Impact of big data analytics on innovation performance: the mediating role of team dynamics

Purpose – This study aims to examine the impact of big data analytics (BDA) on innovation performance (IPF) in the IT sector, with a focus on the mediating roles of team innovation culture (TIC), team reflexivity (TR), and team entrepreneurial passion (TEP). Design/methodology/approach – A survey was conducted among 422 senior IT professionals in Peru. Data were analyzed using partial least squares structural equation modeling to test both direct and indirect relationships between BDA and IPF, incorporating TIC, TR, and TEP as mediators. Findings – Results show that BDA has a significant positive effect on IPF. While BDA also positively impacts TIC and TR, these factors do not significantly mediate the relationship between BDA and IPF. However, TEP emerges as a significant partial mediator, highlighting its role in translating data insights into innovation outcomes. Research limitations/implications – The cross-sectional design limits causal inference. Future studies should investigate the longitudinal effects and explore additional mediators, such as organizational readiness and knowledge-sharing practices. Practical implications – IT firms should foster entrepreneurial passion within teams and align BDA strategies with innovation goals to drive performance. Originality/value – To the best of the authors’ knowledge, this study is among the first to examine TEP as a mediator between BDA and IPF, combining resource-based view and social learning theory to explain how team dynamics shape data-driven innovation.