Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2020 | 23 | 3 | 227-245

Article title

Work Motivation Profiles and Work Performance in a Group of Corporate Employees: A Two-Step Cluster Analysis

Content

Title variants

Languages of publication

EN

Abstracts

EN
Few studies have applied a person-centered approach to work motivation using cluster or profile analyses. Thus, little is known about which configurations of work motivations characterize professionals. The aim of this study is to establish the structure of work motivation profiles under the framework of self-determination theory and to examine the relationship between work motivation and subjective work performance. The study involved 147 corporate employees who completed the Multidimensional Work Motivation Scale and self-rated their work performance. The two-step cluster analysis was applied, followed by a one-way ANOVA and a post-hoc Bonferroni test. The findings revealed differences between the five profiles for all forms of motivational regulation on the self-determination continuum (large effect sizes). Further examination revealed that the employees’ current work performances differed across motivational profiles (medium effect size). Strongly and poorly motivated as well as autonomously motivated employees reported better subjective work performance compared to unmotivated individuals. In line with self-determination theory, the quantity and shape of motivation can be simultaneously considered in terms of both theoretical and practical implementation.

Year

Volume

23

Issue

3

Pages

227-245

Physical description

Dates

published
2021-02-16

Contributors

  • Faculty of Management and Economics, Gdańsk University of Technology

References

  • Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis. Psychological Bulletin, 140(4), 980–1009. https://doi.org/10.1037/a003566
  • Chen, C. X., Zhang, J., & Gilal, F. G. (2019). Composition of motivation profiles at work using latent analysis: theory and evidence. Psychology Research and Behavior Management, 12, 811–824. https://doi.org/10.2147/PRBM.S210830
  • Christensen, M., Dyrstad, J. M., & Innstrand, S. T. (2020). Academic work engagement, resources and productivity: empirical evidence with policy implications. Studies in Higher Education, 45(1), 86–99. https://doi.org/10.1080/03075079.2018.1517304
  • Chrupała-Pniak, M., Chudzicka-Czupała, A., Grabowski, D., & Paliga, M. (2017). Multidimensional Work Motivation Scale (Gagne et al., 2015) – Wielowymiarowa Skala Motywacji w Pracy – wersja eksperymentalna (Unpublished manuscript). Uniwersytet Śląski, Katowice, Poland.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.
  • Deci, E. L., Olafsen, A. H., & Ryan, R. M. (2017). Self-determination theory in work organizations: The state of a science. Annual Review of Organizational Psychology and Organizational Behavior, 4(1), 19–43. https://doi.org/10.1146/annurev-orgpsych-032516-113108
  • Deci, E. L., & Ryan, R. M. (2012). Self-determination theory. In P. A. M. van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 416–436). Sage Publications. https://doi.org/10.4135/9781446249215.n21
  • Delmestri, G., & Brumana, M. (2017). The multinational corporation as a playing field of power: A Bourdieusian approach. Multinational Corporations and Organization Theory: Post Millennium Perspectives (Research in the Sociology of Organizations), 49, 325–353. https://doi.org/10.1108/S0733-558X20160000049011
  • Everitt, B. S., Landau, S., Leese, M., & Stahl, D. (2011). Cluster Analysis (5th ed.). John Wiley & Sons.
  • Fernet, C., Litalien, D., Morin, A. J., Austin, S., Gagné, M., Lavoie-Tremblay, M., & Forest, J. (2020). On the temporal stability of self-determined work motivation profiles: A latent transition analysis. European Journal of Work and Organizational Psychology, 29(1), 49–63.
  • Gagné, M. (2014). The Oxford handbook of work engagement, motivation, and self-determination theory. Oxford University Press.
  • Gagné, M., & Deci, E. L. (2005). Self‐determination theory and work motivation. Journal of Organizational Behavior, 26(4), 331–362. https://doi.org/10.1002/job.322
  • Gagné, M., Forest, J., Vansteenkiste, M., Crevier-Braud, L., Van den Broeck, A., Aspeli, A. K., ... Halvari, H. (2015). The Multidimensional Work Motivation Scale: Validation evidence in seven languages and nine countries. European Journal of Work and Organizational Psychology, 24(2), 178–196. https://doi.org/10.1080/1359432X.2013.877892
