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Impact of telework on exhaustion and job engagement: a job demands and job resources model
Abstract
Teleworking, the increasingly common practice, which involves working away from the office using technology, entails changes in the experience of work. Such changes may influence the demands and resources associated with a job. While research on burnout has addressed the role of exhaustion and job engagement using the Job Demands‐Resources model, existing literature has focused on traditional work modes. This paper explores the effects on job demands and resources to understand the processes through which telework impacts the exhaustion and engagement of the teleworker. We find that the positive effect of telework revolves around reduced work pressure and role conflict and increased autonomy. The negative effect of telework is expressed through increased role ambiguity and reduced support and feedback. Overall, we find that telework is negatively related to both exhaustion and job engagement and that job demands and resources mediate these relationships.
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Conservation of resources: A new attempt at conceptualizing stress
Hobfoll, S. E. (1989) · American Psychologist · doi:10.1037/0003-066x.44.3.513 · Cited by 18,187
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
The job demands-resources model of burnout.
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.3.499 · Cited by 13,643
The Job Demands‐Resources model: state of the art
Bakker, A. B., & Demerouti, E. (2007) · Journal of Managerial Psychology · doi:10.1108/02683940710733115 · Cited by 12,996
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.397 · Cited by 12,852
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
The measurement of engagement and burnout: a two sample confirmatory factor analytic approach.
Schaufeli, W. B., Salanova, M., González-romá, V., & Bakker, A. B. (2002) · Journal of Happiness Studies · doi:10.1023/a:1015630930326 · Cited by 10,014
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Job demands, job resources, and their relationship with burnout and engagement: a multi‐sample study
Schaufeli, W. B., & Bakker, A. B. (2004) · Journal of Organizational Behavior · doi:10.1002/job.248 · Cited by 9,297
ASSESSING THE WORK ENVIRONMENT FOR CREATIVITY.
AMABILE, T. M., CONTI, R., COON, H., LAZENBY, J., & HERRON, M. (1996) · Academy of Management Journal · doi:10.2307/256995 · Cited by 6,029
A meta-analytic examination of the correlates of the three dimensions of job burnout
Lee, R. T., & Ashforth, B. E. (1996) · Journal of Applied Psychology · doi:10.1037/0021-9010.81.2.123 · Cited by 3,262
Social psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630
Job Resources Buffer the Impact of Job Demands on Burnout.
Bakker, A. B., Demerouti, E., & Euwema, M. C. (2005) · Journal of Occupational Health Psychology · doi:10.1037/1076-8998.10.2.170 · Cited by 2,483
The impact of interpersonal environment on burnout and organizational commitment
Leiter, M. P., & Maslach, C. (1988) · Journal of Organizational Behavior · doi:10.1002/job.4030090402 · Cited by 1,597
A Meta-Analysis of Work Demand Stressors and Job Performance: Examining Main and Moderating Effects
GILBOA, S., SHIROM, A., FRIED, Y., & COOPER, C. (2008) · Personnel Psychology · doi:10.1111/j.1744-6570.2008.00113.x · Cited by 1,072
Role conflict and ambiguity as critical variables in a model of organizational behavior
House, R. J., & Rizzo, J. R. (1972) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(72)90030-x · Cited by 1,068
Golden, T. D., Veiga, J. F., & Dino, R. N. (2008) · Journal of Applied Psychology · doi:10.1037/a0012722 · Cited by 841
Self-citation
Cited by
How Effective Is Telecommuting? Assessing the Status of Our Scientific Findings
Allen, T. D., Golden, T. D., & Shockley, K. M. (2015) · Psychological Science in the Public Interest · doi:10.1177/1529100615593273 · Cited by 1,788
Self-citationGalanti, T., Guidetti, G., Mazzei, E., Zappalà, S., & Toscano, F. (2021) · Journal of Occupational & Environmental Medicine · doi:10.1097/jom.0000000000002236 · Cited by 826
Systematically reviewing remote e-workers’ well-being at work: a multidimensional approach
Charalampous, M., Grant, C. A., Tramontano, C., & Michailidis, E. (2019) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2018.1541886 · Cited by 743
The role of organisational support in teleworker wellbeing: A socio-technical systems approach
Bentley, T. A., Teo, S. T. T., McLeod, L., Tan, F., Bosua, R., & Gloet, M. (2016) · Applied Ergonomics · doi:10.1016/j.apergo.2015.07.019 · Cited by 570
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
Metadata
- Authors
- Sardeshmukh, S. R., Sharma, D., & Golden, T. D.
- Venue
- New Technology, Work and Employment
- Publisher
- Wiley
- Published
- 2012-10-26
- Volume
- 27
- Issue
- 3
- Pages
- 193-207
- ISSN
- 0268-1072 (ISSN-L)
- 1468-005X
- OpenAlex
- W2141702126
- Cited by
- 526
- References
- 23
- FWCI
- 13.48
- Type
- journal article
- Language
- en
- Open access
- closed
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