TY  - CHAP
AB  - Abstract This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.
VL  - 38
SN  - 978-1-80043-076-1, 978-1-80043-075-4/0742-7301
DO  - 10.1108/S0742-730120200000038010
UR  - https://doi.org/10.1108/S0742-730120200000038010
AU  - Campion Emily D.
AU  - Campion Michael A.
ED  - M. Ronald Buckley
ED  - Anthony R. Wheeler
ED  - John E. Baur
ED  - Jonathon R. B. Halbesleben
PY  - 2020
Y1  - 2020/01/01
TI  - Using Computer-assisted Text Analysis (CATA) to Inform Employment Decisions: Approaches, Software, and Findings
T2  - Research in Personnel and Human Resources Management
T3  - Research in Personnel and Human Resources Management
PB  - Emerald Publishing Limited
SP  - 285
EP  - 325
Y2  - 2024/04/25
ER  -