Quality Attributes of Hotel Services in Brazil and the Impacts of COVID-19 on Users’ Perception DOI Open Access
Clérito Kaveski Peres, Edson Pacheco Paladini

Sustainability, Journal Year: 2022, Volume and Issue: 14(6), P. 3454 - 3454

Published: March 15, 2022

The unprecedented crisis faced by the hotel industry due to COVID-19 pandemic has brought about changes in guests’ perceptions of service quality attributes. In view need monitor this environment, study is dedicated identifying main negative topics related services Brazil and impacts on perception these topics. For purpose, a set 866,048 online reviews were collected from Booking.com platform. Initially, data analyzed through topic modeling identify attributes addressed guests their evaluations. Subsequently, an average comparison method was used evaluate impact evaluation scores each attribute. A total 13 five identified. room cleaning check-in most negatively impacted pandemic, with largest drops scores.

Language: Английский

Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic DOI
Thanatorn Chuenyindee, Ardvin Kester S. Ong, Jon Pauline Ramos

et al.

Utilities Policy, Journal Year: 2022, Volume and Issue: 75, P. 101336 - 101336

Published: Jan. 10, 2022

Language: Английский

Citations

75

Customer preference identification from hotel online reviews: A neural network based fine-grained sentiment analysis DOI
Yiwen Bian, Rongsheng Ye, Jing Zhang

et al.

Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 172, P. 108648 - 108648

Published: Sept. 11, 2022

Language: Английский

Citations

51

Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca DOI Open Access
Ahmed Alsayat

Neural Computing and Applications, Journal Year: 2022, Volume and Issue: 35(6), P. 4701 - 4722

Published: Oct. 28, 2022

Language: Английский

Citations

49

Exploring thematic influences on theme park visitors' satisfaction: An empirical study on Disneyland China DOI Creative Commons
Shizhen Bai, Hao He, Chunjia Han

et al.

Journal of Consumer Behaviour, Journal Year: 2023, Volume and Issue: 23(1), P. 90 - 106

Published: March 16, 2023

Abstract This study aims to explore thematic influences on theme park visitors' satisfaction through user‐generated data. To this end, we first used an unsupervised machine learning method, structural topic modeling, and analyzed 112,000 reviews post by visitors Shanghai Disney Resort from June 16, 2016 March 4, 2022. Our findings are of great significance for reflecting consumer behavior Specifically, find that is highly related service in the their playing feeling, early tourists pay more attention experience specific items while later focus overall experience. In addition, empirical conducted treating ratings associated with each review as dependent variable represented comments independent variables, which shows relationship between customer becomes less pronounced over time. other words, time goes, customers can reflect subjective feelings or experience, but rating not. We discover “dynamics” data gain a better understanding aspects concerns The contribute literature tourism, service, also providing valuable practical implications.

Language: Английский

Citations

33

Analysis of customers' satisfaction with baby products: The moderating role of brand image DOI
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Sarminah Samad

et al.

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 73, P. 103334 - 103334

Published: March 28, 2023

Language: Английский

Citations

33

Determining directions of service quality management using online review mining with interpretable machine learning DOI Creative Commons
Jongkyung Shin, Junegak Joung, Chiehyeon Lim

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 118, P. 103684 - 103684

Published: Jan. 21, 2024

Language: Английский

Citations

13

Mining online hotel reviews using big data and machine learning: An empirical study from an emerging country DOI
Le Thi My Hanh,

Thuy-An Phan-Thi,

Binh T. Nguyen

et al.

Annals of Tourism Research Empirical Insights, Journal Year: 2025, Volume and Issue: 6(1), P. 100170 - 100170

Published: March 6, 2025

Language: Английский

Citations

1

Net Promoter Score (NPS) and Customer Satisfaction: Relationship and Efficient Management DOI Open Access
Asier Baquero

Sustainability, Journal Year: 2022, Volume and Issue: 14(4), P. 2011 - 2011

Published: Feb. 10, 2022

The NPS index is used in the hotel industry to measure customer loyalty and, by extension, satisfaction. Many companies set their annual budget based on this and include it, together with economic results, for evaluation when deciding a potential management bonus. For managers some companies, achieving high becomes nearly as important strong results. purpose of research deepen study analysing existing relationship that model has satisfaction, focusing following main areas hotel: reception, cleanliness room comfort, gastronomy. To do so, uses fuzzy qualitative comparative analysis (fsQCA). New evidence value offered sample six hotels (4 5*) located Balearic Islands, Spain (Mallorca, Minorca, Ibiza). In total, 557 surveys were completed August 2021 571 2020, therefore both groups impacted Black Swan (BS) event, COVID-19 pandemic, two different stages its trajectory. results suggest sample, key factor was (1) gastronomy (after more than one year pandemic), (2) comfort 2020 (at beginning pandemic). These offer insights managers, well academics who can develop new lines subject.

Language: Английский

Citations

34

Air-Travelers’ Perceptions of Service Quality during the COVID-19 Pandemic: Evidence from Tripadvisor Sites DOI Open Access
Deniz Sulu, Hüseyin Araslı, Mehmet Bahrı Saydam

et al.

Sustainability, Journal Year: 2021, Volume and Issue: 14(1), P. 435 - 435

Published: Dec. 31, 2021

The COVID-19 pandemic has impacted both healthcare and the economy on a global scale. This changed consumer habits behaviors significantly, primarily because of confinement-related issues. While numerous research been undertaken to study customer satisfaction using surveys online passenger ratings, effect not explored. It is vital assess indicators gathered from reviews ascertain consumers’ preferences for airline services during pandemic. goal this determine primary themes that emerged travelers’ internet outbreak. Additionally, it attempts which these relate higher lower satisfaction. article uses qualitative (i.e., narratives) analyses examine main components passengers’ subjective experiences airline. Data are represented by posted TripAdvisor website. revealed ten in descriptions travel experiences. These include “flight”, “service”, “staff”, “food”, “check-in”, “cancellation”, “COVID-19”, “airport”, “class”, “luggage”. Dissatisfying concepts linked with “refund”, “airport” concepts.

Language: Английский

Citations

34

Customer satisfaction during COVID-19 phases: the case of the Venetian hospitality system DOI
Veronica Leoni, Anna Moretti

Current Issues in Tourism, Journal Year: 2023, Volume and Issue: 27(3), P. 396 - 412

Published: Jan. 10, 2023

This work presents a longitudinal analysis of hotel customer satisfaction, making comparison between pre- and post-pandemic situations, as well detailed the evolution satisfaction throughout different phases COVID-19 crisis. To this end, we used representative microdata from more than 405,000 online reviews 802 Venetian accommodation facilities. Data were retrieved Booking.com platform cover 2018–2021 period. Results point to systematic reduction although negative effect is non-linear over time. In fact, magnitude varies according severity phase (acute vs. transitional periods) on replication number type (first versus second wave), displaying some adaptation effects. The paper contributes literature sustained crises, with an empirical application one most popular tourist destinations. Our results suggest that managers should respond critical situations taking care their customers' identifying needs depending crises' phases.

Language: Английский

Citations

12