Business analytics and firm performance: The mediating role of business process performance

By Arafat Salih Aydiner, Ekrem Tatoğlu, Erkan Bayraktar, Selim Zaim, Dursun Delen. Journal of business research, 2019

317 citations recorded by the source corpus.

Abstract Due to the rapidly increasing popularity of business analytics (BA), investigation of the antecedents/determinants of the adoption of BA and the subsequent impact of the same to the firm performance has become an important research topic. Drawing on the fundamentals of the resource-based view (RBV), this study proposes a model that examines the effects of the BA adoption on business process performance (BPER) and the mediating role that BPER plays in the relationship between the adoption of BA and firm performance (FP). Based on the data collected from 204 medium- to high-level business executives in various industries, the results of this empirical study indicate that the adoption of BA positively influences BPER. There is also positive relationship between BPER and FP. Finally, the results show that BPER fully mediates the relationship between BA adoption and FP.

Subfields: Management Information Systems, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/ae62806cb193ac6473d5d13f423ae1351d833158

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Citations in the corpus

Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019, background): “2019) and technological innovation (Singh, 2011; Chen et al. 2015; Aydiner et al. 2019) are two important building blocks of competitive advantage.”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, unknown): “Only few studies utilize a theory-focused approach to explain how BDPA can help to achieve enhanced performance (see Chen et al., 2015; Gunasekaran et al., 2017; Srinivasan and Swink, 2018; Aydiner et al., 2019).”
Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (2020, methodology): “data has no value without the tools by which deeper insights can be extracted from it (Chen et al., 2012; Waller and Fawcett, 2013; Gandomi and Haider, 2015; Aydiner et al., 2019).”