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Internet of Things Challenges and Barriers Model in Iran's Energy Industry Supply Chain: Fuzzy Total Interpretive Structural Modeling Approach
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Zahrasadat Hasheminasab   , Esmaeil Mazroui Nasrabadi * , Zahra Sadeqi-Arani |
| Department of Business Administration, Faculty of Financial Science, Management and Entrepreneurship , drmazroui@kashanu.ac.ir |
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Abstract: (203 Views) |
One of the most important technologies that has attracted the attention of researchers and industries in recent years is the Internet of Things (IoT). The energy industry is considered one of the main and important industries of every country, and innovation in this sector is necessary due to its numerous benefits. Despite the importance of IoT technology and the energy industry, studies indicate the weakness of this industry in implementing the technology, and therefore it is necessary to identify and model the challenges and barriers. This research was conducted in two phases with the aim of identifying and modeling the challenges and barriers of implementing the Internet of Things in the supply chain of the energy industry in Iran. In the first phase, the challenges were identified by reviewing the literature and were reviewed and completed by 14 Iranian energy industry experts using the Delphi method. In the second phase, after reviewing the views of 10 experts, the challenge's model was drawn using the fuzzy total interpretive structural modeling method. The data collection tool was a questionnaire, and Purposive and snowball sampling methods were used. Finally, 67 challenges of the implementation of Internet of Things in the supply chain of Iran's energy industry were identified, and these challenges were grouped into 17 categories. . The results of challenges modeling show that the challenges of governance conditions, government standards and regulations, lack of strategic and perceptive management, are the most important challenges of the Internet of Things in the supply chain of Iran's energy industry and should be considered for the implementation of the technology.
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| Keywords: Energy industry, Internet of Things (IoT), Supply Chain, Challenge, Fuzzy Total Interpretative Structural model |
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Full-Text [PDF 673 kb]
(81 Downloads)
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Type of Study: Research |
Subject:
Smart Grids
Received: 2023/11/25 | Accepted: 2024/08/5 | Published: 2024/02/29
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