{"title":"如何保持竞争力：利用在线餐厅评论评估企业竞争力的创新理念","authors":"Jie Wu , Jinyan Chen , Tong Yang , Narisa Zhao","doi":"10.1016/j.ijhm.2024.103836","DOIUrl":null,"url":null,"abstract":"<div><p>Nowadays customers would make decisions by reading online reviews and comparing differences in restaurants before visiting. Therefore how restaurants take advantage from such information is important to attract customers and stay competitive. Many researchers believe that increasing business performance could improve competitiveness. However, with changing customer requirements and business environment, it is challenging to understand which attributes matter the most to customers and how to improve considering competitors. Therefore this study proposed assessing restaurant competitiveness using online reviews. After crawling 38,479 online reviews employing Python, deep learning-based BERT is developed to measure attribute performance and understand the competitiveness through McKinsey Matrix. Then, the competitiveness was analyzed from a temporal dynamic view to present how attributes are changing importance. Notably, the asymmetric effects between attribute performance and satisfaction were considered. Results demonstrated encouraging accuracy in measuring restaurant competitiveness and explained how asymmetric McKinsey Matrix could help formulate efficient competitiveness enhancement strategies.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":9.9000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to stay competitive: An innovative concept to assess the business competitiveness using online restaurant reviews\",\"authors\":\"Jie Wu , Jinyan Chen , Tong Yang , Narisa Zhao\",\"doi\":\"10.1016/j.ijhm.2024.103836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Nowadays customers would make decisions by reading online reviews and comparing differences in restaurants before visiting. Therefore how restaurants take advantage from such information is important to attract customers and stay competitive. Many researchers believe that increasing business performance could improve competitiveness. However, with changing customer requirements and business environment, it is challenging to understand which attributes matter the most to customers and how to improve considering competitors. Therefore this study proposed assessing restaurant competitiveness using online reviews. After crawling 38,479 online reviews employing Python, deep learning-based BERT is developed to measure attribute performance and understand the competitiveness through McKinsey Matrix. Then, the competitiveness was analyzed from a temporal dynamic view to present how attributes are changing importance. Notably, the asymmetric effects between attribute performance and satisfaction were considered. Results demonstrated encouraging accuracy in measuring restaurant competitiveness and explained how asymmetric McKinsey Matrix could help formulate efficient competitiveness enhancement strategies.</p></div>\",\"PeriodicalId\":48444,\"journal\":{\"name\":\"International Journal of Hospitality Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2024-06-19\",\"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/S0278431924001488\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hospitality Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0278431924001488","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}
How to stay competitive: An innovative concept to assess the business competitiveness using online restaurant reviews
Nowadays customers would make decisions by reading online reviews and comparing differences in restaurants before visiting. Therefore how restaurants take advantage from such information is important to attract customers and stay competitive. Many researchers believe that increasing business performance could improve competitiveness. However, with changing customer requirements and business environment, it is challenging to understand which attributes matter the most to customers and how to improve considering competitors. Therefore this study proposed assessing restaurant competitiveness using online reviews. After crawling 38,479 online reviews employing Python, deep learning-based BERT is developed to measure attribute performance and understand the competitiveness through McKinsey Matrix. Then, the competitiveness was analyzed from a temporal dynamic view to present how attributes are changing importance. Notably, the asymmetric effects between attribute performance and satisfaction were considered. Results demonstrated encouraging accuracy in measuring restaurant competitiveness and explained how asymmetric McKinsey Matrix could help formulate efficient competitiveness enhancement strategies.
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.
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