TY - GEN
T1 - What Motivates Founders of Sustainable Companies?
AU - Stöckl, Andreas
AU - Anzengruber, Johanna
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/11/6
Y1 - 2024/11/6
N2 - This paper presents an innovative AI-based method-ology to systematically understand and classify the motivations and goals of founders who establish sustainable businesses in rural Austria. The study analyzes self-descriptions from companies' websites and interviews with founders using state-of-the-art artificial intelligence tools for processing textual and audio data. This dual approach provides a comprehensive insight into the official and personal motivations driving sustainable entrepreneurship in rural settings. Utilizing natural language processing technologies and large language models, the research identifies patterns, themes, and the consistency of motivations across different communication channels. It aims to assess the authenticity and credibility of sustainability efforts by comparing public presentations with personal motivations. The findings contribute valuable insights into the motivations behind sustain-able entrepreneurship, offering implications for supporting and promoting such initiatives in rural areas.
AB - This paper presents an innovative AI-based method-ology to systematically understand and classify the motivations and goals of founders who establish sustainable businesses in rural Austria. The study analyzes self-descriptions from companies' websites and interviews with founders using state-of-the-art artificial intelligence tools for processing textual and audio data. This dual approach provides a comprehensive insight into the official and personal motivations driving sustainable entrepreneurship in rural settings. Utilizing natural language processing technologies and large language models, the research identifies patterns, themes, and the consistency of motivations across different communication channels. It aims to assess the authenticity and credibility of sustainability efforts by comparing public presentations with personal motivations. The findings contribute valuable insights into the motivations behind sustain-able entrepreneurship, offering implications for supporting and promoting such initiatives in rural areas.
KW - Mechatronics
KW - Large language models
KW - Computational modeling
KW - Entrepreneurship
KW - Companies
KW - Communication channels
KW - Natural language processing
KW - Sustainable development
KW - Interviews
KW - document classification
KW - large language models
KW - social identities
KW - sustainable companies
UR - http://www.scopus.com/inward/record.url?scp=85216001993&partnerID=8YFLogxK
U2 - 10.1109/ICECCME62383.2024.10796620
DO - 10.1109/ICECCME62383.2024.10796620
M3 - Conference contribution
SN - 979-8-3503-9119-0
T3 - International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2024
SP - 1
EP - 5
BT - International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2024
PB - IEEE
T2 - 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Y2 - 4 November 2024 through 6 November 2024
ER -