Conference Agenda

A career in sports is unique in the fact that it requires serious commitment early on in one’s life. Many times, athletes choose to end their career early due to a lacking in support of their responsible decision. It seems that less women pursue sports as a career as a result of a lack of support early on. This study examined the difference between such decision by women and men with the assumption that support from parents, coaches, schools, etc., bears importance in making this responsible decision. The study looked at 444 athletes and indicated gender differences with respect to the role of school staff in this decision. Specifically, it was found that school staff play an important role in this responsible decision among young women as a significant social agent in making the decision to pursue a professional career while unearthing gender stereotypes.

The research explores the human aspect of managerial decision-making according to the principles outlined in Csikszentmihály's seminal work Flow Theory, focusing on leadership skills, specifically those that enable Flow in the workplace. The author presents the role of innovative and serious games in managerial decision-making: through a series of complex managerial decisions made in a virtual reality game, participants gain deeper insights into their skill sets, experience the consequences of their decisions, and enhance their personal competitiveness. The novelty of the research lies in the analysis of the relationship between flow-promoting skills (strategic thinking, feedback, recognition of personal strengths, balancing skills) and managerial decision-making. The analysis is based on the data of the participants of the Executive Diplomatic Leadership Training, compared to hundreds of Hungarians from a unique database accumulated over the last decade in FLIGBY, a serious game specially developed to measure and develop leadership skills and managerial decision-making.

In this paper, a decision-making model is presented. For validating the model set up by the authors, a research was conducted among Portuguese and Hungarian family businesses. The model presents internal factors influencing the decision-making of family businesses on capacity expansion and describes the possible decision outcomes. The model was tested firstly among Portuguese family businesses working in food industry. The results confirmed the model. After that, the model was tested among Hungarian family businesses, using both qualitative and quantitative methods. The quantitative research’s results based on online questionnaires were analyzed in the form of SPSS software; the qualitative research’s results based on in-depth interviews were analyzed by artificial intelligence. On the one hand, this paper presents the Hungarian results. On the other hand, it compares the Portuguese and Hungarian results. These researches identified three internal factors influencing the decision- making of family businesses regarding capacity expansion.

PROJECT NO. 2023-2.1.2-KDP-2023-00017 HAS BEEN IMPLEMENTED WITH THE SUPPORT PROVIDED BY THE MINISTRY OF CULTURE AND INNOVATION OF HUNGARY FROM THE NATIONAL RESEARCH, DEVELOPMENT AND INNOVATION FUND, FINANCED UNDER THE KDP2023 FUNDING SCHEME.

The desertification of bank branches, driven by digital transformation, has exacerbated financial exclusion among individuals living in less densely populated regions. In this scenario, postal operators have emerged as main competitors in providing face-to-face financial services in areas without a banking presence, leveraging their capillary network of post offices. In this work, we propose a mathematical model to support postal providers in designing their financial consulting network. The model maximizes the attracted demand of customers who are financially excluded due to branch closures, identifying where to activate the service and planning the availability in terms of time windows. The model is applied to the rural areas of the Campania region in Southern Italy, where branch closures have significantly impacted customers' access to services. The results demonstrate that the model can effectively support the consulting network design, offering a valuable framework for making appropriate decisions based on preferred provision policy.