Abstract
Based on the Technology Acceptance Model (TAM), the study explores the success factors of adopting Advanced Manufacturing Technology (AMT) for the Electrical Vehicles (EVs) industry in Saudi Arabia. The study assesses the impact of eight factors on AMT adoption and implementation success. The dimensions include Training & Education, Planning, Management, Technology, Business, Economic, Policies & Regulations, and Social. The study analyzes the sample including people with careers related to advanced manufacturing in Saudi Arabia, either in the public sector, private sector, industrial sector, and academia. Furthermore, an online questionnaire was used to collect data from the participants. Additionally, a Systematic Literature Review (SLR) was conducted to analyze the existing literature in addition to the utilization of TAM for data analysis. This study aims to evaluate the readiness of the Saudi industrial sector to adopt EVs manufacturing technologies. Moreover, this study is expected to use a reasonable sample size for analysis purposes which can result in solid conclusions and practical recommendations.
Notes
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Graduation Date
2023
Semester
Summer
Advisor
Karwowski, Waldemar
Degree
Doctor of Philosophy (Ph.D.)
College
College of Engineering and Computer Science
Department
Industrial Engineering and Management Systems
Degree Program
Industrial Engineering
Identifier
CFE0009875; DP0028408
URL
https://purls.library.ucf.edu/go/DP0028408
Language
English
Release Date
February 2029
Length of Campus-only Access
5 years
Access Status
Doctoral Dissertation (Campus-only Access)
STARS Citation
Al Fatais, Abdullah, "Exploring Success Factors of Adopting Advanced Manufacturing Technology for Electrical Vehicles Industry in Saudi Arabia Applying the Technology Acceptance Model (TAM)" (2023). Electronic Theses and Dissertations, 2020-2023. 1904.
https://stars.library.ucf.edu/etd2020/1904
Restricted to the UCF community until February 2029; it will then be open access.