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The impact of electronic monitoring on employees' job satisfaction, stress, performance, and counterproductive work behavior: A meta-analysis
Open accessAbstract
Organizations all around the world increasingly use electronic monitoring to collect information on employees’ working behavior. To investigate the effects of electronic monitoring on employees’ job satisfaction, stress, performance, and counterproductive work behavior (CWB), we collected data of 70 independent samples and 233 effect sizes for this meta-analysis. Results indicate that electronic monitoring slightly decreases job satisfaction, r = −0.10, and slightly increases stress, r = .11, supporting the notion that electronic monitoring negatively affects employees’ well-being and work attitudes. Moderator analyses suggest that performance targets and feedback may further exacerbate these negative effects on workers. Furthermore, maintaining and improving the performance of employees is an important justification of electronic monitoring. However, the current meta-analysis found no relationship between electronic monitoring and performance, r = −0.01, but a small positive relationship with CWB, r = 0.09. These results question the benefits of electronic monitoring for organizations. Thus, decision-makers in organizations should pay attention to what ends employees are monitored. Beyond that, the current meta-analysis shows that laboratory studies probably underestimate the relationship between monitoring and employees’ job satisfaction, stress, and performance in field studies. In addition, current research on the effects of electronic monitoring lacks the examination of processes why organizations implement electronic monitoring and how electronic monitoring and work design are related to each other.
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Cites
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
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
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign
Karasek, R. A. (1979) · Administrative Science Quarterly · doi:10.2307/2392498 · Cited by 12,597
Kluger, A. N., & DeNisi, A. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.254 · Cited by 5,882
Evaluating Effect Size in Psychological Research: Sense and Nonsense
Funder, D. C., & Ozer, D. J. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919847202 · Cited by 3,295
Development of a measure of workplace deviance.
Bennett, R. J., & Robinson, S. L. (2000) · Journal of Applied Psychology · doi:10.1037/0021-9010.85.3.349 · Cited by 3,084
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
How Technology Is Changing Work and Organizations
Cascio, W. F., & Montealegre, R. (2016) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-041015-062352 · Cited by 1,442
NISHII, L. H., LEPAK, D. P., & SCHNEIDER, B. (2008) · Personnel Psychology · doi:10.1111/j.1744-6570.2008.00121.x · Cited by 1,410
Field, A. P., & Gillett, R. (2010) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711010x502733 · Cited by 1,162
Three-level meta-analysis of dependent effect sizes
Van den Noortgate, W., López-López, J. A., Marín-Martínez, F., & Sánchez-Meca, J. (2013) · Behavior Research Methods · doi:10.3758/s13428-012-0261-6 · Cited by 1,130
Stanley, T. D., & Doucouliagos, H. (2014) · Research Synthesis Methods · doi:10.1002/jrsm.1095 · Cited by 916
Beyond Motivation: Job and Work Design for Development, Health, Ambidexterity, and More
Parker, S. K. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-010213-115208 · Cited by 839
Correlational effect size benchmarks
Bosco, F. A., Aguinis, H., Singh, K., Field, J. G., & Pierce, C. A. (2015) · Journal of Applied Psychology · doi:10.1037/a0038047 · Cited by 768
Construct Validation in Social and Personality Research
Flake, J. K., Pek, J. C. X., & Hehman, E. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617693063 · Cited by 715
metaSEM: an R package for meta-analysis using structural equation modeling
Cheung, M. W. ‐. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01521 · Cited by 698
Performance appraisal and performance management: 100 years of progress?
DeNisi, A. S., & Murphy, K. R. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000085 · Cited by 677
Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods
Carter, E. C., Schönbrodt, F. D., Gervais, W. M., & Hilgard, J. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919847196 · Cited by 588
Workplace surveillance: an overview
Ball, K. S. (2010) · Labor History · doi:10.1080/00236561003654776 · Cited by 536
Performance management : key strategies and practical guidelines
Armstrong, M. (2000) · Cited by 443
Day, A., Paquet, S., Scott, N., & Hambley, L. (2012) · Journal of Occupational Health Psychology · doi:10.1037/a0029837 · Cited by 436
Schwarzmüller, T., Brosi, P., Duman, D., & Welpe, I. M. (2018) · management revu · doi:10.5771/0935-9915-2018-2-114 · Cited by 409
DOES MONITORING INCREASE WORK EFFORT? THE RIVALRY WITH TRUST AND LOYALTY
Frey, B. S. (1993) · Economic Inquiry · doi:10.1111/j.1465-7295.1993.tb00897.x · Cited by 385
Gerhart, B., & Fang, M. (2015) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-032414-111418 · Cited by 377
Tipton, E., & Pustejovsky, J. E. (2015) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998615606099 · Cited by 362
Electronic performance monitoring and social context: Impact on productivity and stress.
