Author: Liu, Feifei
Title: Factors affecting the adoption of smart agriculture : a model and empirical analysis
Degree: D.B.A.
Year: 2023
Subject: Agriculture -- China
Agricultural informatics -- China
Agricultural innovations -- China
Hong Kong Polytechnic University -- Dissertations
Department: Faculty of Business
Pages: 99 pages : color illustrations
Language: English
Abstract: In this thesis, the influencing factors of smart agriculture adoption in China are analyzed. The author proposes a research framework based on the technology-organization-environment (TOE) theory to theoretically investigate the factors affecting the adoption of smart agriculture. Moreover, the author exploits micro-level data from China to provide empirical evidence supporting the theoretical analyses, which helps to better understand the development of the adoption of smart agriculture in China. In particular, the author integrates constructs, like government support and social networks playing a specific role in the context of Chinese agriculture, into the TOE framework to further explore their impacts on the adoption of smart agriculture.
Through empirical analyses and testing, this thesis reveals the key influencing factors of smart agricultural technology adoption in agricultural enterprises in China. From the perspective of technical characteristics, technology competence has an impact on the willingness to adopt smart agricultural technologies, and the high-level support for enterprises is affected by technology competence. top management support (TMS) in the organizational dimension has a positive impact on the choice making of agricultural enterprises to adopt smart agricultural technologies. The factors of adoption intension in the organizational dimension are TMS, perceived costs, perceived usefulness and perceived ease of use. Within the environmental dimension, government support plays a vital part on the decision making of agricultural enterprises to adopt smart agricultural technologies. Technology competence in the technical dimension is a factor affecting adoption of smart agriculture.
The characteristics of agricultural enterprises in the selection of influencing factors are considered in this thesis, which provides a theoretical basis for agricultural enterprises to adopt smart agricultural technologies in a targeted manner.
Rights: All rights reserved
Access: restricted access

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/12678