知识产权与创新

数字化转型背景下企业知识数字化与创新绩效

  • 程强 ,
  • 傅益霖 ,
  • 李镜
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  • (1.西南石油大学 经济管理学院,四川 成都 610500;2.四川省科学技术发展战略研究院,四川 成都 610041)
程强(1986—),男,四川成都人,博士,西南石油大学经济管理学院副教授、硕士生导师,研究方向为创新管理与知识管理;傅益霖(1999—),男,河南平顶山人,西南石油大学经济管理学院硕士研究生,研究方向为创新管理与知识管理;李镜(1982—),女,四川绵竹人,四川省科学技术发展战略研究院副研究员,研究方向为科技政策与科技管理。通讯作者:李镜。

收稿日期: 2024-03-28

  修回日期: 2024-07-02

  网络出版日期: 2025-08-25

基金资助

国家社会科学基金项目(2023XGL030)

Enterprise Knowledge Digitization and Innovation Performance in the Context of Digital Transformation

  • Cheng Qiang ,
  • Fu Yilin ,
  • Li Jing
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  • (1.School of Economics and Management, Southwest Petroleum University, Chengdu, 610500, China;

Received date: 2024-03-28

  Revised date: 2024-07-02

  Online published: 2025-08-25

摘要

数字化转型是企业实现创新的重要路径,然而将数字化理论与知识管理理论相结合,探讨其对企业创新绩效影响的研究较匮乏。提出知识数字化概念,通过建立有调节的中介模型,基于中国243家企业调研数据,进行多元线性回归以及结构方程模型分析,探究企业知识数字化对创新绩效的影响,以及研发探索能力的中介作用和企业家导向的调节作用。结果表明:企业知识数字化对创新绩效具有显著正向影响,研发探索能力在此过程中发挥部分中介作用,且该作用受到企业家导向的正向调节,即企业家导向会强化研发探索能力的中介作用。研究结论扩展了数字技术对知识管理影响的研究视角,可为企业进行知识数字化转型、提升创新绩效提供实践参考。

本文引用格式

程强 , 傅益霖 , 李镜 . 数字化转型背景下企业知识数字化与创新绩效[J]. 科技进步与对策, 2025 , 42(16) : 133 -143 . DOI: 10.6049/kjjbydc.2024030769

Abstract

Innovation drives productivity, economic growth, and social advancement. Amidst business pressures, how to improve the innovation performance of enterprises has become the most concerning issue for entrepreneurs. Digital technology, as a key driving force in the era of the digital economy, is leading industrial change, reshaping enterprise production methods, and promoting the emergence and development of new business forms and new models. Digital transformation accelerates innovation and provides a clear direction for growth and value creation. Enterprise digital transformation refers to the process of triggering significant changes in physical attributes with the help of a combination of digital technologies, such as information, computing, and communication, to facilitate the evolution of the business entity. Most scholars have a more consistent view of the relationship between digital transformation and enterprises' innovation performance and believe that it can positively affect enterprise innovation performance. However, scholars widely agree it positively impacts innovation performance, though research often overlooks the digitization of production factors within enterprises and their influence.
A major feature of the current economic environment is the knowledge economy, in which knowledge is the most important production factor and core asset of the enterprise, and a key resource for enterprises to maintain strong innovation vitality. Knowledge digitization, by changing the existing form of knowledge resources and giving them new characteristics, may open up the existing barriers and provide a boost to the enterprises innovative behavior and performance. Therefore, this study focuses on the impact of enterprise knowledge digitization on enterprise innovation performance, and deeply explores the process and mechanism of enterprise knowledge digitization on enterprise innovation performance.
This research first proposes the concept of knowledge digitization, and establishes a mediation model with moderation, aiming to investigate the impact of knowledge digitization of enterprises on innovation performance, as well as the mediating role of R&D exploration capability and the moderating role of entrepreneurial orientation. Using the research data of 243 enterprises in China, this research uses SPSS for multiple linear regression tests and AMOS for structural equation modeling tests, and the results show that (1)knowledge digitization and its codability, convergence, and generativity have significant positive impacts on enterprise innovation performance; (2)R&D exploration capability plays a mediating role in those processes; (3)entrepreneurial orientation positively moderates the relationship between R&D exploratory capability and enterprise innovation performance. These conclusions are in line with the current knowledge management theory and enterprise innovation practice in the context of digital transformation.
When knowledge becomes a digital resource, it can break the time and space limitations in the rapid dissemination speed of digital technology,and greatly shorten the cycle of knowledge flow, increase the opportunity for knowledge integration and reorganization, thus helping enterprises to promote the development of new products, the construction of new business models, and the improvement of the benefits brought by innovation.
The contribution of this research focuses on the following points. First, it proposes the concept of knowledge digitization. In the field of knowledge management, the possibility of using digital technology to change the form of knowledge existence and its impact has not been considered; in the field of digital transformation, the mechanism of the impact of digitized enterprise production factors on enterprise innovation performance has not been clarified. This research proposes the concept of knowledge digitization by combining the knowledge management theory with the digital empowerment theory, which complements and improves the existing research in the field of digital transformation and knowledge management. Second, this research verifies the mechanism of knowledge digitization's impact on enterprise innovation performance. Knowledge digitization as a brand new concept, needs to be further excavated for its impact mechanism on enterprise innovation performance. This study chooses R&D exploration capability as the mediator variable and entrepreneurial orientation as the moderator variable, constructs and validates a model of the impact of knowledge digitization on enterprise innovation performance, which opens this “black box”. Finally, this study offers management insights on how to promote knowledge digitization, enhance R&D exploration capability and improve entrepreneurial orientation, providing a reference for innovation strategies in the knowledge and digital economy contexts.

