How does digital trust boost open innovation? Evidence from a mixed approach

IF 12.9 1区 管理学 Q1 BUSINESS
Jiangtao Chen, Wenyu Cai, Jiamei Luo, Hongyi Mao
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引用次数: 0

Abstract

As new digital technologies continue to emerge, the trust mechanisms in open innovation are increasingly being discussed. Although previous research has explored the positive moderating effect of technology on digital trust in open innovation, limited attention has been given to the roles of inter-firm knowledge sharing and digital orientation. This study proposes a moderated mediation model based on open innovation and knowledge-based theory to advance research on this topic. Results from a survey dataset of 157 companies indicate that digital trust significantly influences open innovation, with knowledge sharing mediating such relationship. Moreover, a strong digital orientation significantly enhances the effect of digital trust on open innovation. A following fuzzy set qualitative comparative analysis reveals a configuration perspective, showing that combining digital trust, sharing resources, sharing intensity, and digital orientation will affect open innovation. These results complement and refine previous regressions by identifying the conditions and paths through which digital trust affects the level of open innovation. Finally, a post hoc interview study involving 26 companies was conducted to confirm the complex relationships and reveal dynamic changes. This process also provided implementable strategies for enhancing digital trust and knowledge sharing. The mixed-method approach used in this study provides a deep understanding of the role mechanism of digital trust in open innovation from the theoretical and practical perspectives.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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