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The Influence of Workplace Incivility on Employees’ Emotional Exhaustion in Recreational Sport/Fitness Clubs: A Cross-Level Analysis of the Links between Psychological Capital and Perceived Service Climate

1
Department of Physical Education, Health & Recreation, National Chiayi University, Chiayi 62103, Taiwan
2
Department of Leisure Service Management, Chaoyang University of Technology, Taichung 41349, Taiwan
3
Physical Education and Arts School, Chengyi University College, Jimei University, Xiamen 361021, China
4
Department of Leisure Management, Taiwan Shoufu University, Tainan 72153, Taiwan
*
Author to whom correspondence should be addressed.
Healthcare 2019, 7(4), 159; https://doi.org/10.3390/healthcare7040159
Received: 1 October 2019 / Revised: 22 November 2019 / Accepted: 4 December 2019 / Published: 6 December 2019

Abstract

The aim of this study was to explore the influence of workplace incivility on the emotional exhaustion of recreational sport/fitness club providers through a cross-level analysis. A total of 200 recreational sport/fitness club providers from Taiwan were selected for the repeated collection of measures and a 10-day diary method was used. The effect of workplace incivility on recreational sport/fitness club employees’ emotional exhaustion on a daily basis was analyzed at the intra-personal level, and the relationship between psychological capital and perceived service climate was studied at the inter-personal level. Five hypotheses were developed and tested using hierarchical linear modeling. The results found that employees’ emotional exhaustion and burnout highly correlated with workplace incivility and service climate. Based on the results, recommendations for employees and sport/fitness centers are proposed. Furthermore, research limitations and future directions are discussed.
Keywords: sport centers; positive psychology; hierarchical linear modeling; diary-method sport centers; positive psychology; hierarchical linear modeling; diary-method

1. Introduction

The market share of recreational sport/fitness clubs is consistently expanding and evolving. Over the years, private clubs, such as World Gym, BEING Sport, Curves, and Fitness Factory have become established in many different cities in Taiwan and continue to grow [1]. According to Lin and Teng [2], employees in the service-oriented industry are asked to conceal their emotions, put on a smile, and provide the best services for customers regardless of their internal feelings at all times. However, it is very likely that they may suffer emotional burnout under such circumstances. Emotional exhaustion often arises when employees are faced with difficult customers. It should be noted that the emotional exhaustion of service-providing employees can drive customers away, and results in a reduction of customers and sales [3]. Emotional burnout can have tremendously negative impacts on the job satisfaction and performance of employees, and eventually cause them to quit [4,5,6]. Therefore, this study aimed to explore the relationships among emotional exhaustion, job performance, emotion burnout and related factors, in recreational fitness and health club service staff.
The diary method, as Hershcovis and Reich [7] pointed out, collects self-repeated reports, because the same variables are observed over a longer period of time. Unlike cross-sectional data, repeated measures can capture the participants’ dynamic perspectives, attitudes, and feelings. Halbesleben and Wheeler [8] used a five-day diary method to study interpersonal workplace aggression from an integrated perspective. Through examining and critiquing current methods, measurement, and proposing different approaches, they concluded that the diary method can explore workplace aggression in a more dynamic and contextualizing way.
Employees at health and fitness centers are the key to service quality and customer satisfaction. However, the workplace incivility they face on a daily basis may be sabotaging their performance, and the negative effect of emotional exhaustion is largely overlooked. Therefore, the present study used the diary method to collect individual, intrapersonal perceptions of workplace incivility and emotional burnout, and analyzed the relationship between incivility and emotional burnout. In addition, the study also collected interpersonal data, such as psychological capital (PsyCap) and perceived service climate and performed a cross-sectional analysis to examine the sport/fitness clubs’ cross-level impacts on employee burnout.

2. Hypothesis Development

2.1. Work Incivility and Emotional Burnout

In an organizational context, affective event theory (AET) explains employees’ everyday mood and emotions [9]. Johonson and Indvic [10] pointed out that workplace incivility creates a hostile environment. Any simple incivility within the environment eventually turns out to be violence, hurting employees physically and mentally. Furthermore, Vickers [11] discovered that workplace incivility discourages teamwork, and the loss of team spirit is then accompanied by a subsequent sense of loneliness. For instance, when service providers deal with unfriendly demanding customers, they are usually stressed and hurt [12]. Incivility inside or outside the organization typically results in negative attitudes, which later affect employees’ job performance and job satisfaction [9]. If negative thoughts accumulate fast enough, employees are more like to feel emotionally exhausted and quit their job. Based on literature evidence, the following hypothesis was proposed:
Hypothesis 1 (H1).
Workplace incivility has positive effects on emotional burnout.

