ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Land, Livelihoods and Food Security
This article is part of the Research TopicDigital Agricultural Technologies for Improving Food Security OutcomesView all 8 articles
How to Promote the Intention of Grain Enterprises to Adopt Smart Granary Technology—An fsQCA Analysis Based on the TOE Framework
Provisionally accepted
- 1School of Management, Fujian University of Technology, Fuzhou, Fujian Province, China
- 2Chengdu Agricultural College, Chengdu, China
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The adoption of smart granary systems is critical for safeguarding national grain security, yet the determinants of adoption intention in grain enterprises remain insufficiently understood. Based on the Technology-Organization-Environment (TOE) framework, this study develops a configurational model to investigate how six antecedents, which are organizational compatibility, technological fit, resource readiness, competitive pressure, operational risk, and privacy risk, interactively interactively relate to adoption intentions. Using fuzzy-set Qualitative Comparative Analysis (fsQCA) on cross sectional survey data from 46 middle and senior managers of grain enterprises in Fuzhou, China, three key findings emerge: (1) Adoption intention stems from combinatorial causality rather than isolated factors, with no single necessary condition identified; (2) Two dominant pathways drive high adoption intention: "technology fit support driven path" (four pathways) and "resource readiness support driven path" (five pathways); (3) Privacy risk emerges as a significant association factor in both pathways. The results uncover the key factors and driving pathways associated with the adoption of smart grain storage technology in grain enterprises, providing theoretical insights and practical references for promoting the widespread application of smart grain storage systems.
Keywords: Grain enterprises, Smart granary, Technology Adoption, TOE framework, fsQCA
Received: 15 Apr 2025; Accepted: 03 Nov 2025.
Copyright: © 2025 Du, He, Wang, Zhuang and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xinyao He, wennycd@163.com
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