Internationalising high-tech SMEs: advancing a new perspective of open innovation

Simba, A. ORCID: 0000-0002-0276-8211, Tajeddin, M., Farashahi, M., Dana, L.-P. and Maleki, A., 2024. Internationalising high-tech SMEs: advancing a new perspective of open innovation. Technological Forecasting and Social Change, 200: 123145. ISSN 0040-1625

1849246_Simba.pdf - Published version

Download (5MB) | Preview


Choosing a foreign market entry strategy is known to be essential for firm internationalisation yet there is very little focus on the role, purpose, and value of open innovation for internationalising high-tech SMEs. A review of the international business, international entrepreneurship and international marketing literature combined with a bibliometric mapping of 2501 articles on firm internationalisation, suggests that research does not readily associate open innovation and the internationalisation of high-tech SMEs. This is regardless of open innovation's activities that can span over a firm's immediate geographical space. Thus, this study introduces new theoretical explanations and a midrange open innovation theory to advance open innovation as an alternative foreign market entry strategy especially for internationalising high-tech SMEs. This has theoretical and practical implications for academics, international business managers, and practitioners because it introduces an alternative internationalisation strategy for SMEs.

Item Type: Journal article
Publication Title: Technological Forecasting and Social Change
Creators: Simba, A., Tajeddin, M., Farashahi, M., Dana, L.-P. and Maleki, A.
Publisher: Elsevier
Date: 2024
Volume: 200
ISSN: 0040-1625
S0040162523008302Publisher Item Identifier
Rights: © 2023 the author(s). This is an open access article under the CC BY license (
Divisions: Schools > Nottingham Business School
Record created by: Jonathan Gallacher
Date Added: 03 Jan 2024 11:12
Last Modified: 03 Jan 2024 11:12

Actions (login required)

Edit View Edit View


Views per month over past year


Downloads per month over past year