Motivation and collaboration: Unraveling entrepreneurship scholars’ research performance

Abstract Research generating novel insights into entrepreneurship can contribute to entrepreneurial success and socioeconomic growth. This paper explores the influence of intrinsic and extrinsic motivations on the research performance of entrepreneurship scholars, with a particular focus on research collaborations. Grounded in Self-Determination Theory (SDT) and Social Exchange Theory (SET), the study aims to fill a gap in the entrepreneurship research literature by examining how different types of motivations impact research productivity. Using a mixed-methods approach, the research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the linear relationships between variables and fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify configurations of conditions leading to high research performance. The findings suggest that, while extrinsic motivations, such as recognition and financial rewards, significantly enhance research output, no support was found for the role of intrinsic motivations. Social exchange expectations mediate to a shallow extent the relationship between extrinsic motivation and research performance. These findings underscore the importance of external rewards and collaborative dynamics in cultivating impactful entrepreneurship research, informing academic leaders, researchers, and policy-makers on how to foster more productive research environments in this rapidly expanding field.

Authors

Institutions

Publication Details

Journal
Review of Managerial Science
Published
2025-06-02
DOI
https://doi.org/10.1007/s11846-025-00908-8
Citations
1
Primary Topic
Entrepreneurship Studies and Influences
Type
article
Field-Weighted Citation Impact
2.76

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Motivation and collaboration: Unraveling entrepreneurship scholars’ research performance

Adrian Micu, Wissal Ben Arfi, Alexandru Căpățînă, Victor Tiberius et al.
1 citations
Review of Managerial Science
Entrepreneurship Studies and Influences
2.76
article

Motivation and collaboration: Unraveling entrepreneurship scholars’ research performance

Adrian Micu, Wissal Ben Arfi, Alexandru Căpățînă, Victor Tiberius, George Bogdan Drăgan, Katharina Rosin
article en
1 citations

Abstract

Abstract Research generating novel insights into entrepreneurship can contribute to entrepreneurial success and socioeconomic growth. This paper explores the influence of intrinsic and extrinsic motivations on the research performance of entrepreneurship scholars, with a particular focus on research collaborations. Grounded in Self-Determination Theory (SDT) and Social Exchange Theory (SET), the study aims to fill a gap in the entrepreneurship research literature by examining how different types of motivations impact research productivity. Using a mixed-methods approach, the research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the linear relationships between variables and fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify configurations of conditions leading to high research performance. The findings suggest that, while extrinsic motivations, such as recognition and financial rewards, significantly enhance research output, no support was found for the role of intrinsic motivations. Social exchange expectations mediate to a shallow extent the relationship between extrinsic motivation and research performance. These findings underscore the importance of external rewards and collaborative dynamics in cultivating impactful entrepreneurship research, informing academic leaders, researchers, and policy-makers on how to foster more productive research environments in this rapidly expanding field.

Review of Managerial ScienceVol. 20(4)
University of Potsdam (DE), Paris School of Business (FR), "Dunarea de Jos" University of Galati (RO)
Universität Potsdam
Openalex Percentile: Top 11%
Entrepreneurship Studies and Influences
2.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.