Abstract
Applications of NLP to Human Resource Management: From Word Dictionaries to Large Language Models
Academy of Management Annual Meeting Proceedings, Vol.2024(1)
08/2024
DOI: 10.5465/AMPROC.2024.17334symposium
Abstract
Abstract only
A recent slew of scholarship in organizational psychology and management journals on the use of artificial intelligence (AI) in human resource management (HRM) is evidence of its growing importance in theory and practice (e.g., Campion & Campion, 2023; Campion et al., 2023; Fan et al., 2023; Hernandez et al., 2023; Hickman et al., 2022; Koenig et al., 2023; Landers et al., 2023; Speer et al., 2023; Zhang et al., 2023). Advancements such as large language models (LLMs; FALCON, GPT, LLaMa, Bard, Claude, etc.) have made the use of AI more accessible to non-data scientists and enabled widespread exploration of how to leverage these tools at work. While this is an exciting development, as researchers in the selection space, it is our responsibility to be able to understand and explain how we arrive at employment-related decisions powered by AI tools. As such, in the proposed symposium, we assess a variety of uses of natural language processing (NLP) applications. We present research on the more rudimentary methods of word dictionaries that are cost-effective, easy to understand, and relatively easy to develop; and we also present research on LLMs and how we can use these to improve resource intensive HRM processes.
Details
- Title: Subtitle
- Applications of NLP to Human Resource Management: From Word Dictionaries to Large Language Models
- Creators
- Emily D. Campion - U. of IowaMichael A Campion - Purdue University SystemAmal Chekili - Virginia TechIvan Hernandez - Virginia TechAshley Sylvara - Kansas State UniversityTianjun Sun - Rice UniversityKayden Stockdale - Virginia TechSiyi Liu - Virginia TechAmmar Ansari - Virginia TechLouis Hickman - William P. Wharton TrustAndrew Speer - Indiana UniversityJames Perrotta - Wayne State College
- Resource Type
- Abstract
- Publication Details
- Academy of Management Annual Meeting Proceedings, Vol.2024(1)
- DOI
- 10.5465/AMPROC.2024.17334symposium
- eISSN
- 2151-6561
- Language
- English
- Date published
- 08/2024
- Academic Unit
- Management and Entrepreneurship
- Record Identifier
- 9984656612202771
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