Resource management in big data initiatives: Processes and dynamic capabilities

By Ashley Braganza, Laurence D. Brooks, Daniel Nepelski, Maged Ali, Russ A. Moro. 2017

324 citations recorded by the source corpus.

Effective management of organizational resources in big data initiatives is of growing importance. Although academic and popular literatures contain many examples of big data initiatives, very few are repeated in the same organization. This suggests either big data delivers benefits once only per organization or senior managers are reluctant to commit resources to big data on a sustained basis. This paper makes three contributions to the Special Issue's theme of enhancing organizational resource management. One is to establish an archetype business process for big data initiatives. The second contribution directs attention to creating a dynamic capability with big data initiatives. The third identifies drawbacks of resource based theory (RBT) and it's underpinning assumptions in the context of big data. The paper discusses lessons learnt and draws out implications for practice and business research. The paper's intellectual and practical contributions are based on an in-depth case study of the European ICT Poles of Excellence (EIPE) big data initiative and evidence from the extant literature.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/ce70f63b45e0398ceb5b6bb6515ab3ac3a25df5b

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In Management Information Systems

In Strategy and Management

Citations in the corpus

The role of ICT and innovation in enhancing organizational performance: The catalysing effect of corporate entrepreneurship (2017, background): “The applicability of this view to the information systems research stream has been demonstrated by several researchers (Braganza, Brooks, Nepelski, Ali, & Moro, 2017; Daniel & Wilson, 2003; Wade & Hulland, 2004).”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “…that a strong BDAC can not only help firms identify threats and opportunities, but it can also reinforce seizing of opportunities as insights are backed-up with empirical evidence and transform operations through incremental or radical adaptations in existing modes of doing business [41,68].”
Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation (2021, unknown): “Scholars have treated BDAC as both a facilitator of organisational DCs such as agility (Mikalef et al., 2019) and a DC itself (Braganza et al., 2017; Fosso Wamba et al., 2017), which needs to be continuously renovated in order to seize market opportunities and maintain a competitive advantage in…”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, unknown): “However, the key challenge is that big data erodes the theory VRIN’s (value, rarity, imperfect imitability and non-substitutability) assumptions (Braganza et al. 2017), as the core resource, data, is not rare.”
Role of big data analytics in developing sustainable capabilities (2019, background): “This requires decision makers to adopt a comprehensive and viable process that ensures returns from investments made in big data initiatives (Acharya et al., 2018; Braganza et al., 2017).”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, unknown): “…and opportunities, but it can also reinforce seizing of opportunities and transform operations through incremental or radical adaptations in existing modes of doing business, since insights are backed-up with empirical evidence (Braganza, Brooks, Nepelski, Ali, & Moro, 2017; LaValle et al., 2011).”