Abstract
We re-examine and advance the landscape of academic journal publishing, specifically focusing on international business (IB) journals. While previous journal rankings have identified sixteen domain-specific IB journals, a renewed look at the journal space shows that the landscape of publications for IB has grown, while at the same time, mostly, retained or even improved its quality propositions. Utilizing state-of-the art machine learning methods including Classification and Regression Trees (CART) and random forests next to data envelopment analysis (DEA) for performance evaluation as well as fuzzy clustering methods, our meta-ranking identifies opportunities for mid-range journals with potential for ascension to higher quality clusters. Comparative analysis further suggests Journal of World Business (JWB) as a candidate for future inclusion in elite journal lists such as the FT50 list, alongside the Journal of International Business Studies (JIBS). Overall, our results show the IB journal landscape is developing towards a quality-based growth trajectory. This advancement has the potential to bolster the long-term competitiveness of the discipline by expanding the scope of its scholarship. Furthermore, it enhances the discipline's influence within the broader management and business ecosystem.
| Original language | English |
|---|---|
| Article number | 101609 |
| Journal | Journal of World Business |
| Volume | 60 |
| Issue number | 2 |
| Early online date | 26 Dec 2024 |
| DOIs | |
| Publication status | Published - 1 Feb 2025 |
Keywords
- Journal ranking
- Meta-ranking
- Clustering
- Scholarly publishing
- Research evaluation
- International business
- Business and management
- Business schools
- Scholarship
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Revisiting the standing of international business journals in the competitive landscape
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Towards a Consolidation of Worldwide Journal Rankings — A Classification Using Random Forests and Aggregate Rating via Data Envelopment Analysis
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