SRDI Enterprises Column

The Multi-reconfiguration Paths of Digital Innovation for SRDI and Non-SRDI Firms

  • Xing Xinpeng ,
  • Bao Jingming ,
  • Guan Hao ,
  • Liu Tiansen
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  • (1.School of Business, Jiangnan University, Wuxi 214122, China; 2. The Institute of Service-oriented Manufacturing, Hangzhou 311100, China; 3. School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

Received date: 2023-08-08

  Revised date: 2023-10-15

  Online published: 2025-02-25

Abstract

As a new force for innovation and development, SRDI firms are the backbone of improving the stability of the industrial chain and supply chain, and play an important role in promoting high-quality economic development. The widespread adoption of digital technologies has provided enterprises with innovation opportunities, and more and more enterprises have been participating in digital innovation to maintain competitive advantages, but in the digital innovation process, problems like fuzzy path, uncoordinated resource allocation, and insufficient digital capability hinder some enterprises from participating in digital innovation. Therefore, for both SRDI and non-SRDI firms, how to arrange resources to better realize digital innovation is a common focus. Differentiating the differences in the development paths of SRDI and non-SRDI firms can promote enterprises of different types to optimize the allocation of resources to carry out digital innovation, which is conducive to cultivating a good industry ecology, thus accelerating the construction of a modern industrial system.
Following the“context-configuration-capability” theory and the resource orchestration theory, this study uses the fuzzy set qualitative comparative analysis (fsQCA) method to explore the combined effects of external support, digital platform, resource flexibility, coordination flexibility, absorption capability, and digital collaboration capability of SRDI firms and non-SRDI firms on their digital innovation, in order to explore the configuration path and heterogeneity characteristics of high-level digital innovation in firms. The configuration paths of digital innovation of SRDI and non-SRDI firms are compared and analyzed to explore whether their innovation paths are much the same or utterly different, so as to further promote SRDI and non-SRDI firms to optimize resource allocation and carry out digital innovation.
Empirical results show that (1) external support, digital platform, resource flexibility, coordination flexibility, absorption capability, and digital collaboration capability cannot alone constitute the necessary conditions for digital innovation of SRDI firms and non-SRDI firms. Multiple factors need to work together in an orderly manner. (2) From the perspective of equivalence of results, there are two innovation governance configuration paths for digital innovation in SRDI firms, i.e.“configuration-led equilibrium” and “configuration-led with capability”. There are three innovation governance configuration paths for digital innovation of non-SRDI firms, i.e., “context-configuration co-dominated type”, “configuration-dominated type based on capability ”, and “configuration-capability co-dominated type”. (3) By comparing the configuration paths of digital innovation between SRDI firms and non-SRDI firms, it is found that the there are clear differences in the configuration paths: resource flexibility is a common core element, and the higher the flexibility of enterprise resources, the more conducive it is to coordinating and matching resource input into innovation activities. Heterogeneity analysis shows that digital platforms are the keys for SRDI firms to carry out digital innovation, while non-SRDI firms mainly rely on coordination flexibility and external support. The research results not only expand the driving factors of digital innovation, but also provide a path basis for SRDI firms and non-SRDI firms to promote modern digital innovation.
The research contributions of this paper are presented in three aspects. First, from the perspective of resource arrangement, the context-structure-capability (3C) framework is constructed to explore the combined influence of multiple factors on digital innovation, which provides a novel lens to analyze the driving factors of digital innovation. From the perspective of integration, the combined effect of driving factors is verified from context and structural ability. The 3C theory is applied to the research of digital innovation for the first time to explore how multi-dimensional factors drive enterprise digital innovation. Second, the study focuses on the market subject of SRDI and non-SRDI firms, compares and analyzes the digital innovation of SRDI firms and non-SRDI firms, which enrich the research objects in the field of digital innovation. Third,it responds to the previous research prospects and appeals of scholars, that is, the in-depth research on how to use digital platforms for innovation and how dynamic capabilities affect digital innovation. After considering multiple factors, the study introduces variables such as digital platform and absorption capacity, and reveals the internal mechanism of enterprises to promote digital innovation; it also provides reference significance for SRDI firms to realize digital innovation.

