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How Big Data Analytics are perceived as a driver for Competitive Advantage: A qualitative study on food retailers
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The recent explosion of digital data has led the business world to a new era towards a more evidence-based decision making. Companies nowadays collect, store and analyze huge amount of data and the terms such Big Data Analytics are used to define those practices. This paper investigates how Big Data Analytics (BDA) can be perceived and used as a driver for companies’ Competitive Advantage (CA). It thus contributes in the debate about the potential role of IT assets as a source of CA, through a Resource-Based View approach, by introducing a new phenomenon such as BDA in that traditional theoretical background. A conceptual model developed by Wade and Nevo (2010) is used as guidance, where the concept of synergy developed between IT assets and other organizational resources is seen as crucial in order to create such a CA. We focus our attention on the Food Retail industry and specifically investigate two case studies, ICA Sverige AB and Masoutis S.A. The evidence shows that, although this process is at an embryonic stage, the companies perceive the implementation of BDA as a key driver for the creation of CA. Efforts are put in place in order to develop successful implementation of BDA within the company as a strategic tool for several departments, however, some hurdles have been spotted which might impede that practice.

Place, publisher, year, edition, pages
2013. , 53 p.
Keyword [en]
Big Data, Big Data Analytics, Resource-Based View, Competitive Advantage, Retail Industry, ICA AB, Sweden, Masoutis S.A., Greece
National Category
Business Administration
URN: urn:nbn:se:uu:diva-205508OAI: diva2:641706
Subject / course
Business Studies
Social and Behavioural Science, Law
Available from: 2013-08-20 Created: 2013-08-19 Last updated: 2013-08-20Bibliographically approved

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Galletti & Papadimitriou - Master Thesis 2013(1028 kB)4119 downloads
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