Aiello, J. R., & Kolb, K. J. (1995) · Journal of Applied Psychology · doi:10.1037/0021-9010.80.3.339 · Cited by 356
Revisiting Truth or Triviality
Mitchell, G. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691611432343 · Cited by 343
The Effects of Performance Monitoring on Emotional Labor and Well-Being in Call Centers
Holman, D. J., Chissick, C., & Totterdell, P. (2002) · Motivation and Emotion · doi:10.1023/a:1015194108376 · Cited by 337
Greenberg, L., & Barling, J. I. (1999) · Journal of Organizational Behavior · doi:10.1002/(sici)1099-1379(199911)20:6 · Cited by 308
Reactions to Employee Performance Monitoring: Framework, Review, and Research Directions
Stanton, J. M. (2000) · Human Performance · doi:10.1207/s15327043hup1301_4 · Cited by 306
EPM 20/20: A Review, Framework, and Research Agenda for Electronic Performance Monitoring
Ravid, D. M., Tomczak, D. L., White, J. C., & Behrend, T. S. (2020) · Journal of Management · doi:10.1177/0149206319869435 · Cited by 277
Meta-Analysis With Complex Research Designs
Scammacca, N. K., Roberts, G. J., & Stuebing, K. K. (2013) · Review of Educational Research · doi:10.3102/0034654313500826 · Cited by 269
Employee stress and health complaints in jobs with and without electronic performance monitoring
Smith, M. J., Carayon, P., Sanders, K., Lim, S.-Y., & LeGrande, D. (1992) · Applied Ergonomics · doi:10.1016/0003-6870(92)90006-h · Cited by 249
Coercion Versus Care: Using Irony to Make Sense of Organizational Surveillance
Sewell, G., & Barker, J. R. (2006) · Academy of Management Review · doi:10.5465/amr.2006.22527466 · Cited by 243
A multivariate mixed linear model for meta-analysis.
Kalaian, H. A., & Raudenbush, S. W. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.3.227 · Cited by 229
Employee wellbeing in call centres
Holman, D. J. (2002) · Human Resource Management Journal · doi:10.1111/j.1748-8583.2002.tb00076.x · Cited by 212
Human Autonomy in Cross-Cultural Context
Chirkov, V., Sheldon, K. M., & Ryan, R. M. (2010) · Cross-cultural advancements in positive psychology · doi:10.1007/978-90-481-9667-8 · Cited by 211
Toward effective supervision: An operant analysis and comparison of managers at work.
