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Data Supply Chain (DSC): development and validation of a measurement instrument
File | Description | Size | Format | |
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EurOMA full paper - DSC.pdf | Published version | 210.12 kB | Unknown | View/Open |
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: | Imperial College Business School Computing Faculty of Engineering |