Ethical Framework for Iot in People Analytics: Risks and Opportunities

Authors

  • Mr. Nishant Gaur Research Scholar, Delhi School of Management, Delhi Technological University, Delhi
  • Dr. Vikas Gupta Assistant Professor, Delhi School of Management, Delhi Technological University, Delhi

Keywords:

Ethics, Internet of Things, People Analytics, PRIMES, Human Resource Management.

Abstract

Purpose: This research studies the ethical perspective concerning internet of things (IoT) placement in People Analytics. To provide researchers and professionals with ethical framework for IoT (internet of things) in people analytics. .Also to identify associated risk and opportunities.

Design/methodology/approach: Initially, the applicability of Chuck Huff’s original Personality, Integration of morality, Moral Ecology and skills Model (PRIMES) is studied from context of IoT in people analytics. Secondly consideration of ethical issues in addition to PRIMES model are proposed based on limited scope of PRIMES in IoT and people analytics.

Findings: The original PRIMES Model can be utilized in initial stages as ethical guiding framework for individuals employed in personnel department but it lacks coverage of ethical issues from perspective of IoT in people analytics. To address the ethical dimensions from IoT in people analytics viewpoint, additional ethical issues are addressed.

Research limitations: The novel ethical framework for IoT in people analytics required further authentication and validation along with empirical testing in continuously emerging IoT and people analytics ecosystem.

Implications: Considering the paucity of ethical frameworks in emerging area of IoT in people analytics, this study provides the ethical model in the area of IoT in people analytics for the researchers and practitioners. This framework can further be tested and used practically and can also be considered for theoretical development.

Originality/Value: There is apparent deficiency of ethical norms in area of IoT in people analytics, this study contributes to the area by providing extended PRIMES Model as a preliminary ethical framework for IoT in people analytics.

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References

. Agarwal, D., Bersin, J., Lahiri, G., Schwartz, J. and Volini, E. (2018), “People data: how far is too far?, available at: https://www2.deloitte.com/za/en/pages/human-capital/articles/people-data-how-far is-too-far.html

. Ajunwa, I., Crawford, K. and Schultz, J. (2017), “Limitless worker surveillance”, California Law Review, Vol. 105 No. 3, pp. 735-776.

. Bryant. (2006). Knowledge management: The ethics of the Agora or the mechanisms of the market? In the proceedings of 39th Annual Hawaii International Conference on System Sciences, January 4-7, 2006, Computer Society Press.

. Calvard, T.S. and Jeske, D. (2018), “Developing human resource data risk management in the age of big data”, International Journal of Information Management, Vol. 43, pp. 159-164.

. Cardador, M.T., Northcraft, G.B. and Whicker, J. (2017), “A theory of work gamification: something old, something new, something borrowed, something cool?”, Human Resource Management Review, Vol. 27 No. 2, pp. 353-365.

. Conti, M., Dehghantanha, A., Franke, K. and Watson, S. (2018), “Internet of Things security and forensics: challenges and opportunities”, Future Generation Computer Systems, Vol. 78 No. 2, pp. 544-546, doi: 10.1016/j.future.2017.07.060.

. Dastin, J. (2018), “Amazon scraps secret AI recruiting tool that showed bias against women”, Reuters, 9 October, available at: https://www.reuters.com/article/us-amazon-com-jobs-automation insight-idUSKCN1MK08G

. Edwards, M.R. and Edwards, K. (2016), Predictive HR Analytics: Mastering the HR Metric, Kogan Page, New York, NY.

. Fitz-Enz, Jac and Mattox, J.R. II (2014), Predictive Analytics for Human Resources, John Wiley & Sons, Hoboken, New Jersey.

. Gaur Bhawna, Shukla Kumar Vinod and Verma Amit (2019), “Strengthening People Analytics through Wearable IOT Device for Real-Time Data Collection”, 2019 International Conference on Automation, Computational and Technology Management (ICACTM) Amity University, 978-1-5386-8010-0/19/$31.00 ©2019 IEEE.

. Giaretta, A., Balasubramaniam, S. and Conti, M. (2016), “Security vulnerabilities and counter measures for target localisation in bio-nano things communication networks”, IEEE Transactions on Information Forensics and Security, Vol. 11 No. 4, pp. 665-676, doi: 10.1109/ TIFS.2015.2505632.

. Green, D. and Chidambaram, A. (2018), The Role of the People Analytics Leader - Part 2: Creating Organisational Culture and Shaping the Future, myHRfuture, 25 February, available at: https:// www.myhrfuture.com/blog/2018/2/25/the-role-of-the-people-analytics-leader-part-2-creating organisational-culture-shaping-the-future.

. Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M. (2013), “Internet of Things (IoT): a vision, architectural elements, and future directions”, Future Generation Computer Systems, Vol. 29 No. 7, pp. 1645-1660, doi: 10.1016/j.future.2013.01.010.

. Guenole, N., Feinzig, S. and Green, D. (2018), “The grey area: ethical dilemmas in HR analytics. Perspectives from the global workforce”, IBM, available at: https://www.ibm.com/watson/ talent/talent-management-institute/ethical-dilemmas-hr-analytics/hr-ethical-dilemmas.pdf.

