Journal article
Big Data Techniques and Talent Management: Recommendations for Organizations and a Research Agenda for I-O Psychologists
Industrial and organizational psychology, Vol.11(2), pp.250-257
06/2018
DOI: 10.1017/iop.2018.14
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.
Details
- Title: Subtitle
- Big Data Techniques and Talent Management: Recommendations for Organizations and a Research Agenda for I-O Psychologists
- Creators
- Michael C. Campion - The University of Texas Rio Grande ValleyMichael A. Campion - Purdue University West LafayetteEmily D. Campion - Old Dominion University
- Resource Type
- Journal article
- Publication Details
- Industrial and organizational psychology, Vol.11(2), pp.250-257
- DOI
- 10.1017/iop.2018.14
- ISSN
- 1754-9426
- eISSN
- 1754-9434
- Publisher
- Cambridge University Press
- Number of pages
- 8
- Alternative title
- BIG DATA TECHNIQUES AND TALENT MANAGEMENT
- Language
- English
- Date published
- 06/2018
- Academic Unit
- Management and Entrepreneurship
- Record Identifier
- 9984380410002771
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