A Self-Assessment of Employees' Entrepreneurship Competence: A Cross-Country Analysis

A Self-Assessment of Employees' Entrepreneurship Competence: A Cross-Country Analysis

ISBN13: 9781668467015|ISBN10: 1668467011|ISBN13 Softcover: 9781668467022|EISBN13: 9781668467039
DOI: 10.4018/978-1-6684-6701-5.ch002
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MLA

Pagnozzi, Filomena, et al. "A Self-Assessment of Employees' Entrepreneurship Competence: A Cross-Country Analysis." The Impact of HEIs on Regional Development: Facts and Practices of Collaborative Work With SMEs, edited by Susana Rodrigues and Joaquim Mourato, IGI Global, 2023, pp. 17-32. https://doi.org/10.4018/978-1-6684-6701-5.ch002

APA

Pagnozzi, F., Venesaar, U., Antonelli, G., Nokelainen, P., & Riviezzo, A. (2023). A Self-Assessment of Employees' Entrepreneurship Competence: A Cross-Country Analysis. In S. Rodrigues & J. Mourato (Eds.), The Impact of HEIs on Regional Development: Facts and Practices of Collaborative Work With SMEs (pp. 17-32). IGI Global. https://doi.org/10.4018/978-1-6684-6701-5.ch002

Chicago

Pagnozzi, Filomena, et al. "A Self-Assessment of Employees' Entrepreneurship Competence: A Cross-Country Analysis." In The Impact of HEIs on Regional Development: Facts and Practices of Collaborative Work With SMEs, edited by Susana Rodrigues and Joaquim Mourato, 17-32. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6701-5.ch002

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Abstract

This chapter investigates the employees' perception of entrepreneurial mindset factors affecting the development of entrepreneurship competence (EC). Empirical cross-sectional data were collected with an online survey from 754 employees in five countries: Estonia, Finland, Poland, Portugal, and Italy. The survey aimed to measure four areas of EC (self-management, managing social situations, creative thinking and finding solutions, and acting upon opportunities and ideas) and the related 14 sub-competencies. The main aim was to verify if country-specific differences exist in employees' perceptions of entrepreneurship sub-competencies, and which sub-competencies are the best predictors for the actualization of a specific EC. A linear regression model was used for this aim.

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