双元学习、组织韧性对企业技术创新的影响

The Impact of Ambidextrous Learning and Organizational Resilience on Firms'Technological Innovation

技术创新是突破关键“卡脖子”技术的主要途径,然而目前鲜有探究双元学习和组织韧性对企业技术创新的影响。为厘清双元学习对制造企业技术创新的作用机制,拓展组织韧性和技术创新相关研究,运用组织学习理论和动态能力理论,将双元学习划分为利用性学习和探索性学习、将组织韧性划分为前瞻韧性和即兴韧性,构建理论模型探讨二者对制造企业技术创新的影响,并分析组织韧性的中介作用和大数据分析能力的调节作用。以中国制造企业为研究对象,采用来自制造企业的工商管理硕士(MBA)和工程管理硕士(MEM)学员线下发放问卷、通过社会网络向制造企业有关人员线上发放问卷和实地调研部分制造企业等3种方式收集相关数据,运用回归分析和中介效应检验等方法进行实证检验。结果发现:利用性学习和探索性学习不仅对技术创新具有显著正向影响,而且对前瞻韧性和即兴韧性也具有显著正向影响;前瞻韧性和即兴韧性对技术创新具有显著正向影响,且分别在利用性学习、探索性学习与技术创新之间起部分中介作用;此外,大数据分析能力正向调节利用性学习、探索性学习与技术创新之间的关系。从而得出对企业的相关管理启示:加强双元学习,提升自身组织韧性,以及提升大数据分析能力。

Technological innovation is an important way to break through the key neck technology.However,there is little research on the impact of ambidextrous learning and organizational resilience on technological innovation in current.To clarify the mechanism of ambidextrous learning on technological innovation in manufacturing firms,and expand the research on organizational resilience and technological innovation,this paper applies organizational learning theory and dynamic capabilities theory,divides ambidextrous learning into exploitative learning and exploratory learning,and classifies organizational resilience into prospective resilience and improvisational resilience,and then establishes a theoretical model,explores the influence of two types of ambidextrous learning on manufacturing firms'technological innovation,and examines the mediating role of organizational resilience and the moderating role of big data analysis capability.Taking Chinese manufacturing firms as the research object,three methods are used to collect relevant data:one is distributing questionnaires offline to master of business administration(MBA)and master of engineering management(MEM)students from manufacturing firms,the other is distributing questionnaires online to relevant personnel in manufacturing firms through social networks,and the third way is conducting on-site surveys on some manufacturing firms.Empirical testing is conducted by using regression analysis and mediating effect testing.The results find that exploitative learning and exploratory learning not only have significant positive effects on technological innovation,but also have significant positive effects on prospective resilience and improvisation resilience,while the prospective resilience and improvisational resilience have significant positive effects on technological innovation,and play a partial mediating role between exploitative learning,exploratory learning,and technological innovation respectively.Moreover,big data analytics capability positively moderates the relationship between exploitative learning,exploratory learning,and technological innovation.Accordingly,managerial implications for firms are also drawn,which are strengthening ambidextrous learning,enhancing organizational resilience,and promoting big data analysis capabilities.