Komaki, J. L. (1986) · Journal of Applied Psychology · doi:10.1037/0021-9010.71.2.270 · Cited by 206
When food‐delivery platform workers consent to algorithmic management: a Foucauldian perspective
Galière, S. (2020) · New Technology, Work and Employment · doi:10.1111/ntwe.12177 · Cited by 198
Ghislieri, C., Molino, M., & Cortese, C. G. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02365 · Cited by 194
Fassina, N. E., Jones, D. A., & Uggerslev, K. L. (2007) · Journal of Management · doi:10.1177/0149206307309260 · Cited by 183
Does One Size Fit All? Examining the Differential Effects of IS Security Countermeasures
D’Arcy, J., & Hovav, A. (2008) · Journal of Business Ethics · doi:10.1007/s10551-008-9909-7 · Cited by 180
Aiello, J. R., & Svec, C. M. (1993) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1993.tb01102.x · Cited by 180
(2017) · International Conference on Information Systems · Cited by 171
Tapping into the wearable device revolution in the work environment: a systematic review
Khakurel, J., Melkas, H., & Porras, J. (2018) · Information Technology and People · doi:10.1108/itp-03-2017-0076 · Cited by 167
Computerized performance monitoring systems: use and abuse
Irving, R. H., Higgins, C. A., & SAFAYENI, F. R. (1986) · Communications of the ACM · doi:10.1145/6424.6430 · Cited by 156
Reducing burnout in call centers through HR practices
Castanheira, F., & Chambel, M. J. (2010) · Human Resource Management · doi:10.1002/hrm.20393 · Cited by 154
Call centers as Lean service environments: job-related strain and the mediating role of work design
Sprigg, C. A., & Jackson, P. R. (2006) · Journal of Occupational Health Psychology · doi:10.1037/1076-8998.11.2.197 · Cited by 151
Electronic monitoring and surveillance in the workplace
Holland, P. J., Cooper, B. K., & Hecker, R. (2015) · Personnel Review · doi:10.1108/pr-11-2013-0211 · Cited by 147
Carlson, J. R., Carlson, D. S., Zivnuska, S., Harris, R. B., & Harris, K. J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.09.009 · Cited by 145
Gosnell, G. K., List, J. A., & Metcalfe, R. (2019) · Journal of Political Economy · doi:10.1086/705375 · Cited by 139
Monitoring what and how: psychological implications of electronic performance monitoring
Jeske, D., & Santuzzi, A. M. (2015) · New Technology, Work and Employment · doi:10.1111/ntwe.12039 · Cited by 138
Gagné, M., & Bhave, D. P. (2010) · Cross-cultural advancements in positive psychology · doi:10.1007/978-90-481-9667-8_8 · Cited by 134
A meta-analytic investigation of cyberloafing
Mercado, B. K., Giordano, C., & Dilchert, S. (2017) · Career Development International · doi:10.1108/cdi-08-2017-0142 · Cited by 134
The invisible eye? Electronic performance monitoring and employee job performance
Bhave, D. P. (2013) · Personnel Psychology · doi:10.1111/peps.12046 · Cited by 124
Douthitt, E. A., & Aiello, J. R. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.5.867 · Cited by 121
Police Body-Worn Cameras: Effects on Officers’ Burnout and Perceived Organizational Support
Adams, I. T., & Mastracci, S. H. (2018) · Police Quarterly · doi:10.1177/1098611118783987 · Cited by 121
Stanton, J. M., & Weiss, E. M. (2000) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00018-2 · Cited by 119
Carayon, P. (1993) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089303500301 · Cited by 119
Wells, D. L., Moorman, R. H., & Werner, J. M. (2007) · Human Resource Development Quarterly · doi:10.1002/hrdq.1194 · Cited by 117
Nebeker, D. M., & Tatum, B. C. (1993) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1993.tb01101.x · Cited by 114
Reactance to Electronic Surveillance: a Test of Antecedents and Outcomes
Yost, A. B., Behrend, T. S., Howardson, G. N., Darrow, J. B., & Jensen, J. M. (2018) · Journal of Business and Psychology · doi:10.1007/s10869-018-9532-2 · Cited by 105
Evidence-based recommendations for employee performance monitoring
Tomczak, D. L., Lanzo, L. A., & Aguinis, H. (2018) · Business Horizons · doi:10.1016/j.bushor.2017.11.006 · Cited by 105
Electronic monitoring and surveillance in call centres: a framework for investigation
Ball, K. S., & Margulis, S. T. (2011) · New Technology, Work and Employment · doi:10.1111/j.1468-005x.2011.00263.x · Cited by 102
