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Although emotional dynamics (EDs) during the entrepreneurial learning (EL) process are acknowledged to promote the growth of an entrepreneurial mindset (EM), while having social causes, empirical research on learning mainly looks at emotions as socially isolated concepts. This study aims to investigate how socially induced and regulated emotions during the EL process affect EM development.

We applied a qualitative, inductive approach related to interpretative phenomenological analysis to get deeply involved into individuals’ experienced emotions. We conducted semi-structured interviews with participants of two EL programs. Open-ended questions stimulated free narratives and detailed descriptions of experiences that were analyzed following a five-stage process.

There is a correlation between socially induced and regulated emotions and the development of EM elements. We suggest a framework for the EL process based on EDs, which triggers four main mechanisms that help individuals develop an EM: “re-assessment of individual emotions through EDs”, “EDs affected by facilitator intervention,” “sharing and co-creation of emotions,” and “sensemaking of experiences and emotions.”

This study adds to the knowledge on EDs during the EL process and contributes to the literature on EL and emotions in learning. Therewith, it helps to sensitize practitioners toward the complexity of emotions in the entrepreneurial process, allows to moderate individual emotional reactions and social Eds, and improves existing EE programs. Future research could investigate the interplay of specific personality traits, learning environments, and socioemotional team dynamics in EL.

The purpose of this paper is to show that gig jobs could be considered an alternative way, albeit not the very best, to give work opportunities to older people. This could offset the continuously decreasing income from the pay-as-you-go pension system, which remains the main source of income for older Hungarians.

The paper reviews the most important aspects of employment of older people and highlights the digital divide which still restricts their participation in the labor market. The paper analyzes data from the Hungarian carpooling company Oszkár and compares it with official statistical data from the Hungarian labor market, focusing on the dynamics of the employment of older persons.

The findings show that the alienation of older workers from the gig economy is just transitory, and that an increasing proportion of older gig workers can be anticipated.

Compiling data on the gig economy faces a number of obstacles, as enterprises are disincentivized from revealing all their data.

Older people are more likely to be employed in lower-quality jobs, such as own-account self-employed. They are also increasingly more likely to become gig workers.

The paper articulates the importance of remaining active as one ages and moreover challenges the traditional belief that gig jobs mainly offer opportunities to the younger generations.