ABSTRACT
A meta-analysis of 161 empirical studies analyzed technological capabilities (TC) through meta-analytical structure equation modeling (MASEM) and fuzzy-set qualitative comparative analysis (fsQCA). Our findings show that TC has mean positive effect size estimates across business outcomes. The combinative approach of TC presents different insights about its impact on various business outcomes. This approach highlights a theoretical view while attempting to understand the impact of TC on business outcomes.
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No potential conflict of interest was reported by the author(s).
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Supplemental data for this article can be accessed online at https://doi.org/10.1080/10580530.2024.2347528
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Notes on contributors
Angélica Pigola
Angélica Pigola is a post-doctorate candidate at Universidade Campinas (UNICAMP) and she is a PhD candidate in Management Information Technology at São Paulo Business School Fundação Getulio Vargas (FGV EAESP). She also holds a PhD in Administration at University Nove de Julho (UNINOVE) and earned an MSc in Administration in the same institution. Angélica serves as an assistant editor of the International Journal of Innovation (IJI) and has extensive experience in corporate digital transformation.
Priscila Rezende da Costa
Priscila Rezende da Costa is a full professor and the director of the Postgraduate Program in Administration at University Nove de Julho (UNINOVE). She also holds the position of Editor-in-chief of the International Journal of Innovation (IJI) and is an Editorial Member of Innovation & Management Review (IMR). Priscila completed her PhD in Business Administration at the University of São Paulo (FEARP/USP) and earned an MSc in Business Administration from the same institution. She leads the CNPq research group focusing on innovation strategy, company-university cooperation, dynamic capabilities, and internationalization.
Fernando de Souza Meirelles
Fernando de Souza Meirelles is a full professor and former dean at São Paulo Business School Fundação Getulio Vargas (FGV EAESP). He holds a PhD in Management Information Technology from FGV EAESP, an MSc in Engineering Management from Stanford University, and a bachelor’s degree in engineering from Harvard, MIT, and the University of Texas at Austin. Fernando is actively involved as a consultant and board member for various companies, associations, and organizations. Additionally, he is the founder and researcher at the Center of Applied Information Technology at FGV EAESP.