Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business a
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Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business analytics culture Samuel Fosso Wamba1 · Maciel M. Queiroz2 · Lunwen Wu3 Uthayasankar Sivarajah4
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Accepted: 24 September 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract With the emergence of information and communication technologies, organizations worldwide have been putting in meaningful efforts towards developing and gaining business insights by combining technology capability, management capability and personnel capability to explore data potential, which is known as big data analytics (BDA) capability. In this context, variables such as sensing capability—which is related to the organization’s ability to explore the market and develop opportunities—and analytics culture—which refers to the organization’s practices and behavior patterns of its analytical principles—play a fundamental role in BDA initiatives. However, there is a considerable literature gap concerning the effects of BDA-enabled sensing capability and analytics culture on organizational outcomes (i.e., customer linking capability, financial performance, market performance, and strategic business value) and on how important the organization’s analytics culture is as a mediator in the relationship between BDA-enabled sensing capability and organizational outcomes. Therefore, this study aims to investigate these relationships. And to attain this goal, we developed a conceptual model supported by dynamics capabilities, BDA, and analytics culture. We then validated our model by applying partial least squares structural equation modeling. The findings showed not only the positive effect of the BDA-enabled sensing capability and analytics culture on organizational outcomes but also the mediation effect of the analytics culture. Such results bring valuable theoretical implications and contributions to managers and practitioners. Keywords Data analytics · Dynamic capabilities · Data-driven culture · Organizational outcomes · Sensing capabilities
1 Introduction The recent emergence and expansion of business analytics (Akter et al. 2020; Krishnamoorthi and Mathew 2018; Mishra et al. 2018; Mikalef et al. 2018; Liu and Yi 2018) and cuttingedge technologies based on data science (Waller and Fawcett 2013) has allowed organizations around the world to experiment new possibilities of transforming their business models (Guha
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Annals of Operations Research
and Kumar 2018; Aboelmaged and Mouakket 2020; Queiroz et al. 2020; Akter et al. 2020; Fosso Wamba et al. 2018; Boone et al. 2018; See-To and Ngai 2018). One of the most popular and influential approaches of business analytics is concerned with big data analytics (BDA) (Dubey et al. 2019b; Akter et al. 2019; Gandomi and Haider 2015; Fosso Wamba et al. 2017b; Mikalef et al. 2018). While big data is a term used to characterize a considerable volume of structured, semistructured, and un
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