{"title":"Examining hotel characteristics and facilities influencing customer satisfaction using decision tree analysis","authors":"Ali Pişirgen, Ali Mert Erdoğan, Serhat Peker","doi":"10.1108/ijtc-06-2024-0136","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This study aims to identify the key hotel characteristics and facilities that significantly influence customer satisfaction based on Google review scores. By applying decision tree analysis, the research seeks to determine which aspects, such as service quality, hotel facilities and location, play pivotal roles in shaping customer experiences. The objective is to provide professional with practical recommendations to improve service quality and cultivate enduring customer loyalty.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The research used a data set collected from Hotels.com, featuring various characteristics of 802 hotels in Izmir Province. Decision tree analysis was conducted using Classification and Regression Tree algorithm to explore the relationship between hotel characteristics and facilities with customer satisfaction.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The analysis revealed that the number of rooms is the primary factor influencing hotel ratings, with proximity to the airport and hotel classification also being significant. Additional factors such as public transportation distance and laundry services were important, while facilities such as ATMs, beach access and spas showed no significant impact on customer satisfaction. These findings emphasize the importance of core facilities and accessibility.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study contributes to the literature by offering a novel approach, using decision tree analysis to assess hotel customer satisfaction with structured data. It provides practical implications for hotel managers, enabling them to make data-driven improvements to achieve customer satisfaction. The integration rules created by the decision tree model into hotel management systems can enhance operational efficiency and competitive advantage in the hospitality industry.</p><!--/ Abstract__block -->","PeriodicalId":46072,"journal":{"name":"International Journal of Tourism Cities","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Tourism Cities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijtc-06-2024-0136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This study aims to identify the key hotel characteristics and facilities that significantly influence customer satisfaction based on Google review scores. By applying decision tree analysis, the research seeks to determine which aspects, such as service quality, hotel facilities and location, play pivotal roles in shaping customer experiences. The objective is to provide professional with practical recommendations to improve service quality and cultivate enduring customer loyalty.
Design/methodology/approach
The research used a data set collected from Hotels.com, featuring various characteristics of 802 hotels in Izmir Province. Decision tree analysis was conducted using Classification and Regression Tree algorithm to explore the relationship between hotel characteristics and facilities with customer satisfaction.
Findings
The analysis revealed that the number of rooms is the primary factor influencing hotel ratings, with proximity to the airport and hotel classification also being significant. Additional factors such as public transportation distance and laundry services were important, while facilities such as ATMs, beach access and spas showed no significant impact on customer satisfaction. These findings emphasize the importance of core facilities and accessibility.
Originality/value
This study contributes to the literature by offering a novel approach, using decision tree analysis to assess hotel customer satisfaction with structured data. It provides practical implications for hotel managers, enabling them to make data-driven improvements to achieve customer satisfaction. The integration rules created by the decision tree model into hotel management systems can enhance operational efficiency and competitive advantage in the hospitality industry.
期刊介绍:
A peer-reviewed journal, the International Journal of Tourism Cities provides an international forum for the critical study of urban tourism and tourism cities. The journal aims to be inter-disciplinary in its appreciation of tourism cities and tourism in urban areas, and welcomes original, theoretically-informed articles from those involved in the planning, management or marketing of tourism in city destination or places adjoining urban areas. Urban tourism and travel cover many disciplines and impinge on numerous aspects of daily life within cities. Moreover, they play a key role in domestic and international tourism in most countries, and cities often function as key travel gateways and tourism destinations. The International Journal of Tourism Cities contents include primary research articles, expert discussions on current urban tourism issues, and tourism city case studies. Articles are selected that are relevant to both academics and practitioners. The journal particularly encourages contributions on contemporary topics and issues in urban tourism including smart cities and tourism, environmental impact and sustainable tourism development in cities, citizen and stakeholder involvement in tourism, city destination governance, and the development of policies and standards for city tourism development. The International Journal of Tourism Cities has four distinct purposes: To encourage greater research and scholarship related to tourism in urban settings. To stimulate more interdisciplinary research on tourism in cities, particularly the integration of tourism and urban studies theories and principles. To generate more research studies on tourism at the edge of cities, where urban and rural areas converge. To create more literature on best practices in city tourism worldwide through in-depth analyses and the production of exemplary case studies.