Ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation in China

IF 6.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Knowledge Management Pub Date : 2024-04-09 DOI:10.1108/jkm-09-2022-0717

Yong Qi, Qian Chen, Mengyuan Yang, Yilei Sun

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Abstract

Purpose Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability. Design/methodology/approach This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis. Findings The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions. Originality/value First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.

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双管齐下的知识积累、动态能力与中国制造业数字化转型

目的现有研究较少关注知识积累对数字化转型的影响及其边界条件。本研究将知识积累分为探索性知识积累和开发性知识积累，将动态能力分为联盟管理能力和新产品开发能力。为厘清双向知识积累、动态能力与制造业数字化转型之间的关系，作者收集了 421 家中国上市制造企业 2016 年至 2020 年的数据，并通过多元层次回归法、异质性检验和稳健性分析进行了分析。与保持单一维度的知识积累相比，保持双向并行的知识积累更有利于制造业数字化转型。此外，动态能力正向调节了双向知识积累与制造业数字化转型之间的关系。此外，异质性检验表明，在不同细分行业或不同地区，双向知识积累和动态能力对制造业数字化转型的影响存在较大差异。原创性/价值首先，本文将注意力转移到了双向知识积累在制造业数字化转型中的作用，拓展了知识积累的内涵和外延。其次，本研究揭示了动态能力是数字化转型的重要驱动力，这印证了以往关于动态能力是重要驱动力的研究结论，有助于丰富知识管理文献。第三，本文基于数字经济时代的发展特征，对双向知识积累与数字化转型进行了全面的微观测量，为后续研究提供了理论依据。

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来源期刊

Journal of Knowledge Management Multiple-

CiteScore

13.70

自引率

15.70%

发文量

期刊介绍： Knowledge Management covers all the key issues in its field including: ■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure ■Knowledge management and the learning organization ■Information organization and retrieval technologies for improving the quality of knowledge ■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital ■Using information technology to develop knowledge management ■Knowledge management and innovation ■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?