Fuzzy AHP analysis of Internet of Things (IoT) in enterprises

Abstract Internet of Things (IoT) is a term that has been introduced in recent years, and it defines objects being able to connect and transfer data through the internet. Although some IoT-related products are currently available in the market, there are still some IoT problems that need to be overcome, such as the security issues and lack of confidence and understanding of IoT. This study aims to analyze the influential factors in building successful IoT system for IoT-related enterprises. This study develops a rule-based decision support mechanism using fuzzy set theory and the Analytic Hierarchy Process (AHP) to evaluate the influential factors in IoT. This study finds that tangible factors (Security, Value and Connectivity) are more important than the intangible factors (Telepresence and Intelligence). Finally, this study concludes that after enterprises build a good IoT connectivity system, it is essential to combine this with good IoT security to create a successful IoT environment. Enterprises should also consider both IoT security and IoT values for the IoT products and employees' working convenience.

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