SOCIAL PSYCHOLOGY

Assessment 1 – Group Annotated Literature Review document (2 sources per group member) – 20%
For the Annotated Bibliography, 2 sources per individual student should be reviewed (200-400 words for the annotation).
Annotated Bibliography is an evaluation report on the source usefulness for the research on a selected topic. In other words, an Annotated Bibliography is a preparation for a research project or a brief literature review, when you evaluate sources and decide if you wish to use them later.
Selected sources found during the Annotated Bibliography development could be included in the Research Project, if judged as relevant. This is why it is a good idea to look for academically credible sources straight away, though a variety of sources could be used at this stage.
An annotated bibliography represents a list of sources considered for a research on a given topic (textbooks, academic journals, news published in online periodicals, corporate websites, video interviews, etc.). It should provide (1) a reference to the source in Harvard referencing style; (2) a brief description of the content and focus of a given work cited and (3) a consideration of the source’s usefulness for research: an evaluation whether to use or not to use this source in your study, and how this source may be useful. Each annotation should typically be 1 paragraph long (100-200 words), including only important and relevant information. It should be written in write in full sentences using academic vocabulary.
 

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Indicative source types: methodological and theoretical literature 

 

   

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sources published any time with preference for publications less than 10 years old, applied research and business news should typically be less than 3 years old. 

Examples of annotated bibliography entries 

When you compose your annotated bibliography, you will need to consider each part of the bibliography. Sentence starters can help you to focus your thoughts on these questions. 

  • The citation information should be in the same format as it would be in the reference list (in Harvard style) – leave a line BELOW
     
  • A short statement of the author’s perspective (Example of sentence starters: In this article, Johnson reviews . . .; This article examines . . .; The authors describe . . .: The author’s purpose is to challenge . . .)
     
  • A short summary of the theory, research findings, or argument (Example of sentence starters: The main ideas expressed are . . .; Support for these claims is documented . . .; Smith has conducted a thorough investigation of . . .; The author’s research focuses on . . .)
     
  • Comments on the usefulness and/or limitations of the text for your research (Example of sentence starters: The author provides a strong theoretical . . .; The writing style considers a range of audiences . . .; Theories are supported by well-known researchers in this field, such as . . .; There is a lack of supporting evidence . . .; The main limitation of the website …)
     
  • An evaluative comment on the work, taking into account how this work will fit into your research on a topic (Example of sentence starters: This article is useful for my research topic . . .; Because the information is up-to-date and from a reliable source . . .; It is relevant to my study because . . .; In particular, this article will assist . . .)
    Sample annotation paragraph (172 words):
    The article examines the meaning of the word ‘care’ within a nursing context. The responsibility of nurses to provide care is legitimized in numerous documents, and the author goes on to identify key concepts related to nursing care.
    In particular, these concepts include assisting, helping and giving a service; offering this service to people who need help with daily living activities and to others who are affected by health deviations or illness of some kind.
    Moreover, the nurse’s caring role is legitimized by the patients. Finally, the article concludes by relating how these concepts are put into operation by using the steps of the nursing process—assessing, planning, implementing and evaluating the patient’s need for nursing
     

 

   

care. The main limitation of the article is that all of the research was exclusively conducted in large city hospitals.
Therefore, while the article is useful for an analysis of nursing care, the limitations of its research base will require some adaption to meet the needs of this assignment that requires a commentary on services in both city and country area hospitals. 

Specific grading criteria for Assessment 1 (25% each): 

  • Harvard referencing
     
  • Description of the study
     
  • Evaluation of credibility, limitations, and usefulness for doing
    the research on a specified topic
     
  • Following the submission criteria (written/oral/audio/video;
    compliance with the format rules; respecting the structure requirements and deadlines)
  • The word Doc in an example
     

Individual differences in responses to workplace stress: the
contribution of attachment theory
Melissa Johnstone, Judith A. Feeney

School of Psychology, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, QLD, Australia

Correspondence concerning this article should

be addressed to Melissa Johnstone, School of

Psychology, The University of Queensland, St

Lucia QLD 4072, Australia.

E-mail: melissaj@psy.uq.edu.au

doi: 10.1111/jasp.12308

Abstract

Work stress is a major cause of physical and psychological distress, and both theory

and research highlight the importance of individual differences in coping efforts.

The present research clarifies the mechanisms linking attachment insecurities (anxi-

ety and avoidance) to maladaptive coping; specifically, we tested an integrative

model assessing stress appraisals as a mediator between attachment insecurities and

coping strategies, together with mediating and moderating effects of coping resour-

ces (perceived self-efficacy and social support). A community sample of 113 men

and 115 women completed an online survey which incorporated a standardized

vignette depicting workplace stress. The results supported stress appraisal as a medi-

ator between attachment anxiety and less adaptive coping, and established both

mediating and moderating effects of perceived coping resources. The effects

support

the relevance of attachment theory to the study of workplace stress.

The World Health Organization defines work stress as “the

response people may have when presented with work

demands and pressures that are not matched to their knowl-

edge and abilities and which challenge their ability to cope”

(Leka, Griffiths, & Cox, 2004, p. 3). Causes of work stress are

varied, and can include unreasonable performance demands,

lack of autonomy and control over work, unclear roles and

responsibilities, and job insecurity (Bakker & Demerouti,

2007; Leka et al., 2004). The links between work stress and

poorer psychological and physical health are well established

(Semmer, 2003), with work stress being linked to

anxiety

and depression, as well as to physical problems such as

migraines, injury, and sleep disturbances. Further, prolonged

stress may lead to more serious health problems, including

cardiovascular disease (Econtech, 2008). Research has also

demonstrated negative “spillover” effects of job stress onto

couple and family relationships (Ferguson, 2012). The costs

of work stress for the economies of western societies are con-

siderable. It is estimated that work stress costs Australia

$14.81 billion per year in absenteeism and presenteeism (in

which individuals report for work, but do not function opti-

mally) (Econtech, 2008). These costs are likely to increase in

the future as the labor market is affected by increasing job

insecurity, rapid change, and the intensification of work

demands (Landsbergis, Grzywacz, & LaMontagne, 2014).

The present study investigates the implications of attach-

ment insecurities (attachment anxiety and avoidance) for

responses to workplace stress, using a standardized vignette

designed to depict core elements in the experience of work-

place stress: change, challenge, and uncertainty. The study

extends previous research by testing a theoretical model that is

integrative in two respects: first, it combines attachment prin-

ciples with key concepts from the field of stress and coping;

and second, it examines stress appraisal as a mediator between

attachment insecurities and maladaptive coping, together with

the mediating and moderating roles of key coping resources

(perceived self-efficacy and social support). As such, the study

has the potential to identify variables that place some individu-

als at greater risk of negative responses to workplace stress, and

further, to inform interventions that may assist employers and

employees to manage stress more effectively.

The transactional model of stress and

coping

For some decades, the dominant theoretical perspective on

stress and coping has been the transactional (or process)

model, which emphasizes the crucial role of stress appraisals

(e.g., Lazarus & Folkman, 1984; Moos & Billings, 1982). Dif-

ferent people find different events stressful; in order for an

event to be experienced as stressful, it must be appraised as

such. Appraisal, which involves both primary and secondary

elements, refers to an evaluation of the significance of a situa-

tion for one’s well-being, and establishes the meaning of an

VC 2015 Wiley Periodicals, Inc.

Journal of Applied Social Psychology 2015, 45, pp. 412–424

Journal of Applied Social Psychology 2015, 45, pp. 412–424

encounter. Primary appraisal is the individual’s initial rapid

assessment, evaluating a situation as either threatening, chal-

lenging, or benign. Research has identified several dimen-

sions of primary appraisal (e.g., threat, challenge, and

centrality), but the most crucial of these dimensions is threat,

which is defined as the degree of danger and negativity per-

ceived in the situation. Specifically, in a series of studies

investigating appraisals of a range of potential stressors, Pea-

cock and Wong (1990) demonstrated that the threat dimen-

sion of appraisal was most strongly associated with global

ratings of the stressfulness of situations.

Secondary appraisal then focuses on the individual’s per-

ceptions of options and resources for coping, which can

either dampen or increase initial perceptions of threat. Cop-

ing resources can be divided into two broad groups: Personal

resources are relatively stable personality and cognitive char-

acteristics that shape coping processes, while environmental

resources are relevant aspects of the physical and social envi-

ronment. In terms of personal resources, theory and research

indicate that coping is influenced by a range of dispositional

factors (e.g., self-efficacy, optimism) that are related to a

sense of control; further, a major environmental resource is

perceived support from the social network, which has been

linked to positive appraisal and constructive coping (Cicog-

nani, 2011; Holahan, Moos, & Bonin, 1997; Holahan, Moos,

Holahan, & Cronkite, 1999).

Collectively, primary and secondary appraisals then trigger

the selection of coping strategies (Folkman & Lazarus, 1985;

Lazarus & Folkman, 1984). Hence, stress appraisals are cru-

cial because they influence coping behaviors. Individuals

who appraise a situation as overwhelming, and their resour-

ces as inadequate, are less likely to make constructive efforts

to address the situation (problem-focused coping), and more

likely to focus on the negative emotions associated with the

situation (emotion-focused coping). Although emotion-

focused coping can be useful when stressful situations are

beyond the individual’s control, problem-focused coping is

generally regarded as more adaptive (Abraham, Conner,

Jones, & O’Connor, 2008; Lazarus, 1999).

Attachment theory

Given individual differences in stress appraisals and their

implications for coping behavior, it is vital to understand the

sources of these differences in appraisals. Attachment theory

is uniquely suited to this research topic. The attachment sys-

tem is activated by signs of threat or stress, and across the life-

span, attachment-related differences in behavior (i.e.,

differences related to attachment style) are strongest in stress-

ful situations (Bowlby, 1984; Feeney, 1998; Simpson, Rholes,

& Phillips, 1996).

Although early research on individual differences in

attachment security adopted categorical models of attach-

ment style, recent applications to adults’ behavior have

favored a two-dimensional model, defined by attachment

avoidance (marked by avoidance of intimacy, unwillingness

to trust or depend on others, and reluctance to seek or pro-

vide help), and attachment anxiety (marked by fear of rejec-

tion, excessive reassurance seeking, and a desire for extreme

closeness). These differences in attachment security are

thought to be shaped by experiences with caregivers through-

out childhood and adolescence, particularly in the context of

stressful situations (Shaver & Mikulincer, 2013). Individuals

whose caregivers are available and responsive learn that it is

acceptable to express distress and seek help from others. In

contrast, those whose caregivers have been distant and reject-

ing learn that expressing distress in the face of stress is

unlikely to garner effective support, and may even alienate

caregivers; hence, they develop an avoidant approach marked

by compulsive self-reliance and down-playing of attachment

needs. Finally, individuals whose caregivers have responded

inconsistently to their needs and signals learn to make more

frequent and strident demands in stressful situations, in an

attempt to force caregivers to pay attention and provide sup-

port. Thus, they tend to show increased attention to, and

expression of, attachment needs.

Although attachment theory focuses largely on experiences

in close relationships, its relevance to workplace behavior has

been established both theoretically and empirically. Hazan

and Shaver (1987), who conducted the seminal studies of

attachment style and romantic love, subsequently argued that

adults’ workplace behavior has important conceptual similar-

ities to children’s exploratory behavior. Hence, just as secure

attachment facilitates children’s active exploration of the

physical and social environment, secure attachment also pro-

motes effective workplace behavior, marked by a sense of

confidence, by positive relationships with coworkers, and by

an appropriate balance between career strivings and involve-

ment in intimate relationships (Hazan & Shaver, 1990).

Subsequently, a growing body of evidence has supported

these claims. In terms of workplace behavior, studies have

linked secure attachment to such variables as workplace

cohesion, satisfaction with work, and low levels of work

strain and burnout (e.g., Landen & Wang, 2010; Pines, 2004;

Schirmer & Lopez, 2001; Simmons, Gooty, Nelson, & Little,

2009; Vasquez, Durik, & Hyde, 2002). More broadly, research

focusing on such diverse stressors as high workload, chronic

pain, first-time parenthood and relationship conflict, have

linked attachment security to positive appraisals of stress and

adaptive coping strategies. As a result, secure attachment has

been described as a core protective factor from which coping

resources, such as self-efficacy and social support, are derived

(Mikulincer & Florian, 1998).

