Exploring Opportunities for Artificial Intelligence in Organization Development

The purpose of this research was to examine the utilization of artificial intelligence (AI) in organization development (OD) through a comprehensive review of existing literature. We also propose potential avenues for future research on AI in OD. We conducted a systematic literature review of 68 studies on AI in OD based on Cummings and Worley’s four OD categories (i.e., human process, human resource, strategic change, and technostructural interventions). We first summarized and analyzed key information about how AI is implemented in OD contexts, and then examined the underlying theories or theoretical frameworks utilized in OD studies focusing on AI. We examined the application of AI in OD, potential ethical concerns, and recommendations for future research and practice using AI in OD. The paper concludes with discussion and implications for research and practice.

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Publication Details

Journal
Human Resource Development Review
Published
2024-08-21
DOI
https://doi.org/10.1177/15344843241273231
Citations
8
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
4.44
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article

Exploring Opportunities for Artificial Intelligence in Organization Development

Jihye Oh, Dae Seok Chai, Jennifer Jihae Park, Sunyoung Park
8 citations
Human Resource Development Review
Supply Chain Resilience and Risk Management
4.44
article

Exploring Opportunities for Artificial Intelligence in Organization Development

Jihye Oh, Dae Seok Chai, Jennifer Jihae Park, Sunyoung Park
article en
8 citations

Abstract

The purpose of this research was to examine the utilization of artificial intelligence (AI) in organization development (OD) through a comprehensive review of existing literature. We also propose potential avenues for future research on AI in OD. We conducted a systematic literature review of 68 studies on AI in OD based on Cummings and Worley’s four OD categories (i.e., human process, human resource, strategic change, and technostructural interventions). We first summarized and analyzed key information about how AI is implemented in OD contexts, and then examined the underlying theories or theoretical frameworks utilized in OD studies focusing on AI. We examined the application of AI in OD, potential ethical concerns, and recommendations for future research and practice using AI in OD. The paper concludes with discussion and implications for research and practice.

Human Resource Development ReviewVol. 24(1)
Louisiana State University (US), University of North Carolina Wilmington (US), Texas A&M University (US), Azusa Pacific University (US)
Openalex Percentile: Top 6%
Supply Chain Resilience and Risk Management
4.44
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