A Meta-Analysis-Based Study on the Influencing Factors of Open Innovation

DOI: https://doi.org/10.62517/jmsd.202612119

Author(s)

Qiaoer Huang, Qian Liu*

Affiliation(s)

School of Business Administration, Baise University, Baise, Guangxi, China *Corresponding Author

Abstract

Open innovation serves as a crucial pathway for enhancing corporate performance. How to elevate corporate open innovation capabilities has garnered widespread attention. Although existing research has explored the influencing factors of open innovation from multiple perspectives, no consensus has been reached. We conducted an empirical study using meta-analysis on 52,558 independent samples from 74 literature sources. Key findings include: (1) The technological dimension (digital capability and technical capability), organizational dimension (absorptive capacity, knowledge management capability, and executive leadership), and environmental dimension (intellectual property protection and institutional environment) all exert significant positive effects on open innovation; (2) Cultural differences play a significant moderating role in the effects of absorptive capacity, executive leadership, and intellectual property protection on open innovation. The findings underscore the critical importance of these three dimensions in shaping open innovation outcomes, offering significant implications for corporate open innovation practices.

Keywords

Open Innovation; Influencing Factors; TOE Framework; Meta-Analysis

References

[1] Ebersberger B, Bloch C, Herstad S J, et al. Open innovation practices and their effect on innovation performance. International Journal of Innovation and Technology Management, 2012, 9(06): 1250040. [2] Xu C, Chen X, Chen J. Effect of digital transformation on open innovation. Technology Analysis & Strategic Management, 2025, 37(13): 4113-4126. [3] Naqshbandi M M, Tabche I. The interplay of leadership, absorptive capacity, and organizational learning culture in open innovation: Testing a moderated mediation model. Technological forecasting and social change, 2018, 133: 156-167. [4] Chen X. Q, Chen L. M. Digital Transformation, Customer Collaboration, and Open Innovation Performance. Productivity Research, 2024, (07): 112-117. [5] Shi Z. L, He J. S. Research on Enterprise Open Innovation Based on the Synergy of Technological Capabilities and Network Capabilities. Journal of Intelligence, 2011, 30(1): 99-103+98. [6] Sanni M. Drivers of eco-innovation in the manufacturing sector of Nigeria. Technological Forecasting and Social Change, 2018, 131: 303-314. [7] Ma W. J, Gao L. M. Research on Open Innovation Models Based on Different Motivations: The Case of Shenyang Machine Tool. Journal of Management Science, 2014, 11(2): 163-170. [8] Wang X. Y, Ma W. R. The Impact of Knowledge Management on the Performance of Manufacturing Enterprises. Science of Science Research, 2018, 36(12): 2223-2232. [9] Alameddine A. The mediating impact of knowledge-based HRM practices on the relationship between transformational leadership and open innovation. VINE Journal of Information and Knowledge Management Systems, 2025: 1-25. [10]Chen Y. C, Sun P. B, Wang H. M. Can Intellectual Property Protection Policies Promote Open Innovation in Enterprises? An Empirical Study Using the National Intellectual Property Demonstration City Policy as a Quasi-Experiment. Research in Economics and Management, 2023, 44(04): 90-107. [11]Li Y. J. A Study on the Mechanism of Enterprise Open Innovation from an Institutional Perspective. South China University of Technology, 2017. [12]Wei H. G, Li H. Competency Model for Insurance Salespeople: A Qualitative Meta-Analysis. Management Review, 2015, 27(7): 146-155. [13]Mark W. Lipsey, Wilson D B. Practical meta-analysis. Thousand Oaks, CA: Sage Publications, 2001. [14]Hunter J E, Schmidt F L. Methods of meta-analysis: Correcting error and bias in research findings. Sage, 2004.