In terms of primary appraisal, studies have consistently

linked attachment anxiety to perceptions of potentially stress-

ful situations as highly threatening. Attachment

avoidance

Johnstone and Feeney 413

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

has also been associated with appraisals of stressors as threat-

ening, although the findings are not as strong or clear-cut as

for attachment anxiety—this may be because avoidant indi-

viduals often try to block or suppress feelings of vulnerability

(Fraley & Shaver, 1997).

Attachment dimensions are also associated with appraisals

of coping resources. Attachment theory highlights the link

between attachment anxiety and negative working models of

self; that is, anxious individuals tend to perceive the self as

unworthy, unlovable and inadequate. Consistent with this

formulation, attachment anxiety is related to low self-esteem

and to feelings of helplessness and powerlessness (Mikulincer

& Shaver, 2007). Conversely, attachment avoidance is linked

to negative working models of others; that is, to the tendency

to perceive others as unavailable and untrustworthy. In line

with this tenet, avoidance has been related to perceived lack

of social support. However, anxious individuals may also

appraise support negatively, often perceiving others’ support

efforts as inept and inadequate. Thus, both anxiety and

avoidance have been linked to general perceptions of others

as unavailable or unsupportive, and to negative evaluations

of the support provided by friends, partners, and family

members (Gosnell & Gable, 2013; Mikulincer & Shaver,

2007).

With regard to coping strategies, the most robust finding

has linked attachment anxiety with emotion-focused cop-

ing—that is, coping efforts that are directed to managing

emotional distress, rather than dealing with the stressor itself.

Some studies have also linked attachment avoidance with

emotion-focused coping, but this effect seems to apply pri-

marily when stressors are severe or persistent (Mikulincer &

Shaver, 2007, 2013). Findings also suggest that insecure adults

are less likely than secure adults to use problem-focused

strategies—that is, strategies that deal directly with the stres-

sor. Although this finding has not emerged in all studies, null

findings tend to occur in those studies in which participants

receive advice about constructive ways of tackling the situa-

tion (Mikulincer & Shaver, 2007, 2013).

In summary, leading researchers in the field of stress and

coping (e.g., Folkman & Lazarus, 1985; Lazarus & Folkman,

1984) have argued that stress appraisals and coping resources

precede and influence coping. Hence, integrating attachment

theory with the transactional model of stress and coping

implies a mediation model, in which attachment insecurities

predict appraisals of threat (primary) and coping resources

(secondary), which in turn shape the selection of coping

strategies. However, it is important to consider whether the

key coping resources of self-efficacy and social support

should be conceptualized as mediators or as moderators (or

both) of attachment-related effects. With regard to modera-

tion, it is plausible that perceptions of poor coping resources

may exacerbate the tendency of insecure individuals to use

less effective coping strategies, and conversely, that percep-

tions of adequate coping resources may act as a buffer against

maladaptive coping.

The present study

This study was designed to test the proposed mediation

model of attachment, stress appraisals, and coping strategies

in the context of workplace stress, and to investigate possible

moderated (interactive) effects of attachment dimensions

and coping resources in predicting emotion-focused and

problem-focused coping. Drawing on attachment principles,

the research provides a theoretically grounded approach to

the study of workplace stress and coping, aiming to clarify

the inter-related effects of attachment dimensions, stress

appraisal, and coping resources. Methodological strengths

include the use of a structured vignette embedded in an

online survey, and recruitment of a broad community sample

marked by a balanced representation of both men and

women and both younger and older adults.

As noted earlier, the most robust findings from studies of

attachment and stress link attachment anxiety to perceptions

of stressors as threatening and overwhelming, and of the self

as inadequate and helpless. Hence, we expected attachment

anxiety to be associated with more emotion-focused coping

and less problem-focused coping (Hypothesis 1a). Although

the link between attachment avoidance and emotion-focused

coping is less robust, we also predicted that avoidance would

be related to more emotion-focused and less problem-

focused coping (Hypothesis 1b). Regarding attachment and

the mediators, we expected attachment anxiety to predict

threat appraisals (Hypothesis 2a) and low self-efficacy

(Hypothesis 2b), and both anxiety and avoidance to predict

perceptions of low social support (Hypothesis 2c).

Finally, regarding mediation per se, the associations

between attachment anxiety and coping strategies were

expected to be mediated by threat appraisals (Hypothesis 3a).

Further, perceived lack of self-efficacy reflects the negative

self-views that are central to attachment anxiety, and should

hamper involvement in task-oriented activities; hence, we

expected low self-efficacy to mediate the association between

attachment anxiety and less problem-focused coping

(Hypothesis 3b). Conversely, as negative perceptions of others

are the core feature of attachment avoidance, we expected

perceived lack of support from others to mediate the links of

avoidance with more emotion-focused and less problem-

focused coping (Hypothesis 3c). See Figure 1 for a summary

of the proposed mediation model.

As noted, coping resources were expected to play a media-

ting role in the association between attachment insecurities

and coping strategies. However, for completeness, we also

investigated possible moderated (interactive) effects of

attach

ment dimensions and coping resources in predicting

emotion-focused and problem-focused coping.

414 The contribution of attachment theory

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

Method

Participants

A community sample was recruited by 22 students

enrolled in a fourth-year psychology course at a large Aus-

tralian university. To obtain a more representative sample,

each student was asked to recruit a subsample of partici-

pants that varied widely in age, and contained similar

numbers of males and females. A total of 229 participants

(113 male, 115 female; 1 did not indicate gender) com-

pleted the online survey. Participants ranged in age from

17 to 58 years, with a mean age of 32 years (SD 5 11.16).

Approximately 50% of participants held a bachelor

degree; 27% had a high school certificate as their highest

educational qualification; 11% had a diploma or associate

degree; and 6% had an industry or trade certificate. In

terms of work status, 56% were in full-time employment

and an additional 11% and 15% were working on a part-

time or casual basis, respectively. Participants not cur-

rently working were either students (13%); homemakers

(2%); or unemployed (2%). The occupational groups of

professional (32%), manager (13.5%), sales worker

(10%), and clerical/administrative (8%) comprised the

largest categories of paid workers, with the remainder

involved in laboring, trade or technical, or community

work.

Stimulus material: vignette

As part of a larger study of attachment, stress and cop-

ing, participants were presented with the following

vignette depicting a workplace stressor (Karantzas,

2010).

Imagine that your boss has made the decision to re-

organize the workplace. Until now, you have been

doing work which is very familiar to you and which

you have mastered. In its place, you will have to take

on other tasks, which are as yet and prob-

ably not so easy for you to do. You will miss your pre-

vious work very much. You commence a trial period

during which you and your boss will assess your pro-

gress in this new role. The new tasks you have under-

taken are rather difficult for you and don’t satisfy you.

You are really missing your previous work.

Immediately following the vignette, participants answered a

single-item manipulation check designed to ensure that the

vignette was perceived as sufficiently stressful. Specifically,

they rated the extent to which the situation would be stressful

for them on a 10-point Likert scale from 1 (not at all stress-

ful) to 10 (extremely stressful). Responses indicated that, on

average, participants found the vignette quite stressful

(M 5 6.48, SD 5 1.93).

Questionnaire measures

Attachment

Attachment orientations were assessed by the Adult Attach-

ment Questionnaire (AAQ), a 17-item measure that asks

individuals to indicate how they relate to romantic partners

in general (Simpson et al., 1996). The AAQ measures two

dimensions of attachment: avoidance and anxiety (some-

times referred to as ambivalence). Attachment avoidance

(eight items) assesses the degree to which individuals exhibit

Figure 1 Proposed mediation model between the independent variables of attachment anxiety and attachment avoidance, the mediators of threat,

self-efficacy and perceived social support, and the dependent variables of emotion-focused and problem-focused coping.

Johnstone and Feeney 415

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

avoidance or withdrawal from intimacy in relationships, and

the extent to which they have negative views of others. A

sample item is, “I don’t like people getting too close to me,”

with responses keyed so that higher scores indicate greater

avoidance. The nine items measuring anxiety tap the extent

to which individuals are excessively preoccupied with issues

of abandonment, loss, and partners’ level of commitment,

and possess negative self-views. Items include, “I often worry

that my partner(s) don’t really love me.” Each item was

answered on a 7-point Likert-type scale from 1 (totally dis-

agree) to 7 (totally agree).

A large number of studies have supported avoidance and

anxiety as the two major dimensions of attachment security,

and have also established the reliability and validity of the

AAQ scales (see Mikulincer & Shaver, 2007, for a review). In

the present sample, reliability was high for both dimensions

(alpha 5 .82 for avoidance, and .79 for anxiety).

Threat

Four items from the threat scale of the Stress Appraisal Mea-

sure (Peacock & Wong, 1990) were used to assess participants’

perceptions of how threatening they would find the situation

described in the vignette. Sample items include, “How threat-

ening would you feel the situation was?” and “How anxious

would you feel in the situation?” with responses rated on a 5-

point Likert scale from 1 (not at all) to 5 (a great deal). Inter-

nal consistency of the items was high (alpha 5 .85).

Self-efficacy

The 8-item General Self-Efficacy Scale (Chen, Gully, & Eden,

2001) was used to measure overall self-efficacy. For instance,

participants were asked, “I believe I can succeed at most any

endeavour to which I set my mind.” Responses were

recorded on a 5-point Likert scale from 1 (strongly disagree)

to 5 (strongly agree). Scores were averaged across items, and

showed good internal reliability (alpha 5 .92).

Social support

Social support was measured through an adapted version of

the Social Provision Scale developed by Russell and Cutrona

(as described in Cutrona, 1984). The original measure assessed

the six relational provisions identified by Weiss (1974; also see

Russell, Cutrona, Rose, & Yurko, 1984), and included two

items for each provision. The opportunity for nurturance sub-

scale was not used in the current study because it differs con-

ceptually from the other five scales (social integration,

reassurance of worth, attachment, reliable alliance, and guid-

ance), in that it pertains to giving support rather than to

receiving it (Holahan & Holahan, 1987). Given the high inter-

nal consistency of previous versions of the measure, and the

need to keep the length of the overall survey manageable, we

used a single item for each provision. Sample items include,

“There are people I can depend on to help me if I really need

it” (reliable alliance), and “There are people who enjoy the

same social activities I do” (social integration). A 7-point Lik-

ert scale was used from 1 (not at all true) to 7 (completely

true). Items were averaged to create a global social support

score, which showed high reliability (alpha 5 .82).

Coping

A 24-item measure of coping was used to assess the extent to

which participants thought they would engage in emotion-

focused coping and problem-focused coping in response to

the situation described in the vignette. The items were drawn

from the Ways of Coping Checklist (Folkman & Lazarus,

1980). Given concerns about the length, structure, and reli-

ability of the original measure, the shorter version was devel-

oped within an ongoing research program investigating

attachment and coping (Karantzas, 2010).

Emotion-focused

coping was assessed with 16 items, for example, “I wished

that the situation would go away or somehow be over with.”

Six items measured problem-focused coping, including

“Came up with a couple of different solutions to the prob-

lem.” (The remaining two items were not used because the

content did not conform clearly to either emotion-focused

or problem-focused coping.) Items were rated on a 4-point

Likert scale from 1 (not used) to 4 (used a great deal). The

two scales had adequate reliability (alpha 5 .69 for emotion-

focused coping and .72 for problem-focused coping).

Results

The distributions of the variables were first examined; see Table

1 for means and standard deviations. All variables showed

adequate variability, but the social support scale was highly

negatively skewed. Data transformations were attempted but

were not successful in normalising the variable; hence the anal-

yses reported are based on the untransformed data.

