How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers
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...
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Uppsala universitet, Företagsekonomiska institutionen
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ndltd-UPSALLA1-oai-DiVA.org-uu-2055082013-08-21T05:17:17ZHow Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailersengGalletti, AlessandroPapadimitriou, Dimitra-ChristinaUppsala universitet, Företagsekonomiska institutionenUppsala universitet, Företagsekonomiska institutionen2013Big DataBig Data AnalyticsResource-Based ViewCompetitive AdvantageRetail IndustryICA ABSwedenMasoutis S.A.GreeceThe 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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-205508application/pdfinfo:eu-repo/semantics/openAccess |
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Big Data Big Data Analytics Resource-Based View Competitive Advantage Retail Industry ICA AB Sweden Masoutis S.A. Greece |
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Big Data Big Data Analytics Resource-Based View Competitive Advantage Retail Industry ICA AB Sweden Masoutis S.A. Greece Galletti, Alessandro Papadimitriou, Dimitra-Christina How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers |
description |
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. |
author |
Galletti, Alessandro Papadimitriou, Dimitra-Christina |
author_facet |
Galletti, Alessandro Papadimitriou, Dimitra-Christina |
author_sort |
Galletti, Alessandro |
title |
How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers |
title_short |
How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers |
title_full |
How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers |
title_fullStr |
How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers |
title_full_unstemmed |
How Big Data Analytics are perceived as a driver for Competitive Advantage : A qualitative study on food retailers |
title_sort |
how big data analytics are perceived as a driver for competitive advantage : a qualitative study on food retailers |
publisher |
Uppsala universitet, Företagsekonomiska institutionen |
publishDate |
2013 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-205508 |
work_keys_str_mv |
AT gallettialessandro howbigdataanalyticsareperceivedasadriverforcompetitiveadvantageaqualitativestudyonfoodretailers AT papadimitrioudimitrachristina howbigdataanalyticsareperceivedasadriverforcompetitiveadvantageaqualitativestudyonfoodretailers |
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