Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/107742
Title: Do we really know the predictors of competence-creating R&D subsidiaries? Uncovering the mediation of dual network embeddedness
Author: Achcaoucaou Iallouchen, Fariza
Miravitlles Matamoros, Paloma
León-Darder, Fidel
Keywords: Empreses multinacionals
Empreses filials
Recerca industrial
Subsidiarietat
International business enterprises
Subsidiary corporations
Industrial research
Subsidiarity
Issue Date: Mar-2017
Publisher: Elsevier
Abstract: Many changes have been recorded in the R&D role played by the foreign subsidiaries of multinational corporations (MNCs), to the extent that today many are recognised as key players in the development of firm innovation-related competences. Given this trend, we examine the predictors of a subsidiary's R&D role as a competence-creating contributor to the MNC's long-term success. Traditionally, the predictors of subsidiaries' R&D roles have been sought in the specific features of the internal corporate and external host-country environments. However, we find that favourable corporate- and country-level conditions may not necessarily lead to the enhancement of a subsidiary's R&D role unless dual embeddedness - that is, the subsidiary's embeddedness in the knowledge networks of the MNC (internal embeddedness) and in those of the host country (external embeddedness) - is well established. The main contribution of this paper is the development of a multiple mediation model that disentangles the way in which corporate and host-country environments interrelate with a subsidiary's dual embeddedness in the expected configuration of its competence-creating R&D role. In developing the model, we use the PLS-SEM method to estimate the relationship between these elements and, eventually, to forecast the subsidiary's competence-creating R&D role. The proposed model should help managers shape the fate of the subsidiary's R&D strategic role.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.techfore.2016.10.019
It is part of: Technological Forecasting and Social Change, 2017, vol. 116, num. March, p. 181-195
Related resource: https://doi.org/10.1016/j.techfore.2016.10.019
URI: http://hdl.handle.net/2445/107742
ISSN: 0040-1625
Appears in Collections:Articles publicats en revistes (Empresa)

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