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探索制造企业物联网采用的挑战:德尔菲模糊层次分析法。

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

机构信息

Department of Industrial Engineering and Management, Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh.

Institute of Business Administration, University of Dhaka, Dhaka, Bangladesh.

出版信息

PLoS One. 2024 Nov 4;19(11):e0311643. doi: 10.1371/journal.pone.0311643. eCollection 2024.

DOI:10.1371/journal.pone.0311643
PMID:39495813
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11534249/
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.

摘要

创新是在日益竞争激烈的全球制造业环境中获得可持续优势的关键。为了使孟加拉国的制造业在当今竞争激烈的商业环境中生存和发展,采用物联网(IoT)等变革性技术不仅是一种奢侈,而是一种必要。本文旨在解决孟加拉国制造业采用物联网的障碍的艰巨任务。我们通过综合专家的见解和精心挑选的当代文献,深入探讨了物联网采用挑战的复杂领域。我们采用了一种强大的方法,将 Delphi 方法与模糊层次分析法相结合,系统地分析和优先考虑这些挑战。使用这种方法,我们利用了领域专家的综合专业知识,并随后采用模糊逻辑技术来解决数据中的固有模糊性和不确定性。我们的研究结果突显了这一明确的路径。它们表明,在众多障碍中,“缺乏实施新技术的高层管理承诺”(B10)、“初始实施投资成本高”(B9)和“与转向新商业模式相关的风险”(B7)最为突出,需要立即关注。这些见解不仅限于学术界,而且为工业经理提供了实用的指南。管理者可以利用从这项研究中获得的知识制定有针对性的策略,确定明智的优先事项,并开始在孟加拉国工业部门中利用物联网的巨大潜力进行转型之旅。本文全面了解物联网采用挑战,并为行业领导者提供有效应对这些挑战所需的工具。这种战略导航,反过来又为提高孟加拉国制造业在物联网时代的竞争力和可持续性做出了重大贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c0a/11534249/c84b31de0cb1/pone.0311643.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c0a/11534249/c84b31de0cb1/pone.0311643.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c0a/11534249/c84b31de0cb1/pone.0311643.g001.jpg

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本文引用的文献

1
Development of the competency assessment scale for clinical nursing teachers: Results of a Delphi study and validation.临床护理教师能力评估量表的开发:德尔菲研究和验证结果。
Nurse Educ Today. 2021 Jun;101:104876. doi: 10.1016/j.nedt.2021.104876. Epub 2021 Mar 17.
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Analyzing and interpreting data from likert-type scales.分析和解释李克特量表的数据。
J Grad Med Educ. 2013 Dec;5(4):541-2. doi: 10.4300/JGME-5-4-18.