Loughborough University
Browse
BAM - Data Supply Chain.pdf (309.73 kB)

A research agenda on Data Supply Chains (DSC)

Download (309.73 kB)
conference contribution
posted on 2017-03-27, 15:06 authored by Konstantina Spanaki, Richard Adams, Catherine Mulligan, Emil Lupu
Competition among organizations supports initiatives and collaborative use of data while creating value based on the strategy and best performance of each data supply chain. Supporting this direction, and building on the theoretical background of the supply chain, we propose the Data Supply Chain (DSC) as a novel concept to aid investigations for data-driven collaboration impacting organizational performance. In this study we initially propose a definition for the DSC paying particular attention to the need for collaboration for the supply chains of data. Furthermore, we develop a conceptual model of DSC collaboration coupling theoretical background of strategy and operations literature including, the resource-based view (RBV), supply chain management (SCM) and collaboration (SCC). Finally, we set propositions and a future research agenda including testing and validating the model fit.

History

School

  • Business and Economics

Department

  • Business

Published in

British Academy of Management (BAM) Conference

Citation

SPANAKI, K. ... et al, 2016. A research agenda on Data Supply Chains (DSC). British Academy of Management (BAM) Conference, Newcastle, UK, 6th-8th July 2016

Publisher

British Academy of Management (© 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

2016-04-17

Publication date

2016

Notes

This is a conference paper.

Language

  • en

Location

Newcastle, UK