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From Industry 4.0 adoption to innovation ambidexterity to firm performance: a MASEM analysis

Author

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  • Stephen Oduro
  • Alessandro De Nisco

Abstract

Purpose - Informed by the resource-based view of the firm, dynamic capabilities theory and contingency theory, this study examines the impact of Industry 4.0 (IR4.0) technologies adoption on firm performance (FP) while accounting for the mediating role of innovation ambidexterity (IA) and moderating roles of contextual and methodological factors that drive the performance gains of the phenomenon. Design/methodology/approach - A random-effect model in comprehensive meta-analysis (CMA) is used to synthesize 113 studies in 115 independent samples with 192,188 observations. Findings - This analysis demonstrates that IR4.0 digital technologies are directly related to financial and non-financial performance, disclosing that the performance effect on non-financial is the largest. Moreover, there is acomplementary partial mediationrole of the impacts of IR4.0 on FP by IA. Furthermore, this focal relationship is moderated by boundary-spanning conditions: contextual factors – firm size, business type, economic development, industry sector and methodological factors – proxy of FP, sample size and study type. Practical implications - The results imply that IR4.0 produces financial and non-financial benefits by enabling firms to develop dynamic capabilities like innovation ambidexterity, which informs managers and practitioners that unless IR4.0 technologies and IA strategies are combined together to generate superior FP, IR4.0, in and of itself, would produce a less positive impact on FP than the combined impact of IR4.0 and IA. Therefore, managers should focus on converting IR4.0 resources to dynamic capabilities like IA by leveraging open innovation strategies or building IR4.0-based coordination mechanisms by creating cross-unit business synergies. Originality/value - To the best of the authors' knowledge, per the literature review, this is the first meta-analysis structural equation modeling study on the interplay between IR4.0, innovation ambidexterity and firm performance.

Suggested Citation

  • Stephen Oduro & Alessandro De Nisco, 2023. "From Industry 4.0 adoption to innovation ambidexterity to firm performance: a MASEM analysis," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 27(8), pages 3060-3082, June.
    • Handle: RePEc:eme:ejimpp:ejim-02-2023-0106
    DOI: 10.1108/EJIM-02-2023-0106
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    Cited by:

    1. Qihang Zhang & Jie Jiang, 2025. "The Role of Green Innovation Appropriability and Firm Performance: Evidence from the Chinese Manufacturing Industry," Sustainability, MDPI, vol. 17(2), pages 1-25, January.

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