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What gets published and what doesn’t? Exploring optimal distinctiveness and diverse expectations in entrepreneurship articles

Meurer, M. M. ORCID: https://orcid.org/0009-0006-5060-3709, Belitski, M. ORCID: https://orcid.org/0000-0002-9895-0105, Fisch, C. ORCID: https://orcid.org/0000-0003-3609-7193 and Thurik, R. ORCID: https://orcid.org/0000-0002-0242-6908 (2024) What gets published and what doesn’t? Exploring optimal distinctiveness and diverse expectations in entrepreneurship articles. Small Business Economics, 63 (3). pp. 1139-1170. ISSN 1573-0913

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To link to this item DOI: 10.1007/s11187-023-00865-0

Abstract/Summary

The field of entrepreneurship has seen remarkable growth, increasing the expectations of academic audiences. Articles need to balance novelty with rigorous methodology, theoretical contributions, social implications, and coherent argumentation to succeed in the publication process. However, navigating these varied and sometimes conflicting expectations to achieve optimal distinctiveness in academic narratives is challenging for authors. To explore how authors can achieve optimal distinctiveness amidst these complex expectations, we studied academic narratives and related editorial decisions of two leading entrepreneurship journals, Entrepreneurship: Theory & Practice (ETP, 4,151 papers) and Small Business Economics Journal (SBEJ, 4,043 papers), using computer-aided text analysis. Our study debunks common assumptions about what makes a successful entrepreneurship paper, providing an empirical basis for understanding actual versus perceived publication requisites. Furthermore, we extend optimal distinctiveness theory by demonstrating that high distinctiveness is not uniformly advantageous, meeting numerous expectations is not necessarily beneficial, and clear language is crucial for complex narratives. Our study underscores that crafting narratives is more nuanced than traditionally believed.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > Digitalisation, Marketing and Entrepreneurship
ID Code:120595
Publisher:Springer

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