How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study

By Samuel Fosso Wamba, Shahriar Akter, Andrew Edwards, Geoffrey Chopin, Denis Gnanzou. 2015

1,707 citations recorded by the source corpus.

Subfields: Management Information Systems

View Paper: https://www.semanticscholar.org/paper/09e72c1ddaa2f5b26f6c3a04583005bddaa030c7

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In Management Information Systems

Citations in the corpus

A Survey on Big Data Market: Pricing, Trading and Protection (2018, background): “Yet, they are all interested in analyzing the data to extract and create actual commercial value [40].”
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020, background): “…Fragapane et al. 2020; Ghadge et al. 2020), a particular concern has been focused on how digitalisation and data analytics capabilities can be manifested in predicting future and identifying real-time events (Wamba et al. 2015, 2017; Wang et al. 2016; Papadopoulos et al. 2017; Altay et al. 2018).”
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “…[46,76], allow for a better understanding of consumer behavior, interactions, and experiences with a product or service [77,78], facilitate more detailed and real-time customer segmentation by coalescing data from a variety of sources [79,80], and help to better identify noncustomer groups [46].”
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, background): “…capture and report insights, where data are processed in higher volumes, with higher velocities and in greater variety (Buhl et al. 2013; Fosso Wamba et al. 2015; Vera-Baquero, Colomo-Palacios, and Molloy 2014) Cloud technology System for the provision of online storage services for all…”
A survey towards an integration of big data analytics to big insights for value-creation (2018, background): “Moreover, it represents the extent to which big data generates economically worthy insights and benefits through extraction and transformation (Wamba et al., 2015).”
Big data and disaster management: a systematic review and agenda for future research (2017, background): “…actionable insights for sustained competitive advantages” (Fosso Wamba et al., 2015), is now considered as a powerful tool that can transform all industries including manufacturing (Wilkins, 2013), retailing (Marr, 2015a), healthcare (Marr, 2015b) and emergency services (Fosso Wamba et al., 2015).”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, positive): “Furthermore, by leveraging BDAC’s firms can develop real-time resource allocation, better coordination, and dynamic asset movement (Wamba, Akter, Edwards, Chopin, & Gnanzou, 2015).”
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, background): “Previous studies (Akter et al., 2016; Gupta and George, 2016; Fosso Wamba et al., 2017; Fosso Wamba et al., 2017) have used RBV or dynamic capability view to explain the adoption of BDPA.”
Big data analytics capabilities: a systematic literature review and research agenda (2017, background): “These technologies extend traditional ones that were built to process data in batches, enabling the processing of continuous ﬂows of information in real time (Wamba et al. 2015).”
Data-driven supply chains, manufacturing capability and customer satisfaction (2017, background): “Practitioners and scholars have used the notion of the ‘5Vs’ of data – volume, variety, velocity, value and veracity – to describe the evolving phenomenon of big data (Fosso Wamba et al. 2015).”
The impact of big data on world-class sustainable manufacturing (2015, methodology): “The literature on the role of BDA in Operations and Supply Chain Management (OM/SCM) (for example Wamba et al., 2015) has argued for benefits from its use, including, inter alia , 15-20% increase in ROI (Perrey et al., 2013), productivity and competitiveness for companies and public sector, as well…”