Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain

Danping Lin, Ka Man Lee, Kangwei Lin

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

27 Citations (Scopus)

Abstract

This paper investigates the effect factors in the adoption of Internet of Things (IoT) technology in the agricultural supply chain in China by constructing a Technology-Organization-Environment (TOE) framework. The data was analyzed using Structural Equation Modelling. Through statistics analysis, the effect factors were recognized and the TOE model was modified appropriately. The results indicated that resistance from employees and uncertainties are not important factors that influence the IoT adoption. Referring to those supported factors, technical factors (complexity, compatibility, perceived benefit, and cost) have a complicated influence on the technology adoption of IoT in agriculture. In addition, organizational factors (scale of enterprise, executive support, trust among the businesses in the supply chain, and technical knowledge) and environmental factors (external pressure and government support) all have positive relationships with IoT adoption.
Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages612-615
Number of pages4
Volume2016-December
ISBN (Electronic)9781509036653
DOIs
Publication statusPublished - 27 Dec 2016
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Conference

Conference2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
CountryIndonesia
CityBali
Period4/12/167/12/16

Keywords

  • Agriculture
  • Effect Factor
  • Internet of Things
  • TOE

ASJC Scopus subject areas

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

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