Ana Brochado, José Manuel Cristóvão Veríssimo, Cristina Lupu
{"title":"基于 Skytrax 在线评级和重要性-绩效分析的机场体验评估：一种细分方法","authors":"Ana Brochado, José Manuel Cristóvão Veríssimo, Cristina Lupu","doi":"10.1057/s41270-024-00326-x","DOIUrl":null,"url":null,"abstract":"<p>This study assessed airport service quality by conducting importance-performance analysis (IPA) of user-generated content and examining the usefulness of a priori segmentation in the airport industry. The data were drawn from 35,138 Web reviews of airports worldwide shared online via the Skytrax website. Importance ratings were derived using the indirect method based on an artificial neural network. The results reveal that the most important attributes are staff and queuing time. The findings also include that service quality attributes’ importance and priority areas needing improvement vary according to traveler type, airport experience category, and region of origin. This study produced valuable insights into how airports can use IPA to leverage their passengers’ online reviews in order to enhance service quality and address customer heterogeneity.</p>","PeriodicalId":43041,"journal":{"name":"Journal of Marketing Analytics","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Airport experience assessment based on Skytrax online ratings and importance-performance analysis: a segmentation approach\",\"authors\":\"Ana Brochado, José Manuel Cristóvão Veríssimo, Cristina Lupu\",\"doi\":\"10.1057/s41270-024-00326-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This study assessed airport service quality by conducting importance-performance analysis (IPA) of user-generated content and examining the usefulness of a priori segmentation in the airport industry. The data were drawn from 35,138 Web reviews of airports worldwide shared online via the Skytrax website. Importance ratings were derived using the indirect method based on an artificial neural network. The results reveal that the most important attributes are staff and queuing time. The findings also include that service quality attributes’ importance and priority areas needing improvement vary according to traveler type, airport experience category, and region of origin. This study produced valuable insights into how airports can use IPA to leverage their passengers’ online reviews in order to enhance service quality and address customer heterogeneity.</p>\",\"PeriodicalId\":43041,\"journal\":{\"name\":\"Journal of Marketing Analytics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Marketing Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1057/s41270-024-00326-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marketing Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41270-024-00326-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Airport experience assessment based on Skytrax online ratings and importance-performance analysis: a segmentation approach
This study assessed airport service quality by conducting importance-performance analysis (IPA) of user-generated content and examining the usefulness of a priori segmentation in the airport industry. The data were drawn from 35,138 Web reviews of airports worldwide shared online via the Skytrax website. Importance ratings were derived using the indirect method based on an artificial neural network. The results reveal that the most important attributes are staff and queuing time. The findings also include that service quality attributes’ importance and priority areas needing improvement vary according to traveler type, airport experience category, and region of origin. This study produced valuable insights into how airports can use IPA to leverage their passengers’ online reviews in order to enhance service quality and address customer heterogeneity.
期刊介绍：
Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors.
Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter.
The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline.
The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy.
The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
