Akademik Veri Yönetim Sistemi
KNOWLEDGE-BASED SYSTEMS, cilt.330, 2025 (SCI-Expanded, Scopus)
Objective: The proliferation of high-tech hardware and software platforms, the expansion of communication channels, and the development of cutting-edge data analysis tools have all contributed to the rapid rise of the IoT, which is defined as a network of interconnected devices that monitor environmental variables. One of the primary concepts behind the IoT is to enable objects that generate and/or collect data to interconnect through technologies such as radio frequency identification, actuators, sensors, and mobile phones. This study presents an integrated multi-criteria decision-making method based on an interval-valued Fermatean fuzzy set. This study aims to identify the critical barriers that prevent enterprises from adopting the IoT. Method: We conducted study to develop a framework for assessing barriers to IoT adoption. In this study, an integrated decision support system that includes CRITIC, PIPRECIA, and MARCOS methods based on interval-valued Fermatean fuzzy sets is proposed as a new method. Results: From the literature, we identified 22 main barriers to IoT adoption in companies. Data collected from companies affiliated with the Istanbul Chamber of Commerce in four different sectors (general, information technologies, pharmaceuticals and medical devices, and logistics) were evaluated using the proposed decision support method. Discussion and Conclusion: The performance was then assessed and validated using a sensitivity analysis. For the analysis of adoption barriers for IoT, we conducted a robustness analysis using interval-valued Fermatean fuzzy-COPRAS. The results were consistent with those obtained using the interval-valued Fermatean fuzzy set-based algorithm. The study's findings and their implications for lawmakers, businesspeople, technologists, and practitioners are examined. In the future, these stakeholders can focus on addressing these deficiencies and implementing long-term solutions to improve the overall effectiveness of the system.