Professor KULWANT PAWAR KUL.PAWAR@NOTTINGHAM.AC.UK
PROFESSOR OF OPERATIONS MANAGEMENT
Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers
Pawar, Kulwant S.; Huq, Fahian Anisul; Khraishi, Ahmad; Shah, Janat
Authors
Fahian Anisul Huq
Ahmad Khraishi
Janat Shah
Abstract
© 2018 Informa UK Limited, trading as Taylor & Francis Group. Outsourcing research has recognised that selecting the right offshore supplier (outsourcee) in low-cost distant developing countries is complex, but central to outsourcing success. More specifically, the combination of outsourcee contextual internal factors (e.g. capabilities) with outsourced-to country contextual external factors (e.g. political, legal, economic, socio-cultural) as two fundamental and interconnected decisions firms make when outsourcing remains an underexplored research gap. Therefore, through a rigorous three-tier qualitative approach we, firstly, develop a contextual Environmental Separation Index (ESI) decision tool to help outsourcing firms in making more informed decisions when selecting outsourcees and outsourcing locations. Secondly, we operationalise the ESI as intuitive and easy to use decision tool, yet with a provision to deliver a truly context proof outsourcee selection decision. Thirdly, we adopt a complexity theory lens to explain that narrowing the contextual outsourcer–outsourcee gap facilitates a mind-set shift in outsourcing relationships from hierarchies to networks and from controlling to empowering developing country outsourcees. We show from a complexity theory perspective how contextual separation gaps between developed country outsourcers and developing country outsourcees can be an effective way to grasp the evolutionary path of outsourcing relationships.
Citation
Pawar, K. S., Huq, F. A., Khraishi, A., & Shah, J. (2019). Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers. International Journal of Production Research, 57(13), 4310-4332. https://doi.org/10.1080/00207543.2018.1529444
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 18, 2018 |
Online Publication Date | Oct 7, 2018 |
Publication Date | Jul 3, 2019 |
Deposit Date | Dec 17, 2018 |
Publicly Available Date | Oct 8, 2019 |
Journal | International Journal of Production Research |
Print ISSN | 0020-7543 |
Electronic ISSN | 1366-588X |
Publisher | Taylor and Francis |
Peer Reviewed | Peer Reviewed |
Volume | 57 |
Issue | 13 |
Pages | 4310-4332 |
DOI | https://doi.org/10.1080/00207543.2018.1529444 |
Keywords | Outsourcing Decisions, Outsourcing Relationships, Supplier Selection, Supply; Chains, Complexity Theory; 2 |
Public URL | https://nottingham-repository.worktribe.com/output/1418464 |
Publisher URL | https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1529444 |
Additional Information | Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tprs20 |
Contract Date | Dec 17, 2018 |
Files
Contextualisation Of The Complexity
(1.1 Mb)
PDF
You might also like
The adoption of open platform for container bookings in the maritime supply chain
(2020)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search