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Knowledge-driven networking and ambidextrous innovation equilibrium in power systems transition

Zeyu Xing (School of Economics and Management, Wuhan University, Wuhan, China)
Tachia Chin (School of Management, Zhejiang University of Technology, Hangzhou, China)
Jing Huang (School of Management, Zhejiang University of Technology, Hangzhou, China)
Mirko Perano (Department of Management and Innovation Systems, University of Salerno, Salerno, Italy)
Valerio Temperini (Department of Management, Polytechnic University of Marche, Ancona, Italy)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 4 March 2024

143

Abstract

Purpose

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

Design/methodology/approach

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Findings

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

Practical implications

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

Originality/value

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

Keywords

Acknowledgements

This paper is supported by the National Natural Science Foundation of China (No. 72272136), the China Postdoctoral Science Foundation (Nos. 2023M742686), the National Funding for Postdoctoral Researchers' Innovation Program (GZC20231971), the Special Program of National Natural Science Foundation of China (Nos. 72243010), and Chinese National Funding of Social Sciences (Nos. 23CJY070 and Nos. 19ZDA083).

Data availability: Some or all data, models or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Competing interests: The author(s) declare no competing interests.

Ethical statements: This article does not contain any studies with human participants performed by any of the authors.

Erratum: It has come to the attention of the publisher that the article Xing, Z., Chin, T., Huang, J., Perano, M. and Temperini, V. (2024), “Knowledge-driven networking and ambidexterous innovation equilibrium in power systems transition”, Journal of Knowledge Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JKM-07-2023-0558, contained a spelling error in the title; this error was introduced during the production process. ‘Knowledge-driven networking and ambidexterous innovation equilibrium in power systems transition’ has been changed to ‘Knowledge-driven networking and ambidextrous innovation equilibrium in power systems transition’. The publisher sincerely apologises for this error and for any confusion caused.

Citation

Xing, Z., Chin, T., Huang, J., Perano, M. and Temperini, V. (2024), "Knowledge-driven networking and ambidextrous innovation equilibrium in power systems transition", Journal of Knowledge Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JKM-07-2023-0558

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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