2.2. PsyCap and Emotional Burnout

PsyCap is characterized by four qualities: efficacy, optimism, hope and resilience [13,14]. As Locke and Latham [15] reported, individuals with higher self-efficacy were more likely to set and achieve high goals, and to attempt harder tasks. Similarly, Yu, Chen, and Hung [16] stated that employees with the same quality tended to perform well through difficult times. They analyzed situations, maintained composure, and outperformed themselves. In addition, Snyder [17] proposed that hope creates positive moods and attitudes which lead individuals to the right pathways (strategies) to reach goals. Scheier and Carver [18] indicated that optimistic people expected good things to happen. Based on the broaden-and-build theory, positive moods change individuals’ thinking and behavior, making them more creative and innovative. Positive moods enhance individuals’ physical, mental, social and psychological well-being, all of which increase employees’ competence [19]. Literature evidence concluded that employees with higher self-efficacy feel more capable of achieving goals, stay positive when facing challenges, select the right pathways to goals, and are thus less likely to feel emotional burnout.
Hypothesis 2 (H2).
PsyCap has negative effects on emotional burnout.

2.3. Work Incivility, PsyCap and Emotional Burnout

Workplace incivility happens all the time. Interrupting phone calls, expressing a lack of respect, and unfair treatment are typical examples of workplace incivility. It produces negative emotions, resulting in employees’ no longer wanting to contribute to the organization [20]. As Pugh [21] indicated, service providers were more likely to feel emotional exhaustion when they were asked to restrain their inner feelings and not show their authentic selves [22]. According to Tosten and Toprak [23], individuals high in PsyCap are generally optimistic, manage their emotions and handle life pressure well, and hope for the best. Furthermore, Afzal, Atta, and Malik [24] discovered that those with high levels of PsyCap were determined to achieve goals while facing challenges, and maintained high hopes while embracing struggles.
Hypothesis 3 (H3).
PsyCap has a moderating effect on the relationship between workplace incivility and emotional exhaustion.

2.4. Service Climate and PsyCap

The literature evidence suggested that PsyCap leads to positive moods, fosters personal well-being, increases organizational commitment, and improves job performance [13]. Schneider, White, and Paul [25] stated that the extent to which employees are rewarded for delivering quality service determines the strength of their organization’s service climate. In addition, as reported by Walumbwa, Peterson, Avolio, and Hartnell [26], an organization’s service climate has some level of effect on its employees’ PsyCap, which leads to high job performance. In other words, employees who perceive a high service climate have higher PsyCap. Liu [16] discovered that employees’ perceptions of the service climate have significant positive effects on their PsyCap. Therefore, the study proposed the following:
Hypothesis 4 (H4).
Service climate has a significant positive effect on PsyCap.

2.5. Service Climate and Emotional Burnout

The job demands–resources model proposes that an organization’s service climate requires employees to engage with job resources. Their engagement not only influences their mental health, but also increases their job performance [27]. Several studies have shown that emotional demands on service providers are typically high. Thus, a positive organizational service climate—amid workplace incivility—is a prominent interpersonal resource, and it buffers the impact of job demands on stress-reactions [28]. Importantly, perceived service climates help service providers at health and fitness clubs cope with workplace incivility, promote their perceived organizational support, foster improved job performance, and reduce stress and burnout.
Hypothesis 5 (H5).
Perceived service climate has significant negative effects on emotional burnout.
Figure 1 presents the research hypotheses framework.

3. Methods

3.1. Participants

The subjects of the research were members of the service staff at health and fitness centers located in different cities, including Taipei City, New Taipei City, Chiayi City, Chiayi County, Tainan City, and Kaohsiung City in Taiwan. A total of 2000 employees were selected to participate in the research. Data were collected using the 10-day diary method. In order to increase the response rate, a mobile text message was set to send to each individual participant at 17:00 every afternoon. All the subjects were informed about the data collection procedure when they were invited to participate in the research. Data were collected under a clearly informed consent agreement. The research was reviewed and approved by the Institutional Review Board. A total of 1790 valid responses were retrieved, with a valid return rate of 89.5%.

3.2. Research Instruments

Research participants were invited to complete their 10-day diary within a month. Workplace incivility and emotional burnout were assessed on a daily basis; therefore, data were retrieved for 10 consecutive days. On the other hand, PsyCap and service climate—which were individual level variables—were collected on the first day of participation and examined accordingly. The scales used in the research and demographic variables are presented as follows.

3.2.1. Demographic Variables

Demographic variables were designed to meet the specific research needs. Demographic variables included gender (male = “1”, female = “2”), age, education level (middle school = “1”, high school = “2”, college = “3”, masters or above = “4”), marital status (not married = “1”, married = “2”), perceived health status (ranging from 1 = “bad” to 5 = “excellent”), and length of service (in years).

