Big data analytics capability in supply chain agility
By Rameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe. Management Decision, 2019
295 citations recorded by the source corpus.
Purpose The purpose of this paper is to examine when and how organizations build big data analytics capability (BDAC) to improve supply chain agility (SCA) and gain competitive advantage. Design/methodology/approach The authors grounded the theoretical framework in two perspectives: the dynamic capabilities view and contingency theory. To test the research hypotheses, the authors gathered 173 usable responses using a pre-tested questionnaire. Findings The results suggest that BDAC has a positive and significant effect on SCA and competitive advantage. Further, the results support the hypothesis that organizational flexibility (OF) has a positive and significant moderation effect on the path joining BDAC and SCA. However, contrary to the belief, the authors found no support for the moderation effect of OF on the path joining BDAC and competitive advantage. Originality/value The study makes some useful contributions to the literature on BDAC, SCA, OF, and competitive advantage. Moreover, the results may further motivate future scholars to replicate the findings using longitudinal data.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/ca5931b4c08eb96d40c65e1b9f8e4db46bf0585b
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In Management Information Systems
- Surajit Bag
- Jamal El Baz
- Salomée Ruel
- Ajay Kumar
- Shivam Gupta
- Uthayasankar Sivarajah
- Dmitry A. Ivanov
In Strategy and Management
- Liebing Cao
- Surajit Bag
- Jamal El Baz
- Huihui Zhong
- Salomée Ruel
- Ajay Kumar
- Shivam Gupta
- Uthayasankar Sivarajah
Citations in the corpus
- Facilitating speed of internationalization: The roles of business intelligence and organizational agility (2020, background): “, 2015), while analytical capability concerns the effective deployment of analytical methods to transform business data into valuable decision-making knowledge (Chen et al., 2012; Dubey et al., 2019).”
- Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era (2020, methodology): “…scholars have extensively made use of RBV and dynamic capabilities concept in the context of SC (e.g. Aslam et al., 2020; Chowdhury et al., 2019; Dubey et al., 2019; Gruchmann and Seuring, 2018; Hong et al., 2018; Hsin-Lu, 2011; Riley et al., 2016; Wamba et al., 2017; Yao and Fabbe-Costes,…”
- An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance (2021, background): “Big data powered AI technology (BDAI) acts as a key technological enabler in this digital age (Dubey et al., 2019), particularly for knowledge creation and decision making (Duan, Edwards, & Dwivedi, 2019).”
- Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage (2021, background): “This research supports previous research that states that SC resilience impacts sustainable advantage in companies [17,18,38,40,44].”