参考文献

[1] DASILVA C M. Understanding business model innovation from a practitioner perspective[J]. Journal of Business Models, 2018,6(2): 19-24.
[2] VIAL G. Understanding digital transformation: a review and a research agenda[J]. Managing Digital Transformation, 2021,14(7): 13-66.
[3] LI F .The digital transformation of business models in the creative industries: a holistic framework and emerging trends[J].Technovation, 2020, 13(5):92-93.
[4] AUTIO E,NAMBISAN S,THOMAS L D W ,et al.Digital affordances, spatial affordances, and the genesis of entrepreneurial ecosystems[J].Social Science Electronic Publishing,2024,13(5):92-93.
[5] MAGNI D, CHIERICI R, FAIT M, et al. A network model approach to enhance knowledge sharing for internationalization readiness of SMEs[J]. International Marketing Review, 2021,13(7):32-40.
[6] TRANTOPOULOS K, VON KROGH G, WALLIN M W, et al. External knowledge and information technology:implications for process innovation performance[J]. MIS Quarterly, 2017, 41(1): 287-300.
[7] DUAN Y, LIU S, CHENG H, et al. The moderating effect of absorptive capacity on transnational knowledge spillover and the innovation quality of high-tech industries in host countries: evidence from the Chinese manufacturing industry[J]. International Journal of Production Economics, 2021, 233: 108019.
[8] CHENG Q, LIU Y, PENG C, et al. Knowledge digitization: characteristics, knowledge advantage and innovation performance[J]. Journal of Business Research, 2023, 163: 113915.
[9] 肖静华,李文韬.智能制造对企业战略变革与创新的影响——资源基础变革视角的探析[J]. 财经问题研究, 2020,35(2): 38-46.
[10] CASTAGNA F, CENTOBELLI P, CERCHIONE R, et al. Customer knowledge management in SMEs facing digital transformation[J]. Sustainability, 2020, 12(9): 3899.
[11] HAEFNER N, WINCENT J, PARIDA V, et al. Artificial intelligence and innovation management: a review, framework, and research agenda[J]. Technological Forecasting and Social Change, 2021, 162: 120392.
[12] TILSON D, LYYTINEN K, SRENSEN C. Research commentary—digital infrastructures: the missing IS research agenda[J]. Information Systems Research, 2010, 21(4): 748-759.
[13] HANSEN M T, NOHRIA N, TIERNEY T. What's your strategy for managing knowledge [M].London:Routledge, 2013: 55-69.
[14] LEMA M A, LAYA A, MAHMOODI T, et al. Business case and technology analysis for 5G low latency applications[J]. IEEE Access, 2017, 5: 5917-5935.
[15] NAMBISAN S, LYYTINEN K, MAJCHRZAK A, et al. Digital innovation management[J]. MIS Quarterly, 2017, 41(1): 223-238.
[16] 张超,陈凯华,穆荣平.数字创新生态系统:理论构建与未来研究[J].科研管理,2021,42(3):1-11.
[17] JONSSON K, MATHIASSEN L, HOLMSTR OM J. Representation and mediation in digitalized work: evidence from maintenance of mining machinery[J]. Journal of Information Technology, 2018, 33:216-232.
[18] MARDANI A, NIKOOSOKHAN S, MORADI M, et al. The relationship between knowledge management and innovation performance[J]. The Journal of High Technology Management Research, 2018, 29(1): 12-26.
[19] 池毛毛,叶丁菱,王俊晶,等.我国中小制造企业如何提升新产品开发绩效——基于数字化赋能的视角[J].南开管理评论,2020,23(3):63-75.
[20] 杜小民,单标安,闫双慧,等.数字经济背景下顾客参与、知识共享对科技型新创企业技术商业化能力的影响[J].科技进步与对策,2023,40(13):71-80.
[21] 晏梦灵,董小英,余艳.多层次组织学习与企业研发双元能力构建——以华为IPD系统实施为例[J].研究与发展管理,2016,28(4):72-86.