3.2.2. Workplace Incivility Checklist

The workplace incivility checklist used in the present study was modified from Liu and Dai [29]. The checklist had 14 items, which consisted of five dimensions: exclusionary behavior, gossiping, hostility, privacy invasion, and abuse of power. Participants were asked to respond yes or no to formulated questions based on research dimensions. These questions included: Have you been in a situation where your supervisor/co-workers (a) doubted your judgment in a matter over which you have responsibility? (b) Addressed you privately in unprofessional terms? (c) Made demeaning, rude, or derogatory remarks about you? (d) Took away your office supplies without your permission and did not return them? (e) Treated you unfairly? Each “yes” answer counted as 1 point. The total score ranged from 0 to 14.

3.2.3. Emotional Exhaustion Scale

The Emotional Exhaustion Scale was modified from the measurement of experienced burnout originally introduced by Maslach and Jackson [30]. Statements were rewritten to best suit the research needs. The four statements were: (a) I feel burn out from my work; (b) dealing with customers all day is really a strain for me; (c) I feel used up at the end of workday; (d) I feel emotionally drained from work today. All items were measured using a 5-point Likert scale, ranging from 1 being “strongly disagree”, to 5 being “strongly agree”. The confirmatory factor analysis (CFA) showed the model was a good fit (χ2 / df = 3.33, GFI = 0.98, CFI = 0.98, NNFI = 0.95, RMSEA= 0.07). Cronbach’s α was 0.900, indicating that the reliability of the scale was acceptable.

3.2.4. Psychological Capital Scale

Psychological capital scale was adopted from Luthans, Youssef, and Avolio [14] and Yu et al. [16]. The scale comprised 16 questions, including four dimensions of self-efficacy, hope, optimism, and resilience. Sample statements based on four dimensions, respectively, were: (a) I feel confident that I can work with colleagues in a professional manner; (b) I am optimistic about what will happen to me in the future as it pertains to work; (c) I work as the goals set by the belief that where there is a will, there is a way; (d) I usually manage difficulties one way or another at work. All items were measured using a 5-point Likert scale, ranging from 1 being “strongly disagree”, to 5 being “strongly agree”. The confirmatory factor analysis (CFA) showed the model was a good fit (χ2 / df = 3.17, GFI = 0.93, CFI = 0.96, NNFI = 0.94, RMSEA= 0.07). Cronbach’s α was 0.907, indicating that the reliability of the scale was acceptable.

3.2.5. Perceived Service Climate Scale

The perceived service climate scale was modified from Schneider et al. [25], which had four dimensions. However, a unidimensional global service climate was found in much literature [25,31,32]. Therefore, the scale had 7 questions, covering only one dimension. A sample statement was “Employees in our organization have knowledge of the job and the skills to deliver superior quality work and service”. All items were measured using a 5-point Likert scale, ranging from 1 being “strongly disagree”, to 5 being “strongly agree”. The confirmatory factor analysis (CFA) showed that the model was a good fit (χ2/df = 5.16, GFI = 0.90, CFI = 0.96, NNFI = 0.93, RMSEA= 0.09). Cronbach’s α was 0.927, indicating that the reliability of the scale was acceptable.

3.2.6. Control Variables

The control variables which were considered to affect employees’ psychology and behavior were gender, age, education level, health status and length of service. Control variables were selected based on relevant research [29,33].

3.3. Data Analysis

Statistical analysis was performed using SPSS 21.0 for Windows (IBM SPSS software, CA, USA) [34] and HLM 7.0 (Scientific Software International, Inc., IL, USA) [35] Given the significance level of 0.05, hypothesis testing was conducted using descriptive statistics, confirmatory factor analysis, and hierarchical liner modeling.

4. Results

4.1. Data Aggregation and Variable Descriptive Statistics

Table 1 presents the mean (M), standard deviation (SD), and correlations of the aggregates within and between subject variables. As for workplace incivility (scores ranging from 0 (low) to ~14 (high)), most participants perceived low workplace incivility, which was good to know that most customers in gyms or fitness centers were nice customers. As for emotional exhaustion, most participants reported low emotional exhaustion (scores ranging from 1 (low) to 5 (high)). Among those participants (n = 1790), most of them were female (M = 1.68), married (M = 1.77), with a college degree (M = 3.04), at an age of around 30 years old (M = 30.42), and their average length of service was 5.29 years. As for perceived health status, most of them felt their health status was good (M=3.46, scores ranging from 1 = “bad” to 5 = “excellent”). As for psychological capital and perceived service climate, most participants had high psychological capital (M = 3.46), and perceived high service climate (M = 3.88).

4.2. Hypothesis Testing

Five research hypotheses were formulated and tested using hierarchical linear modeling. Results were presented as follows.

