Abstract
Background: The business value (BV) of big data analytics (BDA) is well established, yet many studies rely on qualitative methods or subjective assessments. Following a post-adoption perspective, this study addresses the lack of objective, data-driven research by examining how firm size and industry concentration moderate the relationship between BDA adoption and financial performance. This research aims to foster a more in-depth exploration of contextual moderators.
Method: Employing the technology-organization-environment (TOE) framework as a theoretical lens, this study conducts a thorough 11-year investigation (2010 - 2020) through a text-mining approach based on objective measures from annual reports from 81 German firms listed on the stock market.
Results: The findings of this empirical approach indicate that firm size positively moderates the relationship between BDA adoption and financial performance, whereas the moderating effect of industry concentration is not statistically significant.
Conclusion: This study contributes to the understanding of contextual influences on the BV of BDA adoption. It underscores the relevance of organizational and environmental conditions in shaping performance outcomes and suggests that internal firm characteristics may be more critical than structural industry factors. Future research should explore additional moderators, such as data quality, industry information intensity, or data-driven culture, to further clarify the complex mechanisms linking BDA adoption and firm performance.
Recommended Citation
Hettler, Fabia Marie; Hüßing, Julian; Oesterreich, Thuy Duong; and Teuteberg, Frank, "Empirical Insights on Big Data Analytics and Financial Performance: A Technology-Organization-Environment Perspective" (2025). PAJAIS Preprints (Forthcoming). 51.
https://aisel.aisnet.org/pajais_preprints/51