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制造创新绩效的影响因素及提升路径:基于 TOE 框架的组态分析。

Influencing factors and improvement paths of manufacturing innovation performance: Configuration analysis based on TOE framework.

机构信息

College of Economics and Management, Shandong University of Science and Technology, Qingdao, China.

出版信息

PLoS One. 2023 Nov 20;18(11):e0294630. doi: 10.1371/journal.pone.0294630. eCollection 2023.

Abstract

Innovation is the first driving force to lead development, how to improve manufacturing innovation performance has become a hot topic. Based on 47 listed companies in the computer, communication and other electronic equipment manufacturing industry in the A-share market, this paper adopted the Fuzzy set qualitative comparative analysis (fsQCA) to explore the influencing factors of technology, organization and environment on the innovation performance of manufacturing industry and the improvement path. The findings are as follows: (1) A single condition is not a necessary condition for high innovation performance in manufacturing industry, but government support plays a key role in improving innovation performance in manufacturing industry. (2) There are two improvement paths for high innovation performance in manufacturing industry, which are specifically explained as "technology-environment dual improvement path" and "technology-organization-environment collaborative improvement path". (3) The improvement of innovation performance in the manufacturing industry is the result of multiple factors, showing the characteristics of "all paths lead to the same destination". Different manufacturing enterprises have different paths to improve innovation performance based on their actual conditions. Based on these findings, this study may provide some implications for the effective improvement of manufacturing innovation performance.

摘要

创新是引领发展的第一动力,如何提高制造业创新绩效已成为热点话题。本文基于沪深 A 股市场计算机、通信和其他电子设备制造业的 47 家上市公司,采用模糊集定性比较分析(fsQCA)方法,探讨了技术、组织和环境对制造业创新绩效的影响因素及提升路径。研究结果表明:(1)单一条件不是制造业高创新绩效的必要条件,而政府支持在提高制造业创新绩效方面起着关键作用。(2)制造业高创新绩效有两条提升路径,具体表现为“技术-环境双重提升路径”和“技术-组织-环境协同提升路径”。(3)制造业创新绩效的提升是多种因素共同作用的结果,呈现出“殊途同归”的特点。不同的制造企业可以根据自身实际情况选择不同的路径来提升创新绩效。基于这些发现,本研究可能为有效提高制造业创新绩效提供一些启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/809b/10659168/a26878a07251/pone.0294630.g001.jpg

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