{"title":"人工智能服务质量对用户消费价值和持续使用移动健身应用意向的影响:来自中国的证据","authors":"Jung-Chieh Lee, Zitong Gao, Liangnan Xiong","doi":"10.1177/02666669241269666","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has been applied to mobile fitness applications (MFAs) to improve users’ continuance usage intention. Most of the literature has considered the adoption factors of MFA but has ignored the impact of AI effectiveness. To address this research gap, we develop a research model by integrating AI service quality and the theory of consumption value (TCV) to explore users’ continuance intention. Using a survey approach, a total of 416 valid questionnaires were collected in China, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The results show that functional, emotional, social, epistemic, and conditional values partially mediate the relationships between AI service quality and the continuance usage intention of AI-enabled MFAs. This study contributes to the literature by considering and examining the effect of AI service quality on users’ assessment of different consumption values, which advances the understanding of the AI service quality function in AI-enabled MFAs.","PeriodicalId":47137,"journal":{"name":"Information Development","volume":"199 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of artificial intelligence-enabled service quality on user consumption value and continuous intention to use mobile fitness applications: Evidence from China\",\"authors\":\"Jung-Chieh Lee, Zitong Gao, Liangnan Xiong\",\"doi\":\"10.1177/02666669241269666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) has been applied to mobile fitness applications (MFAs) to improve users’ continuance usage intention. Most of the literature has considered the adoption factors of MFA but has ignored the impact of AI effectiveness. To address this research gap, we develop a research model by integrating AI service quality and the theory of consumption value (TCV) to explore users’ continuance intention. Using a survey approach, a total of 416 valid questionnaires were collected in China, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The results show that functional, emotional, social, epistemic, and conditional values partially mediate the relationships between AI service quality and the continuance usage intention of AI-enabled MFAs. This study contributes to the literature by considering and examining the effect of AI service quality on users’ assessment of different consumption values, which advances the understanding of the AI service quality function in AI-enabled MFAs.\",\"PeriodicalId\":47137,\"journal\":{\"name\":\"Information Development\",\"volume\":\"199 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Development\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1177/02666669241269666\",\"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":"Information Development","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/02666669241269666","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}
Impact of artificial intelligence-enabled service quality on user consumption value and continuous intention to use mobile fitness applications: Evidence from China
Artificial intelligence (AI) has been applied to mobile fitness applications (MFAs) to improve users’ continuance usage intention. Most of the literature has considered the adoption factors of MFA but has ignored the impact of AI effectiveness. To address this research gap, we develop a research model by integrating AI service quality and the theory of consumption value (TCV) to explore users’ continuance intention. Using a survey approach, a total of 416 valid questionnaires were collected in China, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The results show that functional, emotional, social, epistemic, and conditional values partially mediate the relationships between AI service quality and the continuance usage intention of AI-enabled MFAs. This study contributes to the literature by considering and examining the effect of AI service quality on users’ assessment of different consumption values, which advances the understanding of the AI service quality function in AI-enabled MFAs.
期刊介绍:
Information Development is a peer-reviewed journal that aims to provide authoritative coverage of current developments in the provision, management and use of information throughout the world, with particular emphasis on the information needs and problems of developing countries. It deals with both the development of information systems, services and skills, and the role of information in personal and national development.