A Study on the Acceptance Willingness of Small, Medium and Micro Enterprises for the “Use First, Pay Later” Policy of Scientific and Technological Achievements—An Empirical Analysis Based on High-Tech Zone of Chengdu
Year: 2025
Type: article
Study design: Observational Study
Abstract: 在我国科技成果转化面临市场化程度低、企业承接能力弱等问题的背景下，“先使用后付费”政策作为一种创新的科技成果转化模式，为破解中小微企业技术创新困境提供了新路径。本文以成都市高新区中小微企业为研究对象，基于解构式计划行为理论(DTPB)和政策过程理论，构建了中小微企业对该政策的接受意愿模型，通过问卷调查和实证分析，探讨了影响中小微企业接受意愿的关键因素。研究发现，感知有用性、感知易用性、上级影响、便利条件和自我效能对中小微企业的接受意愿具有显著正向影响，感知风险则具有显著负向影响。基于此，本文从政策宣传、风险防控、服务优化等方面提出了提升中小微企业接受意愿的对策建议，为完善科技成果转化政策体系提供了理论与实践参考。Against the backdrop of China’s scientific and technological achievement transformation facing challenges such as low marketization and weak enterprise undertaking capabilities, the “use first, pay later” policy, as an innovative transformation model, provides a new pathway to address the technological innovation dilemmas of small, medium, and micro enterprises (SMEs). Taking SMEs in the High-tech Zone of Chengdu as the research object, this study constructs an acceptance willingness model for the policy based on the Decomposed Theory of Planned Behavior (DTPB) and policy process theory. Through questionnaire surveys and empirical analysis, it explores the key factors influencing SMEs’ acceptance willingness. The findings reveal that perceived usefulness, perceived ease of use, superior influence, facilitative conditions, and self-efficacy have significant positive impacts on SMEs’ acceptance willingness, while perceived risk exhibits a significant negative effect. Based on these results, this paper proposes countermeasures and suggestions to enhance SMEs’ acceptance willingness from aspects of policy promotion, risk prevention, and service optimization, providing theoretical and practical references for improving the policy system of scientific and technological achievement transformation.
Source: Service Science and Management
Author: 政文 王
Institution: Southwest Jiaotong University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4412467012