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制造企业数字化创新影响因素研究:基于fsQCA方法
引用本文:王忠,邓郁南,谢卫红.制造企业数字化创新影响因素研究:基于fsQCA方法[J].科技管理研究,2023(17):20-30.
作者姓名:王忠  邓郁南  谢卫红
作者单位:1. 广东工业大学经济学院;2. 广东工业大学数据经济数据治理重点实验室;3. 广东工业大学大数据战略研究中心
基金项目:国家社科基金项目“个人数据流通隐私保护的机制设计研究”(21BJL038);;国家自然科学基金项目“重组视角下的数字化创新影响因素及其对制造业核心竞争力构建机制研究”(72274041);
摘    要:基于“技术-组织-环境”理论框架,以45家制造企业为样本,运用模糊集定性比较分析(fsQCA)方法探索企业技术、组织以及环境对制造企业数字化创新的影响。研究发现,(1)工业互联网应用、创新资源、高管技术背景、人才基础、市场竞争、政府支持等因素并不是制造企业数字化创新的必要条件,单个因素无法有效促进制造企业数字化创新;(2)形成制造业数字化创新共有5条路径,被分为3种类型,分别是技术-环境协同型、技术-组织协同型、技术-组织-环境协同型;(3)工业互联网应用和人才基础对于推动制造企业数字化创新具有普适作用。研究结论有助于揭示制造企业数字化创新发展背后多重因素的协同作用机制,为中国制造企业数字化创新提供有益的实践启示。

关 键 词:数字化创新  制造业  转型  模糊集定性比较分析  TOE框架
收稿时间:2023/2/2 0:00:00
修稿时间:2023/2/10 0:00:00

Influential Factors of Digital Innovation in Manufacturing Enterprises: Based on fsQCA Method
Abstract:Digital innovation is an important way to upgrade China"s manufacturing industry, but there is a lack of systematic research on its influencing factors. Based on the theoretical framework of "Technology-Organization-Environment", this study explores the influence of technology, organization and environment on digital innovation of manufacturing enterprises by using fuzzy set qualitative comparative analysis (fsQCA) method with a sample of 45 manufacturing enterprises. The study found that: (1) industrial Internet application, innovation resources, executive technical background, talent base, market competition, and government support are not necessary conditions for digital innovation in manufacturing enterprises, and individual factors cannot effectively promote digital innovation in manufacturing enterprises; (2) there are five pathways to digital innovation in manufacturing industries, which are classified into three types, namely technology-environment synergy, technology-organization synergy, technology-organization-environment synergy, and technology-organization-environment synergy. and technology-organization-environment synergy; (3) industrial Internet application and talent base have universal effects on promoting digital innovation in manufacturing enterprises. The findings help to reveal the synergistic mechanisms of multiple factors behind the development of digital innovation in manufacturing enterprises and provide useful practical insights for digital innovation in Chinese manufacturing enterprises.
Keywords:digital  innovation  manufacturing  transformation  fuzzy  set qualitative  comparative analysis  TOE  framework
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