Data Supply Chain (DSC): development and validation of a measurement instrument
File(s)EurOMA full paper - DSC.pdf (210.12 KB)
Published version
Author(s)
Spanaki, K
Adams, R
Mulligan, C
Lupu, E
Type
Conference Paper
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.
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.
Date Issued
2016-06-17
Date Acceptance
2016-02-22
Citation
23rd EurOMA Conference, 2016
Journal / Book Title
23rd EurOMA Conference
Copyright Statement
© 2016 The Authors
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/K039504/1
EP/L022729/1
Source
23rd EurOMA Conference
Publication Status
Published
Start Date
2016-06-17
Finish Date
2016-06-22
Coverage Spatial
Trondheim, Norway