Table 1 also presents the intercorrelations between varia-

bles, which offer preliminary support for the hypothesized

relationships. As expected, attachment anxiety was correlated

positively with threat appraisal and emotion-focused coping,

and negatively with self-efficacy, perceived social support and

problem-focused coping. Attachment avoidance showed a

similar pattern of correlates. However, tests of the signifi-

cance of the difference between the correlations for the two

attachment dimensions were consistent with attachment

theory. Specifically, attachment anxiety (conceptually linked

to negative model of self) showed stronger correlations

than attachment avoidance with appraisals of threat,

t (218) 5 1.86, p < .05, and low self-efficacy t (218) 5 1.87,

p < .05, while attachment avoidance (conceptually linked to

416 The contribution of attachment theory

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

model of others) was more strongly correlated than attach-

ment anxiety with negative perceptions of social support

t (218) 5 22.05, p < .05.

Tests of mediators between attachment and
coping strategies

The direct and indirect effects of attachment, threat and cop-

ing resources on emotion- and problem-focused coping were

tested using the recommended 95% bias-corrected bootstrap

procedure (Hayes & Preacher, 2014). This procedure pro-

vides information about the “causal steps” for mediation

outlined by Baron and Kenny (1986), but offers important

advantages. Specifically, the bootstrapping approach has

more power to find indirect effects, quantifies those indirect

effects, does not assume normal distributions, and can test

multiple indirect effects within the one model. The unstan-

dardized coefficients are reported in Table 2.

The findings showed direct paths (Path C) from attach-

ment to coping strategies. Specifically, controlling for other

variables in the model, both attachment scales predicted

more emotion-focused coping, and attachment anxiety also

predicted less problem-focused coping. These results largely

support Hypothesis 1, although the link between avoidance

and problem-focused coping became nonsignificant after

controlling for the other variables. Direct paths from attach-

ment to stress appraisal and coping resources (Path A) also

emerged: anxiety was linked positively to threat and nega-

tively to self-efficacy, whereas avoidance was linked negatively

to perceived social support. These results generally support

Hypothesis 2, although attachment anxiety was not a unique

predictor of social support.

The mediating role of threat, social support and self-

efficacy was tested for significance in accordance with the

bootstrapping procedures recommended by Hayes (2009). To

establish mediation, it is necessary to show a significant path

between the independent variable and mediator, and between

the mediator and the dependent variable; in addition, the

upper and lower confidence intervals for the indirect effect

(shown in the lower section of Table 2) should not include

zero. Using these criteria, the results showed four indirect

effects across the two dependent variables.

� Attachment anxiety had a significant indirect effect on
a) emotion-focused coping and b) problem-focused

coping, via threat appraisal. Specifically, consistent

with Hypothesis 3a, those higher in attachment anxiety

engaged in more emotion-focused coping and less

problem-focused coping, via higher perceived threat.

� Attachment anxiety had a significant indirect effect
on problem-focused coping through self-efficacy; in

line with Hypothesis 3b, higher anxiety predicted less

problem-focused coping through

low self-efficacy.

� Attachment avoidance predicted emotion-focused
(but not problem-focused) coping through social

support; that is, in partial support of Hypothesis 3c,

those high in avoidance perceived less support and

hence engaged in more emotion-focused coping.

Interactive effects of attachment and
coping resources

As noted earlier, we also tested moderated effects of attach-

ment dimensions and coping resources in predicting

emotion-focused and problem-focused coping. This research

question was investigated using two hierarchical (moderated)

regression analyses, one for each coping strategy. Scores on

the two attachment scales and the two coping resources

(mean-centered) were entered at Step 1, and the four interac-

tion terms (the product term of each attachment dimension

with each coping resource) were added at Step 2. The find-

ings from these analyses are presented in Table 3.

Consistent with the results already presented, both attach-

ment dimensions predicted more emotion-focused coping at

Step 1, F(4, 210) 5 12.12, p < .001, R2 5 .19. Further, a signif-

icant amount of variance in the dependent variable was

Table 1 Means, Standard Deviations and Intercorrelations Between Variables

Mean (SD)

Attachment
anxiety
Attachment

avoidance Threat Self-efficacy

Social

support
Emotion-focused
coping

Problem-focused

coping

Attachment anxiety 3.03 (1.06) 1 .33** .28** 2.31** 2.21** .37** 2.22**

Attachment
avoidance

3.30 (1.05) 1 .14* 2.17** 2.36** .30** 2.20**

Threat 3.17 (0.79) 1 2.24** .01 .22** .04

Self-efficacy 4.02 (0.65) 1 .31** 2.17* .41**

Social Support 6.23 (0.87) 1 2.24** .18**

Emotion-focused
coping

2.19 (0.37) 1 2.21**

Problem-focused
coping

2.91 (0.54) 1

* p < .05; ** p < .01.

Johnstone and Feeney 417

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

accounted for by the full model, F(8, 206) 5 7.08, p < .001,

R
2
5 .22. Although the overall increase in explained variance

at Step 2 was not significant (Fch(4, 206) 5 1.85, p 5 .12,

R2ch 5 :03), the interaction between attachment avoidance

and social support reached significance. Follow-up simple

slopes analysis showed that although the positive association

between avoidance and emotion-focused coping was signifi-

cant at high levels of social support, b 5 .216, t 5 2.52,
p 5 .012, it was even stronger at low levels of social support,

b 5 .29, t 5 3.08, p 5 .002 (see Figure 2).
In predicting problem-focused coping, a significant

amount of variance was explained at Step 1, F(4,

212) 5 11.94, p < .001, R 2 5 .18. Self-efficacy was a signifi-

cant predictor, with higher self-efficacy predicting more

problem-focused coping. At Step 2, the full model was signif-

icant, F(8, 208) 5 7.04, p < .001, R2 5 .21. Although the over-

all increase in explained variance was not significant (Fch(4,

208) 5 1.93, p 5 .11, R2ch 5 :03), the interactions of attach-

ment anxiety with self-efficacy and with social support both

attained significance.

These interactions were again followed up with simple

slopes analyses (see Figures 3 and 4). Attachment anxiety was

a significant, negative predictor of problem-focused coping

when self-efficacy was low, b 5 2.23, t 5 22.52, p 5 .012,
but not when self-efficacy was high, b 5 2.01, t 5 .15,
p 5 .881; hence the use of problem-focused coping decreased

Table 2 Unstandardized Coefficients for Regression Analysis with Attachment Avoidance and Anxiety as Independent Variables; Threat, Social Sup-

port, and Self-efficacy as Mediators; and Coping Strategies as Dependent Variables

Emotion-focused coping Problem-focused coping

B SE (B) t p B SE (B) t p

Path A: Attachment to mediators

Threat

Attachment avoidance 0.04 0.05 0.76 .4486 0.04 0.05 0.80 .4262

Attachment anxiety 0.19 0.05 3.58 .0004 0.20 0.05 3.70 .0003

Social support

Attachment avoidance 20.26 0.06 24.63 .0000 20.23 0.05 24.33 .0000

Attachment anxiety 20.06 0.06 21.00 .3171 20.08 0.05 21.44 .1517

Self-efficacy

Attachment avoidance 20.06 0.04 21.36 .1738 20.05 0.04 21.16 .2455

Attachment anxiety 20.16 0.04 23.91 .0001 20.15 0.04 23.67 .0003

Path B: Mediators to coping

Threat 0.06 0.03 2.05 .0420 0.12 0.04 2.65 .0085

Social support 20.07 0.03 22.21 .0279 20.01 0.04 20.20 .8383

Self-efficacy 20.01 0.04 20.30 .7665 0.33 0.06 5.81 .0000

Path C: Attachment to coping (WITHOUT mediators)

Attachment avoidance 0.08 0.02 3.26 .0013 20.06 0.04 21.76 .0805

Attachment anxiety 0.11 0.02 4.92 .0000 20.08 0.04 22.32 .0213

Attachment to coping (WITH mediators)

Attachment avoidance 0.06 0.02 2.31 .0218 20.05 0.04 21.55 .1233

Attachment anxiety 0.10 0.02 4.01 .0001 20.06 0.04 21.59 .1136

Indirect effect(s) through: Effect SE(boot) LLCI ULCI Effect SE(boot) LLCI ULCI

Threat

Attachment avoidance 0.00 0.00 2.0044 .0123 0.01 0.01 2.0094 .0203

Attachment anxiety 0.01 0.01 .0009 .0252 0.02 0.01 .0037 .0508

Social support

Attachment avoidance 0.02 0.01 .0008 .0402 0.00 0.01 2.0214 .0258

Attachment anxiety 0.00 0.00 2.0039 .0119 0.00 0.00 2.0077 .0119

Self-efficacy

Attachment avoidance 0.00 0.00 2.0056 .0071 20.02 0.01 2.0475 .0100

Attachment anxiety 0.00 0.01 2.0128 .0156 20.05 0.02 2.0884 2.0207

418 The contribution of attachment theory

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

as attachment anxiety increased, for individuals reporting

low self-efficacy.

Further, when social support was high, attachment anxiety

negatively predicted problem-focused coping, b 5 2.23,
t 5 22.61, p 5 .010, such that respondents perceiving high

levels of support were more likely to use problem-focused

coping when attachment anxiety was low rather than high.

However, attachment anxiety was unrelated to problem-

focused coping when social support was low, b 5 2.13,
t 5 21.34, p 5 .180.

Discussion

This study investigated the mediating role of threat appraisals

in the association between attachment insecurities and cop-

ing strategies, together with the mediating and moderating

role of key coping resources (general self-efficacy and per-

ceived social support). The results highlight the pervasive

effects of attachment insecurities, which predicted all core

components of the transactional model of stress and coping:

stress appraisal, perceptions of coping resources, and reports

of coping strategies. The findings provide strong support for

the relevance of attachment theory to the study of workplace

stress. Importantly, the results support the proposition that

secure attachment not only promotes effective functioning

within couple and family relationships but also facilitates

adults’ successful negotiation of work-related stressors and

demands (Hazan & Shaver, 1990; Vasquez et al., 2002).

Consistent with the first hypothesis, both attachment

dimensions showed bivariate correlations with emotion-

focused (positive) and problem-focused coping (negative).

Table 3 Moderated Multiple Regression Analyses Predicting Emotion-Focused Coping, and Problem-Focused Coping

Emotion-focused coping Problem-focused coping

b SE (b) B B SE (b) B

Step 1

Attachment avoidance 0.06 0.03 0.16 20.05 0.04 20.10

Attachment anxiety 0.10 0.02 0.29*** 20.04 0.04 20.07

Support 20.06 0.03 20.12 0.01 0.04 0.01

Self-efficacy 20.02 0.04 20.03 0.31 0.06 0.37***

Step 2

Attachment avoidance 0.06 0.03 0.17* 20.04 0.04 20.08

Attachment anxiety 0.10 0.03 0.29*** 20.03 0.04 20.07

Support 20.03 0.04 20.06 0.01 0.05 0.01

Self-efficacy 20.04 0.04 20.07 0.28 0.06 0.34***

Attachment avoidance x support 20.06 0.03 20.17* 0.03 0.04 0.06

Attachment avoidance x self-efficacy 0.03 0.04 0.06 20.02 0.06 20.03

Attachment anxiety x support 0.03 0.03 0.08 20.09 0.04 20.16*

Attachment anxiety x self-efficacy 0.05 0.04 0.09 0.13 0.06 0.17*

* p < .05; ** p < .01; *** p < .001.

Figure 2 Mean scores on emotion-focused coping according to attach-

ment avoidance and social support. Figure 3 Mean scores on problem-focused coping according to attach-

ment anxiety and self-efficacy.

Johnstone and Feeney 419

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

Controlling for other variables in the model, the strongest

association was between attachment anxiety and more

emotion-focused coping. As noted earlier, emotion-

focused coping can be a constructive response in situa-

tions that are beyond the individual’s control. However,

in most stressful situations, reliance on emotion-focused

coping is not adaptive, as it fails to deal with the stressor.

Indeed, over-reliance on emotion-focused coping in the

context of workplace stress leads to poor physical and

emotional well-being (e.g., Regehr, LeBlanc, Barath,

Balch, & Birze, 2012).

