Exploring Internet of Things adoption challenges in manufacturing firms: A Delphi Fuzzy Analytical Hierarchy Process approach.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES PLoS ONE Pub Date : 2024-11-04 eCollection Date: 2024-01-01 DOI:10.1371/journal.pone.0311643
Hasan Shahriar, Md Saiful Islam, Md Abrar Jahin, Istiyaque Ahmed Ridoy, Raihan Rafi Prottoy, Adiba Abid, M F Mridha
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Abstract

Innovation is key to gaining a sustainable edge in an increasingly competitive global manufacturing landscape. For Bangladesh's manufacturing sector to survive and thrive in today's cutthroat business environment, adopting transformative technologies such as the Internet of Things (IoT) is not a luxury but a necessity. This article tackles the formidable task of identifying and comprehensively evaluating the impediments to IoT adoption in the Bangladeshi manufacturing industry. We delve deeply into the complex terrain of IoT adoption challenges by synthesizing expert insights and a meticulously selected body of contemporary literature. We employ a robust methodology combining the Delphi method with the fuzzy Analytical Hierarchy Process to systematically analyze and prioritize these challenges. Using this methodology, we leveraged the combined expertise of domain specialists and subsequently employed fuzzy logic techniques to address the inherent ambiguities and uncertainties within the data. Our findings highlight this clear path. They reveal that among the myriad barriers, "Lack of top management commitment to implementing new technology" (B10), "High initial implementation investment costs" (B9), and "Risks associated with switching to a new business model" (B7) loom most extensive, demanding immediate attention. These insights are not confined to academia but serve as a pragmatic guide for industrial managers. Armed with the knowledge gleaned from this study, managers can craft tailored strategies, set well-informed priorities, and embark on a transformational journey toward harnessing the vast potential of IoT in the Bangladeshi industrial sector. This article provides a comprehensive understanding of IoT adoption challenges and industry leaders with the tools necessary to navigate these challenges effectively. This strategic navigation, in turn, contributes significantly to enhancing the competitiveness and sustainability of Bangladeshi manufacturing in the IoT era.

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探索制造业企业采用物联网的挑战:德尔菲模糊分析层次过程方法。
在竞争日益激烈的全球制造业环境中,创新是获得可持续优势的关键。孟加拉国制造业要想在当今残酷的商业环境中生存和发展,采用物联网(IoT)等变革性技术并非奢望,而是必须。本文旨在完成一项艰巨的任务,即找出并全面评估孟加拉国制造业采用物联网的障碍。我们综合了专家的见解和精心挑选的当代文献,深入探讨了物联网应用所面临的复杂挑战。我们采用德尔菲法与模糊层次分析法相结合的稳健方法,对这些挑战进行系统分析和优先排序。利用这种方法,我们综合利用了各领域专家的专业知识,随后采用模糊逻辑技术来解决数据中固有的模糊性和不确定性。我们的研究结果凸显了这一清晰的路径。它们显示,在众多障碍中,"缺乏高层管理者对实施新技术的承诺"(B10)、"高昂的初始实施投资成本"(B9)和 "与转换到新业务模式相关的风险"(B7)最为突出,需要立即予以关注。这些见解并不局限于学术界,而是为企业管理者提供了务实的指导。有了从本研究中收集到的知识,管理者们就可以制定有针对性的战略,确定明智的优先事项,并踏上在孟加拉国工业部门利用物联网巨大潜力的转型之旅。本文提供了对物联网应用挑战的全面理解,并为行业领导者提供了有效驾驭这些挑战的必要工具。这种战略导航反过来又大大有助于提高孟加拉国制造业在物联网时代的竞争力和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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