Document Type
Editorial
Publication Date
6-2018
DOI
10.1017/iop.2018.14
Publication Title
Industrial and Organizational Psychology-Perspectives on Science and Practice
Volume
11
Issue
2
Pages
250-257
Abstract
Big data and its applicability to talent management (TM) as defined by Rotolo et al. (2018) has already been recognized by many outside the field of I-O psychology. The market is beginning to include offerings from vendors for products that use some combination of big data techniques to process vast amounts of data or previously unanalyzable data, which they claim will improve components of TM for organizations. Unfortunately, as noted in the focal article, this “frontier” issue makes it difficult for organizations to separate the wheat from the chaff. Further, with few exceptions, I-O psychology is just beginning to inform organizations about whether and how big data can be used for the purposes of TM.
Original Publication Citation
Campion, M. C., Campion, M. A., & Campion, E. D. (2018). Big data techniques and talent management: Recommendations for organizations and a research agenda for I-O psychologists. Industrial and Organizational Psychology: Perspectives on Science and Practice, 11(2), 250-257. doi:10.1017/iop.2018.14
Repository Citation
Campion, Michael C.; Campion, Michael A.; and Campion, Emily D., "Big Data Techniques and Talent Management: Recommendations for Organizations and a Research Agenda for I-O Psychologists" (2018). Management Faculty Publications. 31.
https://digitalcommons.odu.edu/management_fac_pubs/31
Included in
Business Administration, Management, and Operations Commons, Industrial and Organizational Psychology Commons, Organizational Behavior and Theory Commons
Comments
Web of Science: "Free fuul-text from publisher."
COPYRIGHT: © Society for Industrial and Organizational Psychology 2018.