de Vries, R. E., & van Gelder, J. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2015.06.008 · Cited by 99
Monitoring and Performance: A Comparison of Computer and Supervisor Monitoring1
Griffith, T. L. (1993) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1993.tb01103.x · Cited by 97
Martin, A. J., Wellen, J., & Grimmer, M. R. (2016) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1225313 · Cited by 90
The impact of electronic monitoring on quality and quantity of performance
Stanton, J. M., & Julian, A. L. (2002) · Computers in Human Behavior · doi:10.1016/s0747-5632(01)00029-2 · Cited by 81
Work Design Variation and Outcomes in Call Centers: Strategic Choice and Institutional Explanations
Holman, D. J., Frenkel, S. J., Sørensen, O. H., & Wood, S. (2009) · Industrial and Labor Relations Review · doi:10.1177/001979390906200403 · Cited by 77
The Psychology of Workplace Technology
Pa, H. (2013) · Routledge eBooks · doi:10.4324/9780203735565 · Cited by 77
Care in a Time of Austerity: the Electronic Monitoring of Homecare Workers’ Time
Hayes, L., & Moore, S. (2016) · Gender Work and Organization · doi:10.1111/gwao.12164 · Cited by 75
Davidson, R., & Henderson, R. D. (2000) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2000.tb02502.x · Cited by 74
Always Connected: Technology Use Increases Technostress Among Public Managers
Camarena, L., & Fusi, F. (2021) · The American Review of Public Administration · doi:10.1177/02750740211050387 · Cited by 70
Alder, G. S., & Ambrose, M. L. (2005) · Human Resource Management Review · doi:10.1016/j.hrmr.2005.01.001 · Cited by 69
The effects of electronic performance monitoring on stress: Locus of control as a moderator variable
Kolb, K. J., & Aiello, J. R. (1996) · Computers in Human Behavior · doi:10.1016/0747-5632(96)00016-7 · Cited by 62
Electronic workplace monitoring: What employees think
Oz, E., Glass, R. S., & Behling, R. P. (1999) · Omega · doi:10.1016/s0305-0483(98)00037-1 · Cited by 58
Knies, E., Jacobsen, C. B., & Tummers, L. G. (2016) · Routledge eBooks · doi:10.4324/9781315695792 · Cited by 55
Moorman, R. H., & Wells, D. L. (2003) · Journal of Leadership & Organizational Studies · doi:10.1177/107179190301000202 · Cited by 51
Effects of electronic performance monitoring on job design and worker stress: Results of two studies
Carayon, P. (1994) · International Journal of Human-Computer Interaction · doi:10.1080/10447319409526089 · Cited by 50
2019 IEEE/SICE International Symposium on System Integration (SII)
(2019) · doi:10.1109/sii42950.2019 · Cited by 50
Kwon, D., & Reis, I. M. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0055-5 · Cited by 48
Watson, A., Thompson, L. F., Rudolph, J. V., Whelan, T., Behrend, T. S., & Gissel, A. L. (2013) · Journal of Applied Psychology · doi:10.1037/a0032002 · Cited by 47
Iversen, A.-M., Kavalaris, C. P., Hansen, R., Hansen, M. B., Alexander, R., Kostadinov, K., Holt, J., Kristensen, B., Knudsen, J. D., Møller, J. K., et al. (2019) · American Journal of Infection Control · doi:10.1016/j.ajic.2019.09.003 · Cited by 47
Exploring antecedents and consequences of burnout in a call centre
Visser, W. A., & Rothmann, S. (2008) · SA Journal of Industrial Psychology · doi:10.4102/sajip.v34i2.734 · Cited by 44
Vanhove, A. J., & Harms, P. D. (2015) · Applied Psychology · doi:10.1111/apps.12046 · Cited by 42
The effects and moderators of cyber-loafing controls: an empirical study of Chinese public servants
Wang, J., Tian, J., & Shen, Z. (2013) · Information Technology and Management · doi:10.1007/s10799-013-0164-y · Cited by 40
Telephone surveillance in call centers: prescriptions for reducing strain
Varca, P. E. (2006) · Managing Service Quality · doi:10.1108/09604520610663507 · Cited by 38
Henderson, R. D., Mahar, D., Saliba, A. J., Deane, F. P., & Napier, R. C. (1998) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1997.0167 · Cited by 36
An Agency Theory Explanation of Project Success
Mahaney, R. C., & Lederer, A. L. (2015) · Journal of Computer Information Systems · Cited by 35
Context Sensitive Technologies and Electronic Employee Monitoring: a Meta-Analytic Review
