Leveraging Artificial Intelligence for Predictive Change Management in Information Systems Projects
Keywords:
Artificial Intelligence, Predictive Change Management, Information systemsAbstract
This research paper explores the application of artificial intelligence (AI) in predictive change management for information systems (IS) projects. Change management is a critical aspect of IS project success, yet it remains challenging due to the complex and dynamic nature of organizational environments. This study investigates how AI technologies can be leveraged to predict and proactively manage change in IS projects, potentially improving project outcomes and reducing resistance to change. This research builds on existing literature and methodologies, particularly inspired by the work of Ambati et al. (2020), which examines factors influencing AI adoption in organizations. The study employs a mixed-methods approach, combining quantitative data analysis with qualitative case studies to evaluate the effectiveness of AI-driven change management strategies. Our findings suggest that AI can significantly enhance change management effectiveness by providing data-driven insights, identifying potential risks, and enabling personalized change strategies. However, successful implementation requires addressing technical, organizational, and ethical considerations. This research contributes to the growing body of knowledge on AI applications in project management and offers practical implications for IS project managers and change management practitioners.
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