4.2.1. Null Model Analysis

The research intended to analyze the effects of within-subject variables and between-subject variables on the emotional exhaustion of frontline service employees at health and fitness centers. The cross-level analysis was primarily verified using null model analysis. Bliese [36] suggested to use the intra-class correlation coefficients (ICCs) as indicators to test whether the data are appropriate for HLM analysis. Two types of ICCs can explain the aggregation levels of the data structure: ICC (1) represents the percentage of variance between groups and ICC (2) represents the reliability of the group mean scores. The ICC (1) value must be equal to or greater than 0.07, while ICC (2) values must be equal to or greater than 0.50 [37]. A Chi-square test in null model, presented in Table 2, indicated that between-subject variance in employees’ emotional exhaustion was significant (χ2 = 1487.98, df = 178, p < 0.001), and that ICC (1) was 0.424, indicating that the individual factor accounted for 42.4% of variance of employees’ emotional burnout. According to James [38], an ICC (1) greater than 0.12 indicates acceptable reliability; therefore, hierarchical liner modeling was used for data analysis. Moreover, Glick [39] suggested that ICC (2) is an index of the reliability of group. Measure was consistent with ICC (2) being greater than 0.60. The ICC (2) of workplace incivility was 0.853 and employee emotional burnout was 0.880, indicating high reliability. The level-1 and level-2 models for emotional exhaustion and workplace incivility, respectively, are expressed as follows:
Emotional Exhaustion
Level-1 Model
Emotional Exhaustion_ mj = ψ0j + emj
Level-2 Model
ψ0j = γ00 + u0j
Workplace incivility
Level-1 Model
Workplace incivility_ mj = ψ0j + emj
Level-2 Model
ψ0j = γ00 + u0j

4.2.2. HLM Analysis

In Table 2, M1 reported that out of six control variables (gender, age, marital status, educational level, work tenure, and perceived health status), perceived health status was the only variable that had a significant effect on the emotional burnout of service providers at health and fitness centers (γ06 = −0.216). This indicated that perceived health status was negatively associated with emotional burnout.
Workplace incivility had significant positive effects on emotional exhaustion (ψ1 = 0.230), indicating that H1 was supported. PsyCap, however, had significant negative effects on emotional burnout (γ07 = −0.318); thus, H2 was supported. Furthermore, PsyCap was found to have no mediating effects on the relationship between incivility and burnout. H3 was rejected. Lastly, H5 was supported because perceived service climate had significant negative effects on burnout (γ08 = −0.118).
Level-1 Model
Emotional Exhaustion_mj = ψ0j + ψ1j* (Workplace incivility mj) + emj
Level-2 Model
ψ0j = γ00 + γ01*(Gender_Mj) + γ02*(Age_Mj) + γ03*(Marrige_Mj) + γ04*(Eduation_Mj) + γ05*(length of service_Mj) + γ06*(Health_Mj) + γ07* (PsyCap l_Mj) + γ08*(Perceived service climate_Mj) + u0j
ψ1j = γ10+ γ11*(PsyCap _Mj)
The results of regression reported the significant positive effect of PsyCap on the perceived service climate (β = 0.590, p < 0.05). Higher levels of PsyCap were associated with higher levels of perceived service climate. Results of hypothesis testing are presented in Table 2 and Figure 2.

4.3. Discussion

4.3.1. Effects of Control Variables on Emotional Exhaustion

The research results reported that, out of five control variables (gender, age, marital status, education level, length of service, and perceived health status), perceived health status was highly associated with emotional exhaustion. Service providers who considered themselves as having a high perceived health status were less likely to experience emotional burnout. Similarly, health care professionals with higher physical health perception were found to have lower fatigue and stress [40]. Individuals with high perceived health status in general were less likely to experience job burnout [41]. Additionally, Chen, Davis, Daraiseh, Pan, and Davis [42] reported that nurses who exercised every week had less fatigue and better recovery outcome.

4.3.2. Workplace Incivility and Emotional Exhaustion

The 10-day diary method was utilized to collect repeated measures from service staff at health and fitness clubs. With five control variables controlled, research findings indicated that workplace incivility might cause employees’ emotional exhaustion. The findings were consistent with affective events theory (AET), that claims that workplace incivility might influence employees’ everyday emotion and behaviors [9]. Cortina [43] also found that workplace incivility was negatively associated with job performance, work atmosphere and team morale. Incivility—which is defined by Anderson and Pearson [44] as low-intensity deviant behavior with ambiguous intent to harm the target, in violation of workplace norms for mutual respect—takes many forms. When compared to physical harassment, incivility is typically thought to be low intensity; therefore, it draws little attention and becomes prevalent [43,45]. Pearson and Porath [46] discovered that prevailing incivility in a workplace tended to hurt individual employees and teams as a whole, disengaged employees, and sabotaged team cohesiveness [47]. In line with our research, these findings suggest that workplace incivility should not be treated lightly.
Three common causes of workplace incivility are abusive supervision, employee mistreatment or discrimination, and disrespectful customers [48,49]. The first two causes come within the organization, while the third cause comes from outside. While it is widely believed that employees’ commitment to service and professionalism makes a great first impression, which creates an image in the mind of customers, the reality is far from the truth. Because professional development training is overlooked and underappreciated as an employee recruitment tool, organizations find it difficult to hire full-time employees who are willing to contribute [50]. Incivility has negative consequences in the workplace and remains a prevailing issue in service industry.

