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oai:recercat.cat:2445/1077422025-12-05T10:39:28Zcom_2072_1057col_2072_478811col_2072_478917

Do we really know the predictors of competence-creating R&D subsidiaries? Uncovering the mediation of dual network embeddedness Achcaoucaou Iallouchen, Fariza Miravitlles Matamoros, Paloma León-Darder, Fidel Empreses multinacionals Empreses filials Recerca industrial Subsidiarietat International business enterprises Subsidiary corporations Industrial research Subsidiarity 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. 2017-03-02T13:06:06Z 2020-03-31T05:10:14Z 2017-03 2017-03-02T13:06:06Z info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion 0040-1625 https://hdl.handle.net/2445/107742 668388 eng Versió postprint del document publicat a: https://doi.org/10.1016/j.techfore.2016.10.019 Technological Forecasting and Social Change, 2017, vol. 116, num. March, p. 181-195 https://doi.org/10.1016/j.techfore.2016.10.019 cc-by-nc-nd (c) Elsevier, 2017 http://creativecommons.org/licenses/by-nc-nd/3.0/es info:eu-repo/semantics/openAccess 15 p. application/pdf Elsevier Articles publicats en revistes (Empresa)