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Developing Startup Business Models Using ChatGPT: Prompt Writing and Affordance Design

Authors
오승희박상혁박정선
Issue Date
Feb-2025
Publisher
한국데이타베이스학회
Keywords
Generative AI; One-shot Prompting; Few-shot Prompting; Chain of Thought Prompting; Affordance; Business Model Development; .
Citation
Journal of Information Technology Applications & Management, v.32, no.1, pp 65 - 79
Pages
15
Indexed
KCI
Journal Title
Journal of Information Technology Applications & Management
Volume
32
Number
1
Start Page
65
End Page
79
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/80259
ISSN
1598-6284
Abstract
The emergence of generative AI, such as ChatGPT, developed based on large language models, has brought significant changes to chatbot technology. Rapid technological advancements have substantially improved the performance and quality of generative AI services and their outputs. As a result, the scope of generative AI utilization by companies is gradually expanding. Building on these technological advancements, this study presents prompt writing strategies for effectively utilizing ChatGPT to develop entrepreneurial business models and derive affordance design strategies. An experimental study compared and analyzed the impact of providing affordances and prompt writing strategies on satisfaction with ChatGPT utilization. The study divided the tasks for developing entrepreneurial business models into data exploration and idea generation. The findings of this study offer important implications for entrepreneurs developing business models by providing practical prompt writing guidelines tailored to specific task characteristics. Additionally, it suggests affordance design strategies for companies offering generative AI services to optimize user experience.
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College of Business Administration > 산업경영학과 > Journal Articles

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경영대학 (산업경영학과)
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