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Big Data and the disillusioned employee: Inside the ethical Internet of Things

Author

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  • Randolph-Seng, Brandon
  • Atinc, Yasemin
  • Bui, Son
  • Malik, Zaki

Abstract

Past research and theory on a company's handling of big data has focused either on the external stakeholder side or corporate ends for internal stakeholders. In this paper we present a new theoretical model that extends previous theory and research done in the area of big data, ethics and external stakeholders (i.e., customers) to the realm of internal stakeholder perceptions (i.e., employees). We posit that our focus on internal stakeholder outcomes better captures the multidimensionality of salient stakeholders, allowing for a more holistic corporate decision-making process consistent with current conceptions of stakeholder theory. Our model provides direction on how big data may be properly maintained from the inside out, in order to avoid negative internal stakeholder perceptions and corresponding unethical organizational behaviors.

Suggested Citation

  • Randolph-Seng, Brandon & Atinc, Yasemin & Bui, Son & Malik, Zaki, 2024. "Big Data and the disillusioned employee: Inside the ethical Internet of Things," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:tefoso:v:201:y:2024:i:c:s0040162524000672
    DOI: 10.1016/j.techfore.2024.123271
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    Keywords

    Big Data; Ethics; Employees;
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