Longitudinal Research Opportunities on Entrepreneurship Education: A Utilization of GUESSS Data
DOI:
https://doi.org/10.17977/UM014v19i1p227Keywords:
career choice, entrepreneurship education, entrepreneurial intention, longitudinal dataAbstract
This study fosters global research collaboration by leveraging GUESSS longitudinal data from 2018 and 2021 to generate high-impact academic publications. Utilizing a rigorous seven-stage systematic literature review, ranging from topic definition to findings synthesis, the research establishes a comprehensive empirical model for analysing entrepreneurial dynamics. The analysis reveals that entrepreneurial intentions and behaviours are influenced by a complex interplay of individual, familial, institutional, and national factors. Significant drivers include the structure of entrepreneurship education, perceptions of parental success, university climate, and national cultural dimensions. While current data constraints limit the scope of certain longitudinal analyses, the proposed model provides a robust starting point using available variables. To bridge existing research gaps, the study suggests expanding future GUESSS data collection to include cultural and institutional differences. Ultimately, this work provides a vital foundation for scholars to collaboratively examine the causal relationships between intention and action. By offering a roadmap to navigate multi-level influences on students, the study seeks to advance the global understanding of how diverse environments shape the next generation of entrepreneursReferences
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