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Big Data Recommendations for Industrial–Organizational Psychology

Author

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  • Guzzo, Richard A.
  • Fink, Alexis A.
  • King, Eden
  • Tonidandel, Scott
  • Landis, Ronald S.

Abstract

The world is awash in data. Data is being created and stored at ever-increasing rates through a variety of new methods and technologies. Data is accumulating in all sorts of accessible places. Much of that data is of great interest to industrial–organizational (I-O) psychologists, often in ways never anticipated by those who develop technologies and processes that generate and store that data. I-O psychologists also generate data in the course of research and practice in ways that, especially if joined with data originating from other sources, create giant datasets. This abundance of data—variables, measurements, observations, facts—can be used to inform a vast number of issues in research and practice. This is the new “big data†world, and beyond opportunities, this new world also presents challenges and potential hazards.

Suggested Citation

  • 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.
    • Handle: RePEc:cup:inorps:v:8:y:2015:i:04:p:491-508_00
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    Cited by:

    1. Indy Wijngaards & Owen C. King & Martijn J. Burger & Job Exel, 2022. "Worker Well-Being: What it Is, and how it Should Be Measured," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 795-832, April.
    2. Andreas Schwab & Zhu Zhang, 2019. "A New Methodological Frontier in Entrepreneurship Research: Big Data Studies," Entrepreneurship Theory and Practice, , vol. 43(5), pages 843-854, September.
    3. 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.

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