Backhaus, N. (2019) · 2019 IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii.2019.8700354 · Cited by 35
Workplace Monitoring and Surveillance Research since “1984”: A Review and Agenda
(2013) · Routledge eBooks · doi:10.4324/9780203735565-22 · Cited by 33
Claypoole, V. L., & Szalma, J. L. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.001 · Cited by 29
Monitoring Online Training Behaviors: Awareness of Electronic Surveillance Hinders E‐Learners1
Thompson, L. F., Sebastianelli, J., & Murray, N. P. (2009) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2009.00521.x · Cited by 29
A taxonomic foundation for evidence-based research on employee performance management
Posthuma, R. A., Charles Campion, M., & Campion, M. A. (2018) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2018.1438411 · Cited by 28
Examining big brother's purpose for using electronic performance monitoring
Bartels, L. K., & Nordstrom, C. R. (2012) · Performance Improvement Quarterly · doi:10.1002/piq.20140 · Cited by 28
Becker, T. E., & Marique, G. (2013) · Journal of Business and Psychology · doi:10.1007/s10869-013-9338-1 · Cited by 26
Advancing Meta-Analysis With Knowledge-Management Platforms: Using metaBUS in Psychology
Bosco, F. A., Field, J. G., Larsen, K. R. T., Chang, Y., & Uggerslev, K. L. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919882693 · Cited by 26
A Detailed Analysis of Task Performance With and Without Computer Monitoring
Stanton, J. M., & Sarkar-Barney, S. T. M. (2003) · International Journal of Human-Computer Interaction · doi:10.1207/s15327590ijhc1602_11 · Cited by 22
Electronic Performance Monitoring, Job Design and Psychological Stress
Rogers, K. J. S., Smith, M. J., & Sainfort, P. C. (1990) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193129003401206 · Cited by 22
Computer-Based Performance Monitoring and Productivity in a Multiple Task Environment
Kolb, K. J., & Aiello, J. R. (1997) · Journal of Business and Psychology · doi:10.1023/a:1025022202211 · Cited by 21
The role of general and specific stressors in the health and well-being of call centre operators
Mellor, D. J., Moore, K., & Siong, Z. M. B. (2015) · Work · doi:10.3233/wor-141975 · Cited by 21
THE MANAGERIAL DECISION TO IMPLEMENT ELECTRONIC SURVEILLANCE AT WORK: A RESEARCH FRAMEWORK
Chen, V., & Ross, W. H. (2005) · International journal of organizational analysis · doi:10.1108/eb029006 · Cited by 18
The hidden costs of surveillance for performance and helping behaviour
O’Donnell, A. T., Ryan, M. K., & Jetten, J. (2012) · Group Processes & Intergroup Relations · doi:10.1177/1368430212453629 · Cited by 17
Big Brother or big bother? E‐monitoring the salesforce
DelVecchio, S. K., Deeter‐Schmelz, D. R., & Anselmi, K. (2013) · Journal of Business and Industrial Marketing · doi:10.1108/08858621311313893 · Cited by 17
The Effect of Age and Task Difficulty
Mallo, J. R., Nordstrom, C. R., Bartels, L. K., & Traxler, A. J. (2008) · Performance Improvement Quarterly · doi:10.1111/j.1937-8327.2007.tb00431.x · Cited by 16
EPM technology and the psychosocial work environment
Rafnsdóttir, G. L., & Gudmundsdottir, M. L. (2011) · New Technology Work and Employment · doi:10.1111/j.1468-005x.2011.00270.x · Cited by 15
Silicon supervisors and stress: Merging new evidence from the field
Galletta, D. F., & Grant, R. A. (1995) · Accounting Management and Information Technologies · doi:10.1016/0959-8022(96)00003-3 · Cited by 13
Claypoole, V. L., Neigel, A. R., Waldfogle, G. E., & Szalma, J. L. (2019) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000635 · Cited by 12
Silverman, M. K., & Smith, C. S. (1995) · American Psychological Association eBooks · doi:10.1037/10173-011 · Cited by 11
Stripped of Agency: The Paradoxical Effect of Employee Monitoring on Deviance
Thiel, C. E., Bonner, J., Bush, J. T., Welsh, D. T., & Garud, N. (2021) · Academy of Management Proceedings · doi:10.5465/ambpp.2021.11632abstract · Cited by 11
Effects of Organizational Controls on Employees' Cyber-loafing
Luo, X. R., Xu, F., Zhang, J., Xiao, S., & Xue, B. (2022) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3514097.3514102 · Cited by 10
