An Interval Valued Type 2 Intuitionistic Fuzzy Approach to Analyze the Barriers of Adopting Internet of Things in the Agriculture Supply Chain: Implications for Sustainable Development Goals

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This preprint studies barriers to adopting Internet of Things (IoT) in the agriculture supply chain in an emerging economy, using a literature review and expert opinions to identify operational and supply-chain challenges. It applies an Interval Valued Type 2 Intuitionistic Fuzzy-DEMATEL approach to model causal and effect relationships among 17 barriers grouped into four categories, and reports that “Unaffordability and uncertainty of technological advancement,” “Inadequacy of strong financial backing,” “Lack of standardization and regulations,” and “Lack of guarantee on reliability, availability, and robustness” have the most significant overall impact. A key caveat is that the work is presented as a preprint and has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract A supply chain connects organizations and individuals to produce and deliver an item to the last purchaser, including different information, resources, and activities. The agriculture supply chain is arguably the most intricate compared to other supply chains. Smart agriculture powered by IoT has the potential to significantly transform the agricultural sector by enhancing monitoring and management, reducing risks, raising production, and strengthening resilience to climate change. This research aims to examine operational and supply chain barriers to Internet of Things (IoT) adoption in the agriculture industry of an emerging economy. The barriers were identified based on a literature review and expert opinions. Then, the Interval Valued Type 2 Intuitionistic Fuzzy- decision-making trial and evaluation laboratory (DEMATEL) method is utilized to explore the causal and effect relations among the critical barriers of the agriculture supply chain. This study identifies 17 barriers under 4 significant categories of the agriculture supply chain. The results indicate that, “Unaffordability and uncertainty of technological advancement”, “Inadequacy of strong financial backing”, “Lack of standardization and regulations” and “Lack of guarantee on reliability, availability, and robustness” have the most significant impact on the whole process in the context of agriculture supply chain. The outcomes offer reasonable guidelines for partners and government strategy makers to improve the public supply chain in developing countries. The study discovers the indispensable and causal links, which have been undervalued so far, among agriculture supply chain barriers in an emerging economy context. In order to create a strong, sustainable agri-food supply chain, the practitioners can use the framework as a guide when planning their investments.
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An Interval Valued Type 2 Intuitionistic Fuzzy Approach to Analyze the Barriers of Adopting Internet of Things in the Agriculture Supply Chain: Implications for Sustainable Development Goals | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An Interval Valued Type 2 Intuitionistic Fuzzy Approach to Analyze the Barriers of Adopting Internet of Things in the Agriculture Supply Chain: Implications for Sustainable Development Goals Mahmudul Hasan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6157309/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract A supply chain connects organizations and individuals to produce and deliver an item to the last purchaser, including different information, resources, and activities. The agriculture supply chain is arguably the most intricate compared to other supply chains. Smart agriculture powered by IoT has the potential to significantly transform the agricultural sector by enhancing monitoring and management, reducing risks, raising production, and strengthening resilience to climate change. This research aims to examine operational and supply chain barriers to Internet of Things (IoT) adoption in the agriculture industry of an emerging economy. The barriers were identified based on a literature review and expert opinions. Then, the Interval Valued Type 2 Intuitionistic Fuzzy- decision-making trial and evaluation laboratory (DEMATEL) method is utilized to explore the causal and effect relations among the critical barriers of the agriculture supply chain. This study identifies 17 barriers under 4 significant categories of the agriculture supply chain. The results indicate that, “Unaffordability and uncertainty of technological advancement”, “Inadequacy of strong financial backing”, “Lack of standardization and regulations” and “Lack of guarantee on reliability, availability, and robustness” have the most significant impact on the whole process in the context of agriculture supply chain. The outcomes offer reasonable guidelines for partners and government strategy makers to improve the public supply chain in developing countries. The study discovers the indispensable and causal links, which have been undervalued so far, among agriculture supply chain barriers in an emerging economy context. In order to create a strong, sustainable agri-food supply chain, the practitioners can use the framework as a guide when planning their investments. Agricultural Economics and Policy Operations Research Agriculture supply chain Interval-valued type 2 intuitionistic fuzzy theory DEMATEL Causal and effect group Internet of Things Sustainable development goals. Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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