Does knowledge search enhance innovation performance in Chinese enterprises? A meta analysis
Abstract
Purpose
This paper aims to extract the universal results or conclusions with high value from the existing research conclusions, further compares the research results of knowledge search and its various dimensions on the impact of enterprise innovation performance in the existing research and supports the decision of which knowledge search to give priority to in the context of limited resources.
Design/methodology/approach
Based on the resource-based theory and resource dependence theory, this paper uses meta meta-analysis method to quantitatively synthesize multiple representative literature on the relationship between knowledge search and enterprise innovation performance, build a theoretical model of knowledge search and its dimensions and enterprise innovation performance and explore the internal mechanism of enterprises to improve innovation performance through knowledge search.
Findings
The results show the following: knowledge search behavior promotes the innovation performance of Chinese enterprises; expanding the width of knowledge search and deepening the depth of knowledge search have a positive impact on improving the innovation performance of Chinese enterprises; enterprise scale, industry field, development stage and other factors regulate the contribution of knowledge search width and depth to improving the innovation performance of Chinese enterprises.
Originality/value
This paper effectively clarifies the regulatory role of each dimension of knowledge search, makes reasonable explanations for different conclusions that are ambiguous or conflicting and answers questions like how knowledge search is related to enterprise innovation performance and what kind of knowledge search is more effective so as to provide some useful practical guidance and inspiration for enterprises to carry out innovation activities.
Keywords
Acknowledgements
This paper is supported by the National Natural Science Foundation of China (Grant numbers: 72074056, 72374051, 72004036).
Competing interests: The authors have no financial or proprietary interests in any material discussed in this article.
Authors’ contribution: Zeming Song, Material preparation, Data collection, Data analysis, Drafting of manuscript, First draft of the manuscript. Guangyu Zhang, Material preparation, Data collection, Data analysis, Haiwen Dai, Material preparation, Data collection, Data analysis. All authors commented on previous versions of the manuscript, and all authors contributed to the study’s conception and design and approved the final manuscript.
Data availability statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Citation
Song, Z., Zhang, G. and Dai, H. (2024), "Does knowledge search enhance innovation performance in Chinese enterprises? A meta analysis", Chinese Management Studies, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CMS-10-2022-0369
Publisher
:Emerald Publishing Limited
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