Employer or Big Brother? Data Analytics and Incursions into Workers’ Personal Lives

Leora F. Eisenstadt ()
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Leora F. Eisenstadt: Temple University

Chapter Chapter 8 in Performance Appraisal in Modern Employment Relations, 2020, pp 165-190 from Springer

Abstract: Abstract The role of data and predictive analytics in the U.S. workplace is growing exponentially. Data can be collected on employees’ off-duty behaviors, hobbies, consumer preferences and physical and emotional health and then used to make employment decisions. This chapter examines employers’ new data-based incursions into their employee’s personal lives, the impact of these data analytics programs on the divide between work and non-work spheres and the detrimental effect this technology may have on the financial, legal and health-related well-being of employers and workers.

Keywords: Data analytics; Predictive analytics; Work/non-work divide; Scope of employment; Employer liability; Work-life balance (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-26538-0_8

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DOI: 10.1007/978-3-030-26538-0_8

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