The University of Southampton
University of Southampton Institutional Repository

Exploring the determinants of location choice decisions of offshored R&D projects

Exploring the determinants of location choice decisions of offshored R&D projects
Exploring the determinants of location choice decisions of offshored R&D projects
This article extends the understanding of R&D offshoring with a particular micro-level focus on the determinants of location choice decisions for R&D activities at the project level. Using multinomial logistic regression, supplemented with PLS modelling, the article adopts an innovative R&D project-level approach to examine the key determinants of the location choice decisions made by 126 UK-based MNEs. The findings demonstrate that project characteristics—such as speed, quality, interactivity, innovativeness, and routineness—have a greater impact on location choice decisions than traditional considerations such as cost and wage, which have been extensively examined. We further find that the classification of R&D projects is not one of the key determinants of R&D project location-related decisions. Theoretically, the article uses an approach proposed by Demirbag and Glaister (2010), combined with Dunning's OLI framework, to highlight the scope for utilizing integrated theoretical frameworks to investigate location choice decisions for R&D offshoring within IB studies. We draw implications for research and practice.
0148-2963
472-483
Rodgers, Peter
78e39552-3d65-4b44-b0e1-10043ba3ff5d
Khan, Zaheer
7d03997f-e67f-426c-911e-d6bde3b5c78b
Tarba, Shlomo
cecf319d-34fb-44e4-9e79-6d10119f0fd6
Nurgabdeshov, Assylbek
77b77d12-9608-4f91-a485-b68be79c8aad
Ahammad, Mohammad
095731be-48a4-4e66-bc3e-e256a9e805bc
Rodgers, Peter
78e39552-3d65-4b44-b0e1-10043ba3ff5d
Khan, Zaheer
7d03997f-e67f-426c-911e-d6bde3b5c78b
Tarba, Shlomo
cecf319d-34fb-44e4-9e79-6d10119f0fd6
Nurgabdeshov, Assylbek
77b77d12-9608-4f91-a485-b68be79c8aad
Ahammad, Mohammad
095731be-48a4-4e66-bc3e-e256a9e805bc

Rodgers, Peter, Khan, Zaheer, Tarba, Shlomo, Nurgabdeshov, Assylbek and Ahammad, Mohammad (2019) Exploring the determinants of location choice decisions of offshored R&D projects. Journal of Business Research, 103, 472-483. (doi:10.1016/j.jbusres.2017.11.009).

Record type: Article

Abstract

This article extends the understanding of R&D offshoring with a particular micro-level focus on the determinants of location choice decisions for R&D activities at the project level. Using multinomial logistic regression, supplemented with PLS modelling, the article adopts an innovative R&D project-level approach to examine the key determinants of the location choice decisions made by 126 UK-based MNEs. The findings demonstrate that project characteristics—such as speed, quality, interactivity, innovativeness, and routineness—have a greater impact on location choice decisions than traditional considerations such as cost and wage, which have been extensively examined. We further find that the classification of R&D projects is not one of the key determinants of R&D project location-related decisions. Theoretically, the article uses an approach proposed by Demirbag and Glaister (2010), combined with Dunning's OLI framework, to highlight the scope for utilizing integrated theoretical frameworks to investigate location choice decisions for R&D offshoring within IB studies. We draw implications for research and practice.

Text
07Nov_JBR - Accepted Manuscript
Download (843kB)
Text
07Nov JBR
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 7 November 2017
e-pub ahead of print date: 10 November 2017
Published date: October 2019

Identifiers

Local EPrints ID: 442403
URI: http://eprints.soton.ac.uk/id/eprint/442403
ISSN: 0148-2963
PURE UUID: 45b1886c-4a46-4007-90ae-66a55142460e

Catalogue record

Date deposited: 14 Jul 2020 16:38
Last modified: 16 Mar 2024 08:34

Export record

Altmetrics

Contributors

Author: Peter Rodgers
Author: Zaheer Khan
Author: Shlomo Tarba
Author: Assylbek Nurgabdeshov
Author: Mohammad Ahammad

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×