Print Email Facebook Twitter Towards big data analytics embedment in business operations Title Towards big data analytics embedment in business operations: Perceiving trade‐offs between conflicting capabilities for embedding Big Data Analytics Author Steinfort, M.C.J.A. Contributor Herdeiro Teixeira, A.M. (mentor) van der Voort, H.G. (mentor) Janssen, M.F.W.H.A. (mentor) Faculty Technology, Policy and Management Department Engineering, Systems and Services Date 2017-02-20 Abstract Due to the popularity and complexity of Big Data Analytics (BDA), numerous articles have been published about embedding BDA in business operations. What they have in common is that they use the Resource Based View to assess where a firm need to be capable of to achieve this. However, in practice, capabilities for BDA can conflict with each other. This means that when one capability is developed, it hampers another capability. When both capabilities are developed, unforeseen problems can emerge in later stadiums of the project. Solving these problems is expensive and intensive. Questions emerge on how to perceive these trade-offs and how to consider them. The Resource Based View is incomplete on this part. Therefore, though exploratory research ten generic capabilities are defined that are important for embedding BDA. Conflicting interrelations between them are assessed whereby eight trade-offs are encountered. This perception of these trade-offs is assessed for different business units from the organisation for two case studies. In both case studies the Executive Management tends to underestimate and inconsistently perceive the majority of the trade-offs with respect to the other business units. Therefore, this study emphasises the importance of involving three perspectives when defining strategy for embedding BDA whereby unforeseen problems are aimed to be avoided Subject Big Data AnalyticsResourcesInnovation AdoptionBusiness IntelligenceCapabilitiesTrade-offsResource Based View To reference this document use: http://resolver.tudelft.nl/uuid:51171ad4-c67d-466a-bdb4-6db993ab392b Part of collection Student theses Document type master thesis Rights (c) 2017 Steinfort, M.C.J.A. Files PDF 2017 02 05 1829 Thesis re ... 353439.pdf 7.24 MB Close viewer /islandora/object/uuid:51171ad4-c67d-466a-bdb4-6db993ab392b/datastream/OBJ/view