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1 – 10 of over 24000Zhixue Liao, Xinyu Gou, Qiang Wei and Zhibin Xing
Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that…
Abstract
Purpose
Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that incorporating online review data can enhance the performance of tourism demand forecasting models, the reliability of online review data and consumers’ decision-making process have not been given adequate attention. To address the aforementioned problem, the purpose of this study is to forecast tourism demand using online review data derived from the analysis of review helpfulness.
Design/methodology/approach
The authors propose a novel “identification-first, forecasting-second” framework. This framework prioritizes the identification of helpful reviews through a comprehensive analysis of review helpfulness, followed by the integration of helpful online review data into the forecasting system. Using the SARIMAX model with helpful online review data sourced from TripAdvisor, this study forecasts tourist arrivals in Hong Kong during the period from August 2012 to June 2019. The SNAÏVE/SARIMA model was used as the benchmark model. Additionally, artificial intelligence models including long short-term memory, back propagation neural network, extreme learning machine and random forest models were used to assess the robustness of the results.
Findings
The results demonstrate that online review data are subject to noise and bias, which can adversely affect the accuracy of predictions when used directly. However, by identifying helpful online reviews beforehand and incorporating them into the forecasting process, a notable enhancement in predictive performance can be realized.
Originality/value
First, to the best of the authors’ knowledge, this study is one of the first to focus on the data issue of online reviews on tourism arrivals forecasting. Second, this study pioneers the integration of the consumer decision-making process into the domain of tourism demand forecasting, marking one of the earliest endeavors in this area. Third, this study makes a novel attempt to identify helpful online reviews based on reviews helpfulness analysis.
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Riccardo Rialti, Zuzana Kvítková and Tomáš Makovník
Online reputation manager has become increasingly important in tourism industry. Managers, regardless of working for a hospitality structure or a tourism destination, are paying…
Abstract
Online reputation manager has become increasingly important in tourism industry. Managers, regardless of working for a hospitality structure or a tourism destination, are paying more and more attention in respect of the importance of reputational levels. Online reputation, in fact, originates in visitor's user-generated contents (UGCs) but reverberates on the whole web, on successive visitors' attitude and behavior, and on managed organization performances. How to manage online reputation in tourism and destination management anyway mostly stayed an anecdotal topic for many years. While best practices exist, indeed, literature has frequently neglected their systematization. Building on this need, this book will try to improve and organize the existing body of knowledge on this topic to help future hotel and destination managers to better deal with the mounting environmental complexity.
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Cross-cultural research constitutes a pivotal topic for marketing; however, the literature indicates that there are a few studies analyzing social media reviews from a…
Abstract
Purpose
Cross-cultural research constitutes a pivotal topic for marketing; however, the literature indicates that there are a few studies analyzing social media reviews from a cross-cultural perspective using cultural proximity (supra-national level) as a proxy of culture. Therefore, the purpose of this study is to identify cross-cultural differences in service evaluations and specifically, in hotel appraisals among tourists from Central, Eastern (including Post-Soviet States), Northern and Southern Europe.
Design/methodology/approach
A quantitative approach has been taken by studying online user-generated ratings of hotels on Trip Advisor. In total, 1,055 reviews of five hotels in Greece were used for the study.
Findings
Multivariate analysis of variance and analysis of variances results confirm cultural differences in overall service evaluations and attributes (value, location, sleeping quality, rooms, cleanliness and service) of tourists from various European regions. Specifically, Eastern Europeans uploaded more reviews than any other European group, whereas Northern Europeans were more generous in their appraisals than Eastern, Southern and Central Europeans.
Practical implications
The results of the study could be used for segmentation purposes of the European tourism market and for recognizing, which aspects of their services need to be improved based on the segments they serve. Moreover, managers should encourage Northern and Eastern Europeans to upload their reviews as both groups are more generous in their evaluations. Moreover, the findings are useful to marketers of other services.
Originality/value
To the author’s knowledge, this is the first study that examines cross-cultural differences in hotel appraisals from a supra-national perspective including developed (Northern and Western Europe), developing (Southern Europe) and emerging tourism markets (Eastern Europe).
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Marios Sotiriadis and Ciná van Zyl
The aim of this chapter is twofold: (i) to perform a synthesis of the academic research regarding the changes of tourist consumer behavior brought about by social media; and (ii…
Abstract
Purpose
The aim of this chapter is twofold: (i) to perform a synthesis of the academic research regarding the changes of tourist consumer behavior brought about by social media; and (ii) to suggest a set of strategies for tourism businesses to address resulting challenges.
Methodology/approach
Extensive literature reviews have been executed on the motivating factors and the effects of online reviews.
Findings
This analysis of the related research identified three main topics, namely: (1) the antecedents, the factors motivating tourists to write online reviews; (2) the impact of eWOM on providers of tourism services (business perspective); and (3) the influence of online reviews on consumers’ behavior (demand perspective). This chapter focuses on the impact of online reviews on tourism businesses and suggests suitable strategies.
Research limitations/implications
This study is based on a literature review and implications indicated by previous studies; hence the suggestions are indicative rather than conclusive. A need exists for empirical studies to fully validate the chapter’s suggestions.
Practical implications
This chapter outlines a series of adequate strategies formulated for business practitioners divided into two fields, namely managerial and marketing activities.
Originality/value
This study provides practical recommendations/suggestions for tourism businesses in addressing the challenges and opportunities raised within the online context.
