DOI QR코드

DOI QR Code

A structural equation model of organizational commitment by hospital nurses: The moderating effect of each generation through multi-group analysis

병원간호사의 조직몰입 구조모형: 다중집단분석을 통한 세대별 조절 효과

  • Received : 2022.03.16
  • Accepted : 2022.05.12
  • Published : 2022.08.31

Abstract

Purpose: The purpose of this study was to construct a structural equation model of organizational commitment in hospital nurses based on a job demands-resources model and to confirm the moderating effect(s) according to the nurses' generation. Methods: The model was constructed of the exogenous variables of social support, emotional intelligence, emotional labor, and job conflict and the endogenous variables of burnout, job engagement, and organizational commitment. The participants were 560 hospital nurses working in 3 general hospitals. Data were collected from August 1 to September 30, 2021, and analyzed using SPSS Window 23.0 and IBM AMOS 23.0. Results: The strongest factor directly influencing hospital nurses' organizational commitment was social support. In a multiple group analysis, nurses' generation had a partial moderating effect. In a generation-specific analysis, the Z generation group was higher than the X and Y generation groups in the variables of emotional labor and burnout related to organizational commitment. Conclusion: Based on the findings of this study, to improve hospital nurses' organizational commitment, social support is needed as an important management strategy. At the organizational level, we need to develop ways to improve organizational commitment by reducing the emotional labor and burnout of Generation Z.

