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An Ethical Perspective on Emerging Forms of Ubiquitous IT-Based Control

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  • Aurélie Leclercq-Vandelannoitte

    (IESEG School of Management, LEM CNRS 9221)

Abstract

The goal of this paper is to investigate the ethical implications of emerging forms of control that have developed along with the use of ubiquitous information technology (IT). Because it can be exerted at a distance, almost anytime and anywhere, IT-based control has become more subtle, indirect, and almost invisible, with many negative side effects. Yet the issues raised by this new form of control have rarely been interpreted, treated, and framed as ethical issues in business ethics literature. Thus, a more comprehensive inquiry rooted in ethical concerns is necessary to improve understanding of this more subtle form of control, its ethical consequences, and the way ethical considerations can be taken into consideration and acted on by management. This article addresses this goal with a qualitative, exploratory case study of a telecommunications company, in which salespeople have been equipped with ubiquitous technology. The findings specify the characteristics and consequences of ubiquitous IT-based control, thereby inviting a rethinking of the ethical issues related to the privacy, autonomy, human dignity, and health of salespeople. In particular, this article highlights four ethical issues raised by the use of ubiquitous IT at work: the ambivalence of this use of ubiquitous IT at work, the subtlety of the control exerted by ubiquitous IT, the invasiveness of ubiquitous IT, and the self-reinforcement of ubiquitous IT-based control. Such issues are not often taken into account, suggesting that ethical considerations fail to enter into managerial decision making. This study directly raises questions about the intentions, responsibilities, and divisions across different categories of organizational members who participate in such control systems. It also provides useful insights into employees’ perceptions and offers guidance to managers who want to apply a professional code of ethics to the uses of ubiquitous IT.

Suggested Citation

  • Aurélie Leclercq-Vandelannoitte, 2017. "An Ethical Perspective on Emerging Forms of Ubiquitous IT-Based Control," Journal of Business Ethics, Springer, vol. 142(1), pages 139-154, April.
  • Handle: RePEc:kap:jbuset:v:142:y:2017:i:1:d:10.1007_s10551-015-2708-z
    DOI: 10.1007/s10551-015-2708-z
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    References listed on IDEAS

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    1. Blake E. Ashforth & Kristie M. Rogers & Michael G. Pratt & Camille Pradies, 2014. "Ambivalence in Organizations: A Multilevel Approach," Organization Science, INFORMS, vol. 25(5), pages 1453-1478, October.
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    Cited by:

    1. Maria Figueroa-Armijos & Brent B. Clark & Serge P. da Motta Veiga, 2023. "Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence," Journal of Business Ethics, Springer, vol. 186(1), pages 179-197, August.
    2. Ulrich Leicht-Deobald & Thorsten Busch & Christoph Schank & Antoinette Weibel & Simon Schafheitle & Isabelle Wildhaber & Gabriel Kasper, 2019. "The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity," Journal of Business Ethics, Springer, vol. 160(2), pages 377-392, December.
    3. Christoph Endenich & Rouven Trapp, 2020. "Ethical Implications of Management Accounting and Control: A Systematic Review of the Contributions from the Journal of Business Ethics," Journal of Business Ethics, Springer, vol. 163(2), pages 309-328, May.
    4. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
    5. Premilla D’Cruz & Shuili Du & Ernesto Noronha & K. Praveen Parboteeah & Hannah Trittin-Ulbrich & Glen Whelan, 2022. "Technology, Megatrends and Work: Thoughts on the Future of Business Ethics," Journal of Business Ethics, Springer, vol. 180(3), pages 879-902, October.
    6. Saïd Assar & Christine Balagué & Loréa Baïada-Hirèche, 2020. "EISAI: Ethical Information System based on Artificial Intelligence," Post-Print hal-03123998, HAL.

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