In terms of stress appraisal, both attachment dimensions

showed positive bivariate associations with perceptions of the

threat (danger and negativity) associated with the workplace

stressor. However, the association was significantly stronger

for the anxiety dimension of attachment, which (consistent

with Hypothesis 2a) remained a highly significant predictor

of threat appraisal when other variables in the model were

statistically controlled. This finding fits with a growing num-

ber of studies linking adults’ attachment anxiety to percep-

tions of stressors as overwhelming and catastrophic, both in

the workplace (Schirmer & Lopez, 2001) and more generally

(Mikulincer & Shaver, 2013).

With regard to coping resources, bivariate correlations

again linked both attachment dimensions to reports of

low self-efficacy and social support. However, the correla-

tion with self-efficacy was stronger for the anxiety dimen-

sion, whereas the correlation with perceived social

support was stronger for the avoidance dimension. These

findings are consistent with attachment theory, which

emphasises negative working models of self as a core fea-

ture of attachment anxiety, and negative working models

of others as a core feature of attachment avoidance. When

other variables in the model were statistically controlled,

significant relations between attachment dimensions and

coping resources emerged for anxiety and self-efficacy

(supporting H2b), and for avoidance and social support

(in partial support of H2c).

Importantly, the bootstrapping analyses identified four

indirect effects of attachment on coping strategies. Consistent

with Hypothesis 3a, attachment anxiety predicted higher

appraisals of threat, which in turn predicted more emotion-

focused coping and less problem-focused coping. In addi-

tion, there were significant indirect paths from attachment

anxiety to less problem-focused coping via low self-efficacy

(H3b), and from avoidance to more emotion-focused coping

via perceptions of low social support (H3c). When the medi-

ators were included in the model, the paths from the attach-

ment measures to emotion-focused coping remained

significant, indicating only partial mediation. In contrast, the

path from attachment anxiety to less problem-focused cop-

ing was no longer significant, indicating full mediation via

high threat and low self-efficacy. These mediation findings

are important, as they point to mechanisms and processes

that underlie the associations between attachment insecur-

ities and less adaptive coping. As discussed later, these mech-

anisms suggest possible points of intervention for those

facing workplace stress.

There was also evidence, however, of interactive effects of

attachment and coping resources on coping strategies. These

effects highlight the need to consider combinations of risk

factors for less adaptive coping. For example, reports of

emotion-focused coping were particularly high for avoidant

individuals who perceived members of their social network

as unsupportive. Further, the combination of high anxiety

and low self-efficacy was associated with particularly low lev-

els of problem-focused coping. These findings suggest that

negative perceptions of coping resources may increase inse-

cure individuals’ tendency to rely on less adaptive forms of

coping, whereas positive perceptions of resources generally

buffer against this tendency (Seiffge-Krenke, 2011). However,

the final interaction (Figure 4) revealed that levels of

problem-focused coping were particularly high for low-

anxious individuals who perceived high support, but quite

low for anxious individuals who perceived high support. Per-

haps when highly anxious individuals face stressors, members

of the support network are relied on primarily for emotional

venting, rather than as a resource for problem-solving.

Implications of the findings

The current findings have implications for interventions

designed to reduce the effects of workplace stress. Given the

pervasive effects of attachment insecurities on aspects of

stress and coping, there should be clear benefits from assist-

ing insecure individuals to cope with potential stressors. In

line with this assertion, recent decades have witnessed a rapid

growth in interventions directly targeting adults’ negative

working models of attachment (Fonagy, Gergely, & Target,

2008; Slade, 2008). At the same time, it is important to

acknowledge that working models are most malleable during

Figure 4 Mean scores on problem-focused coping according to attach-

ment anxiety and social support.

420 The contribution of attachment theory

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

the formative years of childhood and adolescence; once con-

solidated, they are more resistant to change (Mikulincer &

Shaver, 2007). Hence, although changing working models

remains possible, it can be an intensive process that is beyond

the responsibility of the work environment. However, target-

ing variables that mediate or moderate attachment-related

effects offers a fruitful avenue for promoting positive change.

In terms of primary appraisal, helping anxious individuals

to appraise potential stressors as less threatening and over-

whelming should promote constructive coping behaviors.

Further, anxious individuals are particularly sensitive to

stressful situations that may be seen as signaling rejection or

criticism (Feeney, 1998), and are highly concerned about

evaluations by coworkers (Hazan & Shaver, 1990). If supervi-

sors are aware of these concerns and strive to promote a col-

legial environment, anxious individuals may perceive

workplace stressors—and the workplace environment more

generally—as less threatening.

Regarding secondary appraisal, the current study assessed

coping resources (social support and self-efficacy) in terms of

global perceptions, which are likely to reflect adults’ experi-

ences both within and beyond the workplace. However, both

these coping resources can be targeted in occupational set-

tings. For example, workers’ perceptions of their ability to

deal with major change or job uncertainty are crucial to cop-

ing with workplace stress (Houghton, Wu, Godwin, Neck, &

Manz, 2012). Although the present study assessed general

self-efficacy, this measure has been shown to predict specific

self-efficacy for a range of tasks and contexts (Chen et al.,

2001). We have seen that for anxious persons, low self-

efficacy inhibits problem-focused coping. In this context,

self-efficacy may be enhanced by providing clear information

about impending changes, and helping workers acquire skills

that can be applied directly to new tasks. By introducing

change in manageable stages and providing positive feedback

on task mastery, supervisors may ensure that potentially

stressful tasks do not overwhelm anxious individuals or exac-

erbate their sense of personal inadequacy.

In addition, both peers and supervisors can be valuable

sources of support in the workplace (Linnan, Fisher, & Hood,

2013; Mesmer-Magnus & Glew, 2012). In this regard, it is cru-

cial to note that attachment research has identified two inter-

related components to attachment-related differences in

reports of social support. First, secure individuals develop

stronger and more supportive networks than insecure individ-

uals, as a function of their more open and positive interperso-

nal style. Second, even when the amount and type of available

support are controlled, secure individuals appraise that sup-

port more positively (Gosnell & Gable, 2013; Mikulincer &

Shaver, 2007). Hence, a key contribution of attachment theory

is to highlight the role not only of actual supportive interac-

tions but also of the perceptual biases that drive insecure indi-

viduals to be critical of the support that is offered.

In fostering a sense of support in the workplace, support

provision may need to be salient and consistent to be

appraised as adequate by those who are less secure. In partic-

ular, since avoidant adults are often reluctant to seek and uti-

lize support, supervisors and colleagues should be tactful in

their support efforts, and may need to show continued inter-

est despite initial rejections of support (Halpern, Maunder,

Schwartz, & Gurevich, 2012). Further, support efforts may be

more effective when they focus on issues reflecting avoidant

persons’ goals and concerns, such as enhancing achievement,

rather than on distress per se. This notion is consistent with

recent conceptualizations of secure base support, which focus

on personal growth and exploration (Feeney, Collins, van

Vleet, & Tomlinson, 2013).

Enhancing workers’ sense of security, support and self-

efficacy may seem difficult tasks. However, another contribu-

tion of the integrative model tested in this study is to high-

light the inter-related effects of attachment dimensions and

coping resources throughout the coping process; thus even

relatively small changes in these variables may be beneficial.

We have seen that coping resources act as both mediators

and moderators of attachment-related effects; further,

researchers have noted that perceptions of coping resources

feed back into appraisals of stress (Lazarus & Folkman,

1984). Hence, for example, boosting anxious individuals’

sense of self-efficacy should not only reduce the level of threat

attributed to workplace stressors but also buffer against the

tendency to avoid tackling these stressors.

Limitations, strengths, and future directions

In considering the present findings, it is important to

acknowledge the limitations of the research. A major limita-

tion concerns the cross-sectional design, which precludes

definitive conclusions about causal associations. However, it

should be noted that both attachment theory and empirical

findings support the conceptualisation of attachment inse-

curity as a relatively stable individual-difference variable that

shapes responses to diverse situations, particularly those per-

ceived as stressful (Mikulincer & Shaver, 2013). Another

potential limitation of the study is the reliance on self-

reports. For example, the measure of social support assessed

subjective perceptions of available support, rather than objec-

tive characteristics of the support network. On the other

hand, there is considerable consensus that subjective percep-

tions of support are better predictors of health and well-

being than are objective indicators (Hobfoll, 1996). Another

limitation with regard to measurement was the skewed distri-

bution for social support. However, the associated truncation

of range is likely to under-estimate (rather than over-state)

the strength of associations with other variables.

The study also had noteworthy strengths. These include

the strong theoretical framework, which integrated

Johnstone and Feeney 421

VC 2015 Wiley Periodicals, Inc. Journal of Applied Social Psychology, 2015, 45, pp. 412–424

attachment principles with the transactional model of stress

and coping; as noted earlier, attachment theory is well suited

to this endeavour, given its focus on individual differences in

response to stress and challenge. Further, use of the struc-

tured vignette ensured that all participants were responding

to the same stressor, which was designed to reflect key ele-

ments in the experience of workplace stress (change, chal-

lenge, and uncertainty). Finally, the sampling procedure was

effective in providing a broad community sample in which

different ages, genders, and occupational groups were well

represented.

In evaluating the specific contribution of attachment

theory, it is worth noting that Semmer and Meier (2009) dis-

cussed potential overlap among constructs employed in the

study of stress (e.g., threat, neuroticism or negative affectivity

and emotion-focused coping), and argued the need to clarify

patterns of association. In the present study, neither item

content nor high intercorrelations suggested redundancy

among the focal variables. Further, although attachment

measures tap relatively enduring individual differences, they

are not redundant with alternative constructs such as neurot-

icism or negative affectivity. Neuroticism shows a more

robust link with attachment anxiety than with avoidance

(e.g., Fraley, Heffernan, Vicary, & Brumbaugh, 2011;

Wijngaards-de Meij et al., 2007); even so, this association is

modest in size. Finally, although constructs such as neuroti-

cism and negative affectivity may contribute to the associa-

tions of attachment anxiety with such diverse outcomes as

caregiving, relationship satisfaction, and symptom-reporting,

both cross-sectional and longitudinal research support the

unique predictive utility of attachment measures (Mikulincer

& Shaver, 2007). The finding that each indirect effect in this

study was specific to a particular attachment dimension fur-

ther supports the utility of these scales.

In terms of directions for future research, a clear impera-

tive is the use of longitudinal and/or intervention studies,

which would provide more compelling evidence of the pro-

posed causal associations. Another important initiative

would be the development of new measures of coping,

designed to capture the differing styles of emotional regula-

tion that characterise anxious and avoidant individuals. The

category of “emotion-focused coping” is very broad and

encompasses diverse strategies, some of which seem more

characteristic of attachment anxiety (e.g., wishful thinking),

and some of which seem more applicable to attachment

avoidance (e.g., trying to keep one’s feelings to oneself). Con-

struction of new measures designed specifically to assess

these different approaches to coping is likely to assist profes-

sionals to develop more targeted interventions for anxious

and avoidant individuals.

Summary and conclusions

While work stress is a major cause of physical and psychologi-

cal distress for many individuals, the results of this study sup-

port the role of individual differences in attachment security

in shaping responses to workplace stress. Attachment insecur-

ities are associated with the appraisal of stressors as more

threatening, and with negative perceptions of one’s internal

and external coping resources. In turn, these negative apprais-

als and perceptions are linked to less adaptive coping strat-

egies. Given the pervasive effects of attachment insecurities,

together with the personal and social costs of workplace

stress, the findings highlight the likely benefits of actively sup-

porting individuals who are facing workplace stress. Further,

although informational support is important in the context

of job change and uncertainty, it is equally important to pro-

vide the emotional support that may help counter insecure

individuals’ negative biases in evaluations of self and others.