Cite this article

Xing Xinpeng , Bao Jingming , Guan Hao , Liu Tiansen . The Multi-reconfiguration Paths of Digital Innovation for SRDI and Non-SRDI Firms[J]. Science & Technology Progress and Policy, 2025 , 42(4) : 140 -149 . DOI: 10.6049/kjjbydc.H202308223

References

[1] ABRELL T, PIHLAJAMAA M, KANTO L, et al. The role of users and customers in digital innovation: insights from B2B manufacturing firms[J].Information & Management, 2016,53(3):324-335.
[2] RAMDANI B, RAJA S, KAYUMOVA M. Digital innovation in SMEs: a systematic review, synthesis and research agenda[J].Information Technology for Development, 2021,28(1):56-80.
[3] YOUSAF Z, RADULESCU M, SINISI C I, et al. Towards sustainable digital innovation of SMEs from the developing countries in the context of the digital economy and frugal environment[J].Sustainability, 2021,13(10):1-28.
[4] SRIVARDHANA T, PAWLOWSKI S D. ERP Systems as an enabler of sustained business process innovation: a knowledge-based view[J].The Journal of Strategic Information Systems, 2007,16(1):51-69.
[5] KHIN S, HO T C. Digital technology, digital technology, digital capability and organizational performance : a mediating role of digital innovation[J].International Journal of Innovation Science, 2019,11(2):177-195.
[6] NASIRI M, SAUNILA M, UKKO J, et al. Shaping digital innovation via digital-related capabilities[J].Information Systems Frontiers, 2020,25(3):1063-1080.
[7] 胡增玺,马述忠. 市场一体化对企业数字创新的影响——兼论数字创新衡量方法[J].经济研究,2023,58(6):155-172.
[8] 刘洋,董久钰,魏江. 数字创新管理:理论框架与未来研究[J].管理世界,2020,36(7):198-217,219.
[9] 王玉荣,段玉婷,卓苏凡. 工业互联网对企业数字创新的影响——基于倾向得分匹配的双重差分验证[J].科技进步与对策,2022,39(8):89-98.
[10] PESCH R, ENDRES H, BOUNCKEN R B. Digital product innovation management: balancing stability and fluidity through formalization[J].Journal of Product Innovation Management, 2021,38(6):726-744.
[11] TANG H, YAO Q, BOADU F, et al. Distributed innovation, digital entrepreneurial opportunity, IT-enabled capabilities, and enterprises' digital innovation performance: a moderated mediating model[J].European Journal of Innovation Management, 2022,26(4):1106-1128.
[12] ZHANG Y, GREGORY M, SHI Y J. Global engineering networks: the integrating framework and key patterns[J].Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2007,221(8):1269-1283.
[13] 周常宝,冯志红,林润辉,等. 从产品导向到生态导向:高科技企业创新生态系统的构建——基于大疆的纵向案例[J].管理评论,2023,35(3):337-352.
[14] ADNER R, HELFAT C E. Corporate effects and dynamic managerial capabilities[J].Strategic Management Journal, 2003, 24(10): 1011-1025.
[15] SIRMON D G, HITT M A, IRELAND R D, et al. Resource orchestration to create competitive advantage[J].Journal of Management, 2010,37(5):1390-1412.
[16] 张青,华志兵. 资源编排理论及其研究进展述评[J].经济管理,2020,42(9):193-208.
[17] LIU D Y, CHEN S W, CHOU T C. Resource fit in digital transformation[J].Management Decision, 2011,49(10):1728-1742.
[18] CORREANI A, MASSIS A D, FRATTINI F, et al. Implementing a digital strategy learning from the experience of three digital transformation projects[J].California Management Review, 2020,62(4):37-56.
[19] AKBULUT A Y. An investigation of the factors that influence electronic information sharing between state and local agencies[D].Louisiana: Louisiana State University and Agricultural & Mechanical College, 2003.
[20] KHATTAK A, TABASH M I, YOUSAF Z, et al. Towards innovation performance of SMEs: investigating the role of digital platforms, innovation culture and frugal innovation in emerging economies[J].Journal of Entrepreneurship in Emerging Economies, 2021,14(5):796-811.
[21] ZACHARIA Z G, NIX N W, LUSCH R F. Capabilities that enhance outcomes of an episodic supply chain collaboration[J].Journal of Operations Management, 2011,29(6):591-603.
[22] LI L, ZHU W W, WEI L, et al. How can digital collaboration capability boost service innovation? evidence from the information technology industry[J].Technological Forecasting and Social Change, 2022,182:121830.
[23] STROE S, PARIDA V, WINCENT J. Effectuation or causation: an fsQCA analysis of entrepreneurial passion, risk perception, and self-efficacy[J].Journal of Business Research, 2018,89:265-272.
[24] 张明,杜运周. 组织与管理研究中QCA方法的应用:定位、策略和方向[J].管理学报,2019,16(9):1312-1323.
[25] FISS P C. Building better causal theories——a fuzzy set approach to typologies in organization research[[J].Academy of Management Journal, 2011,54(2):393-420.
[26] 孙永波,丁沂昕,王楠. 资源拼凑与创业机会认知的对接路径[J].科研管理,2021,42(2):130-137.
[27] SCHOLZE A, HECKER A. Digital job demands and resources: digitization in the context of the job demands-resources model[J].International Journal of Environmental Research and Public Health, 2023, 20(16): 6581-6597.
[28] 孟凡生. 中国海洋能装备制造发展研究[M].北京:经济科学出版社,2023.
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