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RESEARCH OBJECTIVE: The main purpose of the research is to assess whether the young generation in Poland has the potential to build sustainable companies by evaluating the attitudes of university students towards sustainable entrepreneurship.
RESEARCH PROBLEM AND METHODS: The readiness to create a sustainable enterprise was assessed on the basis of self-assessment of prosocial attitudes, business intentions and knowledge of social and environmental aspects in business with the use of multidimensional analysis based on machine learning methods.
THE PROCESS OF ARGUMENTATION: A significant challenge for policymakers, scientists and entrepreneurs is solving important social and environmental problems through the development of sustainable entrepreneurship. The implementation of this concept requires efforts to educate and shape pro-social attitudes, especially among the young generation. Therefore, the research focuses on identifying and assessing the attitudes and awareness level of pro-social aspects in business and recognition of entrepreneurial intentions among representatives of this generation.
RESEARCH RESULTS: The research results show that young people have an intuitive sense of what sustainable business is all about, but the formal knowledge in this area is low. Financial aspects, i.e. the possibility of obtaining significant income from own business, as well as independence and the possibility of being a manager, turned out to be much more motivating for entrepreneurship than the possibility of changing the world for the better, helping local communities or protecting the environment.
CONCLUSIONS, INNOVATIONS, AND RECOMMENDATIONS: The innovative approach to multidimensional data analysis highlighted the lack of knowledge and insufficient level of pro-social attitudes among the young generation, which is a particularly worrying phenomenon in the context of formulated challenges and social and environmental needs. (original abstract)
RESEARCH PROBLEM AND METHODS: The readiness to create a sustainable enterprise was assessed on the basis of self-assessment of prosocial attitudes, business intentions and knowledge of social and environmental aspects in business with the use of multidimensional analysis based on machine learning methods.
THE PROCESS OF ARGUMENTATION: A significant challenge for policymakers, scientists and entrepreneurs is solving important social and environmental problems through the development of sustainable entrepreneurship. The implementation of this concept requires efforts to educate and shape pro-social attitudes, especially among the young generation. Therefore, the research focuses on identifying and assessing the attitudes and awareness level of pro-social aspects in business and recognition of entrepreneurial intentions among representatives of this generation.
RESEARCH RESULTS: The research results show that young people have an intuitive sense of what sustainable business is all about, but the formal knowledge in this area is low. Financial aspects, i.e. the possibility of obtaining significant income from own business, as well as independence and the possibility of being a manager, turned out to be much more motivating for entrepreneurship than the possibility of changing the world for the better, helping local communities or protecting the environment.
CONCLUSIONS, INNOVATIONS, AND RECOMMENDATIONS: The innovative approach to multidimensional data analysis highlighted the lack of knowledge and insufficient level of pro-social attitudes among the young generation, which is a particularly worrying phenomenon in the context of formulated challenges and social and environmental needs. (original abstract)
Czasopismo
Rocznik
Tom
Strony
187--202
Opis fizyczny
Twórcy
autor
- University of Information Technology and Management in Rzeszów, Poland
autor
- Rzeszow University of Technology, Poland
autor
- Pedagogical University of Krakow
Bibliografia
- Cestnik, B. (1990). Estimating probabilities: a crucial task in machine learning. In L. Aiello (Ed.), Proceedings of the 9th European conference on artificial intelligence (ECAI-90, pp. 147-150). Pitman.
- Dickson, P.H., Solomon, G.T., & Weaver, K.M. (2008). Entrepreneurial selection and success: Does education matter? Journal of Small Bussiness and Entrepreneurship Development, 15(2), 239-258.
- Grzymala-Busse, J.W. (2010). Rule induction. In O. Maimom, & L. Rokach (Eds.), Data Mining and Knowledge Discovery Handbook (pp. 249-265). New York: Springer US.
- Johnson, M.P., & Schaltegger, S. (2019, November 11th). Entrepreneurship for Sustainable Development: A Review and Multilevel Causal Mechanism Framework. Entrepreneurship Theory and Practice. DOI: 10.1177/1042258719885368.
