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Data Supply Chain (DSC): development and validation of a measurement instrument

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conference contribution
posted on 27.03.2017 by Konstantina Spanaki, Richard Adams, Catherine Mulligan, Emil Lupu
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.

History

School

  • Business and Economics

Department

  • Business

Published in

23rd EurOMA Conference

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

Publisher

EurOMA (© the authors)

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

29/02/2016

Publication date

2016

Notes

This is a conference paper.

Language

en

Location

Trondheim, Norway

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