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Developing human resource data risk management in the age of big data

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  • Calvard, Thomas Stephen
  • Jeske, Debora

Abstract

In recent years, a great deal of attention has been devoted to trying to understand the risk challenges that arise in information management, and most recently, challenges that arise due to big data. In this article, the complexities of big data for employers are explored, drawing on a risk management on Human Resources (HR) perspective and normal accident theory (NAT) to illustrate the evolving characteristics of these complexities. The paper concludes with a series of recommendations that focus on education, design in data collection, and risk management, in the hope that these recommendations enable employers to better anticipate and address emerging big data challenges.

Suggested Citation

  • Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
    • Handle: RePEc:eee:ininma:v:43:y:2018:i:c:p:159-164
    DOI: 10.1016/j.ijinfomgt.2018.07.011
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    1. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 2017. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 19(2), pages 197-212, April.
    2. Guzzo, Richard A. & Fink, Alexis A. & King, Eden & Tonidandel, Scott & Landis, Ronald S., 2015. "Big Data Recommendations for Industrial–Organizational Psychology," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 491-508, December.
    3. Karim, Michael N. & Willford, Jon C. & Behrend, Tara S., 2015. "Big Data, Little Individual: Considering the Human Side of Big Data," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 527-533, December.
    4. Frizzo-Barker, Julie & Chow-White, Peter A. & Mozafari, Maryam & Ha, Dung, 2016. "An empirical study of the rise of big data in business scholarship," International Journal of Information Management, Elsevier, vol. 36(3), pages 403-413.
    5. Nick Pidgeon, 2011. "In retrospect: Normal Accidents," Nature, Nature, vol. 477(7365), pages 404-405, September.
    6. Krishnamurthy, Rashmi & Awazu, Yukika, 2016. "Liberating data for public value: The case of Data.gov," International Journal of Information Management, Elsevier, vol. 36(4), pages 668-672.
    7. Illingworth, A. James, 2015. "Big Data in I-O Psychology: Privacy Considerations and Discriminatory Algorithms," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 567-575, December.
    8. Yaqoob, Ibrar & Hashem, Ibrahim Abaker Targio & Gani, Abdullah & Mokhtar, Salimah & Ahmed, Ejaz & Anuar, Nor Badrul & Vasilakos, Athanasios V., 2016. "Big data: From beginning to future," International Journal of Information Management, Elsevier, vol. 36(6), pages 1231-1247.
    9. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    10. Whelan, Thomas J. & DuVernet, Amy M., 2015. "The Big Duplicity of Big Data," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 509-515, December.
    11. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    12. Kwon, Ohbyung & Lee, Namyeon & Shin, Bongsik, 2014. "Data quality management, data usage experience and acquisition intention of big data analytics," International Journal of Information Management, Elsevier, vol. 34(3), pages 387-394.
    13. Ducey, Adam J. & Guenole, Nigel & Weiner, Sara P. & Herleman, Hailey A. & Gibby, Robert E. & Delany, Tanya, 2015. "I-Os in the Vanguard of Big Data Analytics and Privacy," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 555-563, December.
    14. Grossman, Robert L., 2018. "A framework for evaluating the analytic maturity of an organization," International Journal of Information Management, Elsevier, vol. 38(1), pages 45-51.
    15. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    16. Braun, Michael T. & Kuljanin, Goran, 2015. "Big Data and the Challenge of Construct Validity," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 521-527, December.
    17. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    18. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 0. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    19. Soomro, Zahoor Ahmed & Shah, Mahmood Hussain & Ahmed, Javed, 2016. "Information security management needs more holistic approach: A literature review," International Journal of Information Management, Elsevier, vol. 36(2), pages 215-225.
    20. Dekas, Kathryn & McCune, Elizabeth A., 2015. "Conducting Ethical Research With Big and Small Data: Key Questions for Practitioners," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(4), pages 563-567, December.
    21. Raguseo, Elisabetta, 2018. "Big data technologies: An empirical investigation on their adoption, benefits and risks for companies," International Journal of Information Management, Elsevier, vol. 38(1), pages 187-195.
    22. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
    23. Kayes, D. Christopher & Stirling, David & Nielsen, Tjai M., 2007. "Building organizational integrity," Business Horizons, Elsevier, vol. 50(1), pages 61-70.
    24. Ferguson, Stuart & Thornley, Clare & Gibb, Forbes, 2016. "Beyond codes of ethics: how library and information professionals navigate ethical dilemmas in a complex and dynamic information environment," International Journal of Information Management, Elsevier, vol. 36(4), pages 543-556.
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    Cited by:

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    3. Na Li & Xiaohong Wang & Shaopeng Zhang, 2023. "Effects of digitization on enterprise growth performance: Mediating role of strategic change and moderating role of dynamic capability," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1040-1053, March.
    4. Clotilde Coron, 2021. "Quantifying Human Resource Management: A Literature Review," Post-Print halshs-03212718, HAL.
    5. Magdalena Graczyk-Kucharska & Robert Olszewski & Gerhard-Wilhelm Weber, 2023. "The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 205-237, March.

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