Abstract
Objectives
The purpose of this study was to evaluate the effects of emotional labor on burnout, turnover intention, and job satisfaction.
Methods
Dental hygienists were surveyed over a period of 13 days during March, 2013. Data from the completed questionnaires (N=202) were analyzed using the t-test, one-way ANOVA, Pearson’s correlation, and hierarchical multiple regression.
Results
Higher levels of emotional labor resulted in higher levels of burnout and turnover intention, as well as lower levels of job satisfaction. The variable showing the largest mediating effect between emotional labor and burnout was emotional intelligence. Supervisor support had the largest mediating effect between emotional labor and turnover intention, as well as emotional labor and job satisfaction.
Conclusions
It is known that emotional labor has negative effects on burnout, turnover intention, and job satisfaction. To reduce the negative effects caused by emotional labor, it is necessary to foster the development of emotional intelligence and self-efficacy of employees. Employers’ efforts to improve supervisor and colleague support for the employees should be made to reduce such negative effects.
References
1. Shin HS, An ES. Measuring the efficiency of dental hospitals with measurement of the service quality. J Korean Acad Oral Health. 2012; 36:46–54.
2. An ES, Shin HS. Patient perception and satisfaction of dental services. J Korean Acad Oral Health. 2011; 35:162–170.
3. Kim IS. The role of self-efficacy and social support in the relationship between emotional labor and burn out, turn over intention among hospital nurses. J Korean Acad Nurs Adm. 2009; 15:515–526.
4. Hochschild AR. The managed heart: commercialization of human feeling. 2th ed. California: University of California Press;2003. p. 244–245.
5. An JY, Jeong HS, Kim HA. The relationship between emotional labor and job stress of clinical nurses in a hospital. Korean J Occup Health Nurs. 2007; 16:139–146.
6. Park MM, Han SJ. Relations of job satisfaction with emotional labor, job stress, and personal resources in home healthcare nurses. J Korean Acad Community Health Nurs. 2013; 24:51–61.
7. Lee JY, Chi MW. Relation among emotional labors’s job stress, role conflict, ego-resilience and job turnover. J Korea Contents Assoc. 2012; 12:191–200.
8. Kim SP, Lee DR. The effects of emotional labor and job context on service employees’ psychological well-being. KAHRM. 2008; 15:79–102.
9. Putnam LL, Mumby DK. Organizations, emotion and the myth of rationality. In: Fineman S. Emotion in organizations. 1st ed. California: Sage Publications;1993. p. 36–57.
10. Donavan DT, Brown TJ, Mowen JC. Internal benefits of service - worker customer orientation: job satisfaction, commitment, and organization citizenship behavior. J Marketing. 2004; 68:124–146.
11. Halbesleben JR. Sources of social support and burnout: a meta-analytic test of the conservation of resources model. J Appl Psychol. 2006; 91:1134–1145.
12. Korean Dental Association. Why shortage of dental hygienists despite of increase the number of dental hygiene students? Seoul: Korean Dental Association News;2010. 1819:p. 31.
13. Grandey AA. Emotion regulation in the workplace: new way to conceptualize emotional labor. J Occup Health Psychol. 2000; 5:95–110.
14. Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyses using G*power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009; 41:1149–1160.
15. Morris JA, Feldman DC. The dimensions, antecedents and consequences of emotional labor. Acad Manag Rev. 1996; 21:986–1010.
16. Wong CS, Law KS. The effects of leader and follower emotional intelligence on performance and attitude: an exploratory study. The Leadership Quarterly. 2002; 13:243–274.
17. Schwarzer R, Jerusalem M. Generalized self-efficacy scale. In: Weinman J. Wright S, Johnston M. Measures in health psychology: a user’s portfolio-causal and control beliefs. 1st ed. Berkshire: NFER-Nelson;1995. p. 35–37.
18. Price JL, Mueller CW. A causal model for turnover for nurses. Acad Manage J. 1981; 24:543–565.
19. Maslach C, Jackson SE, Leiter MP. MBI: the maslach burnout inventory: manual. 3rd ed. California: Consulting Psychologists Press;1996. p. 50–53.