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Understanding regulatory
focuse

s

The role of employees’ regulatory focus in
stress coping styles, and turnover intent to a

five-star hotel
Hyo Sun Jung and Hye Hyun Yoon

Department of Culinary and Service Management,
College of Hotel and Tourism Management, Kyung Hee University, Seoul,

Republic of Korea

Abstract
Purpose – The aim of the study was to examine whether five-star hotel employees’ promotion focus
significantly influences their task-coping style, and whether their prevention focus has a significa

nt

effect on their emotion- and avoidance-coping styles. This study also investigates the moderating
impact of employees’ tenure on the relationships between stress-coping styles and turnover intent.
Design/methodology/approach – A total of 342 five-star hotel employees in South Korea participated in
the study using a self-administered questionnaire. Confirmatory factor analysis and structural equation modeling
were used to examine the hypothesized relationships between the constructs.
Findings – Hotel employees’ turnover intent decreases when they are motivated by strategies
corresponding to their regulatory focus. This study found that hotel employees’ promotion focus had a
significant positive effect on their task-coping style, whereas prevention focus had a significant
negative effect on the emotion- and avoidance-coping style. In addition, employees’ task-coping styl

e

negatively affected their intent to leave the organization, while their emotion-coping and
avoidance-coping styles positively affected turnover intent. Finally, moderating effects were related to
tenure in the causal relationships among stress-coping styles and turnover intent. Thus, one can infer
that the emotion-coping style has a greater effect on turnover intent in employees with a relatively short
tenure than in those with a long tenure.
Practical implications – This study verified that hotel employees’ regulatory focus plays an
important role in employee behavior within organizations just as individual characteristics such as
personality or values do. Thus, a substantial application plan for employees’ regulatory focus was
proposed for the organizational dimension. In addition, diverse plans were presented for employees’
flexible coping with stress, based on differing turnover intent, depending on employees’ stress-coping
styles. Through this, a plan for reducing employee turnover intent was pursued.
Originality/value – This study associated employees’ stress-coping styles, which had been dealt with in
the human resources management area, with their regulatory focus and showed that different stress-coping
styles might be derived using such regulatory focus; the resulting turnover intent might also be different. The
study results can provide a theoretical basis for understanding relationships among regulatory focus,
stress-copying styles and turnover intent as such research is relatively lacking. Finally, this study is
meaningful in that it applied the regulatory focus theory centered on customer behaviors to employees and
verified the moderating effect of employees’ tenure between stress-coping styles and turnover intent.

Keywords Promotion focus, Regulatory focus, Prevention focus, Stress-coping styles,
Turnover intent, Five-star hotel

Paper type Research paper

The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0959-6119.htm

Regulatory
focus in stress
coping styles

283

Received 13 July 2013
Revised 26 November 2013

27 January 2014
2 March 2014

Accepted 29 March 2014

International Journal of
Contemporary Hospitality

Management
Vol. 27 No. 2, 2015

pp. 283-

307

© Emerald Group Publishing Limited

0959-6119
DOI 10.1108/IJCHM-07-2013-0

288

http://dx.doi.org/10.1108/IJCHM-07-2013-0288

1. Introduction
Motivation is a key theme in organizational behavior (Lee et al., 2010) that refers to
internal or external power supporting and maintaining an individual’s behavior (Steer
and Porter, 1991). A person’s regulatory focus is a specific strategic and motivational
orientation adopted during goal pursuit (Higgins, 1997; Pham and Chang, 2010). Higgins
(2000) used the term regulatory focus to explain motivation in the process of pursuing
one’s goals. Two types of independent self-regulatory focuses can be distinguished
(Higgins, 1997, 2000):

(1) Promotion focus, which emphasizes approach-orientated styles.
(2) Prevention focus, which emphasizes avoidance-oriented styles.

The promotion focus and prevention focus can be situationally induced by priming or
problem framing (Markovits et al., 2008). According to Shah et al. (1998), those with a
promotion focus emphasize passion and achievement and focus on positive results,
whereas those with a prevention focus emphasize stability and responsibility and focus
on negative results. Therefore, those with a strong promotion focus are motivated by
incentives related to goal achievement, while those with a strong prevention focus are
motivated by incentives related to safety goals. Those with a promotion focus
concentrate more on what they can obtain than on what they cannot, and those with a
prevention focus more sensitively respond to what is lost than what is not (Idson et al.,
2000). Therefore, when prevention focus-oriented people make decisions, their most
important goal is “safety”, as they have a strong tendency to avoid risk (Crowe and
Higgins, 1997).

Meanwhile, although faced with the same stressful environment, individuals might
respond differently (Chan, 2003). They might deal with stress using task-coping positive
methods or negative methods of emotion- and avoidance-coping styles depending on
their characteristics (Leandro and Castillo, 2010). Researchers have asserted that
differences in employees’ regulatory focus result in different methods of coping with job
stress because organizational employees prefer to cope with stress using their own
individual styles (Pearlin and Schooler, 1978). How flexibly and actively employees
respond to stressful situations determines whether their organization’s productivity
increases or decreases. In addition, employees’ turnover intent can increase or decrease
depending on the style with which they tackle stress in a stressful situation (Callan et al.,
1994; Nicholls et al., 2012).

However, major issues in research on regulatory focus have concerned marketing
methods based on customers’ regulatory focus in terms of their behaviors
(Brenninkmeijer et al., 2010; Chou and Lien, 2012; Jing and Lee, 2006; Pham and Chang,
2010; Pham and Trudel, 2008; Som and Lee, 2012; Tamar and Higgins, 2006; Trudel
et al., 2012; Wan et al., 2011), while research on the causal relationships between
employees’ regulatory focus and their behaviors within an organization is scarce
(Gorman et al., 2012; Markovits et al., 2008). Markovits et al. (2008) noted that public
employees’ promotion focus greatly influenced their emotional devotion, and their
prevention focus had a relatively significant influence on continuous devotion – a
concept similar to turnover intent. Gorman et al. (2012) observed that promotion focus
had a greater effect on job performance and satisfaction than prevention focus through
a meta-analysis of employees’ regulatory focus, verifying that employees’ promotion
focus triggered more positive job behaviors than their prevention focus.

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Despite its importance, research that has considered organic causality among
employees’ regulatory focus, stress-coping styles and turnover intent remains very rare.
Furthermore, Zhao and Namasivayam (2012) are the only researchers to conduct a
relevant study about hotels, which are representative of firms that provide
customer-oriented services. Hotel employees are exposed to excessive working hours,
tough job demands and a lack of job control (Chiang et al., 2010; O’Neill and Davis, 2011).
In addition, hotels prioritize customers’ emotions rather than employees’ emotions,
thereby forcing employees to show the expressed emotion in the process of having
contact with customers (Jain and Jain, 2005). In particular, customer dissatisfaction is
directly linked to customers’ evaluation of employees. Therefore, hotel employees must
respond consistently with a positive attitude, even to customers’ unfair demands. Hotel
employees may experience dissonance, and thus stress, in their emotions in the work
environment, as opposed to the emotion they are required to express (Lam and Chen,
2012). This can be explained as an effort toward emotional expression demanded from
the organization and as emotional labor (Morris and Feldman, 1996), which is a control,
in the process of employees performing services for customers. Owing to the emotional
coercion associated with this endeavor, hotel employees make an effort to hide or change
their own emotions in the service situation, thereby leading to burnout and stress (Kim,
2008). Because hotel jobs require employees to express positive emotions regardless of
their own emotions, they often experience stress.

Therefore, their turnover intent is relatively higher than in other businesses (Jung
et al., 2012). This leads to the question of whether hotel employees’ approach to coping
with stress and their turnover intent differ according to their regulatory focus – a
personal trait of hotel employees frequently exposed to a stressful situation due to their
job characteristics. Accordingly, through this study, the researcher intended to resolve
this question and discuss efficient styles of coping with stress suitable for hotel
employees’ regulatory focus, thereby aiming to decrease their turnover intent.
Meanwhile, employees’ tenure has a close relationship with their behavior within the
organization (Karatepe and Karatepe, 2010; Elahi and Apoorva, 2012); thus, it is likely
have a differential influence, even on the style of coping with stress in the working
situation and turnover intent.

Specific suggestions that can be derived through this study include the following.
First, hotel employees face many stressful situations in the process of performing their
jobs, and finding appropriate stress-coping styles corresponding to their regulatory
focus is necessary. Accordingly, this study predicts that the different regulatory focus of
hotel employees will result in different styles of coping with stressful situations and that
such regulatory focus influences employees’ organizational attitudes. Thus, this study
first examined appropriate stress-coping styles according to employees’ regulatory
focus in terms of a business’s internal marketing and attempted to use the results as
fundamental material to develop diverse education and training programs. Second, the
study examined whether hotel employees’ stress-coping styles resulted in their differing
turnover intent and helped decrease turnover intent among employees with high
turnover intent through the use of efficient stress-coping styles. Furthermore, the study
aimed to clarify the moderating effect between stress-coping style and turnover intent
according to employees’ tenure. The next section presents the theoretical background
and rationales for the research hypothesis regarding the interaction of employees’
regulatory focus, stress-coping styles and turnover intent. This is followed by the

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empirical studies and results. Finally, we discuss the findings in light of their theoretical
and practical implications.

2. Literature review and conceptual model
2.1 Regulatory focus, stress-coping styles and turnover intent
Regulatory focus (Higgins, 1997) is a theory about how people pursue goals. Regulatory
focus includes promotion focus (positive outcomes) and prevention focus (negative
outcomes) (Higgins et al., 1994; Vaughn et al., 2008). People adjust their motivations
through these two focuses (Higgins, 1997). The promotion focus and prevention focus
are also distinct in the types of strategies that regulatory systems activate in the pursuit
of goals (Pham and Avnet, 2004; Trudel et al., 2012). Promotion focus is sensitive to the
presence or absence of positive outcomes (e.g. ideals, wishes, dreams and aspirations);
thus, the strategic disposition of people with promotion focus is to approach a goal in a
state of enthusiasm (Gino and Margolis, 2011). Meanwhile, prevention focus is generally
avoidance motivated and has a safety or vigilance orientation consistent with an
individual’s required tasks (e.g. duties, responsibilities and obligations) (Arnold and
Reynolds, 2009). Given this negative outcome focus, the strategic disposition of people
with prevention focus is a state of guard (Pham and Chang, 2010).

Stress coping refers to constantly changing cognitive and behavioral efforts to
manage specific external and/or internal demands that are appraised as taxing or
exceeding the resources of the employee (Lazarus and Folkman, 1984). Although the
issue of whether individuals’ capabilities to cope with stress are related to their
temperamental traits or their styles are affected by specific conditions is still under
debate, when there is some reason to cope with stress in environmental terms,
individuals are expected to be able to exert coping abilities. In other words, coping with
stress is perceived as a response, a behavioral concept (Aldwin and Revension, 1987).
Stress-coping styles are divided into three aspects: task coping, emotion coping, and
avoidance coping. Task coping means that employees take active and positive measures
to change a stressful situation by making decisions or taking certain direct actions to
resolve the problem (Higgins and Endler, 1995). This means stress-coping styles in the
form of attempting to resolve a problem employees experienced or making efforts to
figure out the cause of a problem (Folkman and Lazarus, 1980). Accordingly, task coping
is behavior oriented and is employees’ direct coping style for solving stress (Gupta and
Derevensky, 2001). Emotion coping is directed toward regulating the emotions of the
employee under stress (Latack and Havlovic, 1992). This means that when employees
are faced with a stressful situation, they vent their anger to others and intend not to
recognize the problem itself. Avoidance coping can be described as cognitive and
behavioral efforts directed toward minimizing, denying or ignoring a stressful situation
(Holahan et al., 2005). These are stress-coping styles in the form of refreshing themselves
through other activities or just hoping that the stressful situation will disappear. In
general, research suggests that task-oriented coping styles tend to lead to more positive
outcomes (satisfaction and commitment) than emotion- and avoidance-coping styles
(Frydenberg and Lewis, 2004).

Turnover intent is an employee’s intention to quit his or her current job or leave his
or her organization (Meyer and Allen, 1984). It is an advance notice prior to actual
resignation and, in a broader sense, an individual’s movement across the boundary of
membership of a social system (Price, 1977). Macy and Mirivis (1976) noted that a

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change of occupation was a permanent transfer beyond the boundary of an
organization; they differentiated it from temporary dismissal or promotion or transfer
within an organization. As a variable of employees’ behavioral performance, turnover
intent has been used in a majority of studies as a concept to replace turnover behaviors
because turnover intent played the role of an antecedent factor, effectively predicting
actual turnover behaviors (Brown and Peterson, 1993). In addition, turnover intent can
be explained on the basis of individual differences, stress- and change-related attitudes,
and contextual variables, such as interpersonal relationships and culture (Holtom et al.,
2008; Kumar and Singh, 2012).

