Abstract: In order to explore the specific paths driven by IoT technology adoption intentions of farmers, based on the unified theory of acceptance and use of technology and the theory of planned behavior, with 406 data of large vegetable farmers as the research samples, adopting the fuzzy set qualitative comparative analysis method （fsQCA）, and applying the group analysis to interpret the multiple concurrent causality between the antecedent conditions and the high IoT technology adoption intentions of large vegetable farmers. The results show that: A single factor does not constitute a necessary condition for high IoT technology adoption intentions among large vegetable farmers, but high social influence and government support play a more general role in generating high IoT technology adoption intentions. There are four types of fitness grouping paths for generating high IoT technology adoption intention such as facilitation and government support‑driven, performance expectation and social influence‑driven, effort expectation and social influence‑driven, and Multi‑dimensional synergy driven. High performance expectation and high effort expectation are substitutes for each other in the process of realizing high IoT technology adoption intention. There are 2 types of fitness grouping paths that lead to non‑high willingness to adopt IoT technologies, namely, performance facilitation deficient and government support deficient, and there is an asymmetric relationship with the fitness grouping that generates high willingness to adopt IoT technologies. Therefore, it is necessary to adhere to the systemic concept, give full play to the synergistic effect of multiple elements, pay attention to the social influence, give full play to the role of promotion and demonstration, optimize the policy support environment, and give full play to the precise policy guidance.

Key words: large vegetable farmers, Internet of Things technology, adoption intention, multiple driving, smart agriculture

摘要： 为探究农户物联网技术采纳意愿驱动的具体路径，基于整合型技术接受理论和计划行为理论，以406份蔬菜种植大户数据为调研样本，采用模糊集定性比较分析方法（fsQCA），运用组态分析诠释前因条件与农户高物联网技术采纳意愿的多重并发因果关系。结果表明：单一要素不构成蔬菜种植大户高物联网技术采纳意愿的必要条件，但高社会影响和政府支持在产生高物联网技术采纳意愿方面起着更普遍的作用；存在4类产生高物联网技术采纳意愿的适配组态路径：便利条件与政府支持驱动型、绩效期望与社会影响驱动型、努力期望与社会影响驱动型、多维协同驱动型；高绩效期望和高努力期望在实现高物联网技术采纳意愿的过程中互为替代关系；存在2类导致非高物联网技术采纳意愿的适配组态路径，即绩效便利缺失型和政府支持缺失型，且与产生高物联网技术采纳意愿的适配组态存在非对称关系。基于此，提出坚持系统观念，发挥多要素协同作用；重视社会影响，发挥推广示范作用；优化政策支持环境，发挥精准化政策引导等建议。

关键词: 蔬菜种植大户, 物联网技术, 采纳意愿, 多元驱动, 智慧农业