Potential Employees' Ethical Perceptions of Active Monitoring: The Dark Side of Data Analytics
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ABSTRACT Employees are increasingly monitored through integrated, data analytic-driven continuous (i.e., active) monitoring systems that analyze a wealth of data concerning their behaviors and actions. While use of these active monitoring systems has been advocated for improved performance measurement, increased productivity, and reduced costs, discussion has generally ignored the ethical implications of such monitoring as well as the impact on employees' morale and views of the organization. This study investigates these issues through application of contractarian ethics in the experimental examination of employees' beliefs and intentions based on organizational monitoring practices. In the first experiment, the level of monitoring and pay are varied to understand potential employees' perspectives on organizational ethics, willingness to accept a job with an organization, and their likely job satisfaction. While pay may sway willingness to accept a job and even the level of satisfaction, pay does not affect potential employees' ethical perceptions of the organization. Under high monitoring situations, potential employees consistently rate the ethics of the organization as poor. In a second experiment, four justifications that the literature suggests employers may provide for using employee monitoring are found to have no effect on employees' views about the organization in a high monitoring environment. Data Availability: Please contact the authors.
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In the same experiment, higher pay significantly increased the likelihood of job acceptance, but it only marginally increased perceived job satisfaction.
“While higher pay significantly increased the likelihood of job acceptance, it only marginally increased perceived job satisfaction.”
From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Holt et al., 2017*
An academic experiment revealed that the prospect of active monitoring reduced potential employees' impressions of an organization's ethics as well as the likelihood of job acceptance and job satisfaction.
“One academic experiment revealed that the prospect of active monitoring reduced potential employees' impressions of an organization's ethics as well as the likelihood of job acceptance and job satisfaction (Holt et al., 2017*).”
From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Holt et al., 2017*
In the same experiment, none of the potential justifications given by an employer for monitoring changed participants' perspectives on its ethicality or their willingness to work at such a company.
“The same experiment also revealed that none of the potential justifications given by an employer for monitoring changed participants' perspectives on its ethicality or their willingness to work at such a company (Holt et al., 2017*).”
From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Holt et al., 2017*
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- Authors
- Holt, M., Lang, B., & Sutton, S. G.
- Affiliations
- University of Central Florida (US)
- Mississippi State University (US)
- Venue
- Journal of Information Systems
- Publisher
- American Accounting Association
- Published
- 2016-09-01
- Volume
- 31
- Issue
- 2
- Pages
- 107-124
- ISSN
- 0888-7985 (ISSN-L)
- 1558-7959
- OpenAlex
- W2519752026
- Cited by
- 44
- References
- 39
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 12 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 2
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Information Systems (publishedVersion)
- Journal of International Crisis and Risk Communication Research (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- employee monitoring, active monitoring, data analytics, ethical perception, organizational ethics, job acceptance, job satisfaction, wages, employee morale, workplace surveillance
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