. Helmore, E. (2019), “Hundreds of Google employees urge company to resist support for Ice”, The Guardian, 16 August, available at: https://www.theguardian.com/technology/2019/aug/16/ hundreds-of-google-employees-urge-company-to-resist-support-for-ice#:~:text=Hundreds% 20of%20Google%20employees%20urge%20company%20to%20resist%20support%20for% 20Ice, This%20article%20is&text=A%20group%20of%20employees%20called,Immigration

. %20and%20Customs%20Enforcement%20contract High, P. (2019), “Former Google HR chief Laszlo Bock aims to revolutionize people management with Humu”, Forbes, 9 September, available at: https://www.forbes.com/sites/peterhigh/2019/ 09/09/former-google-hr-chief-laszlo- bock-aims-to-revolutionize-people-management-with humu/

. Hoyer, V., Janner, T., Mayer, P., Raus, M. and Schroth, C. (2006), “Small and medium enterprise’s benefits of next generation e-business platforms”, The Business Review, Cambridge, Vol. 10 No. 2, p. 8.

. Holeman, I., Cookson, T.P. and Pagliari, C. (2016), “Digital technology for health sector governance in low and middle income countries: a scoping review”, Journal of Global Health, Vol. 6 No. 2, pp. 1-11.

. Huff, C.W., & Barnard, L. (2008). Good computing: Life stories of moral exemplars in the computing profession. IEEE Computers and Society, 28(3), 47-54.

. Huff, C. (2010). What does knowledge have to do with ethics.

. Jacobs, K. (2017), “The ethics of gathering employee data”, HR Magazine, 21 March, available at: https://www.hrmagazine.co.uk/content/features/the-ethics-of-gathering-employee-data

. Jin, J., Gubbi, J., Marusic, S. and Palaniswami, M. (2014), “An information framework for creating a smart city through internet of things”, IEEE Internet of Things Journal, Vol. 1 No. 2, pp. 112-121, doi: 10.1109/JIOT.2013.2296516.

. Jones, D., Molitor, D. and Reif, J. (2019), “What do workplace wellness programs do? Evidence from the Illinois workplace wellness study”, The Quarterly Journal of Economics, Vol. 134 No. 4, pp. 1747-1791.

. Kim, P. (2017), “Data-driven discrimination at work”, William and Mary Law Review, Vol. 48, pp. 857-936.

. Kirke, M. (2019), “AI in HR: the good, the bad and the scary”, The People Space, 29 May, available at:

. https://www.thepeoplespace.com/leaders/articles/ai-hr-good-bad-and-scary

. Land, F., & Urooj, A. (2003). The ethics of knowledge management. International Journal of Knowledge Management, 3(1), 1-9.

. Manyika, J. (2019), “Tackling bias in artificial intelligence (and in humans)”, McKinsey, 6 June, available at: https://www.mckinsey.com/featured-insights/artificial-intelligence/ tackling-bias-in artificial-intelligence-and-in humans#:~:text=AI%20can%20help%20 reduce%20bias,bake% 20in%20and%20scale%20bias&text=In%20many% 20cases%2C% 20AI%20can,on%20the% 20training%20data%20used.

. Nunn, J. (2018), “How AI is transforming HR departments”, Forbes, 9 May, available at: https://www. forbes.com/sites/forbestechcouncil/2018/05/09/how-ai-is-transforming-hr-departments/ (accessed 3 March 2021).

. Thoegersen L. Jennifer and Borlund Pia (2021), “Researcher attitudes toward data sharing in public data repositories: a meta-evaluation of studies on researcher data sharing”, Journal of Documentation Vol. 78 No. 7, 2022 pp. 1-17 Emerald Publishing Limited.

. Tursunbayeva Aizhan , Pagliari Claudia and Lauro Di Stefano and Antonelli Gilda (2021), “The ethics of people analytics: risks, opportunities and recommendations” Italy Personnel Review Vol. 51 No. 3, 2022 pp. 900-921.

. Tursunbayeva, A., Bunduchi, R., Franco, M. and Pagliari, C. (2016), “Human resource information systems in health care: a systematic evidence review”, Journal of the American Medical Informatics Association, Vol. 24 No. 3, pp. 633-654.

. Vermanen, M. and Harkke, V. (2019), “Findings from multipurpose IoT solution experimentations in Finnish SMEs: common expectations and challenges”, Proceedings of the 52nd Hawaii International Conference on System Sciences, pp. 5246-5255, doi: 10.24251/HICSS.2019.631.

. Vermanen Mikko, Rantanen M.Minna and Harkke Ville (2021) ”Ethical framework for IoT deployment in SMEs: individual perspective”, Internet Research Vol. 32 No. 7, 2022 pp. 185-201 Emerald Publishing Limited.

. Wortmann, F. and Fleuchter, K. (2015), “Internet of things”, Business and Information Systems Engineering, Vol. 57 No. 3, pp. 221-224, doi: 10.1007/s12599-015-0383-3.

Connectivity of Basic HRM Functions with IoT Devices

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Published

17.10.2022

How to Cite

Mr. Nishant Gaur, & Dr. Vikas Gupta. (2022). Ethical Framework for Iot in People Analytics: Risks and Opportunities. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 376–387. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2303

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Research Article