Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-17T21:19:59.753Z Has data issue: false hasContentIssue false

Turnover as decisions: How judgment and decision-making (JDM) research can inform turnover modeling

Published online by Cambridge University Press:  13 November 2019

Don C. Zhang*
Affiliation:
Louisiana State University
*
*Corresponding author. Email: zhang1@lsu.edu

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Copyright
© Society for Industrial and Organizational Psychology 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Connolly, T., & Zeelenberg, M. (2002). Regret in decision making. Current Directions in Psychological Science, 11(6), 212216.CrossRefGoogle Scholar
Gilovich, T., & Medvec, V. H. (1995). The experience of regret: What, when, and why. Psychological Review, 102(2), 379395.CrossRefGoogle Scholar
Grandey, A. A. (2008). Emotions at work: A review and research agenda. In Cooper, C. L. & Barling, J. (Eds.), The Sage handbook of organizational behavior, Volume 1, Micro approaches (pp. 235–261). Newbury Park, CA: Sage.Google Scholar
Highhouse, S., Dalal, R. S., & Salas, E. (Eds.). (2013). Judgment and decision making at work. New York, NY: Routledge.CrossRefGoogle Scholar
Holtom, B. C., Mitchell, T. R., Lee, T. W., & Inderrieden, E. J. (2005). Shocks as causes of turnover: What they are and how organizations can manage them. Human Resource Management, 44(3), 337352.CrossRefGoogle Scholar
Kahneman, D., & Tversky, A. (1982). On the study of statistical intuitions. Cognition, 11(2), 123141.CrossRefGoogle Scholar
Lee, H., & Sturm, R. E. (2017). A sequential choice perspective of postdecision regret and counterfactual thinking in voluntary turnover decisions. Journal of Vocational Behavior, 99, 1123. doi:10.1016/j.jvb.2016.12.003CrossRefGoogle Scholar
Lee, T. W., Mitchell, T. R., Holtom, B. C., McDaneil, L. S., & Hill, J. W. (1999). The unfolding model of voluntary turnover: A replication and extension. Academy of Management Journal, 42(4), 450462.Google Scholar
Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition & Emotion, 14(4), 473493. doi:10.1080/026999300402763CrossRefGoogle Scholar
Luce, R. (1995). Four tensions concerning mathematical modeling in psychology. Annual Review of Psychology, 46, 126.CrossRefGoogle Scholar
March, J. G., & Simon, H. A. (1993). Organizations. New York, NY: Wiley.Google Scholar
Pleskac, T. J., Keeney, J., Merritt, S. M., Schmitt, N., & Oswald, F. L. (2011). A detection model of college withdrawal. Organizational Behavior and Human Decision Processes, 115(1), 8598.CrossRefGoogle Scholar
Slaughter, J. E., Sinar, E. F., & Highhouse, S. (1999). Decoy effects and attribute-level inferences. Journal of Applied Psychology, 84(5), 823828.CrossRefGoogle Scholar
Speer, A. B., Dutta, S., Chen, M., & Trussell, G. (2019). Here to stay or go? Connecting turnover research to applied attrition modeling. Industrial and Organizational Psychology: Perspectives on Science and Practice, 12(3), XXXXXX.Google Scholar
Vancouver, J. B., & Weinhardt, J. M. (2012). Modeling the mind and the milieu: Computational modeling for micro-level organizational researchers. Organizational Research Methods, 15(4), 602623. doi:10.1177/1094428112449655CrossRefGoogle Scholar