Challenges and Motivations for Youth Entrepreneurship Start-Ups:Empirical study from Egypt

Elkayaly, Dina; Fahim, Irene S.

doi:10.1109/ieeeconf53624.2021.9668168

Cited by 1 publication

(2 citation statements)

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“…During childhood, children define entrepreneurial characteristics based on their creativity, risk-taking, and resilience, which are fostered by the parental and social environment [15]. Later, adolescents' entrepreneurship further depends on their social environment, motivation, resources, autonomy, risk-taking, and innovativeness [16][17][18]. They supplement their education with (a) courses, (b) workshops, (c) guest speakers, (d) simulations, and (e) entrepreneurship competitions [19][20][21][22].…”

Section: Determinants Of Youth Entrepreneurshipmentioning

confidence: 99%

“…The challenges and difficulties of entrepreneurship [16] suggest that a scarcity of financial resources is the main challenge to starting a new business, coupled with the difficulty of procedures that make potential entrepreneurs more reluctant to start their business legally. Consequently, it is helpful to implement mechanisms of access to credit and communication to minimise the costs and maximise the benefits for the entrepreneurial seed [38][39][40].…”

Section: Challenges and Difficulties In Youth Entrepreneurshipmentioning

confidence: 99%

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Characterisation of Youth Entrepreneurship in Medellín-Colombia Using Machine Learning

Ojeda-Beltrán,

Solano-Barliza,

Arrubla-Hoyos

et al. 2023

Sustainability

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The aim of this paper is to identify profiles of young Colombian entrepreneurs based on data from the “Youth Entrepreneurship” survey developed by the Colombian Youth Secretariat. Our research results show five profiles of entrepreneurs, mainly differentiated by age and entrepreneurial motives, as well as the identification of relevant skills, capacities, and capabilities for entrepreneurship, such as creativity, learning, and leadership. The sample consists of 633 young people aged between 14 and 28 years in Medellín. The data treatment was approached through cluster analysis using the K-means algorithm to obtain information about the underlying nature and structure of the data. These data analysis techniques provide valuable information that can help to better understand the behaviour of Colombian entrepreneurs. They also reveal hidden information in the data. Therefore, one of the advantages of using statistical and artificial intelligence techniques in this type of study is to extract valuable information that might otherwise go unnoticed. The clusters generated show correlations with profiles that can support the design of policies in Colombia to promote an entrepreneurial ecosystem and the creation and development of new businesses through business regulation.

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