Technology, innovation and SMEs' export intensity: Evidence from Morocco

Abstract

This study seeks to understand the scarcely examined relationships between SMEs' foreign technology licensing, R&D expenditure, innovation and export intensity. Espousing an integrated open innovation and self-selection paradigm, observations of 446 Moroccan SMEs are analysed through structural equation modelling. The definitive path analysis showed that foreign technology licensing and R&D expenditure distinctively affect innovation and, in turn, innovation increases export intensity. In further insights, to illustrate how the distribution of these inputs enhances internationalisation, a probabilistic analysis shows that foreign technology licensing, R&D expenditure and innovation will incrementally stimulate export intensity by >71 %. The permutations of these variables in the fresh setting of Morocco summon scholars' empirical attention at the same time as policymakers' consideration.

Publication DOI: https://doi.org/10.1016/j.techfore.2023.122475
Divisions: College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
College of Business and Social Sciences > Aston Business School > Centre for Personal Financial Wellbeing
Additional Information: Copyright © 2023, Elsevier Inc. This accepted manuscript version is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Foreign technology licensing,R&D,Innovation,Export intensity,SMEs,Morocco
Publication ISSN: 1873-5509
Last Modified: 23 May 2024 07:21
Date Deposited: 20 Mar 2023 15:34
Full Text Link:
Related URLs: https://reader. ... 040162523001609 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-06-01
Published Online Date: 2023-03-17
Accepted Date: 2023-01-07
Authors: Haddoud, Mohamed Yacine
Onjewu, Adah-Kole
Kock, Ned
Jafari-Sadeghi, Vahid (ORCID Profile 0000-0003-3083-6119)
Jones, Paul

Download

[img]

Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 17 September 2024.

License: Creative Commons Attribution Non-commercial No Derivatives


Export / Share Citation


Statistics

Additional statistics for this record