Big data analytics and firm performance: Effects of dynamic capabilities

By Samuel Fosso Wamba, Angappa Gunasekaran, Shahriar Akter, S. Ren, Rameshwar Dubey, Stephen J. Childe. 2017

2,124 citations recorded by the source corpus.

Drawing on the resource-based view and the literature on big data analytics (BDA), information system (IS) success and the business value of information technology (IT), this study proposes a big data analytics capability (BDAC) model. The study extends the above research streams by examining the direct effects of BDAC on firm performance (FPER), as well as the mediating effects of process-oriented dynamic capabilities (PODC) on the relationship between BDAC and FPER. To test our proposed research model, we used an online survey to collect data from 297 Chinese IT managers and business analysts with big data and business analytic experience. The findings confirm the value of the entanglement conceptualization of the hierarchical BDAC model, which has both direct and indirect impacts on FPER. The results also confirm the strong mediating role of PODC in improving insights and enhancing FPER. Finally, implications for practice and research are discussed.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/752604994a7ca548ff2954114fc61a501d857b1c

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Citations in the corpus

Big data analytics adoption: Determinants and performances among small to medium-sized enterprises (2020, background): “BDA has become a stimulus that can maximize the efficiency and effectiveness of firms due to its high operational and strategic benefits (Ji-fan Ren, Wamba, Akter, Dubey, & Childe, 2017; Wamba et al., 2017).”
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms (2021, methodology): “Several studies have conceptualised BDA on the dynamic capabilities view, wherein they argue that BDA is an organisational resource associated with building dynamic capabilities (e.g. Singh and El-Kassar 2019; Wamba et al. 2017; Kamble and Gunasekaran 2020).”
Impact of Industry 4.0 on supply chain performance (2020, background): “These technological innovations, through quick and advanced analysis of data, can provide insights for substantial performance improvements within supply chain processes (Wamba et al. 2017; Nelissen and Schip 2014; de Oliveira, McCormack and Trkman 2012; Trkman et al. 2010).”
Assessing the impact of big data on firm innovation performance: Big data is not always better data (2020, result): “Whereas some studies argue for the existence of a positive relationship between big data and firm performance (Chen, Preston, & Swink, 2015; Wamba et al., 2017), other studies suggest the use of big data may not lead to improved firm performance (Ghasemaghaei, Hassanein, et al., 2017; Ghasemaghaei,…”
An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance (2021, methodology): “The endogenous construct i.e. firm performance measures the financial and marketing performance of the firm; for instance, ability to retain customers much better than competitors, improvement in ROI and market share (Wamba et al., 2017).”
The use of Big Data Analytics in healthcare (2022, background): “In the healthcare sector, Big Data Analytics is expected to improve the quality of life and reduce operational costs [72, 82].”
Big data analytics capabilities: a systematic literature review and research agenda (2017, background): “To this end, several recent studies attempt to examine the influence of BDA capabilities on enabling various forms of organizational capabilities (Xu et al., 2016; Pappas et al., 2016; Wamba et al., 2017).”
Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance (2021, background): “BDA has frequently been discussed by scholars with a dynamic capability perspective to explore the relationship between BDA capabilities and organizational performance (Wamba et al., 2017).”
Resources and digital export: An RBV perspective on the role of digital technologies and capabilities in cross-border e-commerce (2021, background): “…analytics to create value (Davenport, 2017) and argued that firms possessing them can achieve a competitive performance advantage by contributing to more satisfying customer journeys and e-commerce experiences (Akter et al., 2016; Wamba et al., 2017; Vakulenko, Shams, Hellstrom and Hjort, 2019).”
Achieving superior organizational performance via big data predictive analytics: A dynamic capability view (2019, background): “(Wamba et al., 2017) have shown the potential to elevate performance to a desired level.”