Business Plan Development for Student-Driven Startups in Business Programs
Ujházy, Mária (2026)
Ujházy, Mária
2026
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202604106090
https://urn.fi/URN:NBN:fi:amk-202604106090
Tiivistelmä
This bachelor´s thesis examines business plan development in student-driven startups and explores how novice entrepreneurs approach business planning in practice. The topic reflects the growing interest in entrepreneurship among students, while also addressing the challenges they face when turning ideas into viable business concepts. This study aimed to identify the most essential elements of a business plan, examine the tools and methods used in the planning process, and identify the main challenges and mistakes faced by student entrepreneurs.
The theoretical part of the thesis defines key concepts related to startups, the entrepreneurial process, and business planning. It also introduces selected planning tools, including the Business Model Canvas, the Lean Canvas, and the use of artificial intelligence to support business planning. The empirical part is based on qualitative research conducted via a questionnaire administered to individuals closely involved
in the startup's development. The collected data were analysed to explore how founders create and use business plans, which tools they rely on, and the difficulties they encounter in the process.
The findings suggest that business planning in student-driven startups is flexible, iterative, and closely connected to practical experience. At the same time, founders face several challenges, such as understanding the market, making realistic financial assumptions, and operating under uncertainty. The thesis concludes with recommendations for improving business planning for students and educational institutions.
The theoretical part of the thesis defines key concepts related to startups, the entrepreneurial process, and business planning. It also introduces selected planning tools, including the Business Model Canvas, the Lean Canvas, and the use of artificial intelligence to support business planning. The empirical part is based on qualitative research conducted via a questionnaire administered to individuals closely involved
in the startup's development. The collected data were analysed to explore how founders create and use business plans, which tools they rely on, and the difficulties they encounter in the process.
The findings suggest that business planning in student-driven startups is flexible, iterative, and closely connected to practical experience. At the same time, founders face several challenges, such as understanding the market, making realistic financial assumptions, and operating under uncertainty. The thesis concludes with recommendations for improving business planning for students and educational institutions.
