Integrated blockchain and internet of things in the food supply chain: Adoption barriers

被引:41
|
作者
Kumar, Shashank [1 ,8 ]
Raut, Rakesh D. [1 ]
Agrawal, Nishant [2 ]
Cheikhrouhou, Naoufel [3 ,7 ]
Sharma, Mahak [4 ]
Daim, Tugrul [5 ,6 ]
机构
[1] Natl Inst Ind Engn NITIE, Dept Operat & Supply Chain Management, NITIE, Mumbai 400087, Maharashtra, India
[2] Nirma Univ, Ahmadabad, India
[3] Univ Appl Sci Western Switzerland, Geneva Sch Business Adm, HES SO, CH-1227 Carouge, Switzerland
[4] Birla Inst Management Technol BIMTECH, Dept Strategy Entrepreneurship & Innovat, Greater Noida, India
[5] Portland State Univ, Technol Management Doctoral Program, Dept Engn & Technol Management, Portland, OR 97201 USA
[6] Chaoyang Univ Technol, Taichung, Taiwan
[7] IFM Business Sch, CH-1205 Geneva, Switzerland
[8] Symbiosis Inst Operat Management, Dept Operat Management, Nasik, India
关键词
Blockchain; Decision-making trial andevaluation; laboratory; Food supply chain; Internet ofthings; Interpretive structural modeling; INDUSTRY; 4.0; TECHNOLOGY; IOT; MANAGEMENT; CHALLENGES; LOGISTICS;
D O I
10.1016/j.technovation.2022.102589
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Blockchain (BLC) and the Internet of Things (IoT) are two emerging technologies that have become popular among practitioners for improving the transparency, adaptability, and safety of any industry. This is especially critical for food security, as COVID-19 highlighted the vulnerability of food supply chain (FSC). However, Indian organizations are experiencing problems in implementing the integrated form of BLC-IoT due to limited knowledge and insufficient research. The current study aims to propose a conceptual framework to reduce the impact of adoption barriers against BLC-IoT in FSC. Thirteen key barriers were identified after a thorough literature review and consultation with experts. The relationship among barriers was established using Inter-pretive structural modeling (ISM) and Decision-making trial and evaluation laboratory (DEMATEL) methods. The analysis shows that the lack of government regulation and workers' low competency significantly influence BLC-IoT adoption. The results also indicate the intricacy of decision-making by demonstrating that 9 of the 13 barriers were a part of the linkage cluster. The study outcome will help practitioners in developing and planning stra-tegies for effective adoption of BLC-IoT in FSC.
引用
收藏
页数:15
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