20. Lee SL, Park SI. The effect of job stress, turnover of safeguard on job satisfaction. KAHPERD. 2006; 45:227–236.
21. Opeiu local 391. Michigan organizational assessment questionnaire [Internet]. [cited 2012 Nov 04]. Available from:. http://www.opeiu391.org/pdf/the-michigan-organizational-assessment-questionnaire.
22. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986; 51:1173–1182.
23. Maslach C. Burnout: the cost of caring. 1st ed. New Jersey: Pren-tice hall;1982. p. 34–35.
24. Cote S, Morgan LM. A longitudinal analysis of the association between emotional regulation, job satisfaction, and intentions to quit. J Organiz Behav. 2002; 23:947–962.
25. Vakola M, Tsaousis I, Nikolaou I. The role of emotional intelligence and personality variables on attitudes toward organizational change. J Manag Psychol. 2004; 19:88–110.
26. Zijlmans LJ, Embregts PJ, Bosman AM. Emotional intelligence, emotions, and feelings of support staff working with clients with intellectual disabilities and challenging behavior: an exploratory study. Res Dev Disabil. 2013; 34:3916–3923.
28. Korean Dental Hygienists AssociationㆍKorean Association of Dental Hygiene Professor. A study on developmental direction of dental hygiene discipline in Korea. Seoul: Korean Dental Hygienists AssociationㆍKorean Association of Dental Hygiene Profes-sor;2009. p. 13–16.
29. Jung HK, Kim SC. The relationship between self-efficacy and job satisfaction of dental technicians. J Korean Acad Oral Health. 2010; 34:553–561.
Table 1.
Table 2.
Variables | N | Burnout | Turnover intention | Job satisfaction | ||||
---|---|---|---|---|---|---|---|---|
M±SD | P-value | M±SD | P-value | M±SD | P-value | |||
Age (yrs) | ≤25 | 86 | 28.50±7.93 | 0.933 | 7.95±3.00a | 0.001 | 7.13±2.25 | 0.167 |
26-30 | 80 | 28.30±8.99 | 9.69±2.74b | 6.66±2.03 | ||||
≥31 | 36 | 27.89±7.51 | 8.75±3.46b | 7.42±2.18 | ||||
Marital status | Unmarried | 175 | 28.25±8.44 | 0.792 | 8.71±3.10 | 0.388 | 6.98±2.21 | 0.765 |
Married | 27 | 28.70±7.13 | 9.26±2.96 | 7.11±1.85 | ||||
Education status | College | 132 | 29.06±7.93 | 0.077 | 8.67±3.21 | 0.465 | 7.04±2.14 | 0.700 |
University | 70 | 26.90±8.74 | 9.00±2.82 | 6.91±2.22 | ||||
Household income (won)* | ≤1,800,000 | 77 | 30.61±8.34 | 0.072 | 8.75±2.76 | 0.002 | 6.51±2.34 | 0.882 |
≥1,810,000 | 55 | 27.89±8.61 | 10.33±2.85 | 6.56±2.06 | ||||
Working field | All work | 59 | 27.39±9.11 | 0.348 | 8.63±3.07 | 0.507 | 6.98±2.23 | 0.052 |
Surgery | 31 | 30.10±8.07 | 8.61±3.09 | 6.52±2.35 | ||||
Prosthetic | 34 | 30.38±9.06 | 9.76±3.03 | 6.24±2.03 | ||||
