ArticlePloS one2026
The impact of big data capabilities and business model innovation on new venture performance.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
This study develops a mediation framework grounded in dynamic capability and innovation theories to unpack how big data capabilities shape new venture performance through business model innovation. Valid survey responses from 400 Chinese startups operating less than eight years across seven core economic zones were gathered via stratified random sampling. We employed SPSS 24.0 and AMOS 24.0 to examine scale reliability, validity and confirmatory factor structures, alongside hierarchical regression and 5,000 bootstrap PROCESS simulations to estimate direct and mediating paths. Empirical outcomes confirm big data capabilities significantly lift venture performance and foster business model innovation. Meanwhile, business model innovation positively contributes to growth and partially mediates the focal relationship, with median split and outlier removal robustness tests validating all proposed hypotheses. This research extends dynamic capability theory to digital entrepreneurship within China's emerging market context, unpacks the full transmission chain linking data capacity, business model innovation and venture growth, adds localized empirical evidence to relevant entrepreneurship literature, and offers actionable strategies for resource-constrained startups to build competitiveness via digital upgrading and business model restructuring.
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