UGC-Based Factors Influencing Customer Satisfaction Pre and Post COVID-19: The Case of Lake Constance
2024 (English)In: INFORMATION AND COMMUNICATION TECHNOLOGIES IN TOURISM 2024, ENTER 2024 / [ed] Berezina, K Nixon, L Tuomi, A, Springer, 2024, p. 373-384Conference paper, Published paper (Refereed)
Abstract [en]
User-generated content (UGC) created and distributed through social media and tourism-related websites provides potential travelers the opportunity to gain first-hand experiences about destination products and services. UGC is also of great value to tourism service providers. Since UGC represents customers' opinions and experience outcomes, potential problems, but also drivers behind customer delight can be identified. In this regard, also temporal changes regarding customer requirements can be determined. The aim of this paper is to identify how certain topic areas mentioned in UGC affect customer satisfaction, exemplarily analyzed for the Lake of Constance Region. Furthermore, potential temporal changes regarding customer satisfaction since the outbreak of the COVID-19 pandemic will be examined. A sentiment analysis, topic detection and regression analysis are carried out on two datasets containing UGC before and after the outbreak of the pandemic. Findings show that the pandemic has changed customers' attitudes towards certain topic areas.
Place, publisher, year, edition, pages
Springer, 2024. p. 373-384
Series
Springer Proceedings in Business and Economics, ISSN 2198-7246
Keywords [en]
Text Mining, Linear Regression, Sentiment Analysis, Topic Detection, User Generated Content, COVID-19
National Category
Business Administration
Identifiers
URN: urn:nbn:se:miun:diva-52203DOI: 10.1007/978-3-031-58839-6_39ISI: 001265165600039ISBN: 978-3-031-58841-9 (print)OAI: oai:DiVA.org:miun-52203DiVA, id: diva2:1891788
Conference
31st Annual International eTourism Conference (ENTER) - Challenging the Next 30 Years of Tourism, JAN 17-19, 2024, Izmir, TURKEY
2024-08-232024-08-232024-08-23Bibliographically approved