4.3.3. Relationships among PsyCap, Workplace Incivility and Emotional Exhaustion

Throughout the cross-level analysis, the result indicated that PsyCap had no moderating effect on the relation between workplace incivility and emotional burnout. PsyCap, on the other hand, was found to have significant negative effects on emotional exhaustion, and so did perceived service climate. PsyCap, according to Luthans, Youssef, and Avolio [14], is composed of four positive capacities, namely self-efficacy, optimism, hope and resilience. The first capacity is self-efficacy, a sense of self-confidence in one’s own ability and the sense that one has the capacity to put forward the effort to achieve a goal. Optimism, the second element, is the sense that one can succeed both now and in the future, and is based on the concept that positive events are internal. The third element is hope, and it is the sense of individual agency, or control, to work toward one’s goals. The final attribute is resilience, characterized as one’s positive ability to cope with the adversity or stress often found in conflicts or failures, the idea being that one can bounce back to attain success when faced with deep adversity or challenge.

4.3.4. Service Climate and Emotional Burnout

The results showed that service climate had a negative impact on emotional burnout. An encouraging service climate plays a vital role in service quality [25]. The findings were consistent with the job demands resources model that claims service climate as being a resource engagement that strengthens employee relationships and buffers the negative impact of job demands on burnout [28]. Moreover, a good service climate makes individual employees fully aware of the purpose of their job and the meaning behind it and enhances their work engagement [51]. According to Crawford, LePine, and Rich [52], a positive service climate makes employees face challenges energetically to become completely involved in their jobs.

4.3.5. Service Climate and PsyCap

Results showed that service climate was found to be significantly positively related to PsyCap, which is consistent with Liu’s assertion [16] that positive service climates elevated employees’ PsyCap levels.

5. Conclusions

5.1. Summary

According to our findings, first, we found that among five control variables (gender, age, marital status, education level, length of service, and perceived health status), perceived health status was positively correlated with emotional exhaustion. Second, we found that workplace incivility might cause employees’ emotional exhaustion. Third, throughout the cross-level analysis, the result indicated that PsyCap had no moderating effect on the relationship between workplace incivility and emotional burnout. PsyCap, on the other hand, was found to have significant negative effects on emotional exhaustion, and so did perceived service climate. Fourth, service climate had negative impacts on emotional burnout and, finally, service climate was found significantly positively related to PsyCap.

5.2. Suggestion

According to the findings, suggestions have been made for managerial implications. As for frontline employees at sport and fitness centers, it is suggested to use the facilities at the workplace which can improve their health and decrease emotional exhaustion. As for workplace incivility, the human resources department may establish appropriate procedures to assist employees in coping with difficult people to decrease employees’ emotional exhaustion. As for PsyCap, people were not born with PsyCap. In fact, PsyCap can be developed through learning. Therefore, for any individual or organization, the recognition and development of PsyCap could help develop better self-awareness [53]. Individuals can invest in learning to strengthen their cognitive abilities, self-management skills and personality traits to reduce emotional exhaustion [54]. As for the service climate, organizations can establish a unique positive service climate through training programs, performance appraisals and systems for rewarding good performance to reduce employees’ emotional burnout. As for the relationship between service climate and PsyCap, it is encouraged that the management at health and fitness centers create a positive service climate to increase their employees’ PsyCap.

5.3. Limitations

Upon the first day of the participants’ recruitment, all respondents promised to complete the daily investigation. However, there may have been some tired-out employees forgetting to complete the daily investigation and leaving their responses to the very next day, or even just simply using the next day’s perception. In any case, we strived to encourage the participants to complete the daily investigation to avoid this confusion.

Author Contributions

Conceptualization, C.-M.C. and H.-C.H.; Formal analysis, C.-M.C.; Funding acquisition, L.-W.L.; Investigation, C.-M.C.; Methodology, C.-M.C.; Project administration, H.-H.H.; Supervision, H.-H.H.

Funding

We thank the Ministry of Science and Technology, Taiwan, ROC, for providing the funding for this research. (Funding number: MOST 106-2410-H-415 -035).

