摘要
数智化是产业升级发展方向,其要素配置方式是赋能传统工业企业创新的关键。以“技术—组织—环境—进程”框架构建影响因素维度,运用模糊集定性比较分析方法(fsQCA)对中国内地31个省级行政区数据进行组态分析,探究数智赋能传统工业企业创新路径。结果发现:前因变量中不存在必要条件,数智赋能传统工业企业创新存在5条典型组态路径,其中“技术—组织”侧重技术研发推动,“环境—进程”由需求拉动引发,两者形成互补性赋能模式;进程维度在4条赋能路径中作为有效条件,与以往忽视进程维度不同,数智应用对传统工业企业创新发挥关键作用;高创新绩效区域均选择“技术—组织—环境-进程”路径,其它区域可依据自身资源条件选择与之相匹配的路径,通过增强要素间协同能力优化赋能效果。
As a fundamental industry of the national economy,traditional manufacturing can drive the development of upstream and downstream enterprises through the industrial chain,reduce import dependence through export-oriented products,improve resource allocation efficiency through technological accumulation and scale operation,and mitigate the impact of external environmental changes to some extent.However,traditional industrial enterprises are generally faced with the dilemma of product homogeneity and rising costs.The rapid development of digital intelligence technology brings new transformations to enterprise operations,driving traditional industrial enterprises towards knowledge-intensive and technology-intensive transformation.Big data analysis enables enterprises to accurately understand customer needs,while artificial intelligence provides efficient and precise autonomous solutions,accelerating the innovation process of traditional industrial enterprises.Therefore,it is of great significance to explore the empowerment of digital intelligence on the innovation of traditional industrial enterprises.Most existing research on innovation in traditional industrial enterprises focuses on how to improve production efficiency,and there is little exploration of the driving rules of innovation from the perspective of digital intelligence technology.At the same time,existing studies often analyze data intelligence technology and services as independent factors when examining the intelligent process,with less consideration of their synergy,which makes it difficult to clarify the overall impact of data intelligence on innovation.In addition,current strategies for data intelligence empowerment often emphasize industry characteristics,while differences in regional resource endowments result in resource mismatches.In this study,the"technology-organization-environment-process"(TOEP)framework is constructed to identify the influencing factors driving innovation activities,and it is used to analyze the innovation paths of traditiona
作者
陈旭升
汪鹏飞
张旭东
Chen Xusheng;Wang Pengfei;Zhang Xudong(School of Management,Harbin University of Science and Technology,Harbin 150040,China)
出处
《科技进步与对策》
北大核心
2024年第2期68-78,共11页
Science & Technology Progress and Policy
基金
黑龙江省哲学社会科学研究规划项目(20JYE277)。
关键词
数智赋能
传统工业企业
创新
fsQCA
Intelligence Empowerment
Traditional Industrial Enterprises
Innovation
fsQCA
