EurOMA full paper - DSC.pdf (220.88 kB)
Data Supply Chain (DSC): development and validation of a measurement instrument
conference contribution
posted on 2017-03-27, 14:40 authored by Konstantina Spanaki, Richard Adams, Catherine Mulligan, Emil LupuThe 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 ConferenceCitation
SPANAKI, K. .. et al, 2016. Data Supply Chain (DSC): development and validation of a measurement instrument. 23rd EurOMA Conference, Trondheim, Norway, 17th-22nd JunePublisher
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
2016-02-29Publication date
2016Notes
This is a conference paper.Publisher version
Language
- en