  • Gillet, N., Fouquereau, E., Vallerand, R. J., Abraham, J., & Colombat, P. (2018). The role of workers’ motivational profiles in affective and organizational factors. Journal of Happiness Studies, 19(4), 1151–1174. https://doi.org/10.1007/s10902-017-9867-9
  • Graves, L. M., Cullen, K. L., Lester, H. F., Ruderman, M. N., & Gentry, W. A. (2015). Managerial motivational profiles: Composition, antecedents, and consequences. Journal of Vocational Behavior, 87, 32–42. https://doi.org/10.1016/j.jvb.2014.12.002
  • Harman, H. H. (1976). Modern factor analysis (3rd ed.). University of Chicago Press.
  • Howard, J. L., Gagné, M., Morin, A. J., & Forest, J. (2018). Using bifactor exploratory structural equation modeling to test for a continuum structure of motivation. Journal of Management, 44(7), 2638–2664. https://doi.org/10.1177/0149206316645653
  • Howard, J., Gagné, M., Morin, A. J., & Van den Broeck, A. (2016). Motivation profiles at work: A self-determination theory approach. Journal of Vocational Behavior, 95, 74–89. https://doi.org/10.1016/j.jvb.2016.07.004
  • Kuvaas, B., Buch, R., Weibel, A., Dysvik, A., & Nerstad, C. G. (2017). Do intrinsic and extrinsic motivation relate differently to employee outcomes? Journal of Economic Psychology, 61, 244–258. https://doi.org/10.1016/j.joep.2017.05.004
  • Malinowska, D., & Tokarz, A. (2020). The moderating role of Self Determination Theory’s general causality orientations in the relationship between the job resources and work engagement of outsourcing sector employees. Personality and Individual Differences, 153, 109638. https://doi.org/10.1016/j.paid.2019.109638
  • Manganelli, L., Thibault-Landry, A., Forest, J., & Carpentier, J. (2018). Self-determination theory can help you generate performance and well-being in the workplace: A review of the literature. Advances in Developing Human Resources, 20(2), 227–240. https://doi.org/10.1177/1523422318757210
  • Moran, C. M., Diefendorff, J. M., Kim, T. Y., & Liu, Z. Q. (2012). A profile approach to self--determination theory motivations at work. Journal of Vocational Behavior, 81(3), 354–363. https://doi.org/10.1016/j.jvb.2012.09.002
  • Pink, D. H. (2009). Drive: The surprising truth about what motivates us. Penguin.
  • Rozkwitalska, M. (2019). Learning experiences in mono-and intercultural workplace interactions – the job-demands-resources approach. Journal of Workplace Learning, 31(5), 305–323. https://doi.org/10.1108/JWL-11-2018-0140
  • Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
  • Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications.
  • 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. https://doi.org/10.1037110003-066X.55.1.68
  • Salanova, M., Del Líbano, M., Llorens, S., & Schaufeli, W. B. (2014). Engaged, workaholic, burned‐out or just 9‐to‐5? Toward a typology of employee well‐being. Stress and Health, 30(1), 71–81. https://doi.org/10.1002/smi.2499
  • Schaufeli, W. B. (2017). Applying the job demands-resources model. Organizational Dynamics, 2(46), 120–132. https://doi.org/10.1016/j.orgdyn.2017.04.008
  • Tóth‐Király, I., Morin, A. J., Bőthe, B., Rigó, A., & Orosz, G. (2020). Toward an improved understanding of work motivation profiles. Applied Psychology. https://doi.org/10.1111/apps.12256
  • Tsiptis, K., & Chorianopoulos, A. (2009). Data mining techniques in CRM: Inside customer segmentation. John Wiley & Sons.
  • Van den Broeck, A., Lens, W., De Witte, H., & Van Coillie, H. (2013). Unraveling the importance of the quantity and the quality of workers’ motivation for wellbeing: A person-centered perspective. Journal of Vocational Behavior, 82(1), 69–78. https://doi.org/10.1016/j.jvb.2012.11.005
  • Walther, A., Möltner, H., & Morner, M. (2017). Non-executive director’s motivation to continue serving on boards: A self-determination theory perspective. Corporate Governance: The International Journal of Business in Society, 17(1), 64–76. https://doi.org/10.1108/CG-05-2016-0120
  • Weske, U., & Schott, C. (2018). What motivates different groups of public employees working for Dutch municipalities? Combining autonomous and controlled types of motivation. Review of Public Personnel Administration, 38(4), 415–430.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.ojs-doi-10_18290_rpsych20233-3
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.