{"title":"The Role of Artificial Intelligence in the Ideation Process","authors":"Christian Pescher, Gerard J. Tellis","doi":"10.1111/jpim.12791","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The growth of Artificial Intelligence (AI) has important implications for business in general and innovation in particular. Ideation is the start of the innovation process. The authors review three fields of AI in ideation: identification and analysis of new opportunities, idea generation, and idea screening and idea selection. The results of the review are as follows. First, whereas in the past researchers highlighted the importance of industry characteristics and market stability, the authors now emphasize the importance of firm culture in driving innovation. AI will mediate this relationship. Second, across all stages, AI will improve efficiency, speed, and cost of ideation. Third, in opportunity identification, considerable progress has occurred in analyzing text and image; research on video and audio is relatively scarce. Fourth, in idea generation, AI increases the average creativity of ideas; however, the effect of AI on the generation of top ideas is conflicting. Fifth, AI assists very well in idea screening, but does not do a good job yet in idea selection. Sixth and most importantly, research remains in the early stages and will rapidly improve in the future. Thus, AI has the potential to radically transform ideation.</p>\n </div>","PeriodicalId":16900,"journal":{"name":"Journal of Product Innovation Management","volume":"42 5","pages":"958-982"},"PeriodicalIF":8.0000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Product Innovation Management","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jpim.12791","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
The growth of Artificial Intelligence (AI) has important implications for business in general and innovation in particular. Ideation is the start of the innovation process. The authors review three fields of AI in ideation: identification and analysis of new opportunities, idea generation, and idea screening and idea selection. The results of the review are as follows. First, whereas in the past researchers highlighted the importance of industry characteristics and market stability, the authors now emphasize the importance of firm culture in driving innovation. AI will mediate this relationship. Second, across all stages, AI will improve efficiency, speed, and cost of ideation. Third, in opportunity identification, considerable progress has occurred in analyzing text and image; research on video and audio is relatively scarce. Fourth, in idea generation, AI increases the average creativity of ideas; however, the effect of AI on the generation of top ideas is conflicting. Fifth, AI assists very well in idea screening, but does not do a good job yet in idea selection. Sixth and most importantly, research remains in the early stages and will rapidly improve in the future. Thus, AI has the potential to radically transform ideation.
期刊介绍:
The Journal of Product Innovation Management is a leading academic journal focused on research, theory, and practice in innovation and new product development. It covers a broad scope of issues crucial to successful innovation in both external and internal organizational environments. The journal aims to inform, provoke thought, and contribute to the knowledge and practice of new product development and innovation management. It welcomes original articles from organizations of all sizes and domains, including start-ups, small to medium-sized enterprises, and large corporations, as well as from consumer, business-to-business, and policy domains. The journal accepts various quantitative and qualitative methodologies, and authors from diverse disciplines and functional perspectives are encouraged to submit their work.