Start Date
17-10-2025 2:00 PM
End Date
17-10-2025 2:30 PM
Location
MH358
Submission Type
Abstract
Track
Strategy
Abstract
Digital transformation (DT) has been recognized as a driver of enterprise performance, enabling organizations to enhance operational efficiency, foster innovation, and maintain competitive advantage. This study aims to identify success factors of DT initiatives by examining organizational digital readiness, digital value mapping, and implementation tactics. The empirical study involved data collection at two points in time: in 2022, prior to the widespread popularity of generative AI (genAI) such as ChatGPT, and in 2024, amid genAI's integration into business practices. This study, therefore, offers timely insights into how organizations navigate the evolving landscape of digital transformation.
Included in
Enterprise Digital Transformation: A Study of Success Factors
MH358
Digital transformation (DT) has been recognized as a driver of enterprise performance, enabling organizations to enhance operational efficiency, foster innovation, and maintain competitive advantage. This study aims to identify success factors of DT initiatives by examining organizational digital readiness, digital value mapping, and implementation tactics. The empirical study involved data collection at two points in time: in 2022, prior to the widespread popularity of generative AI (genAI) such as ChatGPT, and in 2024, amid genAI's integration into business practices. This study, therefore, offers timely insights into how organizations navigate the evolving landscape of digital transformation.