Orthodontic | 47 | 27.06±7.15 | 8.62±3.08 | 7.64±1.98 | ||||
Reception | 23 | 27.57±7.06 | 8.35±3.05 | 7.43±1.97 | ||||
Other | 8 | 28.88±7.70 | 8.63±3.46 | 7.13±2.10 | ||||
Career (yrs)* | <4 | 122 | 28.89±9.27 | 0.628 | 9.61±2.69 | 0.098 | 6.48±2.34 | 0.624 |
≥4 | 80 | 28.77±9.23 | 9.97±2.76 | 6.56±2.10 | ||||
Position | Staff | 152 | 29.07±8.32 | 0.023 | 8.82±3.05 | 0.787 | 6.82±2.16 | 0.040 |
Supervisor | 50 | 26.02±7.72 | 8.68±3.20 | 7.54±2.10 | ||||
Medical institution | Hospital | 51 | 28.08±8.25 | 0.816 | 8.98±3.36 | 0.596 | 6.76±2.31 | 0.380 |
Clinics | 151 | 28.39±8.29 | 8.72±2.98 | 7.07±2.11 | ||||
No. of dentists* | <5 | 92 | 26.98±8.58 | 0.036 | 9.04±3.09 | 0.271 | 7.24±1.98 | 0.143 |
≥5 | 110 | 29.43±7.85 | 8.56±3.06 | 6.79±2.29 | ||||
No. of dental hygienists* | ≤16 | 110 | 28.85±8.54 | 0.309 | 9.35±2.89 | 0.004 | 6.77±2.10 | 0.110 |
≥17 | 92 | 27.66±7.91 | 8.10±3.16 | 7.26±2.22 | ||||
No. of patients (daily)* | ≤99 | 84 | 26.64±8.54 | 0.015 | 9.24±3.19 | 0.075 | 7.21±2.13 | 0.225 |
≥100 | 118 | 29.50±7.88 | 8.46±2.96 | 6.84±2.18 | ||||
Working hours (weekly) | ≤40 | 94 | 27.15±7.18 | 0.058 | 8.66±3.26 | 0.598 | 7.36±1.95 | 0.024 |
≥41 | 108 | 29.32±9.01 | 8.89±2.91 | 6.68±2.29 | ||||
Working days (weekly) | ≤5 | 140 | 27.42±8.25 | 0.021 | 8.61±3.25 | 0.208 | 7.20±2.21 | 0.043 |
≥6 | 62 | 30.32±7.99 | 9.16±2.63 | 6.53±1.97 | ||||
Introduction of five working days | Yes | 141 | 27.45±8.10 | 0.023 | 8.53±3.23 | 0.058 | 7.20±2.21 | 0.042 |
No | 61 | 30.31±8.36 | 9.36±2.63 | 6.52±1.97 | ||||
Emotional labor* | ≤21 | 103 | 25.32±7.57 | <0.001 | 7.61±3.03 | <0.001 | 7.73±2.01 | <0.001 |
≥22 | 99 | 31.42±7.82 | 10.00±2.63 | 6.23±2.05 |
Table 3.
Variables | N | Emotional intelligence | Self efficacy | Supervisor support | Colleague support | |||||
---|---|---|---|---|---|---|---|---|---|---|
M±SD | P-value | M±SD | P-value | M±SD | P-value | M±SD | P-value | |||
Age (yrs) | ≤25 | 86 | 38.67±7.86a | 0.023 | 15.93±3.32 | 0.039† | 6.86±3.11 | 0.102 | 10.48±2.71 | 0.200 |
26-30 | 80 | 38.94±7.10a | 17.20±3.98 | 6.31±3.42 | 11.04±2.95 | |||||
≥31 | 36 | 42.72±8.64b | 17.28±2.97 | 7.78±4.03 | 10.08±2.83 | |||||
Marital status | Unmarried | 175 | 39.07±7.92 | 0.049 | 16.60±3.64 | 0.461 | 6.67±3.44 | 0.146 | 10.78±2.80 | 0.059 |
Married | 27 | 42.26±6.72 | 17.15±3.23 | 7.70±3.29 | 9.67±2.92 | |||||
Education status | College | 132 | 38.42±7.75 | 0.007 | 16.33±3.53 | 0.058 | 6.96±3.41 | 0.379 | 10.24±2.83 | 0.008 |
University | 70 | 41.53±7.62 | 17.33±3.61 | 6.51±3.47 | 11.36±2.73 | |||||