[22] TONG J, YUAN X. Research on knowledge output mechanism base on big data search engine[J]. Information Science,2018,36(3):33-38.
[23] LENNERTS S, SCHULZE A, TOMCZAK T. The asymmetric effects of exploitation and exploration on radical and incremental innovation performance: an uneven affair[J]. European Management Journal, 2020, 38(1): 121-134.
[24] LEE O K, SAMBAMURTHY V, LIM K H, et al. How does IT ambidexterity impact organizational agility [J]. Information Systems Research, 2015, 26(2): 398-417.
[25] 唐彬,卢艳秋,叶英平.大数据能力视角下平台企业知识创造模型研究[J]. 情报理论与实践 ,2020,34(7):123-129.
[26] 郭润萍,尹昊博,陆鹏.竞合战略、双元能力与数字化新创企业成长[J].外国经济与管理,2022,44(3):118-135.
[27] SCUOTTO, VERONICA, et al. Ambidextrous innovation orientation effected by the digital transformation: a quantitative research on fashion SMEs[J]. Business Process Management Journal ,2020,26(5): 1121-1140.
[28] DENG H, DUAN S X, WIBOWO S. Digital technology driven knowledge sharing for job performance[J]. Journal of Knowledge Management, 2023, 27(2): 404-425.
[29] FORMAN C, VAN ZEEBROECK N. Digital technology adoption and knowledge flows within firms:can the internet overcome geographic and technological distance [J]. Research Policy, 2019, 48(8): 103697.
[30] STACHOV K, STACHO Z, CAGNOV D, et al. Use of digital technologies for intensifying knowledge sharing[J]. Applied Sciences, 2020, 10(12): 4281.
[31] FIRK S, GEHRKE Y, HANELT A, et al. Top management team characteristics and digital innovation: exploring digital knowledge and TMT interfaces[J]. Long Range Planning, 2022, 55(3): 102166.
[32] 张延平,冉佳森.创业企业如何通过双元能力实现颠覆性创新——基于有米科技的案例研究[J].中国软科学,2019,38(1):117-135.
[33] 范雅楠,云乐鑫.知识获取方式对制造型企业创新绩效影响的实证研究——基于营销探索与营销开发的视角[J].科学学与科学技术管理,2016,37(10):74-85.
[34] 肖静华,吴瑶,刘意,等.消费者数据化参与的研发创新——企业与消费者协同演化视角的双案例研究[J].管理世界,2018,34(8):154-173,192.
[35] MAHMOOD T, MUBARIK M S. Balancing innovation and exploitation in the fourth industrial revolution: role of intellectual capital and technology absorptive capacity[J]. Technological Forecasting and Social Change,2020, 160: 120248.
[36] MILLER D.The correlates of entrepreneurship in three types of firms[J].Management Science,1983,29(7):770- 791.
[37] 路畅,于渤.外部合作与中小企业创新绩效——基于企业家导向及合作经验的调节效应检验[J].技术经济,2021,40(10):35-44.
[38] SMITH WENDY K, MICHAEL L TUSHMAN. Managing strategic contradictions: a top management model for managing innovation streams[J]. Organization Science,2005,16(5): 522-536.
[39] 张振刚,张君秋,叶宝升,等.企业数字化转型对商业模式创新的影响[J].科技进步与对策,2022,39(11):114-123.
[40] 冯文娜,刘如月.非家族CEO企业家导向、家族涉入与企业二元式创新的关系研究[J].中央财经大学学报,2018,35(4):90-103.
[41] SANTORO G,QUAGLIA R,PELLICELLCELLI A C,et al. The interplay among entrepreneur,employees,and firm level factors in explaining SMEs openness:a qualitative micro-foundational approach[J]. Technological Forecasting and Social Change,2020,151:1-9.
[42] 杨卓尔,高山行.战略柔性在分维度企业家导向与原始性创新的中介作用[J].管理评论,2020,32(3):136-151.
[43] YOO Y, BOLAND JR R J, LYYTINEN K, et al. Organizing for innovation in the digitized world[J]. Organization Science, 2012, 23(5): 1398-1408.
[44] 阳银娟,陈劲.开放式创新中市场导向对创新绩效的影响研究[J].科研管理,2015,36(3):103-110.
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