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

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Title: Data Supply Chain (DSC): development and validation of a measurement instrument
Authors: Spanaki, K
Adams, R
Mulligan, C
Lupu, E
Item 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.
Issue Date: 17-Jun-2016
Date of Acceptance: 22-Feb-2016
URI: http://hdl.handle.net/10044/1/32848
Journal / Book Title: 23rd EurOMA Conference
Copyright Statement: © 2016 The Authors
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/K039504/1
EP/L022729/1
Conference Name: 23rd EurOMA Conference
Publication Status: Published
Start Date: 2016-06-17
Finish Date: 2016-06-22
Conference Place: Trondheim, Norway
Appears in Collections:Faculty of Engineering
Imperial College Business School
Computing



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