TECHNOLOGY ACCEPTANCE MODEL TO EVALUATE FACTORS AFFECTING ADOPTION OF THE INDUSTRIAL INTERNET OF THINGS (IIOT) BY THE INDUSTRIAL PROFESSIONALS

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2021-11-24

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Selçuk, Sertan

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The use of the Industrial Internet of Things (IIoT) is increasing rapidly. In this way, with the ability to collect and analyze vast amounts of data, operational costs began to decrease, product quality improved, and human errors started to decline dramatically. However, with the opening of production facilities to the Internet, many organizations have become direct targets of attackers. Security infrastructures of organizations, reliability of systems, the safety of facilities, and confidentiality of information have gained more importance than ever before. On the other hand, the interoperability of new IIOT enabled systems and their integration into existing systems turned out to be challenging due to lack of standards, heterogeneity, and insufficiently qualified resources. This study aims to identify the factors affecting the adoption of IoT technology by industries. The research includes qualitative research conducted with 11 industry experts and quantitative data analysis collected from 342 industry experts from different regions worldwide. The quantitative research results were analyzed with a conceptual model developed based on the Technology Acceptance Model using Structural Equation Modelling with Partial Least Squares (SEM-PLS). As the output of the study, two factors, perceived risk, and perceived trust, came to the fore with high effect values. The study provides the basis for solution providers, end-users, policymakers, and researchers to take measures to reduce security risks and make systems work better together.

Subject Keywords

IIoT Adoption, Industry 4.0, Smartconnected systems, Technology Acceptance Model, Industrial Internet of Things (IIoT)

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https://hdl.handle.net/11511/94952

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Graduate School of Informatics, Thesis

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Citation Formats

S. Selçuk, “TECHNOLOGY ACCEPTANCE MODEL TO EVALUATE FACTORS AFFECTING ADOPTION OF THE INDUSTRIAL INTERNET OF THINGS (IIOT) BY THE INDUSTRIAL PROFESSIONALS,” M.S. - Master of Science, Middle East Technical University, 2021.