This paper aims to investigate the impact of using the business planning digital tool KABADA in a study process on entrepreneurial intentions in Generation Z, based on the study conducted in selected Central and Eastern European countries and Southern European countries. The authors developed a literature review on digital transformation and digital tools in entrepreneurship education and their role in increasing entrepreneurial intentions in the context of sustainability. In the empirical part, the authors conducted a quasi-experiment, tested the digital entrepreneurship education tool KABADA among students with the analysis of sequentially obtained statistical data, using descriptive statistics, statistical tests of eight hypotheses, as well as the effect size test. The study reveals a mostly positive effect of the digital tool KABADA on the entrepreneurial intention of Generation Z, thus confirming the effectiveness of digitalization-based entrepreneurial education in promoting entrepreneurial intention. However, this effect is not statistically significant for some components forming intention, as proven by hypothesis testing. The study contributes to the role of the digital transformation of entrepreneurial education and the use of digital tools with built-in artificial intelligence algorithms in improving the effectiveness of education in terms of raising entrepreneurial intentions.

Mobility, its current state and development perspectives in the future creates challenges with respect to sustainability, the first of which is the uncontrolled increase in greenhouse gas emissions in the last few decades, while road transport is one of the “sinners” creating long-term negative impact. The second is the dominance of car travel and car usage in the passenger transportation segment before the latest COVID-19 pandemic accelerated environmental problems. Although recent trends show new, greener patterns in consumption, there is still a relatively low share of consumers acknowledging the importance of sustainable and green preferences. This research study aims to investigate car sharing from users’ perspectives and to determine the most significant factors influencing their choice of sharing services to ensure upscaling of car sharing and, thus, contribute to urban sustainability. This research study contributes to the overall scientific discussion on car sharing and its role within urban sustainability, particularly with the following: (1) deeper investigation of car sharing and its users motivation perspectives in Latvia; (2) analyses of the most significant motivational factors for car-sharing users and aspects of sustainability; and (3) the insight into the generational differences triggering a number of car-sharing users. The existing and potential users of car sharing were surveyed in order to determine the motivational factors for its usage and attitudes towards it. Socio-demographic variables in statistical analysis were used to identify economic and environmental factors that meaningfully influence the choice of car-sharing services. The results of this study can support further development in new car-sharing business models and the value proposition for consumers in Latvia, as well as preparing policy recommendations on the promotion of sustainable transport. These findings are also useful to academics for the investigation of recent trends in car sharing during the COVID-19 pandemic.

This paper introduces the KABADA (Knowledge Alliance of Business Idea Assessment: Digital Approach) tool, together with the opinions of young people about entrepreneurship, their skills, and their experience with this tool. The focus is on non-business students who study natural sciences, engineering, and other areas at the Faculty of Forestry and Wood Technology at Mendel University in Brno, Czech Republic. The KABADA tool has been developed and tested by a team of international experts. It can be used by a wide audience, including forester management specialists. This structured, web-based platform is based on theoretical research, relevant statistics, and artificial intelligence insights. It guides entrepreneurs through business idea assessment including challenges and opportunities. The research included survey answers from 60 university students before and after using the KABADA tool. The results show that students are interested in entrepreneurship but do not have the knowledge or experience, or support from the curriculum. The majority of the students had no or very low experience with entrepreneurship, no entrepreneurship training, and had not studied entrepreneurship. After using the tool, students declared that they had a higher knowledge of entrepreneurship and the number of students who intended to become an entrepreneur increased. The tool is available online, free of charge.

Education is changing due to digital transformation, which is especially significant for entrepreneurship since students’ readiness to start their own businesses may be assessed by their proficiency with digital technologies. An experimental group educated with the AI-based digital tool KABADA, and a control group trained through traditional workshops in a quasi-experiment with 819 students from Southern and Central-Eastern Europe were compared to examine this relationship. The effects of gender, education, past entrepreneurial experience, self-evaluation, and motivation on entrepreneurial intention were tested using ordinal logistic regression. Compared to traditional workshops, the results demonstrate that digital tools significantly increase students’ entrepreneurial intention; the best indicators were self-assessment and entrepreneurial desire. While education level had no discernible impact, gender and previous entrepreneurship experience were also important factors. The findings show that one of the most effective ways to encourage entrepreneurial purpose is to incorporate digital tools into entrepreneurship education. This study emphasizes the importance of students acquiring digital skills in order to increase their preparedness for entrepreneurship in technology-driven economies.