| Title | Problem identification model of agricultural precision management based on smart supply chains: An exploratory study from China |
|---|---|
| ID_Doc | 76815 |
| Authors | Liu, WH; Wei, S; Wang, SY; Lim, MK; Wang, YJ |
| Title | Problem identification model of agricultural precision management based on smart supply chains: An exploratory study from China |
| Year | 2022 |
| Published | |
| Abstract | Nowadays, agricultural precision management (APM) has become an important way to transform the agricul-tural industry and realize the sustainable development of the agricultural supply chain. However, there is no relevant research based on the agricultural supply chain to explore the problems in the process of APM currently. There is also no literature to construct a problem identification model to provide guidance for corporate practice and provide suggestions for the government to issue encouraging policies. In order to fill the gaps, this paper adopts grounded theory method, interviews 24 business managers who carry out APM through a combination of personal in-depth interviews and focus group interviews, uses continuous comparative analysis ideas, and continuously refines and revises theories, and innovatively proposes an identification model of APM based on supply chain. It found that the four main categories of supply chain coordination, production resource support, scientific and technological equipment and structural system construction are the problems that hinder APM. Based on the problem identification model, this paper puts forward suggestions for the better development of APM from two aspects: corporate practice and government policy. |
| https://eprints.gla.ac.uk/268609/1/268609.pdf |
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