2.2 Relationship between regulatory focus and stress-coping styles
2.2.1 Promotion focus and stress-coping styles. The research on relationships between
employees’ regulatory promotion focus and stress-coping styles is limited. In a similar
study that examined the relationship between employees’ promotion focus and
stress-coping styles, Shah et al. (1998) found that strong promotion focus are highly
motivated to continue to perform their job. Also, Brenninkmeijer et al. (2010) noted that
high promotion focus of employees had greater influence on relationship between job
resources and their positive behaviors (such as engagement, satisfaction and
commitment) due to their achievement-oriented and challenging attitudes in a job
situation. Of course, this is the limited outcome to the job resource model, thereby being
guessed to be likely difficult to expect direct association with this study. Crowe and
Higgins (1997) stated that a person who is strong in promotion focus desires to establish
a more definite alternative plan after experiencing failure in job situation or being
engaged in difficult work. Brockner and Higgins (2001) found that a person who is
strong in promotion focus positively focuses on the job even in a stressful situation
because of continuous strategic attempts to make it consistent with his/her own goal or
standard. Tamir (2005) asserted that promotion focus was closely associated with
positive emotions related to pleasure and, therefore, in a stressful situation employees
with promotion focus were likely to cope with a stressful situation in a developmental
way. Also, while Laurie (2012) noted that employees with high promotion focus had a
high possibility of coping with a stressful situation in job-oriented ways, Zhao and
Namasivayam (2012) observed that, due to their desire for achievement, employees with
promotion focus wisely cope with stressful conflict situations between their workplace
and home through positive behavior and cognitive strategies. Sassenberg and Scholl
(2013) mentioned that this is accredited to having propensity of performing their own
task autonomously, as the promotion focus is higher in a will to perform challenging
work in value than the prevent focus in a will. This leads to the possibility that a person
with strong promotion focus likely has high intention of controlling initiative by oneself
even in a stressful situation.

2.2.2 Prevention focus and stress-coping styles. Higgins and Tykocinski (1992) noted
that those with strong prevention focus tend to avoid failure, and Brockner and Higgins
(2001) observed that regulatory focus had a close relationship with employees’ emotions
and behavior in a job situation and in particular, prevention focus had significant
relationship with emotions. Tamir (2005) demonstrated that prevention focus is
associated with an emotional state of relief–anxiety; those with a prevention focus are
likely to engage in emotional and avoidance behavior due to their emotional disposition
of anxiety. Brenninkmeijer et al. (2010) suggested that conservative and preventive

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attitudes of employees with high preventive focus more greatly influenced relationship
between their job demand and emotional exhaustion, which may cause their emotional
and avoidance attitudes in a stress coping situation. This is presumed because when
employees have high prevention focus they wish to avoid unwanted or unsatisfactory
conditions; they have a high tendency to be passive and evade risks in a certain situation
and, therefore, also respond negatively to a stressful situation. However, this is also the
limited outcome to a job demand model. Also, Benjamin and Flynn (2006) mentioned
that people with the strong prevention focus do prefer a transactional leader and that
this is accredited to preferring a superior to supplement their own demerit because
of their strong avoidant tendency. Sassenberg and Scholl (2013) noted that a person with
the strong prevention focus prefers complementary situation in job, thereby having the
possibility of likely showing avoidant tendency rather than taking the initiative to find
the solution, given the occurrence of stress. This study suggests that there is a high
possibility that the prevention focus evasively copes with stress of occurring in job
situation. Additionally, the researcher in the present study will make inferences from
some studies that examine differences in employees’ stress-coping styles, according to
their conscientiousness and neuroticism. To infer a relationship between regulatory
focus and stress-coping styles, Vianen et al. (2012) noted that neuroticism is closely
related to prevention focus, while conscientiousness is closely associated with
promotion focus. In a study of similar perspectives, Brebner (2001) observed that
conscientiousness was closely related with task coping, while neuroticism was with
emotion coping. Furlani (2005) and Matthews et al. (2006) demonstrated that those with
strong conscientiousness prefer problem-solving coping styles, while those with high
neuroticism favor emotion-coping styles. Burgess et al. (2010) said that certain
personality traits – openness, agreeableness and conscientiousness – are associated
with problem-solving coping styles, such as active planning and reframing. Kim and
Agrusa (2011) said that neuroticism is highly correlated with the emotion-coping style.

Based on these results, the present study hypothesizes that hotel employees’
promotion focus positively influences their task-coping style (a positive stress coping)
but that prevention focus positively affects emotion-coping and avoidance-coping styles
(negative stress coping). These arguments lead to the following hypotheses:

H1. Employees’ promotion focus is positively related with task-coping style.

H2. Employees’ prevention focus is positively related with emotion-coping style (a)
and avoidance-coping style (b).

2.3 Relationship between stress-coping styles and turnover intent
Studies of employees’ organizational behaviors in accordance with their stress-coping
styles in a stressful situation mostly examine their psychological anxiety or exhaustion
as dependent variables, and few studies have used turnover intent as an ultimate
dependent variable. Most previous studies on stress-coping styles have mentioned
problem-solving styles to cope with stress and they are in contrast with
avoidance-coping measures among measurement scales used in the present study;
avoidance-coping style measures mean stress coping measures not making efforts to
resolve a problem in a stressful situation and just evading them.

In this context, Folkman and Lazarus (1980) asserted that only problem-solving
efforts in an attempt to control problems themselves reduce stress, thereby decreasing

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turnover intent, Lee and Ashforth (1996) noted that the problem-coping style is very
closely related to job exhaustion. Callan et al. (1994) observed that employees’
emotion-coping style causes negative behaviors resulting from anxiety and depression,
and Shevaune (2003) said that the emotion-coping style lowers job satisfaction and
increases voluntary turnover intent. Carmona et al. (2006) asserted that the direct and
temporary stress-coping style increases exhaustion, influencing turnover intent,
whereas Liu and Chou (2006) observed that stress-coping styles increase exhaustion
and, therefore, turnover intent. Boyd et al. (2009) observed that the emotion-coping style
increases emotional exhaustion, thereby decreasing satisfaction and increasing
turnover intent. They stressed the negative effects of the emotion-coping style, noting
that the problem-coping style reduces emotional exhaustion, thereby significantly
affecting job satisfaction and turnover intent. Parker and Martin (2009, 2011) found that
the emotion-coping style induces low job satisfaction and a low level of participation in
an organization; in a study of the effects of restaurant employees’ job stress on their
turnover intent, Kim (2010) verified significant moderating effects of stress-coping
styles, noting that a group with appropriate stress-coping styles reduced turnover intent
caused by job stress. Also, Chang et al. (2006) demonstrated that mental stress becomes
a cause of coping with stress with the avoidant method in a working situation and this
leads to employees’ negative behavior. Welbourne et al. (2007) suggested the association
with turnover intent while mentioning that a stress-coping style in avoidant method
reduces job satisfaction. Golbasi et al. (2008) mentioned that an avoidant and inactive
coping in a stressful situation shows a negative relationship with the job satisfaction.
Nicholls et al. (2012) observed that athletes’ avoidance-coping style negatively affects
satisfaction, but their task-coping style positively influences satisfaction, suggesting
that turnover intent differs according to stress-coping styles. To sum up, it is deemed
that the task-coping style, a positive coping style, decreases turnover intent, and
emotion- and avoidance-coping styles have a relatively strong influence on negative
employees’ attitudes, thereby increasing turnover intent. These arguments lead to the
following hypothesis:

H3. Employees’ task-coping style (negatively) (a), emotion-coping style (positively)
(b) and avoidance-coping style (positively) (c) are related with turnover intent.

2.4 Moderating effects of

employees’ tenure

There are not so many studies which clarified the moderating effect of tenure in the
effects of employees’ stress coping measures on their turnover intent. To mention some
studies, Goldenberg and Waddell (1990) noted that the methods for professors of
nursing studies to cope with stress differed according to their tenure; those who worked
for longer than three years coped with stress in a much more positive way than those
who worked for less than three years. Bennett et al. (1997) also observed that employees
with a long tenure exhibited problem-solving coping styles, while employees with a
short tenure were likely to utilize avoidance-coping styles. Karatepe and Karatepe (2010)
found that the hotel employees who worked for a long time had excellent capabilities to
cope with stress and burnout in their organization. Marjan and Nasrin (2010) also
asserted that the longer an employee’s tenure, the more he or she was likely to cope with
stress in a positive way. In addition, Elahi and Apoorva (2012) showed that an increase
in employees’ tenure led to an increase in their interpersonal skills and self-confidence in
their job, and they came to cope with their job in a problem-solving way. As studies not

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dealing with stress-coping styles, Jung et al. (2012) asserted that the influence hotel
employees’ exhaustion had on their turnover intent was relatively much higher in those
with a short tenure because they did not cope with stress in an efficient way. To infer
from the above studies, employees with a short tenure were lacking in their styles to
cope with stress or exhaustion or adaptability and as a result had greater turnover
intent. Based on the above results, this study hypothesized that the effect of employees’
stress-coping styles on their turnover intent will be different according to their tenure.
Accordingly, this study divided employees into those whose tenure was longer than 10
years and those whose tenure was shorter than 10 years to verify its moderating effect.
The following hypothesis was established (see Figure 1).

H4. The links among employees’ stress-coping styles and turnover intent in
short-tenure (� 10 years) and long-tenure (� 10 years) groups are different.

3. Research methodology
3.1 Procedure and participants
The data used for this study were collected from employees in five-star (deluxe) hotels in
Seoul, South Korea, in 2012. Among 12 five-star chain-hotels located in Seoul, ten hotels
whose human resources management (HRM) department provided organic
collaboration were selected. Once the HRM managers gave permission, employees were
provided with a voluntary survey and were asked by the researcher to complete the
self-administered questionnaires. The completed questionnaires were sealed in
envelopes to protect employee anonymity and were collected by the researcher one week
later. Fifty questionnaires were distributed to each of the ten hotels (a total of 500
questionnaires). Among the 50 copies, 25 copies were distributed to front-of-house
(FOH) employees and the other 25 copies to back of house (BOH) employees. After
eliminating incomplete questionnaires, a total of 342 questionnaires were obtained over
a one-month period (response rate of 68.40 per cent), samples with even a single missing
value were deleted. The characteristics of the participant are presented in Table I.
Sixty-nine per cent of respondents were older than 40 years of age and slightly more

Figure 1.
A proposed model of
regulatory focus,
stress coping styles
and turnover intent

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than three quarters of the respondents were male. Most participants had a community
college or university degree (91.5 per cent). Their primary job positions were BOH
(culinary department) (50.6 per cent), FOH (service department) (26.3 per cent) and
others (management department) (23.1 per cent). The majority were full-time workers
(80.7 per cent). They had been working at their current hotel for five years or fewer (44.2
per cent).

3.2 Instrument development
A pilot test involving 50 five-star hotel employees was conducted to ensure the
reliability of the scales. Some terms that had become indigestible as going through the
translation process were modified on the basis of the results of the pilot test. The reason
was that the same sentence may be understood differently according to cultural
differences and some errors may occur in the process of transforming an English
questionnaire into a Korean questionnaire (Adler, 1983; Brislin, 1980). Pilot testing was
performed through interviews with 25 FOH employees and 25 BOH employees. Several
modifications were subsequently made based on the results. The survey instrument was
divided into four parts:

(1) regulatory focus;
(2) stress-coping styles;
(3) turnover intent; and
(4) participants’ demographic information and job-related information.

