{"title":"了解信息搜索的用户转换:从搜索引擎到生成式人工智能","authors":"Tao Zhou, Songtao Li","doi":"10.1177/09610006241244800","DOIUrl":null,"url":null,"abstract":"Generative AI products such as ChatGPT have changed the way people seek and obtain information. Users may gradually switch from search engines to generative AI for information seeking. This may lead to their defection from search services. Based on the push-pull-mooring (PPM) model, this research examined user switch intention from search engines to generative AI. The results indicated that low information-task fit and information overload lead to user dissatisfaction, whereas AI generated content (AIGC) information quality and perceived interactivity affect perceived value. Dissatisfaction, perceived value, and social influence determine user switch intention. The fsQCA identified three configurations leading to switch intention. The results suggest that search service providers need to enhance information-task fit and reduce information overload in order to retain users and achieve a sustainable development.","PeriodicalId":47004,"journal":{"name":"Journal of Librarianship and Information Science","volume":"46 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding user switch of information seeking: From search engines to generative AI\",\"authors\":\"Tao Zhou, Songtao Li\",\"doi\":\"10.1177/09610006241244800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generative AI products such as ChatGPT have changed the way people seek and obtain information. Users may gradually switch from search engines to generative AI for information seeking. This may lead to their defection from search services. Based on the push-pull-mooring (PPM) model, this research examined user switch intention from search engines to generative AI. The results indicated that low information-task fit and information overload lead to user dissatisfaction, whereas AI generated content (AIGC) information quality and perceived interactivity affect perceived value. Dissatisfaction, perceived value, and social influence determine user switch intention. The fsQCA identified three configurations leading to switch intention. The results suggest that search service providers need to enhance information-task fit and reduce information overload in order to retain users and achieve a sustainable development.\",\"PeriodicalId\":47004,\"journal\":{\"name\":\"Journal of Librarianship and Information Science\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Librarianship and Information Science\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/09610006241244800\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Librarianship and Information Science","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/09610006241244800","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Understanding user switch of information seeking: From search engines to generative AI
Generative AI products such as ChatGPT have changed the way people seek and obtain information. Users may gradually switch from search engines to generative AI for information seeking. This may lead to their defection from search services. Based on the push-pull-mooring (PPM) model, this research examined user switch intention from search engines to generative AI. The results indicated that low information-task fit and information overload lead to user dissatisfaction, whereas AI generated content (AIGC) information quality and perceived interactivity affect perceived value. Dissatisfaction, perceived value, and social influence determine user switch intention. The fsQCA identified three configurations leading to switch intention. The results suggest that search service providers need to enhance information-task fit and reduce information overload in order to retain users and achieve a sustainable development.
期刊介绍:
Journal of Librarianship and Information Science is the peer-reviewed international quarterly journal for librarians, information scientists, specialists, managers and educators interested in keeping up to date with the most recent issues and developments in the field. The Journal provides a forumfor the publication of research and practical developments as well as for discussion papers and viewpoints on topical concerns in a profession facing many challenges.