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

Language

English

Release Date

February 2029

Length of Campus-only Access

5 years

Access Status

Doctoral Dissertation (Campus-only Access)

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Restricted to the UCF community until February 2029; it will then be open access.

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