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, Год журнала: 2022, Номер 14(6), С. 3454 - 3454

Опубликована: Март 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.

Язык: 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

и другие.

Utilities Policy, Год журнала: 2022, Номер 75, С. 101336 - 101336

Опубликована: Янв. 10, 2022

Язык: Английский

Процитировано

79

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

и другие.

Computers & Industrial Engineering, Год журнала: 2022, Номер 172, С. 108648 - 108648

Опубликована: Сен. 11, 2022

Язык: Английский

Процитировано

52

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, Год журнала: 2022, Номер 35(6), С. 4701 - 4722

Опубликована: Окт. 28, 2022

Язык: Английский

Процитировано

51

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

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 73, С. 103334 - 103334

Опубликована: Март 28, 2023

Язык: Английский

Процитировано

35

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

и другие.

Journal of Consumer Behaviour, Год журнала: 2023, Номер 23(1), С. 90 - 106

Опубликована: Март 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.

Язык: Английский

Процитировано

33

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

и другие.

International Journal of Hospitality Management, Год журнала: 2024, Номер 118, С. 103684 - 103684

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

15

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

и другие.

Annals of Tourism Research Empirical Insights, Год журнала: 2025, Номер 6(1), С. 100170 - 100170

Опубликована: Март 6, 2025

Язык: Английский

Процитировано

2

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

Sustainability, Год журнала: 2022, Номер 14(4), С. 2011 - 2011

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Sustainability, Год журнала: 2021, Номер 14(1), С. 435 - 435

Опубликована: Дек. 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.

Язык: Английский

Процитировано

35

Measuring the Service Quality of Artificial Intelligence in the Tourism and Hospitality Industry DOI
Jeganathan Gomathi Sankar, Arokiaraj David

Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2023, Номер unknown, С. 133 - 155

Опубликована: Июнь 30, 2023

The tourism industry is rapidly adopting artificial intelligence (AI) to enhance customer experiences and improve service delivery. However, the adoption of AI has raised concerns about concierge chatbots, digital assistance, proactiveness, anthropomorphism, security, its impact on overall satisfaction. Therefore, aim this research measure quality in industry, with primary data collected Pondicherry. This study a quantitative that utilized survey method collect data. A total 350 respondents were targeted, 307 valid responses obtained. analyzed using confirmatory factor analysis structural equation modeling. highlights technology significant positive industry. contributes literature by providing empirical evidence context importance

Язык: Английский

Процитировано

14