Household income (won)* | ≤1,800,000 | 77 | 37.44±7.87 | 0.185 | 15.95±3.69 | 0.044 | 6.48±2.99 | 0.474 | 10.21±3.00 | 0.363 |
≥1,810,000 | 55 | 39.25±7.39 | 17.22±3.26 | 6.04±3.79 | 10.67±2.59 | |||||
Working field | All work | 59 | 40.46±7.61 | 0.697 | 17.17±3.74 | 0.051 | 7.61±2.76 | 0.024† | 10.81±2.79 | 0.415 |
Surgery | 31 | 39.32±8.13 | 16.77±3.80 | 6.35±3.36 | 10.42±2.66 | |||||
Prosthetic | 34 | 37.56±8.19 | 14.88±3.59 | 5.56±3.42 | 10.44±3.01 | |||||
Orthodontic | 47 | 39.74±6.21 | 17.06±2.99 | 6.45±3.93 | 10.87±3.04 | |||||
Reception | 23 | 39.70±9.71 | 17.26±3.13 | 8.17±3.57 | 9.74±2.81 | |||||
Other | 8 | 39.38±10.16 | 16.25±4.52 | 6.13±2.94 | 12.00±1.41 | |||||
Career (yrs)* | <4 | 122 | 38.91±7.74 | 0.187 | 16.21±3.55 | 0.024 | 6.64±3.29 | 0.393 | 10.91±2.84 | 0.083 |
≥4 | 80 | 40.40±7.93 | 17.38±3.53 | 7.06±3.65 | 10.20±2.79 | |||||
Position | Staff | 152 | 38.70±7.48 | 0.011 | 16.34±3.61 | 0.022 | 6.34±3.24 | 0.001 | 10.59±2.75 | 0.750 |
Supervisor | 50 | 41.94±8.42 | 17.68±3.34 | 8.24±3.62 | 10.74±3.11 | |||||
Medical institution | Hospital | 51 | 39.49±7.59 | 0.992 | 16.25±3.71 | 0.336 | 5.53±3.10 | 0.002 | 10.73±2.64 | 0.779 |
Clinics | 151 | 39.50±7.93 | 16.81±3.54 | 7.24±3.44 | 10.60±2.91 | |||||
No. of dentists* | <5 | 92 | 39.93±7.70 | 0.472 | 16.84±3.67 | 0.554 | 7.20±3.61 | 0.142 | 10.55±2.94 | 0.735 |
≥5 | 110 | 39.14±7.95 | 16.54±3.52 | 6.48±3.26 | 10.69±2.76 | |||||
No. of dental hygienists* | ≤16 | 110 | 39.35±8.06 | 0.774 | 16.66±3.81 | 0.967 | 6.82±3.41 | 0.960 | 10.35±2.86 | 0.122 |
≥17 | 92 | 39.67±7.58 | 16.68±3.31 | 6.79±3.47 | 10.97±2.79 | |||||
No. of patients (daily)* | ≤99 | 84 | 40.46±8.26 | 0.140 | 16.39±4.06 | 0.350 | 6.96±3.63 | 0.584 | 10.89±2.79 | 0.266 |
≥100 | 118 | 38.81±7.46 | 16.87±3.20 | 6.69±3.29 | 10.44±2.87 | |||||
Working hours (weekly) | ≤40 | 94 | 40.79±7.15 | 0.029 | 16.90±3.55 | 0.394 | 6.84±3.60 | 0.898 | 10.71±2.81 | 0.696 |
≥41 | 108 | 38.38±8.24 | 16.47±3.61 | 6.78±3.30 | 10.56±2.87 | |||||
Working days (weekly) | ≤5 | 140 | 40.26±7.38 | 0.039 | 16.85±3.38 | 0.294 | 6.70±3.45 | 0.508 | 10.94±2.80 | 0.018 |
≥6 | 62 | 37.79±8.57 | 16.27±4.01 | 7.05±3.41 | 9.92±2.81 | |||||
Introduction of five working days | Yes | 141 | 40.24±7.58 | 0.041 | 16.79±3.41 | 0.467 | 6.61±3.46 | 0.216 | 10.99±2.78 | 0.006 |
No | 61 | 37.79±8.18 | 16.39±3.96 | 7.26±3.34 | 9.80±2.82 | |||||
Emotional labor* | ≤21 | 103 | 41.06±7.49 | 0.004 | 17.26±3.26 | 0.017 | 7.67±3.14 | <0.001 | 10.83±2.50 | 0.320 |
≥22 | 99 | 37.88±7.88 | 16.06±3.81 | 5.91±3.51 | 10.42±3.15 |
Table 4.
