Context Sensitive Technologies and Electronic Employee Monitoring: a Meta-Analytic Review
Abstract
Digitized, interconnected work environments become increasingly popular. It is assumed that these system support employees in their daily routine and reduce mental demand and stress at work. However, context-aware systems entail the potential for comprehensive electronic workplace monitoring. This contribution reviews the influence of electronic monitoring on outcome variables, such as performance, psychological stress and strain, work motivation, satisfaction and behavior. 85 studies have been identified and prepared both qualitatively and metaanalytically. There were heterogeneous findings for employee performance. Mild adverse effects of monitoring on perceived stress, mental demand, job motivation and satisfaction, as well as organizational trust and perceived control could be found. Significant design recommendations were made in order to increase acceptance and avoid adverse monitoring effects. Most of the studies were based on cross-sectional correlative or quasi-experimental survey designs. As a result, ascertained design knowledge requires more longitudinal studies and systematic interventions of electronic monitoring in the field.
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A comprehensive announcement and rational explanation about a monitoring system can prevent its negative impact on employees' sense of control.
“For instance, the review by Backhaus (2019) revealed that a comprehensive announcement and rational explanation about a monitoring system can prevent its negative impact on employees' sense of control.”
From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Backhaus, 2019
A participatory approach to monitoring has been observed as an important feature to maintain employees' sense of control.
“A participatory approach of monitoring (e.g.,”
From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Backhaus, 2019
The possibility for employees to use their judgement when something goes wrong and to switch off the system for a short period likely makes an important difference in their reaction to an algorithmic monitoring system.
“the possibility for employees to use their judgement when something goes wrong and to switch off the system for a short period is likely to make an important difference in their reaction to an algorithmic monitoring system, as observed in the Backhaus (2019) meta-analytical review.”
From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Backhaus (2019)
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Sorted by citations
Algorithms as work designers: How algorithmic management influences the design of jobs
Parent-Rocheleau, X., & Parker, S. K. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100838 · Cited by 512 · see citing works
Siegel, R., König, C. J., & Lazar, V. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100227 · Cited by 121 · see citing works
- Authors
- Backhaus, N.
- Affiliations
- Federal Institute for Occupational Safety and Health (DE)
- Corresponding author
- Backhaus, Nils
- ORCID
- Backhaus, Nils
- Venue
- 2019 IEEE/SICE International Symposium on System Integration (SII)
- Publisher
- IEEE
- Published
- 2019-01
- Pages
- 548-553
- OpenAlex
- W2943683027
- Cited by
- 35
- References
- 0
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 7 · 2021: 3 · 2020: 1
- FWCI
- 4.56
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE/SICE International Symposium on System Integration (SII) (publishedVersion)
- Funders
- Bundesministerium für Bildung und Forschung
- Topics
- Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Keywords
- context-aware systems, workplace monitoring, employee performance, psychological stress, employee motivation, job satisfaction, perceived control, organizational trust, technology acceptance, mental demand, employee behavior
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