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The increasing digitalization and datafication of all aspects of our private and professional lives have led to widespread digital surveillance (e.g., Zorina et al. 2021 ). The roots of digital surveillance lie in the growing share of our everyday behavior that can be turned into quantifiable data objects, thus making it visible to and analyzable by others (Leonardi and Treem 2020 ). Recent research focuses attention on the implications of digital surveillance in organizations , as an increasingly large part of employee behavior is tracked and monitored as they use a variety of digital technologies to perform their work (Bernstein 2017 ; De Vaujany et al. 2021 ; Mettler 2023 ; Zorina et al. 2021 ). For instance, Gartner Inc. ( 2019 ) reports that in a survey of 239 large corporations, more than 50% use some type of nontraditional monitoring techniques, including the analysis of emails and social-media messages, or the collection of biometric data to determine how employees use their workspace (also see e.g., Ball 2021 ). Digital surveillance in organizations is tied to the assumption that scientific management can be embraced at new levels because the increasing amount of information also increases the means to monitor and improve efficiency and effectiveness (Bernstein 2017 ; Zorina et al. 2021 ).
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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