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REVIEW article
Front. Psychol.
Sec. Organizational Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1453625
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While the research on passion for entrepreneurial activities has produced many definitions, measures, and models specifying components, predictors, and outcomes of the construct, integrating these disparate approaches with each other and with current developments in psychological science remains a challenge for the next generation of research studies. This review connects the research on entrepreneurial passion with current innovations and debates in measurement and method development, motivation, personality, and developmental psychology. The review proposes to reconsider how to measure entrepreneurial passion by (1) specifying the exact facets of entrepreneurial passion in theoretical models and measures, and (2) using psychometric and co-endorsement network models to examine the relationships among the facets and the facets' relationships with relevant predictors and outcomes. (3) The article proposes to link passion research to ongoing debates about states, traits, and emerging stability by formulating and testing process models that distinguish between state-and trait development and include recursive feedback loops. (4) The review connects research on entrepreneurial passion to current debates in emotion and motivation research by proposing to examine the ambivalent motivation and mixed emotions accompanying entrepreneurial passion with intra-individual methods. (5) To help passion researchers build on each others' work and enhance the trustworthiness of their work, the review calls for cumulative scientific insights by adopting multi-lab collaborations and other open science practices. (6) Finally, the review proposes a new, integrative theoretical model that distinguishes between the facets that drive affective thriving and those driving perseverance in the face of obstacles.
Keywords: RUNNING HEAD: Specific, Situated, intra-individual, Ambivalent, and open Entrepreneurial passion, Facets, network models, situation-specific measures
Received: 23 Jun 2024; Accepted: 26 Mar 2025.
Copyright: © 2025 Moeller. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Julia Moeller, Leipzig University, Leipzig, 04109, Lower Saxony, Germany
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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