646: Applications of NLP to Human Resource Management: From Word Dictionaries to Large Language Models (17334)

Coordinator(s)

• EC

  Emily Campion

  U. of Iowa, United States

Participant(s)

• LH

  Louis Hickman

  The Wharton School, U. of Pennsylvania, United States

Presenter(s)

• AS

  Andrew Speer

  Indiana U. - Kelley School of Business, United States

Participant(s)

• JP

  James Perrotta

  Wayne State U.
• MC

  Michael Campion

  Purdue U., United States

Presenter(s)

• AC

  Amal Chekili

  Virginia Tech

Participant(s)

• IH

  Ivan Hernandez

  Virginia Tech

Presenter(s)

• AS

  Ashley Sylvara

  Kansas State U., United States

Participant(s)

• TS

  Tianjun Sun

  Rice U., United States
• KS

  Kayden Stockdale

  Virginia Tech

Presenter(s)

• SL

  Siyi Liu

  Virginia Tech

Participant(s)

• AA

  Ammar Ansari

  Virginia Tech

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.

Presentations:

• 09:45 – 11:15 CT (GMT-5/UTC-5)

  646: NLP Dictionaries of Competencies and Personality Traits for Personnel Selection (17334)
  

  Author: Emily D. Campion – U. of Iowa

  Author: Michael A. Campion – Purdue U.
• 09:45 – 11:15 CT (GMT-5/UTC-5)

  646: Applying NLP and Generative Text Models to Understand the Dimensionality of CWBs (17334)
  

  Author: Amal Chekili – Virginia Tech

  Author: Ivan Hernandez – Virginia Tech
• 09:45 – 11:15 CT (GMT-5/UTC-5)

  646: Using Transformers to Assess Traits and States via Personality Narratives with Chatbots (17334)
  

  Author: Ashley Sylvara – Kansas State U.

  Author: Tianjun Sun – Rice U.
• 09:45 – 11:15 CT (GMT-5/UTC-5)

  646: Scoring Interviews with Large Language Models: Initial Validity Evidence (17334)
  

  Author: Kayden Stockdale – Virginia Tech

  Author: Siyi Liu – Virginia Tech

  Author: Ammar Ansari – Virginia Tech

  Author: Louis Hickman – The Wharton School, U. of Pennsylvania
• 09:45 – 11:15 CT (GMT-5/UTC-5)

  646: General-Purpose Large Language Models and Supervised Learning with Organizational Text (17334)
  

  Author: Andrew Speer – Indiana U. - Kelley School of Business

  Author: James Perrotta – Wayne State U.