سيدمهدي ميرحسيني

This study was conducted with the aim of identifying an‎d analyzing the key factors influencing the adoption of Internet of Things (IoT) technology in Iran’s oil industry an‎d proposing an indigenous an‎d practical conceptual model for the effective implementation of this technology. As one of the core technologies of the Fourth Industrial Revolution, the Internet of Things—through enabling intelligent connectivity of equipment, real-time data collection an‎d analysis, an‎d continuous monitoring of processes—has the potential to transform strategic industries such as the oil sector. By improving operational efficiency, enhancing safety, an‎d optimizing resource management, this technology can play a significant role in boosting the performance of the industry. Given the critical position of the oil industry in Iran’s economy an‎d existing challenges such as international sanctions, infrastructure limitations, an‎d security concerns, accurately identifying the factors affecting IoT adoption an‎d prioritizing the various segments of the industry for its implementation is of great importance. This research presents a comprehensive model tailored to the local conditions of Iran’s oil industry to support the improvement of managerial an‎d operational processes. The research method was descriptive–correlational an‎d applied in nature, an‎d data were collected through questionnaires an‎d semi-structured interviews with 102 managers, experts, an‎d employees in the oil industry. For data analysis, exploratory factor analysis an‎d the Analytic Hierarchy Process (AHP) were employed using SPSS version 27 an‎d Expert Choice version 11. Based on the results of the exploratory factor analysis, seven main factors were identified as key determinants of IoT adoption: infrastructure an‎d organizational readiness; employee training, skills, an‎d productivity; innovation capacity an‎d organizational culture; trust an‎d information security; organizational structure; organizational resistance; an‎d political an‎d environmental factors. The results of the Friedman test indicated that among these factors, political an‎d environmental factors held the highest importance an‎d played a central role in IoT adoption. Employee training, skills, an‎d productivity ranked second; trust an‎d information security ranked third; organizational resistance ranked fourth; organizational structure ranked fifth; innovation capacity an‎d organizational culture ranked sixth; an‎d infrastructure an‎d organizational readiness ranked last. Furthermore, the Analytic Hierarchy Process revealed that the production an‎d operations sector, due to its economic benefits an‎d operational readiness, holds the highest priority for IoT implementation.

فناوري اينترنت اشيا , پذيرش فناوري , زنجيره تامين صنعت نفت

Internet of Things (IoT) technology , Technology adoption , Oil Industry Supply Chain

seyed mahdi mirhosseini

mohammad fathian