Exploring the Chemistry of Datafication Control: Pathways for a Trust-Enabling Use of Smart Workplace Technology

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Abstract

Organizations experiment with how smart technology can be used to manage employees since before COVID-19 and the possibilities seem almost limitless. However, the question of how this can be achieved without impairing the so-needed trust inside organizations is yet to answer. Hence, in this study, we employ a crisp-set QCA to investigate what trust-enabling datafication control configurations look like. Drawing on unique survey data from Switzerland, we show that datafication control can go hand in hand with trust if organizations make efforts for employee-centricity. Further, we can reveal four distinct ways of how organizations can implement employee-centricity to mitigate possible trust-impairing signals that stem from augmented data-gathering and analysis capabilities. Our results contribute to the still heated debate on the duality of control and trust. They also help leaders to navigate through the unmanageable multitude of possible and even trust-toxic combinations.
Original languageEnglish
Title of host publicationProceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
EditorsTung X. Bui
PublisherUniversity of Hawaii at Manoa
Pages5861-5870
Number of pages10
ISBN (Electronic)9780998133157
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event55th Hawaii International Conference on System Sciences, HICSS 2022: Human-centricity in a Sustainable Digital Economy - Hyatt Regency Maui, Maui, United States
Duration: 4 Jan 20227 Jan 2022
Conference number: 55

Conference

Conference55th Hawaii International Conference on System Sciences, HICSS 2022
Abbreviated titleHICSS 2022
Country/TerritoryUnited States
CityMaui
Period4/01/227/01/22

Keywords

  • Configurational theory
  • Datafication
  • Organizational control
  • Organizational trust
  • Qualitative Comparative Analysis (QCA)

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