Rodgers, P, Khan, Z, Tarba, S et al. (2 more authors) (2019) Exploring the determinants of location choice decisions of offshored R&D projects. Journal of Business Research, 103. pp. 472-483. ISSN 0148-2963
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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 Elsevier Inc. This is an author produced version of a paper published in Journal of Business Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Offshoring; R&D; MNEs; Location choice; Determinant factors; Micro-level factors |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > International Business Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Nov 2017 15:52 |
Last Modified: | 13 Sep 2019 00:52 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jbusres.2017.11.009 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123634 |