The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
One Road to Turnover: An Examination of Work Exhaustion in Technology Professionals1
Abstract
The concept of work exhaustion (or job burnout) from the management and psychology research literature is examined in the context of technology professionals. Data were collected from 270 IT professionals and managers in various industries across the United States. Through structural equation modeling, work exhaustion was shown to partially mediate the effects of workplace factors on turnover intention. In addition, the results of the study revealed that: (1) technology professionals experiencing higher levels of exhaustion reported higher intentions to leave the job and, (2) of the variables expected to influence exhaustion (work overload, role ambiguity and conflict, lack of autonomy and lack of rewards), work overload was the strongest contributor to exhaustion in the technology workers. Moreover, exhausted IT professionals identified insufficient staff and resources as a primary cause of work overload and exhaustion. Implications for practice and future research are discussed.
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Cites
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Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
The measurement of experienced burnout
Maslach, C., & Jackson, S. E. (1981) · Journal of Organizational Behavior · doi:10.1002/job.4030020205 · Cited by 14,496
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A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604
Negative affectivity: the disposition to experience aversive emotional states
Watson, D., & Clark, L. A. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.96.3.465 · Cited by 4,636
A meta-analytic examination of the correlates of the three dimensions of job burnout
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Personality and susceptibility to positive and negative emotional states.
Larsen, R. J., & Ketelaar, T. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.61.1.132 · Cited by 1,062
‘Burnout’, absence and turnover amongst British nursing staff
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Cited by
Ahuja, M. K., & Bennett, J. (2005) · MIS Quarterly · doi:10.2307/25148691 · Cited by 818
Lee, A. R., Son, S.-M., & Kim, K. K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.011 · Cited by 814
Molino, M., Ingusci, E., Signore, F., Manuti, A., Giancaspro, M. L., Russo, V., Zito, M., & Cortese, C. G. (2020) · Sustainability · doi:10.3390/su12155911 · Cited by 532
Joseph, D., Ng, K.-Y., Koh, C., & Ang, S. (2007) · MIS Quarterly · doi:10.2307/25148807 · Cited by 468
Impact of artificial intelligence on employees working in industry 4.0 led organizations
Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2022) · International Journal of Manpower · doi:10.1108/ijm-03-2021-0173 · Cited by 416
Metadata
- Authors
- Moore, J. E.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2000-03-01
- Volume
- 24
- Issue
- 1
- Pages
- 141-168
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W63814348
- Cited by
- 947
- References
- 9
- FWCI
- 21.53
- Type
- journal article
- Language
- en
- Open access
- closed
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