AMTP Proceedings 2024
Document Type
Conference Proceeding
Publication Date
Spring 2-6-2024
Abstract
Artificial intelligence (AI) has changed business practices, including stakeholder management and organizational learning. Scant research attention has been dedicated to examining methodology to implement for workflow-aware and skillset-savvy, AI-assisted stakeholder management. This paper has conducted natural language processing (bigram) and network analysis to understand AI-assisted stakeholder management practices in the U.S. intelligent service community. Theoretical and managerial implications are discussed.
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
DOI
10.20429/amtp.2024.25
Recommended Citation
An, J. (2024). AI-assisted stakeholder management and organizational learning: Evidence from the U.S. intelligent service community. The 2024 Association of Marketing Theory and Practice Proceedings, 31. https://digitalcommons.georgiasouthern.edu/amtp-proceedings_2024/31
