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Innovation is crucial for sustainable success in today's fiercely competitiveglobal manufacturing landscape. Bangladesh's manufacturing sector must embracetransformative technologies like the Internet of Things (IoT) to thrive in thisenvironment. This article addresses the vital task of identifying andevaluating barriers to IoT adoption in Bangladesh's manufacturing industry.Through synthesizing expert insights and carefully reviewing contemporaryliterature, we explore the intricate landscape of IoT adoption challenges. Ourmethodology combines the Delphi and Fuzzy Analytical Hierarchy Process,systematically analyzing and prioritizing these challenges. This approachharnesses expert knowledge and uses fuzzy logic to handle uncertainties. Ourfindings highlight key obstacles, with "Lack of top management commitment tonew technology" (B10), "High initial implementation costs" (B9), and "Risks inadopting a new business model" (B7) standing out as significant challenges thatdemand immediate attention. These insights extend beyond academia, offeringpractical guidance to industry leaders. With the knowledge gained from thisstudy, managers can develop tailored strategies, set informed priorities, andembark on a transformative journey toward leveraging IoT's potential inBangladesh's industrial sector. This article provides a comprehensiveunderstanding of IoT adoption challenges and equips industry leaders tonavigate them effectively. This strategic navigation, in turn, enhances thecompetitiveness and sustainability of Bangladesh's manufacturing sector in theIoT era.

Exploring Internet of Things Adoption Challenges in Manufacturing Firms: A Delphi Fuzzy Analytical Hierarchy Process Approach