Pathways to Low Turnover Intention Among Social Work Supervisors in China: A Configurational Perspective

Authors

  • Junhui Wang

DOI:

https://doi.org/10.54691/9gy6pr74

Keywords:

Social Work Supervisors; Turnover Intention; Qualitative Comparative Analysis (QCA); Configurational Perspective; Pathway Analysis.

Abstract

Recent years have witnessed escalating turnover intention among Chinese social workers, posing systemic challenges to workforce stability in the sector. Intriguingly, social work supervisors demonstrate comparatively low turnover intention despite this trend, necessitating an investigation into its causal mechanisms. Leveraging the "individual-organization-family triad model" and data from the 2019 China Social Work Longitudinal Survey (CSWLS), this study applies fuzzy-set Qualitative Comparative Analysis (fsQCA) to decode how configurations across personal, organizational, and familial dimensions jointly shape supervisors’ low turnover intention. Findings reveal three key insights: (1) Low turnover intention emerges only through synergistic interactions of cross-level conditions, no single factor suffices as a necessary cause. (2) The driving pathways for low turnover intention among social work supervisors can be categorized into two primary categories: individual-organization-driven pathways and organization-family-driven pathways. (3) Family support serves as a critical buffer, mitigating the negative effects of external stressors on sustaining low turnover intention. The findings of this study not only delineate the configurational conditions underlying low turnover intention among social work supervisors but also reveal pathways of protective factor combinations that enhance workforce stability in the social work profession. These insights provide an empirical foundation for addressing the talent retention crisis in the sector and advancing the quality of professional services.

Downloads

Download data is not yet available.

References

[1] Information on https://www.mca.gov.cn/n156/n2679/c1662004999979995221/attr/306352.pdf.

[2] R. Hu, B.L. Shi. The Impact of Work Support on Social Workers' Turnover Intention: An Empirical Analysis Based on the "China Social Work Dynamic Survey" (CSWLS2019), Journal of East China University of Science and Technology (Social Science Edition), Vol. 37(2022), No.3, p.1-13.

[3] Z.W. Sun, H.Y. Zhou. Working Conditions, Family Support and Career Development: Multivariate Analysis of Chinese Social Workers' Turnover Intention, Social Work and Management, Vol. 19(2019), No.4, p.29-36.

[4] J. Lei, G.C. Luo, P.F. Duan, T. Cai. Analysis of Government-purchased Family Comprehensive Services in Guangzhou, Social Sciences Academic Press, 2015.

[5] Information on http://trade.swchina.org/trends/2016/0202/25176_3.shtml.

[6] Q.L. An. Influencing Factors of Social Workers' Professional Identity, Journal of East China University of Science and Technology (Social Science Edition), Vol. 25(2010), No.2, p.39-47.

[7] W.H. Mobley. Intermediate Linkages in the Relationship Between Job Satisfaction and Employee Turnover, Journal of Applied Psychology, Vol.62(1977), No.2, p.237-240.

[8] R.P. Tett, J.P. Meyer. Job Satisfaction, Organizational Commitment, Turnover Intention and Turnover: Path Analyses Based on Meta-analytic Findings, Personnel Psychology, Vol.46 (1993), No.2, p.259-293.

[9] W.H. Mobley, R.W. Griffeth, H.H. Hand, et al. Review and Conceptual Analysis of the Employee Turnover Process, Psychological Bulletin, Vol.86(1979), No.3, p.493-522.

[10] J.L. Price. Reflections on the Determinants of Voluntary Turnover, International Journal of Manpower, Vol.22(2001), No.7, p.600-624.

[11] Q. Xu. Exploring Causal Complexity in Mate Selection Preferences: A Reanalysis of Survey Experiment Data Using QCA, Sociological Studies, Vol.39(2024), No.3, p.136-157+229.

[12] D.T. Yang, L.K. Song, J.R. Wei. Empirical Study on Influencing Factors of Chinese Employees' Turnover Intention, Henan Social Sciences, (2007), No.4, p.38-41+171.

[13] X. Cui. Study on the Influence of Employees' Personal Characteristics on Organizational Commitment and Turnover Intention, Nankai Business Review, (2003), No.4, p.4-11.

[14] R.S. Ye, Y.Q. Wang, Z.Y. Lin. Empirical Study on the Impact of Job Satisfaction and Organizational Commitment on SOE Employees' Turnover, Management World, (2005), No.3, p.122-125.

[15] X.H. Yu, X.O. Kong, M.X. Qian, et al. Relationship Between Professional Identity and Turnover Intention of Nurses in Jilin Provincial Public Hospitals, Medicine and Society, Vol.37(2024), No.3, p.114-120.

[16] L.D. Wu, L. Dou, Q. Sun, et al. Impact Analysis of Workplace Social Capital on Turnover Intention of Medical Staff in Public Hospitals, Chinese Hospital Management, Vol.41(2021), No.7, p.81-84.

[17] Y. Fan. Empirical Investigation on Turnover Intention of Rural Young Teachers, Teacher Education Research, Vol.35(2023), No.5, p.67-74+28.

[18] H.Y. Jiang, Y.A. Wang. The Role of Recognition: An Empirical Study Based on Social Workers' Turnover Intention (In Chinese), Jiangsu Social Sciences, (2016), No.4, p.149-158.

