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The role of work psychologists in the development of antiwork sentiments

Published online by Cambridge University Press:  07 March 2024

Goran Kuljanin Open the ORCID record for Goran Kuljanin [Opens in a new window]  and
Grace Lemmon Open the ORCID record for Grace Lemmon [Opens in a new window]
Goran Kuljanin*
Affiliation:
Department of Management and Entrepreneurship, DePaul University, Chicago, IL, USA
Grace Lemmon
Affiliation:
Department of Management and Entrepreneurship, DePaul University, Chicago, IL, USA
*
Corresponding author: Goran Kuljanin; Email: [email protected]
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Abstract

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Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 17 , Issue 1 , March 2024 , pp. 45 - 49
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Industrial and Organizational Psychology

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References

Alliger, G. M., & McEachern, P. J. (2024). Antiwork offers many opportunities for I-O psychologists. Industrial and Organizational Psychology, 17(1), 1–30.Google Scholar
Braun, M. T., Kuljanin, G., Grand, J. A., Kozlowski, S. W. J., & Chao, G. T. (2022). The power of process theories to better understand and detect consequences of organizational interventions. Industrial and Organizational Psychology, 15(1), 99–104. https://doi.org/10.1017/iop.2021.125.CrossRefGoogle Scholar
Butts, C. T., Lomi, A., Snijders, T. A. B., & Stadtfeld, C. (2023). Relational event models in network science. Network Science, 11 (2), 175–183. https://doi.org/10.1017/nws.2023.9.CrossRefGoogle Scholar
Kozlowski, S. W. J., Chao, G. T., Grand, J. A., Braun, M. T., & Kuljanin, G. (2016). Capturing the multilevel dynamics of emergence: Computational modeling, simulation, and virtual experimentation. Organizational Psychology Review, 6(1), 3–33. https://doi.org/10.1177/2041386614547955.CrossRefGoogle Scholar
Macy, M. W., & Willer, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28(1), 143–166. https://doi.org/10.1146/annurev.soc.28.110601.141117.Google Scholar
Mohr, L. B. (1982). Explaining organizational behavior: The limits and possibilities of theory and research. Proquest Info & Learning.Google Scholar
Pentland, B. T. (1999). Building process theory with narrative: From description to explanation. Academy of Management Review, 24(4), 711–724.Google Scholar
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.Google Scholar
Schneider, B. (1987). The people make the place. Personnel Psychology, 40(3), 437–453. https://doi.org/10.1111/j.1744-6570.1987.tb00609.x.Google Scholar
Thiel, C., Bonner, J. M., Bush, J., Welsh, D., & Garud, N. (2022). Monitoring employees makes them more likely to break rules. Harvard Business Review. https://hbr.org/2022/06/monitoring-employees-makes-them-more-likely-to-break-rules Google Scholar