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

Danping Lin; Ka Man Lee; Kangwei Lin

doi:10.1109/IEEM.2016.7797948

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

38 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 language	English
Title of host publication	2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Publisher	IEEE Computer Society
Pages	612-615
Number of pages	4
Volume	2016-December
ISBN (Electronic)	9781509036653
DOIs	https://doi.org/10.1109/IEEM.2016.7797948
Publication status	Published - 27 Dec 2016
Event	2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia Duration: 4 Dec 2016 → 7 Dec 2016

Conference

Conference	2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Country/Territory	Indonesia
City	Bali
Period	4/12/16 → 7/12/16

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

More information

10.1109/IEEM.2016.7797948

Cite this

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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.",

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Lin, D, Lee, KM & Lin, K 2016, Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain. in 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016. vol. 2016-December, 7797948, IEEE Computer Society, pp. 612-615, 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016, Bali, Indonesia, 4/12/16. https://doi.org/10.1109/IEEM.2016.7797948

Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain. / Lin, Danping; Lee, Ka Man; Lin, Kangwei.

2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016. Vol. 2016-December IEEE Computer Society, 2016. p. 612-615 7797948.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain

AU - Lin, Danping

AU - Lee, Ka Man

AU - Lin, Kangwei

PY - 2016/12/27

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N2 - 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.

AB - 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.

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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