Keywords

References

  1. Brunetto Y, Farr-wharton R, Shacklock K. Communication, training, well-being, and commitment across nurse generations. Nursing Outlook. 2012;60(1):7-15. https://doi.org/10.1016/j.outlook.2011.04.004
  2. Jo EH, Lee SJ, Kim YJ. The lived-experience in communication of nurses. The Journal of Korean Nursing Research. 2019;3(1):13-25. https://doi.org/10.34089/jknr.2019.3.1.13
  3. Bakker AB, Demerouti E. Multiple levels in job demands-resources theory: Implications for employee well-being and performance. In: Diener E, Oishi S, Tay L, editors. Handbook of well-being. Salt Lake City, UT: Nova scholor; 2018. p. 1-13.
  4. Oh SS. The relationship between the intergenerational differences and organizational commitment : Focused on the moderating effect of external reward. Quarterly Journal of Labor Policy. 2019;19(3):163-190. http://doi.org/10.22914/jlp.2019.19.3.006
  5. Orgambidez A, Almeida, H. Predictors of organizational commitment in nursing: Results from Portugal. Western Journal of Nursing Research. 2018;36(1):e14. https://doi.org/10.17533/udea.iee.v36n1e14
  6. Kim KH. The influence of emotional intelligence, job stress and social support on resilience in general hospital nurses [master's thesis]. Busan: Kosin University; 2021. p.1-75.
  7. Hong SS, Kwon MS. Affecting factors of hospital nurses' emotional labor and social support on organizational commitment. Korean Journal of Occupational Health Nursing. 2015;24(4):259-269. https://doi.org/10.5807/kjohn.2015.24.4.259
  8. Kim HY. The effect of relationship conflict on job engagement and organizational commitment in hotel employees: The moderating of ego resilience. Journal of Tourism Management Research. 2019;23(4):285-307. http://doi.org/10.18604/tmro.2019.23.4.14
  9. Lee ST, Jo HI. Effects of task and relationship conflicts on job burnout of engineers in plant engineering design work: Moderating effect of achievement motivation. The Korean Journal of Industrial and Organizational Psychology. 2016;29(2):233-255. http://doi.org/10.24230/ksiop.29.2.201605.233
  10. Wang X, Liu T, Chen Y. (2017). Influence of emotional labor on organizational commitment in government logistics personnel: The mediating effect of job burnout and the moderating effect of perceived organizational support. Proceedings of the 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (HealthCom); 2017 Oct 12-15; Dalian, China: IEEE; 2017. p. 1-6. http://doi.org/10.1109/HealthCom.2017.8210778
  11. Park JH. Theoretical and methodological issues in the study of generations. Korea Journal of Population Studies. 2001;24(2):47-78.
  12. Back JY, Hyun DS, Chang SJ. Association between emotional labor, emotional dissonance, burnout and turnover intention in clinical nurses: A multiple-group path analysis across job satisfaction. Journal of Korean Academy of Nursing. 2017;47(6):770-780. https://doi.org/10.4040/jkan.2017.47.6.770
  13. Chang CS, Chang HC. Perceptions of internal marketing and organizational commitment by nurses. Journal of Advanced Nursing. 2009;65(1):92-100. https://doi.org/10.1111/j.1365-2648.2008.04844.x
  14. Choi HJ, Lee EJ. Mediation effect of job satisfaction between internal marketing and organizational commitment of nurses in small and medium-sized hospitals. Journal of Korean Academy of Nursing Administration. 2012;18(3):329-337. https://doi.org/10.11111/jkana.2012.18.3.329
  15. Caplan RD, Cobb S, French JRP, Van Harrison R, Pinneau SR. Job demand and worker health: Main effects and occupational differences. Washington DC: U.S. Department of Health, Education, and Welfare, Public Health Service, Center for Disease Control, National Institute for Occupational Safety and Health; 1975. p. 1-342.
  16. Jun MH. Role transition, resilience and intention to leave in new nurses working at secondary general university hospitals [master's thesis]. Pocheon: Cha University; 2018. p. 1-53.
  17. Wong CS, Law KS. The effects of leader and follower emotional intelligence on performance and attitude: An Exploratory Study. The Leadership Quarterly. 2002;13(3):243-274. https://doi.org/10.1016/S1048-9843(02)00099-1
  18. Morris JA, Feldman OC. The dimensions, antecedents and consequences of emotional labor. Academy of Management Review. 1996;21(4):986-1010. https://doi.org/10.5465/amr.1996.9704071861
  19. Kim MJ. Effects of the hotel employee's emotional labor upon the job-related Attitudes. Journal of Tourism Sciences. 1998;21(2):129-141.
  20. Jehn KA. A multi method examination of the benefits and detriments of intragroup conflict. Administrative Science Quarterly. 1995;40(2):256-282. https://doi.org/10.2307/2393638
  21. Kim EJ, Yoon DY, Hong KP. The effects of job conflict on employee burnout in a public agency: The moderating effect of psychological capital. The Korean Leadership Quarterly. 2019;11(1):113-140. https://doi.org/10.22243/tklq.2019.11.1.113
  22. Maslach C, Jackson SE, Leiter MP. Maslach burnout inventory manual. 3rd ed. Palo Alto, CA: Consulting Psychologists Press; 1997. p. 191-218.
  23. Sin GH. The maslach burnout inventory-general survey (MBI-GS): An application in South Korea. Korean Journal of Industrial and Oranizational Psychological. 2003;16(3):1-7.
  24. Schaufeli WB, Bakker AB. Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 2004;25(3):293-315. http://doi.org/10.1002/job.248
  25. Kim WH, Park JK, Kwon BR. Work engagement in South Korea: Validation of the Korean version 9-item utrecht work engagement scale. Psycological Reports. 2017;120(3):561-578. https://doi.org/10.1177/0033294117697085
  26. Jennifer C, Teresa S. Connecting with generation z: Approaches in nursing education. Teaching and Learning in Nursing. 2018;13(3):180-184. https://doi.org/10.1016/j.teln.2018.03.008
  27. Park HS. A study on the characteristics of new generation with life style - Focus on generation Z. The Journal of Humanities and Social Science. 2016;7(6):753-767. https://doi.org/10.22143/HSS21.7.6.44
  28. Shin KM, Kwon JO, Kim EY. Factors associated with new graduate nurses' reality shock. Journal of Korean Academy of Nursing Administration. 2014;20(3):292-301. https://doi.org/10.11111/jkana.2014.20.3.292
  29. Kwon HS, Ha YM. Effects of positive psychological capital, social support and head nurses' authentic leadership on organizational commitment of nurses at the advanced beginner stage. Journal of Korean Academy of Nursing Administration. 2020;26(3):284-293. http://doi.org/10.11111/jkana.2020.26.3.284
  30. Choi EO, You YY, Park IC, Park HS. Analysis of emotional intelligence affected by medical institution members on job satisfaction and self-efficacy. Journal of the Korea Convergence Society. 2021;12(8):197-205. https://doi.org/10.15207/JKCS.2021.12.8.197