Acknowledgments

This research was supported by the Ministry of Science and Technology, Taiwan, ROC. We are also grateful to all the participants who participated in our investigation. In addition, we would like to express our sincere appreciation for the reviewers who provided insights related to this research to improve this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Su, S.P.; Lin, S.W.; Shu, Y. Trend analysis of health/fitness center. Bio Leis. Ind. Res. 2007, 5, 77–97. [Google Scholar]
  2. Lin, C.J.; Teng, C.C. Exploring the relationships between emotional intelligence and emotional exhaustion of flight attendants: Moderating effects of leisure adaptation strategies and perceived supervisor support. Fu Jen J. Hum. Ecol. 2012, 18, 63–85. [Google Scholar]
  3. Liu, Y.H.; Pan, W.H.; Chung, C.C. A study of leisure participation, career development and burnout of exercise instructors in sport & health clubs. Sports Exerc. Res. 2005, 7, 11–24. [Google Scholar]
  4. Xu, Y.P.; Li, Z.Y. The relationship between consumer unethical behaviors and employee’s emotional exhaustion: A moderated mediation model. Chin. J. Appl. Psychol. 2014, 3, 280–288. [Google Scholar]
  5. Hsiao, W.J. Intraindividual variability in affect and the effect on workplace. J. Hum. Resour. Manag. 2014, 14, 81–109. [Google Scholar]
  6. Chen, C.F.; Kau, Y.L. Investigating the antecedents and consequences of burnout and isolation among flight attendants. Tour. Manag. 2012, 33, 868–874. [Google Scholar] [CrossRef]
  7. Hershcovis, M.S.; Reich, T.C. Integrating workplace aggression research: Relational, contextual, and method considerations. J. Organ. Behav. 2013, 34, 26–42. [Google Scholar] [CrossRef]
  8. Halbesleben, J.R.B.; Wheeler, A.R. I owe you one: Coworker reciprocity as a moderator of the day-level exhaustion-performance relationship. J. Organ. Behav. 2011, 32, 608–626. [Google Scholar] [CrossRef]
  9. Weiss, H.M.; Cropanzano, R. Affective Events Theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. In Research in Organizational Behavior; Staw, B.M., Cummings, L.L., Eds.; JAI Press: Greenwich, CT, USA, 1996; pp. 1–74. [Google Scholar]
  10. Johonson, P.R.; Indvic, J. Stings and arrows of rudeness: Incivility in the workplace. J. Manag. Dev. 2001, 20, 705–713. [Google Scholar] [CrossRef]
  11. Vickers, M.H. Writing what’s relevant: Workplace incivility in public administration—A wolf in sheep’s clothing. Adm. Theory Prax 2006, 28, 69–88. [Google Scholar] [CrossRef]
  12. Pearson, C.M.; Andersson, L.M.; Wegner, J.W. When workers flout convention: A study of workplace incivility. Hum. Relat. 2001, 54, 1387–1419. [Google Scholar] [CrossRef]
  13. Luthans, F.; Luthans, K.W.; Luthans, B.C. Positive psychological capital: Beyond human and social capital. Bus. Horiz. 2004, 47, 45–50. [Google Scholar] [CrossRef]
  14. Luthans, F.; Youssef, C.M.; Avolio, B.J. Psychological Capital; Oxford University Press: Oxford, UK, 2007. [Google Scholar]
  15. Locke, E.A.; Latham, G.P. Building a practically useful theory of goal setting and task motivation. Am. Psychol. 2002, 57, 705–717. [Google Scholar] [CrossRef]
  16. Liu, K.C. The Research of Service Climate, Psychological Capital and Service-Oriented Organizational Citizenship Behavior—A Case of the First Line of the Taipei City District Office Staff. Unpublished Master’s Thesis, Tamkang University, Sin-Pak, Taiwan, 2015. [Google Scholar] [CrossRef]
  17. Snyder, C.R. Hope theory: Rainbow in the mind. J. Psychol. Inq. 2002, 13, 249–275. [Google Scholar] [CrossRef]
  18. Scheier, M.; Carver, C. Dispositional optimism and physical well-being: The influence of generalized outcome experiences on health. J. Personal. 1987, 55, 169–210. [Google Scholar] [CrossRef]
  19. Tugade, M.M.; Fredrickson, B.L. Regulation of positive emotions: Emotion regulation strategies that promote resilience. J. Happiness Stud. 2007, 8, 311–333. [Google Scholar] [CrossRef]
  20. Lim, S.; Cortina, L.M.; Magley, V.J. Personal and workgroup incivility: Impact on work and health outcomes. J. Appl. Psychol. 2008, 93, 95–107. [Google Scholar] [CrossRef]
  21. Pugh, S.D. Service with a smile: Emotional contagion in the service counter. Acad. Manag. J. 2001, 44, 1018–1027. [Google Scholar]
