Graham, G orcid.org/0000-0002-9908-4974, Meriton, R, Tew, B et al. (1 more author) (2016) How is Big Data Transforming Operations Models in the Automotive Industry: A Preliminary Investigation. In: Proceedings of the Eighth International Conference on Emerging Networks and Systems Intelligence. EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence, 09-13 Oct 2016, Venice, Italy. International Academy, Research, and Industry Association , pp. 65-68. ISBN 9781510830899
Abstract
Over the years, traditional car makers have evolved into efficient systems integrators dominating the industry through their size and power. However, with the rise of big data technology the operational landscape is rapidly changing with the emergence of the “connected” car. The automotive incumbents will have to harness the opportunities of big data, if they are to remain competitive and deal with the threats posed by the rise of new connected entrants (i.e. Tesla). These new entrants unlike the incumbents have configured their operational capabilities to fully exploit big data and service delivery rather than production efficiency. They are creating experience, infotainment and customized dimensions of strategic advantage. Therefore the purpose of this paper is to explore how “Big Data” will inform the shape and configuration of future operations models and connected car services in the automotive sector. It uses a secondary case study research design. The cases are used to explore the characteristics of the resources and processes used in three big data operations models based on a connected car framework.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 by International Academy, Research, and Industry Association (IARIA). This is an author produced version of a paper published in Proceedings of the Eighth International Conference on Emerging Networks and Systems Intelligence. |
Keywords: | big data; automotive industry; business model; operations model; connective capability |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Sep 2016 10:42 |
Last Modified: | 10 Jun 2018 03:49 |
Published Version: | https://www.iaria.org/conferences2016/EMERGING16.h... |
Status: | Published |
Publisher: | International Academy, Research, and Industry Association |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104713 |