Table I.
Profile of the sample

(n � 342)

Characteristic N (%)

Age
21 to 30 years 106 31.0
31 to 40 years 117 34.2
Older than 40 years 119 34.8

Gender
Male 265 77.5
Female 77 22.5

Education
High school 29 8.5
Community college degree (2 years) 180 52.6
University degree (4 years) 133 38.9

Position
BOH 173 50.6
FOH 90 26.3
Others 79 23.1

Tenure
5 years and below 151 44.2
6-9 years 34 9.9
10-14 years 33 9.6
15 years and above 124 36.3

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To measure employees’ regulatory focus, this study adapted the ten-item scales by
Brenninkmeijer et al. (2010). We examined two dimensions of employees’ regulatory
focus (Brenninkmeijer et al., 2010; Lockwood et al., 2002): promotion focus (five items)
and prevention focus (five items). Regulatory focus items were “In general, I am focused
on achieving positive outcomes in my life” (promotion focus), and “I often worry that I
will fail to accomplish my academic goal” (prevention focus).” Each regulatory focus
item was measured with ten items using a 7-point scale: “How much do you agree or
disagree with these statements?” (1: strongly disagree to 7: strongly agree).
Stress-coping styles were measured using nine items on a 7-point scale (1: strongly
disagree to 7: strongly agree) based on the work of Endler and Parker (1994) and
Matthews and Campbell (1998). We examined three dimensions of stress-coping styles
(Matthews and Campbell, 1998): task coping, emotion coping and avoidance coping.
Stress-coping style items were:

• “I worked out a strategy for successful performance” (task coping).
• “I became preoccupied with my problem” (emotion coping).
• “I stayed detached or distanced from the situation” (avoidance coping).

Respondent turnover intent was also measured on a 7-point scale (1: strongly disagree to
7: strongly agree), as developed by Cammann et al. (1979), Seashore et al. (1982) and Jung
et al. (2012). The turnover intent items included:

• “I have given some serious thought to looking for a job in another company”; and
• “I will quit my job at my current organization in 1 year or less.”

Part 4 contained questions about participants’ demographic information (e.g. age,
gender and education) and job-related information (e.g. position and tenure).

3.3 Analysis
The collected data were analyzed using the AMOS program. Descriptive statistics were
performed to profile the sample’s demographic and job-related questions. Data were
analyzed using the two-step approach recommended by Anderson and Gerbing (1988).
First, a confirmatory factor analysis (CFA) with maximum likelihood was performed to
estimate the measurement model, which determined whether the manifest variables
reflected the hypothesized latent variables. Second, a structural equation modeling
(SEM) was used to test the validity of the proposed model and hypotheses.

4. Results
4.1 Measurement model
As shown in Table II, confirmatory measurement models demonstrated the soundness
of the measurement properties (�2� 563.51; df � 215; p � 0.001; �2/df � 2.62; GFI �
0.88; NFI � 0.91; CFI � 0.94; IFI � 0.94; RMSEA � 0.06). Also, convergent validity was
observed as all confirmatory factor loadings exceeded 0.70 and were significant at the
alpha level of 0.001 (Anderson and Gerbing, 1988). Internal consistency in each
construct was acceptable with composite reliability estimates, ranging from 0.72 to 0.89
(Fornell and Larcker, 1981). Cronbach’s alpha estimates ranged from 0.84 to 0.95 and
were considered acceptable (Nunnally, 1978). In addition, all average variance extracted
(AVE) estimates exceeded the recommended 0.50 threshold (Fornell and Larcker, 1981).

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Discriminant validity was evident as the variance extracted estimates, ranging from
0.65 to 0.83 (promotion focus � 0.73; prevention focus � 0.65; task coping � 0.65;
emotion coping � 0.72; avoidance coping � 0.67; turnover intent � 0.83), exceeded all
squared correlations for each pair of constructs, ranging from 0.01 to 0.09 (See Table III).
This study additionally verified multicollinearity as no correlation coefficients exceeded
0.5 (0.04-0.31). The result (Table III) revealed no problem with collinearity, as tolerance
was far greater than 0.1, and variance inflation factor was far less than 10. Also, to
address a potential common method bias, we checked for possible common method
variance using Harman’s single-factor test (Harman, 1967; Podsakoff et al., 2003). An
exploratory factor analysis of the 26 items revealed seven factors with eigenvalues
greater than 1.00. No single factor explained a majority of the variance, thus providing

Table II.
Reliabilities and CFA

properties

Construct Standardized loadings t-value CCRa (Cronbach’s alpha) AVEb

Promotion focus 0.89 0.73
MF1 0.85 Fixed (0.93)
MF2 0.88 21.28***
MF3 0.89 21.97***
MF4 0.78 17.61***
MF5 0.86 20.60***

Prevention focus 0.82 0.65
VF1 0.76 Fixed (0.90)
VF2 0.82 15.48***
VF3 0.82 15.45***
VF4 0.84 15.89***
VF5 0.78 14.69***

Task coping 0.84 0.65
TC1 0.87 Fixed (0.84)
TC2 0.83 13.61***
TC3 0.71 15.56***

Emotion coping 0.72 0.72
EC1 0.86 Fixed (0.87)
EC2 0.96 20.97***
EC3 0.71 15.33***

Avoidance coping 0.78 0.67
AC1 0.82 Fixed (0.86)
AC2 0.88 15.59***
AC3 0.77 15.07***

Turnover intent 0.86 0.83
TI1 0.83 Fixed (0.95)
TI2 0.96 24.59***
TI3 0.96 24.78***
TI4 0.90 22.21***

Notes: a CCR � composite construct reliability; b AVE � average variance extracted; �2 � 563.51
(df � 215) p � 0.001; �2/df � 2.62; GFI � 0.88; NFI � 0.91; TLI � 0.93; CFI � 0.94; IFI � 0.94;
RMSEA � 0.06; *** p � 0.001

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evidence that common method bias was not a threat. In addition, our scale items
revealed eight factors that explained 83.761 per cent of the variance in our study’s
constructs, with the first factor explaining 23.404 per cent and the last factor explaining
6.280 per cent of the total variance.

4.2 Structural equation modeling
SEM was conducted to test the validity of the proposed model and the hypotheses
(Bagozzi and Yi, 1988). Hu and Bentler (1999) recommended that comparative fit index
(CFI), Tucker–Lewis index root (TLI), mean square error of approximation (RMSEA), or
relative noncentrality index (RNI) should be used as the suitability index when the
number of sample cases is greater than 250 and that the datum points should be greater
than 0.95 in CFI and less than 0.06 in RMSEA, with Types 1 and 2 errors taken into
account. Figure 2 presents the estimated model, illustrating the direction and magnitude
of the impact of the standardized path coefficients. The chi-square statistic indicated
that the model did not fit the data well (�2 � 573.64; df � 218; p � 0.001; �2/df � 2.63).

Figure 2.
SEM with parameter

estimates

Table III.
Means, standard
deviations and
correlation analysis

Construct 1 2 3 4 5 6 Mean � SDa

Promotion focus 1 5.25 � 1.13
Prevention focus 0.15*** 1 4.38 � 1.17
Task coping 0.26*** �0.11*** 1 5.38 � 0.85
Emotion coping �0.16*** 0.23*** �0.09 1 4.04 � 1.46
Avoidance coping �0.05 0.15*** 0.23*** 0.30*** 1 4.98 � 1.11
Turnover intent �0.24*** 0.04 �0.10 0.31*** 0.24*** 1 3.53 � 1.65

Notes: a SD � standard deviation, all items were measured on a 7-point likert scale from 1-strongly
disagree to 7-strongly agree; all correlations are significant at p � 0.01; multicollinearity: tolerance
(promotion focus � 0.85; prevention focus � 0.87; task coping � 0.83; emotion coping � 0.84; avoidance
coping � 0.82), variance inflation factor (promotion focus � 1.16; prevention focus � 1.14; task
coping � 1.19; emotion coping � 1.20; avoidance coping � 1.21); *** all correlations are significant at
p � 0.01

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Given the sensitivity of the chi-square statistics to sample size (Bentler and Bonett,
1980), other fit indices were also examined. Other goodness-of-fit (GFI) indices proved
that the structural model reasonably fit the data (GFI � 0.88; AGFI � 0.85; NFI � 0.91;
CFI � 0.94; RMSEA � 0.06). The model’s fit, as indicated by these indices, was deemed
satisfactory; thus, it provided a good basis for testing the hypothesized paths (Table IV).
H1, which hypothesized a positive significant relationship between employees’
promotion focus and task coping, was supported. Promotion focus significantly affected
the task-coping style, a positive stress-coping style (� � 0.28; t-value � 4.65; p � 0.001);
those with achievement-oriented promotion focus are considered to overcome stress by
utilizing active and realistic measures by making positive changes in their jobs. H2,
which predicted a positive significant relationship among employees’ prevention focus,
emotion coping and avoidance coping, was also supported. Prevention focus
significantly influenced the emotion-coping style (� � 0.23; t-value � 3.88; p � 0.001)
and the avoidance-coping style (� � 0.12; t-value � 1.97; p � 0.001), negative
stress-coping styles. Employees with strong prevention focus tend to escape from stress
by using emotional or avoidance styles; therefore, prevention focus is considered to have
significant influence on the emotion-coping style or avoidance-coping style, which are
negative stress-coping styles. Based on these results, we verified complete differences in
employees’ stress-coping styles according to the regulatory focus. In H3, we predicted
the influence of employees’ coping styles on turnover intent. In more detail, task coping
(� � �0.18; t � �3.25; p � 0.001), emotion coping (� � 0.26; t � 4.33; p � 0.001) and
avoidance coping (� � 0.22; t � 3.84; p � 0.001) significantly affected employees’
turnover intent, thereby supporting H3. We found that, among employees’ stress-coping
styles, the task-coping style decreased turnover intent, whereas the emotion-coping or
avoidance-coping styles increased it.

In addition, as a result of considering the direct effect of regulatory focus and
turnover intent, even if not mentioned in the results, the promotion focus (� � �0.15;
t � �2.072; p � 0.01) had a negative influence upon turnover intent. The prevention
focus (� � �0.04; t � �0.68; p � 0.05) was not found to have a significant influence on

Table IV.
Structural parameter

estimates

Hypothesized path �-value t-value Results

H1 Promotion focus ¡ Task coping 0.28 4.65*** Supported
H2a Prevention focus ¡ Emotion coping 0.23 3.88*** Supported
H2b Prevention focus ¡ Avoidance coping 0.12 1.97* Supported
H3a Task coping ¡ Turnover intent �0.19 �3.32*** Supported
H3b Emotion coping ¡ Turnover intent 0.23 4.32*** Supported
H3c Avoidance coping ¡ Turnover intent 0.22 3.84*** Supported
Goodness-of-fit statistics �2(221) � 592.68 (p � 0.001)

�2/df � 2.68
GFI � 0.88

AGFI � 0.85
NFI � 0.90
CFI � 0.94

RMSEA � 0.07

Notes: * p � 0.05, *** p � 0.001; GFI � goodness-of-fit index; NFI � normed fit index; CFI �
comparative fit index; RMSEA � root mean square error of approximation

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coping styles

turnover intention, which further suggests that efficient development in employees’
promotion focus possibly leads to preventing the turnover of excellent human resources.
Brenninkmeijer et al. (2010) found that employees with strong promotion focus
sensitively respond in the relationship between job resources and motivational
attitudes, and as a result, promotion focus more greatly acts in job resources, decreasing
turnover intent more than prevention focus.

4.3 The moderating effect of employees’ tenure
To test the moderating effects of employee tenure on stress-coping styles, and turnover
intent, based on a multigroup approach, �2 differences with two degrees of freedom were
used to compare the two models (unconstrained and constrained) for each of the path
coefficients, consecutively. The results of the moderating effects of tenure are shown in
Table V. The unconstrained model for tenure showed a good fit to the data
(�2 � 1,074.08; df � 442; p � 0.001; �2/df � 2.43; GFI � 0.80; NFI � 0.84; TLI � 0.88;
CFI � 0.90; IFI � 0.90; RMSEA � 0.06). As for the link between employees’
stress-coping styles and turnover intent, statistically significant group differences were
detected based on the �2 differences between the two models (emotion coping ¡
turnover intent; � �2(df � 1) � 16.49, p � 0.05). The results showed that the effects of
employees’ emotion-coping style on turnover intent were significantly stronger in the
short-tenure group (� � 0.40; p � 0.001) than in the long-tenure group (� � 0.01; p �
0.05). In emotion-coping style employees, those with fewer than 10 years of work
experience had higher turnover intent than those with more than 10 years of work
experience. To sum up, it can be inferred that the emotion-coping style has a greater
effect on turnover intent in employees with relatively a short tenure than in those with a
long tenure. H4 was partially accepted as well.