  22. Chi, N.W. Helpful or harmful? Exploring the moderating effects of supervisory and coworker support on the relationships between emotional labor, service performance and turnover intentions. Organ. Manag. 2015, 7, 115160. [Google Scholar]
  23. Tosten, R.; Toprak, M. Positive psychological capital and emotional labor: A study in educational organizations. Cogent Educ. 2017, 4, 1301012. [Google Scholar] [CrossRef]
  24. Afzal, A.; Atta, M.; Malik, N.I. Role of Positive Psychological Capital in Prediction of Emotions and Subjective Wellbeing among Adolescents. J. Indian Acad. Appl. Psychol. 2016, 42, 72–81. [Google Scholar]
  25. Schneider, B.; White, S.S.; Paul, M.C. Linking service climate and customer perceptions of service quality: Test of a causal model. J. Appl. Psychol. 1998, 83, 150–163. [Google Scholar] [CrossRef]
  26. Walumbwa, F.O.; Peterson, S.J.; Avolio, B.J.; Hartnell, C.A. An investigation of the relationships among leader and follower psychological capital, service climate, and job performance. Pers. Psychol. 2010, 63, 937–963. [Google Scholar] [CrossRef]
  27. Bakker, A.B.; Demerouti, E. The job demands-resources model: State of the art. J. Manag. Psychol. 2007, 22, 309–328. [Google Scholar] [CrossRef]
  28. Bakker, A.B.; Demerouti, E.; Euwema, M.C. Job resources buffer the impact of job demands on burnout. J. Occup. Health Psychol. 2005, 10, 170–180. [Google Scholar] [CrossRef]
  29. Liu, C.E.; Dai, W.W. A literature review on workplace incivility. Chin. J. Manag. 2012, 7, 1092–1097. [Google Scholar]
  30. Maslach, C.; Jackson, S.E. The measurement of experienced burnout. J. Occup. Behav. 1981, 2, 99–113. [Google Scholar] [CrossRef]
  31. Jong, A.; Ruyter, K.; Lemmink, J. Service climate in self-managing teams: Mapping the linkage of team member perceptions and service performance outcomes in a business-to-business setting. J. Manag. Stud. 2005, 42, 1593–1620. [Google Scholar] [CrossRef]
  32. Schneider, B.; Ehrhart, M.G.; Mayer, D.M.; Saltz, J.L.; Niles-Jolly, K. Understanding organization-customer links in service settings. Acad. Manag. J. 2005, 48, 1017–1032. [Google Scholar] [CrossRef]
  33. Krumal, S.; Geddes, D. Exploring the dimensions of emotional labor: The heart of Hochschild’s work. Manag. Commun. Q. 2000, 14, 8–49. [Google Scholar] [CrossRef]
  34. IBM Corp. Released. IBM SPSS Statistics for Windows; Version 21.0; IBM Corp: Armonk, NY, USA, 2012. [Google Scholar]
  35. Raudenbush, S.W.; Bryk, A.S.; Cheong, Y.F.; Congdon, R. HLM 7 for Windows; [Computer software]; Scientific Software International, Inc.: Skokie, IL, USA, 2015. [Google Scholar]
  36. Bliese, P.D. Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In Multilevel Theory, Research, and Methods in Organizations: Foundations, Extensions, and New Directions; Klein, K.J., Kozlowski, S.W.J., Eds.; Jossey-Bass: San Francisco, CA, USA, 2000; pp. 349–381. [Google Scholar]
  37. Castro, S. Data analytic methods for the analysis of multilevel questions: A comparison of intraclass correlation coefficients, rwg(j), hierarchical linear modeling within- and between-analysis, and random group resampling. Leadership Quarterly. 2002, 13, 69–93. [Google Scholar] [CrossRef]
  38. James, L.R. Aggregation bias in estimates of perceptual agreement. J. Appl. Psychol. 1982, 67, 219–229. [Google Scholar] [CrossRef]
  39. Glick, W.H. Conceptualizing and measuring organizational and psychological climate: Pitfalls of multilevel research. Acad. Manag. Rev. 1985, 10, 601–616. [Google Scholar] [CrossRef]
  40. Rice, V.; Glass, N.; Ogle, K.R.; Parsian, N. Exploring physical health perceptions, fatigue and stress among health care professionals. J. Multidiscip. Healthc. 2014, 7, 155–161. [Google Scholar] [CrossRef]
  41. Vinokur, A.D.; Pierce, P.F.; Lewandowski-Romps, L. Disentangling the relationships between job burnout and perceived health in a military sample. Stress Health 2009, 25, 355–363. [Google Scholar] [CrossRef]
  42. Chen, J.; Davis, K.G.; Daraiseh, N.M.; Pan, W.; Davis, L.S. Fatigue and recovery in 12-h dayshift hospital nurses. J. Nurs. Manag. 2014, 22, 593–603. [Google Scholar] [CrossRef]
  43. Cortina, L.M. Unseen injustice: Incivility as modern discrimination in organizations. Acad. Manag. Rev. 2008, 33, 55–75. [Google Scholar] [CrossRef]
