About this Thesis

Edge Computing, an increasingly advanced technology in the modern world, has the capability to meet the growing need for sophisticated production and transportation worldwide. This research investigates the benefits and challenges associated with the adoption of edge computing for real-time data processing in the manufacturing and autonomous vehicle industries. The study focuses on exploring the factors influencing the adoption of edge computing technologies and their subsequent impact on these industries. A survey was conducted with a sample size of 1,011 participants, providing a comprehensive dataset for analysis. The data collected were analyzed using Structural Equation Modeling-Partial Least Squares to determine the relative impact of various factors on the adoption of edge computing. The analysis revealed that among the factors studied, relative advantage significantly and positively impacts the adoption of edge computing. Despite the potential benefits, the study also identifies several challenges that could hinder the widespread adoption of edge computing. These include the integration of edge computing technologies with existing systems, the need for technical expertise, and the substantial initial investment required. The findings of this research provide valuable insights for industry stakeholders, policymakers, and technology developers, offering a nuanced understanding of the role of edge computing in advancing the capabilities of the manufacturing and autonomous vehicle industries