The use of Artificial Intelligence in Entrepreneurship and its Implementation in Lean Startup Approaches
Files
SEKULA_32661500_2023.pdf
Closed access - Adobe PDF
- 744.47 KB
SEKULA_32661500_2023_APPENDIX1.pdf
Closed access - Adobe PDF
- 1.22 MB
Details
- Supervisors
- Faculty
- Degree label
- Abstract
- This master thesis delves into the intersection of Entrepreneurship, the Lean Startup Methodology, and Artificial Intelligence (AI). With the rapid advancements in AI and its increasing influence in various domains, this research seeks to understand its integration within the entrepreneurial realm, particularly when employing the Lean Startup Methodology. The central research question posed is: "How can Artificial Intelligence be integrated into the Lean Startup methodology to enhance entrepreneurial processes?" Through a comprehensive literature review followed by empirical research, this study explores perceptions of AI's impact on entrepreneurship, its potential applications within the Lean Startup process, and the advantages and challenges of its implementation. A qualitative research approach was adopted, utilizing semi-structured interviews with experts and practitioners in the fields of Entrepreneurship, Lean Startup, and AI. The findings aim to provide insights for entrepreneurs considering the integration of AI into their ventures and for technologists developing AI solutions for the entrepreneurial ecosystem. The research underscores the transformative potential of AI in entrepreneurship and offers recommendations for its effective incorporation within the Lean Startup framework.