A Study on the Adoption of Digital Tools and Change Management Strategies in the Semiconductor Equipment Installation Process
A Study on the Adoption of Digital Tools and Change Management Strategies in the Semiconductor Equipment Installation Process

Summary/Abstract: The paper investigates the adoption of digital tools and the implementation of change management practices in the semiconductor equipment installation process. Drawing from a case study at Company A, the research analyzes challenges associated with poor data quality and user resistance encountered during the implementation of a digital checklist system. To address these issues, an eight-item data quality checklist was designed and integrated with the ADKAR change model (comprising Awareness, Desire, Knowledge, Ability, Reinforcement). The checklist data were analyzed using principal component analysis (PCA) to identify usage patterns and to cluster users based on their behaviors. Utilizing these insights, customized change management strategies were proposed for each user group. The study highlights that aligning data-driven insights with structured change management methodologies can significantly enhance the adoption of digital tools and improve operational data quality within semiconductor manufacturing environments.

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