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  • 标题:Creative Potential through Artificial Intelligence: Recommendations for Improving Corporate and Entrepreneurial Innovation Activities
  • 本地全文:下载
  • 作者:Dominik Siemon ; Timo Strohmann ; Simon Michalke
  • 期刊名称:Communications of the Association for Information Systems
  • 印刷版ISSN:1529-3181
  • 出版年度:2022
  • 卷号:50
  • 页码:240-260
  • DOI:10.17705/1CAIS.05009
  • 语种:English
  • 出版社:Association for Information Systems
  • 摘要:This paper shows how start-ups or established organizations can improve their creative performance via using AI-based systems to actively promote creative processes. With insights from two studies conducted with entrepreneurs, innovation managers, and workshop facilitators, we provide recommendations for companies and entrepreneurs on how they can use AI to support creative potential to remain innovative and marketable in the long term. Our studies cover aspects such as AI for entrepreneurial activities or creativity workshops and show how to use AI-based systems to enhance the creative potential of the person, the process or the press (environment). Our findings also provide theoretical insights into perceiving AI as an equal partner and call for further research on designing AI for the future creative workplace.
  • 关键词:Artificial Intelligence;Creativity;Idea Generation;Innovation;Entrepreneurship
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