Step | Variables | β | t | P-value | |
---|---|---|---|---|---|
2nd | Mediating variable | Emotional intelligence | ―0.268 | ―3.990 | <0.001 |
Self efficacy | ―0.153 | ―2.276 | 0.024 | ||
Supervisor support | ―0.285 | ―4.769 | <0.001 | ||
F=32.547 (<0.001) R2=0.398 adj.R2=0.386 | |||||
3rd | Independent variable | Position | ―0.147 | ―2.361 | 0.019 |
No. of dentists | 0.084 | 0.874 | 0.383 | ||
No. of patients (daily) | 0.184 | 2.070 | 0.040 | ||
Working days (weekly) | 0.020 | 0.234 | 0.815 | ||
Introduction of five working days+ | 0.188 | 1.869 | 0.063 | ||
Emotional labor | 0.462 | 7.280 | <0.001 | ||
F=12.467 (<0.001) R2=0.277 adj.R2=0.255 | |||||
4th | Independent variable | Position | ―0.035 | ―0.636 | 0.525 |
No. of dentists | 0.079 | 0.956 | 0.341 | ||
No. of patients (daily) | 0.179 | 2.323 | 0.021 | ||
Working days (weekly) | ―0.039 | ―0.523 | 0.602 | ||
Introduction of five working days† | 0.218 | 2.527 | 0.012 | ||
Emotional labor | 0.320 | 5.649 | <0.001 | ||
Mediating variable | Emotional intelligence | ―0.238 | ―3.739 | <0.001 | |
Self efficacy | ―0.184 | ―2.891 | 0.004 | ||
Supervisor support | ―0.224 | ―3.800 | <0.001 | ||
F=20.342 (<0.001) R2=0.488 adj.R2=0.464 |
Table 5.
Table 6.
Step | Variables | β | t | P-value | |
---|---|---|---|---|---|
2nd | Mediating variable | Emotional intelligence | 0.184 | 2.579 | 0.011 |
Supervisor support | 0.373 | 5.864 | <0.001 | ||
F=23.036 (<0.001) R2=0.319 adj.R2=0.305 | |||||
3rd | Independent variable | Position | 0.125 | 1.890 | 0.060 |
Working hours (weekly) | ―0.092 | ―1.346 | 0.180 | ||
Working days (weekly) | ―0.036 | ―0.400 | 0.689 | ||
Introduction of five working days† | ―0.040 | ―0.444 | 0.657 | ||
Emotional labor | ―0.346 | ―5.199 | <0.001 | ||
F=8.265 (<0.001) R2=0.174 adj.R2=0.153 | |||||
4th | Independent variable | Position | 0.019 | 0.315 | 0.753 |
Working hours (weekly) | ―0.081 | ―1.328 | 0.186 | ||
Working days (weekly) | 0.014 | 0.171 | 0.864 | ||
Introduction of five working days† | ―0.098 | ―1.205 | 0.230 | ||
Emotional labor | ―0.210 | ―3.373 | 0.001 | ||
Mediating variable | Emotional intelligence | 0.195 | 3.075 | 0.002 | |
Supervisor support | 0.357 | 5.504 | <0.001 | ||
F=14.946 (<0.001) R2=0.350 adj.R2=0.327 |