- Khan, E.A., Alam, M.N., & Khan, S.M. (2005). Factors affecting the growth of entrepreneurship in small-scale business. Business Review, 5(1), 33-37. DOI: 10.35649/KUBR.2005.5.1.4.
- Kickul, J., Gundry, L., Mitra, P., & Berçot, L. (2018). Designing with Purpose: Advocating Innovation, Impact, Sustainability, and Scale in Social Entrepreneurship Education. Entrepreneurship, Education and Pedagogy, 1(2), 205-221. DOI: 10.1177/2515127418772177.
- Kopczyński, M., Grześ, T., & Stepaniuk, J. (2016). Rough Sets Based LEM2 Rules Generation Supported by FPGA. Fundamenta Informaticae, 148(1-2), 107-122.
- Martin, B.C., McNally, J.J., & Kay, M.J. (2013). Examining the formation of human capital in entrepreneurship: A metaanalysis of entrepreneurship education outcomes. Journal of Business Venturing, 28(2), 211-224.
- Murzyn D., Czyżewska, M., Lupa-Wójcik, I., & Maciejewski, W. (2020). Innovative Social Entrepreneurship with Youth Engagement. Needs Analysis in Poland, Italy, North Macedonia and Jordan. Kraków: Wydawnictwo Naukowe Uniwersytetu Pedagogicznego w Krakowie.
- Nabi, G., Liñan, F., Fayolle, A., Krueger, N., & Walmsley, A. (2017). The Impact of Entrepreneurship Education in Higher Education: A Systematic Review and Research Agenda. Academy of Management Learning & Education, 16(2), 277-299. DOI: 10.5465/amle.2015.0026.
- Narsale, N., & Agarwal, V. (2019). Implementation of LEM2 algorithm on FPGA. Proceedings of the 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA2019, June 12-14). Coimbatore, India.
- Pache, A.-C., & Chowdhury, I. (2012). Social Entrepreneurs as Institutionally Embedded Entrepreneurs: Toward a New Model of Social Entrepreneurship Education. Academy of Management Learning & Education, 11(3). DOI: 10.5465/amle.2011.0019.
- Pasierbek, W. & Pera, B. (2018), Shaping Entrepreneurial Attitudes. Horyzonty Wychowania, 17(43).
- Ploum, L., Blok, V., Lans, T., & Omta, O. (2017). Toward a Validated Competence Framework for Sustainable Entrepreneurship. Organization & Environment, 31(2), 113-132.
- Shepherd, D.A., & Patzelt, H. (2011, January 1st). The New Field of Sustainable Entrepreneurship: Studying Entrepreneurial Action Linking "What is to be Sustained" with "What is to be Developed". Entrepreneurship Theory and Practice. DOI: 10.1111/j.1540-6520.2010.00426.x
- Starnawska, M. (2019). Guiding Directions in Social Entrepreneurship and Innovation Education: Experts' Insights. Horyzonty Wychowania, 17(44), 31-39.
- Suska, M. (2018). Entrepreneurial studies in higher education: some insights for Entrepreneurship education in Europe. Horyzonty Polityki, 9(29), 143-156.
- Thompson, P., Jones-Evans, D., & Kwong, C.C.Y. (2010). Education and entrepreneurial activity: A comparison of White and South Asian Men. International Small Business Journal, 28(2), 147-162.
- Wang, Z., Zhang, X., & Yang, W. (2016). Rule Induction of Breast Cancer Medical Diagnose based on Combination of Rough Sets Artificial Neutral Network and Genetic Algorithm. Chinese Control and Decision Conference (CCDC). IEEE: Piscataway Township, NJ.
- Zhang, Q., Xie, Q., & Wang, G. (2016). A survey on rough set theory and its applications". CAAI Transactions on Intelligence Technology, 1(40), 323-333.
Typ dokumentu
Bibliografia
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DOI
Identyfikator YADDA
bwmeta1.element.ekon-element-000171646344
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