Results 21 to 30 of about 10,252 (165)

The Adoption of New Technological Advancements to Build Resilience in Hotels [PDF]

open access: yesAfrican Journal of Hospitality, Tourism and Leisure, 2023
The hotel industry was in a fight for survival during the COVID-19 pandemic. To emerge resilient from the pandemic’s long-lasting impacts, the hotel industry needed to review, innovate and transform hotel operations.
Itumeleng Henry Tiso   +1 more
doaj   +1 more source

ALL THAT GLITTERS IS NOT GOLD: BEYOND ONLINE HOTEL REVIEWS

open access: yesTourism and hospitality management, 2022
Purpose - The purpose of this study was to uncover potential thematic mismatches between textual comments in online hotel reviews, on the one hand, and rating categories in those reviews, consumer experience scales, and marketing tools, on the other; and to draw attention to challenges that these mismatches pose for hotel managers and researchers ...
Ivana First Komen, Maja Vujičić
openaire   +3 more sources

Hotel Assessment through Social Media: The case of TripAdvisor [PDF]

open access: yesTourism & Management Studies, 2016
Hotel booking decisions are increasingly influenced by consumer feedback available on social media sites. Using data submitted by customers on TripAdvisor, this study analyzes the customer satisfaction ratings posted for 2,211 hotels.
Sebastian Molinillo   +3 more
doaj   +1 more source

Determinants of hotel guests’ satisfaction from the perspective of online hotel reviewers

open access: yesInternational Journal of Culture, Tourism and Hospitality Research, 2019
PurposeWith the proliferation of Web 2.0 and the travel-related user-generated content platforms, researchers can obtain abundant unsolicited data to examine guests’ perceptions, preferences and behaviors. Drawing on online reviews, this study aims to identify the key factors that determine guest satisfaction in lodging businesses.Design/methodology ...
Alrawadieh, Zaid, Law, Rob
openaire   +1 more source

MAXIMIZING SOCIAL VALUE IN THE HOTEL ONLINE ENVIRONMENT USING AN ANALYTIC HIERARCHY PROCESS

open access: yesJournal of Competitiveness, 2018
The paper analyses the possibilities that hoteliers have to create and maximize the social value of their online platforms, in terms of their functionality and usage, in order to improve sales and increase hotels’ performance.
Carmen Păunescu, Remus Moraru
doaj   +1 more source

The Influence of Visual Presentations and Online Reviews on Hotel Booking Intention on the Tiket.Com Application (Case Study: Tiket.Com Application Users)

open access: yesInternational Journal of Social Science and Religion, 2023
Tiket.com is an Online Travel Agent (OTA) that provides online hotel bookings. This study aims to analyze the effect of visual presentation and online reviews on hotel booking intention on the Tiket.com application.
Shiffa Intania Wardianti   +1 more
doaj   +1 more source

The Impact of Online Consumer Reviews on Online Hotel Booking Intention

open access: yesJournal of Business Research - Turk, 2021
Purpose –  The aim of this research is to investigate the impact of Online Consumer Reviews (OCRs) on consumers’ online hotel booking intention in the hospitality sector in Turkey. Design / Methodology / Approach -  This study utilizes quantitative research techniques.
Yiğit Can Güler, Farid Huseynov
openaire   +2 more sources

UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES [PDF]

open access: yesGeo Journal of Tourism and Geosites, 2022
Online reviews are used in tourism research to understand tourist behaviour. However, online comments made by hotel employee have not yet been adequately researched.
Ozan ÇATIR
doaj   +1 more source

Dissecting Genuine and Deceptive Kudos: The Case of Online Hotel Reviews [PDF]

open access: yesInternational Journal of Advanced Computer Science and Applications, 2014
As users continue to rely on online hotel reviews for making purchase decisions, the trend of posting deceptive reviews to heap praises and kudos is gradually becoming a well-established e-business malpractice. Conceivably, it is not trivial for users to distinguish between genuine and deceptive kudos in reviews.
Banerjee, Snehasish, Chua, Alton Y.K.
openaire   +4 more sources

Semi-Supervised Model for Aspect Sentiment Detection

open access: yesInformation, 2023
Advancements in text representation have produced many deep language models (LMs), such as Word2Vec and recurrent-based LMs. However, there are scarce works that focus on detecting implicit sentiments with a small amount of labelled data because there ...
Zohreh Madhoushi   +2 more
doaj   +1 more source

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