Making sense of Big Data – can it transform operations management?. Issue 1 (3rd January 2017)

• Record Type: Journal Article
• Authors: Matthias, Olga; Fouweather, Ian; Gregory, Ian; Vernon, Andy
• Is Part Of: International journal of operations & production management. Volume 37:Issue 1(2017)
• Page Start: 37
• Page End: 55
• Publication Date: 2017-01-03
• Subjects: Big Data -- Operational performance -- Methodology for operations management -- Business performance -- Data analysis; Production management -- Periodicals; Business logistics -- Periodicals; 658.5
• DOI: 10.1108/IJOPM-02-2015-0084
• Languages: English
• ISSNs: 0144-3577

Abstract

Abstract : Purpose: The purpose of this paper is to focus on the application and exploitation of Big Data (BD) to create competitive advantage. It presents a framework of application areas, and how they help the understanding of targeting and scoping specific areas for sustainable improvement. Empirical evidence demonstrates the application of BD in practice and tests the framework. Design/methodology/approach: An exploratory approach is adopted to the secondary research which examines vendors' offerings. The empirical research used the case study method. Findings: The findings indicate that there is opportunity to create sustainable competitive advantage through the application of BD. However there are social, technological and human consequences that are only now beginning to emerge which need to be addressed if true long-term advantage is to be achieved. Research limitations/implications: The research develops a framework and tests it only in two dimensions. This should be expanded. The vendor analysis limitations lie within the nature of the information available and the difficulties in mitigating against bias. Practical implications: The suggested framework can help academics and managers to identify areas of opportunity to do so, setting new levels of performance and new agendas for business. Originality/value: This work contributes to service operations management, building on Kranzberg (1986) and the impact of technology and on Fosso Wamba et al. (2015) by developing a systems application framework to further understanding of BD from a practical perspective to extend their research taxonomy insights. The case studies demonstrate how the use of BD enhances operational performance.