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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24557

Title: Data Supply Chain (DSC): development and validation of a measurement instrument
Authors: Spanaki, Konstantina
Adams, Richard
Mulligan, Catherine
Lupu, Emil
Keywords: Data Supply Chain (DSC)
Supply Chain Management (SCM)
Survey research
Issue Date: 2016
Publisher: EurOMA (© the authors)
Citation: SPANAKI, K. .. et al, 2016. Data Supply Chain (DSC): development and validation of a measurement instrument. 23rd EurOMA Conference, Trondheim, Norway, 17th-22nd June
Abstract: The volume and availability of data produced and affordably stored has become an important new resource for building organizational competitive advantage. Reflecting this, and expanding the concept of the supply chain, we propose the Data Supply Chain (DSC) as a novel concept to aid investigations into how the interconnected data characteristics relate to and impact organizational performance. Initially, we define the concept and develop a research agenda on DSC coupling theoretical background of strategy and operations literature. Along with the conceptualization, we develop a set of propositions and make suggestions for future research including testing and validating the model fit.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/24557
Publisher Link: http://www.euroma2016.org/
Appears in Collections:Conference Papers and Presentations (Business School)

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