Application of interpretive structural modelling for analyzing the factors of IoT adoption on supply chains in the Chinese agricultural industry

Danping Lin, C. K.M. Lee, W. C. Tai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The contemporary supply chain is complex and interrelated. Agricultural supply chain has started to make use of advanced technology in broad areas. Internet of Things (IoT) refers to the inter-networking of embedded devices (things), which enable these things to collect and exchange data so as to streamline the value chain. The advantages of IoT adoption include real time monitoring and control, thereby increasing the operation efficiency. However, the application of IoT in the Chinese agricultural supply chain remains at an early stage. The evaluation of influencing factors of the IoT practices in a structural model is conducted to investigate their interrelationship. In this study, we adopt the interpretive structural modelling to analyze the interrelationship among factors that influence IoT adoption in Chinese agriculture. Ten factors have been inputted into the proposed model, and MICMAC analysis is further conducted to visualize the relationship based on the study that have been derived.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
PublisherIEEE Computer Society
Pages1347-1351
Number of pages5
ISBN (Electronic)9781538609484
DOIs
Publication statusPublished - 9 Feb 2018
Event2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
Duration: 10 Dec 201713 Dec 2017

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2017-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/TerritorySingapore
CitySingapore
Period10/12/1713/12/17

Keywords

  • agricultural supply chain
  • Interpretive structural modelling
  • IoT adoption

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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