  44. Andersson, L.M.; Pearson, C.M. Tit for tat? The spiraling effect of incivility in the workplace. Acad. Manag. Rev. 1999, 24, 452–471. [Google Scholar] [CrossRef]
  45. Pearson, C.M.; Porath, C.L. On incivility, its impact and directions for future research. In The Dark Side of Organizational Behavior; Griffin, R.W., O’Leary-Kelly, A.M., Eds.; Jossey-Bass: San Francisco, CA, USA, 2004; pp. 403–425. [Google Scholar]
  46. Pearson, C.M.; Porath, C.L. On the nature, consequences and remedies of workplace incivility no time for “Nice”? think again. Acad. Manag. Exec. 2005, 19, 7–18. [Google Scholar] [CrossRef]
  47. Pearson, C.M.; Porath, C.L. The price of incivility. Harv. Bus. Rev. 2013, 91, 114–121. [Google Scholar]
  48. Wang, M.; Liao, H.; Zhan, Y.; Shi, J. Daily customer mistreatment and employee sabotage against customers: Examining emotion and resource perspectives. Acad. Manag. J. 2011, 54, 312–334. [Google Scholar] [CrossRef]
  49. Taylor, S.G.; Bedeian, A.G.; Kluemper, D.H. Linking Workplace Incivility to Citizenship Performance: The Combined Effects of Affective Commitment and Conscientiousness. J. Organ. Behav. 2012, 33, 878–893. [Google Scholar] [CrossRef]
  50. Lin, Y.N. Measurement of frontline workers’ sense of humor in the food and beverage industry. J. Tour. Leis. Stud. 2010, 16, 139–164. [Google Scholar]
  51. Chen, S.L.; Huang, Y.J. The influence mechanisms of transformational leadership on job engagement: The role of psychological capital and service climate. NTU Manag. Rev. 2014, 25, 129–155. [Google Scholar]
  52. Crawford, E.R.; LePine, J.A.; Rich, B.L. Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta-analytic test. J. Appl. Psychol. 2010, 95, 834–848. [Google Scholar] [CrossRef]
  53. Zhong, L.F. Effects of psychological capital on employees’ job performance, organizational commitment, and organizational citizenship behavior. Acta Psychol. Sin. 2007, 39, 328–334. [Google Scholar]
  54. Hosen, R.; Solovey-Hosen, D.; Stem, L. Education and capital: Capital as durable personal, social, economic and political influences on the happiness of individuals. Education 2003, 123, 496–513. [Google Scholar]
Figure 1. Research hypothesis model.
Figure 1. Research hypothesis model.
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Figure 2. Results of research hypothesis test (*: p < 0.05.)
Figure 2. Results of research hypothesis test (*: p < 0.05.)
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Table 1. Descriptive statistics of the variables and correlation coefficients within subjects and between subjects.
Table 1. Descriptive statistics of the variables and correlation coefficients within subjects and between subjects.
VariableMeanSDCorrelation
12345678
Within Subjects
1.Workplace Incivility0.370.96
2.Emotional Exhaustion2.000.80
Between Subjects
1.Gender1.680.471
2.Age30.427.11–0.26 *1
3.Marital Status1.770.420.22 *–0.541
4.Education Level3.040.390.050.100.001
5.Length of Service5.295.01–0.160.71 *–0.35 *0.20 *1
6.Perceived Health Status3.460.69–0.250.04–0.010.030.041
7.Psychological Capital3.610.49–0.220.24 *–0.29 *0.030.23 *0.28 *1
8.Perceived Service Climate3.880.68–0.19–0.03–0.09–0.090.020.120.59 *1
Note: within subjects: n = 1790; between subjects: n = 179; M: mean; SD: standard deviation; *: p < 0.05.
Table 2. Control variables, workplace incivility, psychological capital and perceived service climate predict emotional exhaustion by HLM.
Table 2. Control variables, workplace incivility, psychological capital and perceived service climate predict emotional exhaustion by HLM.
Emotional Exhaustion
M0M1
Intercept2.000 *1.913 *
Within Subjects
Workplace Incivility (ψ1) 0.230 *
Between Subjects
Gender (γ01) 0.014
Age (γ02) –0.004
Marital Status (γ03) 0.014
Education Level (γ04) 0.101
Work Tenure(γ05) 0.007
Perceived Health Status (γ06) –0.216 *
PsyCap (γ07) –0.318 *
Perceived Service Climate (γ08) –0.118 *
Cross-level
PsyCap * Workplace Incivility (γ11) 0.024
σ20.3680.341
τ000.2710.150
τ010.3680.340
Deviance3670.593497.94
Note: within subjects: n = 1790; between subjects: n = 179; *: p < 0.05; the meanings of the remaining Greek symbols can be found in the HLM models.
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