• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2024, Vol. 42 ›› Issue (6): 1246-1254.

• 科技管理与知识管理 • 上一篇    下一篇

从认知到执行:企业数字化转型的绩效实现

胡青1,徐梦周2   

  1. 1. 中共浙江省委党校
    2. 浙江省委党校工商管理教研部
  • 收稿日期:2023-01-30 修回日期:2023-02-27 出版日期:2024-06-15 发布日期:2024-06-15
  • 通讯作者: 胡青
  • 基金资助:
    浙江省哲学社会科学规划课题;国家社科基金项目

From cognition to implementation: the achievement of enterprise digital transformation performance

  • Received:2023-01-30 Revised:2023-02-27 Online:2024-06-15 Published:2024-06-15

摘要: 尽管越来越多的企业开启了利用大数据推动数字化转型之路,但大量企业仍面临转型难出成效的问题。如何发挥数据价值促进企业数字化转型绩效提升成为学术界与产业界共同关注的热点。从认知视角出发,沿着“认知-行为-绩效”逻辑,分析数据战略认知对企业数字化转型绩效的影响机制,并进一步探讨数据战略执行的中介作用和应用场景多样性的调节作用。运用226家企业的问卷调查数据进行实证分析,结果表明:数据战略认知对企业数字化转型绩效具有显著的促进作用,数据战略执行在数据战略认知与企业数字化转型绩效的关系中起中介作用,应用场景多样性正向调节数据战略执行与数字化转型绩效之间的关系,并正向调节数据战略认知通过数据战略执行影响数字化转型绩效的间接效应。本研究有助于深入理解企业数字化转型绩效来源,为企业在数字化转型过程中通过强化数据战略管理,提升数字化转型绩效提供理论指导。

Abstract: In recent years, digital economy which views data as the key factor of production and digital technology as the core driving force, has become a new engine to promote the high-quality development of China’s economy. Under the wave of digital economy, more and more enterprises embark on their digital transformation journey by collecting and analyzing internal operations and external user data. However, in practice, only a few enterprises utilize big data to enable their business innovation and achieve performance growth. Most enterprises still face the dilemma of having data without performance. How to release the value of data to better improve the performance of enterprise digital transformation has become an important issue for both academia and practitioners. Existing studies have acknowledged the importance of data development and utilization to the digital transformation of enterprises, but it lacks in-depth analysis of its internal mechanism. As a process of organizational change, digital transformation is influenced by both organizational cognition and behavior. It requires managers to interpret data strategy from the cognitive level. Meanwhile, it also requires managers to implement data strategy from the behavior level. In this sense, from the cognitive perspective, along with the logic of “cognition-behavior-performance”, this study investigates the impact of data strategic cognition on the performance of enterprise digital transformation. This study uses questionnaire data to carry out empirical analysis. The results show that: (1) Data strategic cognition has a significant positive impact on the performance of enterprise digital transformation. Managers’ clear description and interpretation of data strategy helps to improve the performance of enterprise digital transformation. (2) The implementation of data strategy plays a partial intermediary role in the relationship between data strategic cognition and the performance of enterprise digital transformation. Managers’ clear understanding of data strategy helps to effectively decompose and implement of data strategic tasks in various functional departments, and improves the performance of enterprise digital transformation. (3) The diversity of data application scenarios strengthens the positive impact of data strategy implementation on the performance of digital transformation. Diverse data application scenarios can expand the sources of enterprise data and enrich the carrier of enterprise digital communication. This contributes to data sharing and process collaboration, and then promotes the performance of enterprise digital transformation. (4) The diversity of data application scenarios strengthens the intermediary effect of data strategy implementation. Diverse data application scenarios can help managers deepen their understanding of operational situation, and promote data strategy in the enterprise departments effectively as well as improve the efficiency of collaborative innovation among different business departments. This study contributes to developing a deeper understanding of the source of digital transformation performance, and provides theoretical guidance and practical inspiration for enterprises to improve their digital transformation performance by strengthening the strategic data management. During the process of digital transformation, enterprises should pay attention to strengthening managers’ cognitive training of data strategy to enhance their understanding of the value of data strategy and accelerate the cohesion of data strategic consensus. In addition, enterprises should strengthen the process management of data strategy implementation and promote the coordinated implementation of data strategy among various departments through the establishment of system norms and unified standards of data collection, storage and analysis. Moreover, to better release of data value and improve the performance of digital transformation of enterprises, the development of digital application scenarios should be promoted from single point breakthrough to the entire enterprise.