[19] J. Liu, D.H. Gu. "Constraint-Internalization" vs. Reflective Practical Cognition: Research on the Relationship Between Social Work Ethical Codes and Retention Intention, Sociological Studies, Vol.37(2022), No.2, p.183-201+230.

[20] S.C. Zeng, X. Li, X.S. He, et al. Research on Turnover Intention and Influencing Factors of Chinese Social Workers, Journal of Chongqing Technology and Business University (Social Science Edition), Vol.36(2019), No.4, p.1-10.

[21] X.P. Zhao, L. Liu, C.Z. Zhang. Multivariate Analysis of Influencing Factors on Employees' Turnover Intention, China Soft Science, (2003), No.3, p.71-74.

[22] Y. Fang. Analysis of the Status, Causes and Countermeasures of Young Social Workers' Mobility: Taking Guangdong as an Example, Youth Exploration, (2015), No.2, p.31-38.

[23] H.H. Gao, Y.L. Lin. Research on Social Workers' Turnover Intention from the Perspective of Emotional Labor: Based on CSWLS Data Analysis, Social Work and Management, Vol.24(2024), No.3, p.29-39.

[24] L. Yang, S.J. Wen, Z.Y. Dong. Staff Turnover and Coping Strategies of Full-time Social Workers in Beijing Community Youth Centers, Journal of Chinese Youth Social Science, Vol.40(2021), No.5, p.43-51.

[25] Y.L. Xiong. The Impact of Frontline Social Workers' Emotional Competence on Turnover Intention from the Perspective of Emotional Labor: An Empirical Analysis Based on CSWLS 2019, Journal of Zhejiang Shuren University, Vol.24(2024), No.2, p.55-64.

[26] Y.A. Liu, F. Wang. Research on Factors Affecting Employees' Turnover Intention, Enterprise Economy, (2006), No.6, p.42-44.

[27] H.B. Qin, Y.K. Li. Research on the Inducement Mechanism of High Turnover Intention Among Social Workers: A Configuration Analysis Based on CSWLS 2019 (In Chinese), Social Work and Management, vol.23(2023), no.4, p.34-43.

[28] L. Liu, X.S. He. Professional Returns and Social Workers' Retention Intention (In Chinese), Youth Studies, vol.1(2023), p.13-22,94.

[29] C.X. Jia, J.C. Li. Work-Family Conflict, Burnout, and Turnover Intention Among Chinese Social Workers: The Moderating Role of Work Support, Journal of Social Service Research, Vol.48(2022), No.1, p.12-27.

[30] D.W. Xu. Research on Social Workers' Professional Identity and Turnover Intention: Based on a Survey of Social Workers in Shenzhen, Journal of Humanities, (2017), No.6, p.111-118.

[31] E. Wang, W. Jiang, S. Mao. Job Autonomy and Turnover Intention Among Social Workers in China: Roles of Work-to-family Enrichment, Job Satisfaction and Type of Sector, Journal of Social Service Research, Vol.46(2020), No.6, p.862-876.

[32] W.H. Xie. "Key Person Effect" in Social Networks: A Study on Influencing Factors of Social Workers' Turnover Intention, Journal of East China University of Science and Technology (Social Science Edition), Vol.37(2022), No.4, p.62-75+131.

[33] H.P. Sun, J. Liu. Research on Influencing Factors of Professional Social Workers' Retention: Based on a Qualitative Comparative Analysis (QCA), Social Work, (2017), No.4, p.77-85+111.

[34] S. Wang. The Impact and Mechanism of Emotional Labor on Social Workers' Job Burnout, Journal of East China University of Science and Technology (Social Science Edition), Vol.36(2021), No.4, p.66-77+90.

[35] C.C. Ragin. The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies, University of California Press, 2014.

[36] C. Zhang, X.J. Zheng, F.B. Wang. Application of Qualitative Comparative Analysis in Management Configuration Research: Review and Prospect, Foreign Economics & Management, Vol.39(2017), No.4, p.68-83.

[37] Y.Z. Du, L.D. Jia. Configuration Perspective and Qualitative Comparative Analysis (QCA): A New Path for Management Research (In Chinese), Management World, (2017), No.6, p.155-167.

[38] C. Liu, Y.Q. Yuan, Z.W. Sun, et al. China Social Work Dynamic Survey (CSWLS2019): Design, Implementation and Sample Description, Journal of East China University of Science and Technology (Social Science Edition), Vol.35(2020), No.1, p.1-32.

[39] H.B. Tan, Z.T. Fan, Y.Z. Du. Technological Management Capability, Attention Allocation and Local Government Website Construction: A Configuration Analysis Based on TOE Framework, Management World, Vol.35(2019), No.9, p.81-94.

[40] C.C. Ragin, P.C. Fiss. Redesigning Social Inquiry: Fuzzy Sets and Beyond, University of Chicago Press, 2008.

[41] P.C. Fiss. Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research, Academy of Management Journal, Vol.54(2011), No.2, p.393-420.

Downloads

Published

18-04-2025

Issue

Section

Articles

How to Cite

Wang, J. (2025). Pathways to Low Turnover Intention Among Social Work Supervisors in China: A Configurational Perspective. Frontiers in Humanities and Social Sciences, 5(4), 129-140. https://doi.org/10.54691/9gy6pr74