Big data analytics: from leadership to firm performance

Alex A. Koohang · Carol Springer Sargent · Zuopeng Zhang · Angelica Marotta

17 citations0/0 files storedIndustrial Management & Data Systems

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Big Data and Business Intelligence AI and HR Technologies Big Data Technologies and Applications

Abstract

Purpose This paper aims to propose a research model with eight constructs, i.e. BDA leadership, BDA talent quality, BDA security quality, BDA privacy quality, innovation, financial performance, market performance and customer satisfaction. Design/methodology/approach The research model focuses on whether (1) Big Data Analytics (BDA) leadership influences BDA talent quality, (2) BDA talent quality influences BDA security quality, (3) BDA talent quality influences BDA privacy quality, (4) BDA talent quality influences Innovation and (5) innovation influences a firm's performance (financial, market and customer satisfaction). An instrument was designed and administered electronically to a diverse set of employees (N = 188) in various organizations in the USA. Collected data were analyzed through a partial least square structural equation modeling. Findings Results showed that leadership significantly and positively affects BDA talent quality, which, in turn, significantly and positively impacts security quality, privacy quality and innovation. Moreover, innovation significantly and positively impacts firm performance. The theoretical and practical implications of the findings are discussed. Recommendations for future research are provided. Originality/value The study provides empirical evidence that leadership significantly and positively impacts BDA talent quality. BDA talent quality, in turn, positively impacts security quality, privacy quality and innovation. This is important, as these are all critical factors for organizations that collect and use big data. Finally, the study demonstrates that innovation significantly and positively impacts financial performance, market performance and customer satisfaction. The originality of the research results makes them a valuable addition to the literature on big data analytics. They provide new insights into the factors that drive organizational success in this rapidly evolving field.

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References

1990Absorptive Capacity: A New Perspective on Learning and Innovation 2018When to use and how to report the results of PLS-SEM 2012Business Intelligence and Analytics: From Big Data to Big Impact 2004Benchmarking Marketing Capabilities for Sustainable Competitive Advantage 2004Leader behaviors and the work environment for creativity: Perceived leader support 2015Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda 2012Americans Do IT Better: US Multinationals and the Productivity Miracle 2018Creating Strategic Business Value from Big Data Analytics: A Research Framework

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