{"title":"Analyzing consumer decision-making patterns in online restaurant selection: A study of information processing styles on yelp","authors":"Yun Wan , Makoto Nakayama","doi":"10.1016/j.ijhm.2025.104306","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines how consumers make decisions when selecting restaurants online. It introduces a framework that categorizes decision-makers into four distinct styles - quick experts, hasty amateurs, casual novices, and relaxed professionals – based on their prior dining experience and time spent on the selection task. Through clickstream analysis of 282 participants using Yelp, we employed an algorithmic approach to identify these patterns and analyzed their information search and processing behaviors. Results revealed distinct patterns: experienced users conducted focused, sophisticated searches and prioritized credible sources, while less experienced users employed broader searches and were more influenced by promotional content. All groups exhibited satisficing behavior, but experienced users were more discriminating. We conclude that experience and time constraints significantly influence online restaurant selection strategies. These findings contribute to understanding consumer behavior in hospitality contexts, provide insights for hospitality managers to optimize digital presence, extends the theoretical framework of hospitality consumer decision-making.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"131 ","pages":"Article 104306"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431925002294","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines how consumers make decisions when selecting restaurants online. It introduces a framework that categorizes decision-makers into four distinct styles - quick experts, hasty amateurs, casual novices, and relaxed professionals – based on their prior dining experience and time spent on the selection task. Through clickstream analysis of 282 participants using Yelp, we employed an algorithmic approach to identify these patterns and analyzed their information search and processing behaviors. Results revealed distinct patterns: experienced users conducted focused, sophisticated searches and prioritized credible sources, while less experienced users employed broader searches and were more influenced by promotional content. All groups exhibited satisficing behavior, but experienced users were more discriminating. We conclude that experience and time constraints significantly influence online restaurant selection strategies. These findings contribute to understanding consumer behavior in hospitality contexts, provide insights for hospitality managers to optimize digital presence, extends the theoretical framework of hospitality consumer decision-making.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.