Vol.15, No.2, May 2026.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

 

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

 

Byungho Choi, Jaeil Park

 

© 2026 Byungho Choi, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 15, Issue 2, Pages 2022-2034, ISSN 2217-8309, DOI: 10.18421/TEM152-89, May 2026.

 

Received: 12 May 2025.
Revised: 20 March 2026
Accepted: 27 April 2026.
Published: 27 May 2026.

 

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.

 

Keywords – Digital transformation, change management, Adkar model, data quality, PCA (principal component analysis).

 

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