Please use this identifier to cite or link to this item:
Title: Research on effect factors evaluation of internet of things (IOT) adoption in Chinese agricultural supply chain
Authors: Lin, D
Lee, CKM
Lin, K
Keywords: Agriculture
Effect factor
Internet of Things
Issue Date: 2016
Publisher: IEEE Computer Society
Source: IEEE International Conference on Industrial Engineering and Engineering Management, 2016, v. 2016-December, 7797948, p. 612-615 How to cite?
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.
Description: 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016, Indonesia, 4-7 December 2016
ISBN: 9781509036653
ISSN: 2157-3611
DOI: 10.1109/IEEM.2016.7797948
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Checked on Oct 16, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.