Huston, T. L., Galletta, D. F., & Huston, J. L. (2002) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.1993.284234 · Cited by 10
Karim, M. N. (n.d.) · ProQuest Demo Repository · Cited by 7
How hybrid HR systems affect performance in call centers
Story, J. S. P., & Castanheira, F. (2020) · Personnel Review · doi:10.1108/pr-01-2020-0054 · Cited by 7
Are You Watching Me? A Look at Panoptic Perceptions Surrounding Computer Monitoring Systems
Johnson, N., Li, Y., Tang, F., & Sarker, S. (2014) · Journal of Information Technology Case and Application Research · doi:10.1080/15228053.2014.912475 · Cited by 7
Galinsky, T. L., Schleifer, L. M., & Pan, C. S. (1995) · International Journal of Human-Computer Interaction · doi:10.1080/10447319509526108 · Cited by 7
Hu, Y.-L., Hung, C.-H., & Ching, G. S. (2016) · International Journal of Research Studies in Management · doi:10.5861/ijrsm.2016.1627 · Cited by 6
The effects of electronic performance monitoring on performance outcomes: a review and meta-analysis
Carroll, W. R. (2006) · Saint Mary's University Institutional Repository (Saint Mary's University) · Cited by 6
Part-time workers’ responses to electronic performance monitoring
Jeske, D., & Santuzzi, A. M. (2019) · Northumbria Research Link (Northumbria University) · doi:10.25762/qbzw-0377 · Cited by 4
Jiang, H. (2019) · Journal of the Association for Information Systems · Cited by 3
Wearables in the Workplace: Examination Using a Privacy Boundary Model
Luse, A., & Burkman, J. (2020) · Journal of the Association for Information Systems · doi:10.17705/3jmwa.000058 · Cited by 3
Watson, A. M. (2008) · NCSU Libraries Repository (North Carolina State University Libraries) · Cited by 2
EPM effects on workplace well-being: The role of personality
Robinson, C. D. (2020) · Research Commons (University of Waikato) · Cited by 2
Reilly, S. M. (2010) · Durham e-Theses (Durham University) · Cited by 1
Research works printed but not linked: 4
- Kiziloğlu, 2018, A research on the relationship between workplace monitoring and job stress, Journal of Organizational Behavior Research, 3, 1
- McNall, 2009, Employee location sensing: Implications for security and privacy, Vol. 4, 481
- Tamuz, 1987, The impact of computer surveillance on air safety reporting, The Columbia Journal of World Business, 22, 69
- Wynne, 2018, Leadership, monitoring, trustworthiness, and deviance: A moderated-mediation model, Paper presented at the 33rd Annual Conference of the Society for Industrial and Organizational Psychology
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Self-citationWolff, M. S., White, J. C., Abraham, M., Schnabel, C., Wieser, L., & Niessen, C. (2024) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2024.104031 · Cited by 38
The ‘side effects’ of digitalization: A study on role overload and job burnout of employees
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Duradoni, M., Gursesli, M. C., Martucci, A., Ayarza, I. Y. G., Colombini, G., & Guazzini, A. (2023) · Psychological Reports · doi:10.1177/00332941231219921 · Cited by 27
Metadata
- Authors
- Siegel, R., König, C. J., & Lazar, V.
- Affiliations
- Saarland University (DE)
- Corresponding author
- Siegel, Rudolf
- Venue
- Computers in Human Behavior Reports
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 8
- Pages
- 100227
- ISSN
- 2451-9588 (ISSN-L)
- OpenAlex
- W4291163994
- Cited by
- 121
- References
- 128
- Citations by year
- 2026: 45 · 2025: 28 · 2024: 25 · 2023: 19 · 2022: 4
- FWCI
- 4.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers in Human Behavior Reports (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Publications of the UdS (Saarland University) (cc-by)
- Funders
- Kowa Company
- Deutsche Forschungsgemeinschaft
- Universität des Saarlandes
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Cyberloafing and Workplace Behavior
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employee Performance and Management
- Keywords
- electronic monitoring, job satisfaction, occupational stress, employee performance, counterproductive work behavior, employee well-being, performance goals, feedback, job design, workplace surveillance
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