Jennifer Yee-Shan Chang , Jun-Hwa Cheah , Xin-Jean Lim , Alastair M. Morrison
{"title":"一个馅饼,许多食谱:人工智能聊天机器人在影响马来西亚独自旅行者购买意愿方面的作用","authors":"Jennifer Yee-Shan Chang , Jun-Hwa Cheah , Xin-Jean Lim , Alastair M. Morrison","doi":"10.1016/j.tmp.2023.101191","DOIUrl":null,"url":null,"abstract":"<div><p>Artificial intelligence (AI) chatbots are pervasive in the travel industry and have significantly alleviated solo travelers' concerns in trip planning and booking. However, many existing AI chatbots have yet to meet the expectations of solo travelers, especially when they demand more personalized information to assist in travel decision-making. Based on complexity theory, this research examines the factors that stimulate solo travelers' purchase intentions when using AI chatbots, particularly covering the three main aspects of marketing efforts, communication quality, and affective characteristics. Drawing from a sample of 281 solo travelers, partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are used to examine the proposed relationships. The PLS-SEM results illustrate that interaction, entertainment, trendiness, communication competence, and satisfaction have significant direct effects on purchase intentions. The fsQCA results further revealed four solutions exhibiting high purchase intentions among solo travelers. Different core, peripheral, and necessary causal conditions in each configuration path were identified. The findings enrich the AI chatbot literature by examining the underlying reasons why solo travelers react differently to this emerging technology and produce practical recommendations for designing AI chatbot systems.</p></div>","PeriodicalId":48141,"journal":{"name":"Tourism Management Perspectives","volume":"49 ","pages":"Article 101191"},"PeriodicalIF":7.3000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"One pie, many recipes: The role of artificial intelligence chatbots in influencing Malaysian solo traveler purchase intentions\",\"authors\":\"Jennifer Yee-Shan Chang , Jun-Hwa Cheah , Xin-Jean Lim , Alastair M. Morrison\",\"doi\":\"10.1016/j.tmp.2023.101191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Artificial intelligence (AI) chatbots are pervasive in the travel industry and have significantly alleviated solo travelers' concerns in trip planning and booking. However, many existing AI chatbots have yet to meet the expectations of solo travelers, especially when they demand more personalized information to assist in travel decision-making. Based on complexity theory, this research examines the factors that stimulate solo travelers' purchase intentions when using AI chatbots, particularly covering the three main aspects of marketing efforts, communication quality, and affective characteristics. Drawing from a sample of 281 solo travelers, partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are used to examine the proposed relationships. The PLS-SEM results illustrate that interaction, entertainment, trendiness, communication competence, and satisfaction have significant direct effects on purchase intentions. The fsQCA results further revealed four solutions exhibiting high purchase intentions among solo travelers. Different core, peripheral, and necessary causal conditions in each configuration path were identified. The findings enrich the AI chatbot literature by examining the underlying reasons why solo travelers react differently to this emerging technology and produce practical recommendations for designing AI chatbot systems.</p></div>\",\"PeriodicalId\":48141,\"journal\":{\"name\":\"Tourism Management Perspectives\",\"volume\":\"49 \",\"pages\":\"Article 101191\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management Perspectives\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211973623001198\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management Perspectives","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211973623001198","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
One pie, many recipes: The role of artificial intelligence chatbots in influencing Malaysian solo traveler purchase intentions
Artificial intelligence (AI) chatbots are pervasive in the travel industry and have significantly alleviated solo travelers' concerns in trip planning and booking. However, many existing AI chatbots have yet to meet the expectations of solo travelers, especially when they demand more personalized information to assist in travel decision-making. Based on complexity theory, this research examines the factors that stimulate solo travelers' purchase intentions when using AI chatbots, particularly covering the three main aspects of marketing efforts, communication quality, and affective characteristics. Drawing from a sample of 281 solo travelers, partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are used to examine the proposed relationships. The PLS-SEM results illustrate that interaction, entertainment, trendiness, communication competence, and satisfaction have significant direct effects on purchase intentions. The fsQCA results further revealed four solutions exhibiting high purchase intentions among solo travelers. Different core, peripheral, and necessary causal conditions in each configuration path were identified. The findings enrich the AI chatbot literature by examining the underlying reasons why solo travelers react differently to this emerging technology and produce practical recommendations for designing AI chatbot systems.
期刊介绍:
Tourism Management Perspectives is an interdisciplinary journal that focuses on the planning and management of travel and tourism. It covers topics such as tourist experiences, their consequences for communities, economies, and environments, the creation of image, the shaping of tourist experiences and perceptions, and the management of tourist organizations and destinations. The journal's editorial board consists of experienced international professionals and it shares the board with Tourism Management. The journal covers socio-cultural, technological, planning, and policy aspects of international, national, and regional tourism, as well as specific management studies. It encourages papers that introduce new research methods and critique existing ones in the context of tourism research. The journal publishes empirical research articles and high-quality review articles on important topics and emerging themes that enhance the theoretical and conceptual understanding of key areas within travel and tourism management.