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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24560

Title: A research agenda on Data Supply Chains (DSC)
Authors: Spanaki, Konstantina
Adams, Richard
Mulligan, Catherine
Lupu, Emil
Keywords: Data Supply Chain (DSC)
Supply Chain Management (SCM)
Supply Chain Collaboration (SCC)
Survey research
Structural Equation Modelling (SEM)
Issue Date: 2016
Publisher: British Academy of Management (© the authors)
Citation: SPANAKI, K. ... et al, 2016. A research agenda on Data Supply Chains (DSC). British Academy of Management (BAM) Conference, Newcastle, UK, 6th-8th July 2016
Abstract: Competition among organizations supports initiatives and collaborative use of data while creating value based on the strategy and best performance of each data supply chain. Supporting this direction, and building on the theoretical background of the supply chain, we propose the Data Supply Chain (DSC) as a novel concept to aid investigations for data-driven collaboration impacting organizational performance. In this study we initially propose a definition for the DSC paying particular attention to the need for collaboration for the supply chains of data. Furthermore, we develop a conceptual model of DSC collaboration coupling theoretical background of strategy and operations literature including, the resource-based view (RBV), supply chain management (SCM) and collaboration (SCC). Finally, we set propositions and a future research agenda including testing and validating the model fit.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/24560
Publisher Link: https://www.bam.ac.uk/civicrm/event/info?id=3013
Appears in Collections:Conference Papers and Presentations (Business School)

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