Abstract
This study explores accelerated internationalization among inexperienced digital entrepreneurs who lack resources such as prior experience, knowledge, and networks, which previous research regards as prerequisites for such growth. Following an in-depth qualitative research methodology, the findings reveal three theoretical mechanisms through which inexperienced entrepreneurs can make international commitment decisions with regard to the internationalization of their digital firms. The first is a novel mindset-based approach through which an entrepreneur can make an affective commitment to the international stakeholders within a digital community. Entrepreneurs do that by applying pull-based tools in digital communication to build interest among potential network contacts. The second mechanism is a means-based approach following effectuation logic resulting in an effectual form of commitment to international stakeholders in the digital community. The mechanism relies on applying push-based tools for digital communication to facilitate interactions with known network contacts. The third mechanism is continuance commitment to international business that entrepreneurs can foster over time in tandem with accumulated international experiential knowledge. This research provides an entrepreneurial decision-making model that extends effectuation theory and integrates it with extant research. The resulting holistic entrepreneurial decision-making model explains the accelerated internationalization of digital firms.
Original language | English |
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Peer-reviewed scientific journal | Management International Review |
Volume | 62 |
Issue number | 2 |
Pages (from-to) | 137-168 |
Number of pages | 32 |
ISSN | 0938-8249 |
DOIs | |
Publication status | Published - 2022 |
MoE publication type | A1 Journal article - refereed |
Keywords
- 512 Business and Management
- Accelerated internationalization
- Digital entrepreneurship
- Effectuation and networking
- International commitment decisions
- International experiential knowledge