5. Discussion and conclusion
5.1 Conclusion
In this study, we examined the regulatory focus of five-star hotel employees in relation
to stress-coping styles and turnover intent. We found that the promotion focus of hotel
employees had a significant, positive effect on their task-coping style. These findings
support the results of previous work (Vianen et al., 2012; Zhao and Namasivayam, 2012),
suggesting that those with a promotion focus, who are achievement- and challenge
oriented, overcome stress with positive task-coping styles. The prevention focus also
had a significant, positive effect on the emotion-coping style and avoidance-coping style.
This was consistent with the result that employees with high prevention focus tend to
avoid a new task by using emotion- and avoidance-coping styles in a stressful situation
(Brenninkmeijer et al., 2010; Tamir, 2005). Those with a prevention focus, who are
conservative, are expected to respond to stress through emotion-coping styles or
negative styles of avoidance, such as drinking and forgetting. Those with a promotion
focus are expected to be sensitive to achievement, improvement and enhancement and to
be oriented toward strategies to approach their goals with an attitude of accepting
challenges; such strategies are also applied to their stress-coping styles (Higgins, 2000).
On the other hand, those with a prevention focus are not challenge oriented, but engage
in avoidance behaviors to try to escape anxiety; therefore, they cope with stress in an
emotional and avoiding way.

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Table V.
Moderating effects of

employees’ tenure

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297

Regulatory
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coping styles

As for the link between stress-coping styles and turnover intent, the influence of
stress-coping styles on turnover intent was significant. In more detail, the result was
consistent with those of other studies in that employees’ stress-coping styles in the form
of task-oriented problem-solving decreased their turnover intent (Folkman and Lazarus,
1980; Nicholls et al., 2012). However, their emotion- and avoidance-coping styles
increased their turnover intent (Boyd et al., 2009; Shevaune, 2003). One can infer that
task-coping styles are active strategies for resolving problems and reducing turnover
intent, whereas emotion- and avoidance-coping styles heighten turnover intent by
increasing emotional exhaustion. One key result obtained in this study is that those with
a promotion focus used task-coping styles that decreased their turnover intent. Another
aspect is that a prevention focus increased employees’ turnover intent by influencing
their emotion- and avoidance-coping styles. This is a meaningful result because it
verified Higgins’ (2000) theory that promotion focus concerns humans’ positive results
and prevention focus concerns their negative results through its application to hotel
employees.

In addition, in stressful situations, employees’ emotion-coping style resulted in a
greater increase in turnover intent among those with fewer than 10 years of work
experience than those with more than 10 years. This was partially consistent with the
results of Goldenberg and Waddell (1990), Bennett et al. (1997) and Elahi and Apoorva
(2012), who found that, compared to employees with a long tenure, those with a short
tenure coped with stressful situations emotionally and, as a result, their turnover intent
increased.

5.2 Theoretical implications
This study examined the regulatory focus of employees working in five-star hotels to
verify the different effects of employees’ regulatory focus on stress-coping styles and
turnover intent. Theoretical implications of this study can be considered largely in the
context of three aspects.

First, the characteristic propensity of the hotel industry was reflected by performing
research targeting hotel employees. Studies to date have largely examined causal
relationships between employees’ regulatory focus and their stress-coping style in
organizations in the service industry. However, this study examined employees’
regulatory focus, stress-coping styles and turnover intent, which have not been
investigated in the existing research on the hotel industry, using the regulatory focus
theory that recently came into the spotlight. At this point, based on the theory that
employee turnover decreases when employees are motivated by strategies
corresponding to their regulatory focus, this study examined whether hotel employees’
promotion focus significantly influenced their task-coping style (positive stress-coping
style) and whether their prevention focus had a significant effect on their emotion- and
avoidance-coping styles (negative stress-coping styles). This study contributes to
activating research on hotel employees’ regulatory focus. In particular, hotel
employees – as members of the service industry – are likely to be exposed to stress; they
often come into direct contact with customers because the occupational group
performing emotional labor in this work situation is the hotel (Lee et al., 2012).
Accordingly, compared to other industries, hotel employees are excessively forced to
deal with expressed emotions (Lam and Chen, 2012). Thus, employees’ regulatory focus

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and an efficient coping style for stress in hotel employees’ job situations play an
important role in reducing their turnover intent.

Second, regulatory focus was used as an important variable available for reducing
employees’ stress and turnover intent. Most of the research has considered the difference
based on character or value system as an individual characteristic. However, this study
is significant for having performed research by using a characteristic variable dubbed
regulatory focus. In particular, as the regulatory focus is a motivational variable that
influences people’s emotions, thoughts and behavior, it functions as an important
psychological mechanism that causes and perpetuates employees’ behavior within an
organization. Through this study, this regulatory focus was considered to be the
important variable in considering employees’ coping style and employees’ turnover
intent. Also, applying an expanded regulatory focus theory, which has been so far
focused on the consumer behavior dimension, to the context of employees within an
organization was significant.

Third, the study considered causality between regulatory focus and
stress-coping style and turnover intent. A noteworthy body of research involving
regulatory focus has questioned whether a correlation between coping style and
turnover intent exists. However, nothing in research has considered causality
among three variables on the basis of employees’ psychological condition. The
present study associated employees’ stress-coping styles with their regulatory focus
and showed that different stress-coping styles might be derived using such
regulatory focus and the resulting turnover intent might also be different.
Therefore, the study results can provide a theoretical basis for understanding
relationships among regulatory focus, stress-copying styles and turnover intent as
such research is relatively lacking.

Finally, this study is also meaningful in that it applied the regulatory focus theory
centered on customer behaviors to employees and verified the moderating effect of
tenure between coping styles and turnover intent.

5.3 Practical implications
Most people dislike stress. They have their own coping styles given the occurrence of stress
in a working situation. Which style do most people use to cope with stress? One person may
have the choice of accepting risk to cope with a situation dubbed stress, while another may
have a safer choice. The regulatory focus can be the representative motive theory to explain
the behaviors of employees within organizations. Will there be a difference in coping method
in a stressful situation based on employees’ regulatory focus? Also, will employees’ turnover
intent vary depending on the style of coping with stress? This study has significant
implications for practice. In short, based on the premise that individuals’ different regulatory
focus leads to differing stress-coping styles and resulting differences in turnover intent, it is
necessary to discriminatively apply employee assistance programs or job programs to each
individual.

In conclusion, an individual enhances his/her motives and behaviors in pursuit of
a strategy to conform more with his/her regulatory focus (Brenninkmeijer et al.,
2010; Lockwood et al., 2002). The promotion focus is very similar to the positive
emotion dubbed pleasure (Tamir, 2005); a pleasurable atmosphere encourages
achievement and improvement to reduce turnover intent. On the other hand, for

299

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those with a strong prevention focus, it is necessary to introduce training programs
to prepare them in advance so that they do not feel anxious and to induce them to
cope with stress actively. To this end, if the prevention focus is significant, the
tendency to be afraid of and avoid the dangerous situation becomes evident. Thus,
promotion of an emotion-related program is considered likely to contribute to
positive job attitudes so that employees can work in a comfortable atmosphere with
emotional stability. In addition, as the Myers–Briggs type indicator and Big Five
model are used for employees’ training and education or development, seeking
measures to assess and use the regulatory focus that affects their behavior
is important. Furthermore, given that employees with a high prevention focus
negatively cope with stressful situations, hotels should devise a continuous
participation program designed to help employees develop positive attitudes
regarding their work situation through stress control that is offered by professional
counselors.

This study also verified that stress-coping styles have different influences on
turnover intent. Employees’ task-coping style, characterized by the reasonable
resolution of and response to problems through tasks, negatively affected turnover
intent, whereas the emotion- and avoidance-coping style positively influenced
turnover intent. Thus, when faced with a stressful situation, those with a
task-coping style oriented toward problem-solving adapt more swiftly to the
situation than those who emotionally avoid the problem or emotionally respond to it;
accordingly, the former’s possibility of engaging in negative behaviors decreases.
These results suggest that active task oriented stress-coping styles can reduce
turnover intent and induce job satisfaction. Thus, hotels should seek to conduct
appropriate stress-coping training at the organizational level, provide styles their
employees can use to cope with and overcome stress effectively and adopt styles to
reduce negative behavior and turnover intent. To achieve these goals, managers
should provide continuous exchange or feedback so that their subordinates can cope
with stressful situations in a positive way. More specifically, they should
understand that stress is not a negative thing and, if efficiently managed, it can act
as an important factor in reducing job transfer. Virtual education using video or
other the Internet media can be provided to enhance employees’ efficiency in coping
with stress. In addition, it is important to manage stress to manage performance.
Employees who manage stress efficiently can be selected as role models, and
sufficient incentives or rewards can be provided to them so that other employees are
motivated. Furthermore, for strategic stress management, supporting employees’
cultural or leisure life by, for example, activating sports clubs or introducing
mentoring or coaching programs is necessary. In particular, there is a need to offer
opportunities for employees to directly select a mentor or coaching object, not a
uniform mentoring or coaching program.

According to the results of the present study, employees whose tenure was shorter
than 10 years had higher turnover intent than those with longer tenure. Based on such a
result, hotels should offer training in stress coping and emotion management to those
with tenure shorter than 10 years, as well as practical advice so that they can devote
themselves to their organization and perform their duties in such a way that they find
gratification in their employment.

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5.4 Limitations and future research
Despite its important implications, this study has several limitations that need to be
addressed. First, the sample consisted of hospitality industry employees working at
five-star hotels. In addition, the sampling rate of employees at FOH departments
who directly contact customers among hotel employees was relatively small. Also,
the sample of this study is located in the East Asia (in South Korea), which likely
reflected the characteristic propensity in the oriental culture that tries to pursue
avoidant behavior rather than being dangerous and challenging in the case of
synchronizing it with the prevention focus (Oh and Ha, 2010). Therefore, the
generalizability of the results might be limited to employees in particular categories.
A future study that comparatively analyzes hotels and companies in other areas of
the hospitality industry would be meaningful. Second, regulatory focus might result
in differences due to cultural differences (Lockwood et al., 2005; Uskul et al., 2009);
therefore, it is necessary to take these differences into consideration according to the
respondents’ various cultural spheres. Third, the sample size of female employees
was too small, making it difficult to generalize the results. Fourth, because of the
self-report survey used in this study, limitations might exist due to common method
bias or the lack of objectivity. Fifth, because of the lack of prior studies examining
regulatory focus and stress-coping styles, this study inferred association between
personality characteristics and regulatory focus, thereby complementing its
hypotheses on stress-coping styles. Therefore, future research examining
associations between personality characteristics and regulatory focus and looking
at different stress-coping styles is suggested. Sixth, considering the significant
relationship with regulatory focus, stress-coping strategy and turnover intention
according to emotional labor level of being perceived by employees is considered to
be a likely significant attempt as a follow-up research. This study only examined
employees’ regulatory focus, stress-coping styles and personal turnover intent;
future research should deeply examine associations between the variables and
organizations’ actual management performance.

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Corresponding author
Hye Hyun Yoon can be contacted at: hhyun@khu.ac.kr

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  • Understanding regulatory focuses
  • 1. Introduction
    2. Literature review and conceptual model
    2.1 Regulatory focus, stress-coping styles and turnover intent
    2.2 Relationship between regulatory focus and stress-coping styles
    2.2.1 Promotion focus and stress-coping styles
    2.2.2 Prevention focus and stress-coping styles
    2.3 Relationship between stress-coping styles and turnover intent
    2.4 Moderating effects of employees’ tenure
    3. Research methodology
    3.1 Procedure and participants
    3.2 Instrument development
    3.3 Analysis
    4. Results
    4.1 Measurement model
    4.2 Structural equation modeling
    4.3 The moderating effect of employees’ tenure
    5. Discussion and conclusion
    5.1 Conclusion
    5.2 Theoretical implications
    5.3 Practical implications
    5.4 Limitations and future research
    References

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