Vol. 3 No. 2 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

The Role of AI in Stakeholder Management: Predicting Engagement and Sentiment for Improved Communication Strategies

Sarah Thompson
PhD, Associate Professor, Department of Project Management, University of Illinois, Urbana-Champaign, Illinois, USA
Cover

Published 27-12-2023

Keywords

  • Artificial Intelligence,
  • stakeholder management,
  • engagement prediction,
  • sentiment analysis,
  • communication strategies

How to Cite

[1]
S. Thompson, “The Role of AI in Stakeholder Management: Predicting Engagement and Sentiment for Improved Communication Strategies”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 2, pp. 374–379, Dec. 2023, Accessed: Nov. 23, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/167

Abstract

Stakeholder management is crucial in project management, significantly impacting project success and stakeholder satisfaction. With the increasing complexity of projects and diverse stakeholder groups, traditional methods of stakeholder engagement and communication are becoming insufficient. This paper explores how Artificial Intelligence (AI) can enhance stakeholder management by analyzing engagement patterns and sentiment, enabling project managers to develop more effective communication strategies. AI technologies such as natural language processing (NLP), machine learning, and data analytics provide valuable insights into stakeholder behavior and preferences throughout the project lifecycle. By predicting engagement levels and sentiment, project managers can tailor their communication approaches, thereby improving stakeholder satisfaction and project outcomes. This paper discusses the current landscape of AI in stakeholder management, examines case studies demonstrating successful applications, and identifies challenges and future directions for integrating AI into stakeholder communication strategies.

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