Identifying Patterns of Compassion at Work in Relation to Work-related Outcomes: A Latent Profile Analysis
DOI:
https://doi.org/10.6981/FEM.202412_5(12).0012Keywords:
Compassion at Work; Employee Well-Being; Turnover Intentions; Latent Profile Analysis.Abstract
Suffering is pervasive in workplaces, and compassion is a necessary process in response to employees’ suffering. To date, researchers have considered the definition of compassion at work and how compassion benefits sufferers. However, this variable-centered perspective ignores the possibility that there may exist subpopulations of employees who vary in combined perceptions of compassion at work. To address this issue, we examined compassion at work from a person-centered perspective using a sample of 636 employees in China's mainland. Using latent profile analysis, we identified four types of compassion at work profiles: high-compassion, low-compassion, high-lack of compassion, low-lack of compassion. We also found that these profiles differentially predicted several employee outcomes (employee well-being, emotional exhaustion, work engagement, and turnover intentions). Our results bring new insights into the nature of this construct and show how different employees may have distinct combinations concerning the perception of compassion at work and how these profiles associate with employee outcomes distinctively.
Downloads
References
[1] Kanov, J. M., Maitlis, S., Worline, M. C., Dutton, J. E., Frost, P. J., & Lilius, J. M. (2004). Compassion in organizational life. American Behavioral Scientist, 47(6), 808-827.
[2] Dutton, J. E., Workman, K. M., & Hardin, A. E. (2014). Compassion at work. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 277-304.
[3] Frost, P. J., Dutton, J. E., Worline, M. C., & Wilson, A. (2000). Narratives of compassion in organizations. Emotion in organizations, 2, 25-45.
[4] Kahn, W. A. (1993). Caring for the Caregivers: Patterns of Organizational Caregiving. Administrative Science Quarterly, 38(4), 539-563.
[5] Dutton, J. E., Frost, P. J., Worline, M. C., Lilius, J. M., & Kanov, J. M. (2002). Leading in times of trauma. Harvard Business Review, 80(1), 54-61.
[6] Lilius, J. M., Worline, M. C., Maitlis, S., Kanov, J., Dutton, J. E., & Frost, P. (2008). The contours and consequences of compassion at work. Journal of Organizational Behavior, 29(2), 193-218.
[7] Hazen, M. A. (2008). Grief and the Workplace. Academy of Management Perspectives, 22(3), 78-86.
[8] Powley, E. H. (2009). Reclaiming resilience and safety: Resilience activation in the critical period of crisis. Human Relations, 62(9), 1289-1326.
[9] Eldor, L. (2018). Public Service Sector: The compassionate workplace-the effect of compassion and stress on Employee Engagement, Burnout, and Performance. Journal of Public Administration Research and Theory, 28(1), 86-103.
[10] Neville, K., & Cole, D. A. (2013). The relationships among health promotion behaviors, compassion fatigue, burnout, and compassion satisfaction in nurses practicing in a community medical center. Journal of Nursing Administration, 43(6), 348-354.
[11] Lilius, J. M., Kanov, J., Dutton, J. E., Worline, M. C., & Maitlis, S. (2012). Compassion revealed: What we know about compassion at work (and where we need to know more). The Oxford Handbook of Positive Organizational Scholarship. Oxford: Oxford University Press.
[12] Condon, P., & DeSteno, D. (2011). Compassion for one reduces punishment for another. Journal of Experimental Social Psychology, 47(3), 698-701.
[13] Goetz, J. L., Keltner, D., & Simon-Thomas, E. (2010). Compassion: An evolutionary analysis and empirical Review. Psychological Bulletin, 136(3), 351-374.
[14] Li, C., Yu, X., & Zhong, L. (2014). Compassion in organization: conceptualization, antecedents, and consequences. Advances in Psychological Science, 22(5), 822-833.
[15] Gabriel, A. S., Daniels, M. A., Diefendorff, J. M., & Greguras, G. J. (2015). Emotional labor actors: A latent profile analysis of emotional labor strategies. Journal of Applied Psychology, 100(3), 863-879.
[16] Spurk, D., Hirschi, A., Wang, M., Valero, D., & Kauffeld, S. (2020). Latent profile analysis: A review and “How to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120.
[17] Magidson, J., & Vermunt, J. K. (2001). Latent class factor and cluster models, bi-plots, and related graphical displays. Sociological Methodology. 31(31), 223-264.
[18] Xu, M. Y. (2021). Compassion at Work: Scale Development and Validity Verification (Unpublished master’s thesis). East China Normal University, Shanghai.
[19] Zheng, X. M., Zhu, W. C, Zhao, H. X., & Zhang, C.(2015). Employee well-being in organizations: Theoretical model, scale development, and cross-cultural validation. Journal of Organizational Behavior, 36, 621–644.
[20] Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness studies, 3(1), 71–92.
[21] Schaufeli, W. B., Leiter, M., Maslach, C., & Jackson, S. (1996). The Maslach Burnout Inventory General Survey. Maslach Burnout Inventory Manual (3rd ed., pp. 19–26). Palo Alto, CA: Consulting Psychologists Press.
[22] Li, C.P., Li, X.X., Shi, K., Chen, X. F. (2006). Psychological empowerment: Measurement and its effect on employee work attitude in Chin. Acta Psychologica Sinica, 38(1), 99–106.
[23] Hipp, J. R., & Bauer, D. J. (2006). Local solutions in the estimation of growth mixture models. Psychological Methods, 11, 36–53.
[24] Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14, 535–569.
[25] Tofighi, D., & Enders, C. K. (2008). Identifying the correct number of classes in growth mixture models. In G. R. Hancock, & K. M. Samuelsen (Eds.). Advances in latent variable mixture models (pp. 317–341). Charlotte, NC: Information Age Publishing.
[26] Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88, 767–778.
[27] Yin, K., Peng, J., Zhang, J. (2020). The application of latent profile analysis in organizational behavior research. Advances in Psychological Science, 28(07),
[28] Bakk, Z., & Vermunt, J. K. (2016). Robustness of stepwise latent class modeling with continuous distal outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 23, 20–31.
[29] Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18(4), 450-469.
[30] Frost, P. J. (1999). Why compassion counts! Journal of Management Inquiry, 8(2), 127-133.
[31] Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Hoboken, NJ: John Wiley & Sons.
[32] Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Frontiers in Economics and Management

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