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Mirko Olivieri, Elanor Colleoni and Giuseppe Bonaccorso
Because of the recent COVID-19 pandemic, online platforms where travelers' comments and reviews are published have grown considerably. More specifically, in the tourism sector…
Abstract
Because of the recent COVID-19 pandemic, online platforms where travelers' comments and reviews are published have grown considerably. More specifically, in the tourism sector, these social evaluations have been shown to have a strong influence as online platforms, such as online travel agencies (OTA), represent a main touchpoint for the formation process of the online corporate reputation. Hence, the purpose of this study is to investigate how the pandemic has influenced the online reputation formation of tourism companies and which are the new reputation pillars emerging from the COVID-19. To achieve this research aim, we analyzed the customers' reviews as reported publicly on TrustPilot.com, an online platform that allows customers to review businesses after a purchase or contact with their customer service, before and after COVID-19 so as to identify significant changes in the corporate reputational drivers of LastMinute.com. With this study we have identified the four topic clusters and their sentiment in the two periods of consideration, and we have found that the corporate reputation of tourism companies is formed today starting from different consumer needs. Finally, managerial implications for communication professionals operating in tourism firms are presented.
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The purpose of this paper is twofold: to perform a synthesis of academic research published between 2009 and 2016 regarding the changes in tourism consumer behavior brought about…
Abstract
Purpose
The purpose of this paper is twofold: to perform a synthesis of academic research published between 2009 and 2016 regarding the changes in tourism consumer behavior brought about by the use of social media (SM); and to suggest a set of strategies for tourism businesses to seize opportunities and deal with resulting challenges.
Design/methodology/approach
A volume of 146 peer-reviewed journal articles were retrieved from two major databases. Content analysis of this academic research has been performed, exploring the effects of online reviews on tourism consumers and providers.
Findings
The content analysis identified three main research themes that were investigated by scholars and classified into two major categories, namely, consumer perspective and provider perspective: the antecedents (factors motivating and influencing tourists); the influence of online reviews on consumer behaviour; and the impact of these reviews on tourism businesses (providers’ perspective).
Research limitations/implications
This study is based on a literature review and outcomes reported by previous studies; hence, the suggestions are indicative rather than conclusive. Some publication sources were not included.
Practical implications
This paper suggests a range of adequate strategies, along with operational actions, formulated for industry practitioners in the fields of management and marketing.
Originality/value
It provides an update of the state of published academic research into SM and an integrated set of management and marketing strategies for tourism providers in seizing the opportunities and dealing with the challenges raised in a digital context.
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Zhangxiang Zhu, Yaxin Zhao and Jing Wang
This study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal…
Abstract
Purpose
This study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal distance, social distance and experiential distance.
Design/methodology/approach
Based on construal-level theory (CLT), this study divides online travel reviews into concrete and abstract reviews. Three experiments were conducted to test the moderating effects of temporal distance, social distance and experiential distance on the influence of review content characteristics on tourists' travel intentions.
Findings
The results show that abstract reviews would lead to higher travel intentions than concrete reviews. Furthermore, tourists' travel intentions differed depending on social distance and were significantly affected by reviews posted by reviewers similar to review recipients. In addition, the study contributes by discovering that the moderating effects of temporal distance, social distance and experiential distance were not significant, which differs from most of the previous research conclusions.
Originality/value
This study focused on review content characteristics, which provided a novel perspective for constructing online travel reviews. Furthermore, this research defined the concept of experiential distance in the context of online travel and expanded the research on psychological distance.
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Linchi Kwok, Karen L. Xie and Tori Richards
The purposes of this study are to synthesize the current research findings reported in major hospitality and tourism journals and to discuss the knowledge gaps where additional…
Abstract
Purpose
The purposes of this study are to synthesize the current research findings reported in major hospitality and tourism journals and to discuss the knowledge gaps where additional research endeavors are needed.
Design/methodology/approach
A systematic review approach was adopted to analyze 67 research articles about online reviews that were published between January 2000 and July 2015 in seven major hospitality and tourism journals.
Findings
This study presents a thematic framework of online review research, which was advanced by integrating the interactions among quantitative evaluation features, verbal evaluation features, reputation features and social features of online reviews with important outcomes of consumer decision-making and business performance. The thematic framework helps researchers identify the areas in extant hospitality literature of online reviews and point out possible directions for future studies.
Research limitations/implications
The systematic review approach has a qualitative nature, where relevant literature was interpreted based on the authors’ domain knowledge and expertise.
Practical implications
Practitioners can gain a comprehensive understanding of the dynamic relationships among the key influential factors in online reviews, as presented in the thematic framework of online review research. Accordingly, managers will be able to develop effective strategies to leverage the positive impacts of online reviews to the business outcomes.
Originality/value
This systematic review synthesizes the findings reported in most recent publications (January 2000-July 2015; also including “Online First” articles) in seven major hospitality and tourism journals and develops an integrated research framework, anchoring on four meta-research questions and showing the dynamic relationships among the key players/factors/themes in online review research. This framework provides a visual diagram to practitioners for a better understanding of the relevant literature and assists researchers in developing new research questions for future studies.
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Helin Wei, Donglu Shan, Shaoying Zhu, Decheng Wu and Bei Lyu
To examine the relationship between online comments, merchant replies and online sales of tourism products and focus on the moderating role of tourist destination.
Abstract
Purpose
To examine the relationship between online comments, merchant replies and online sales of tourism products and focus on the moderating role of tourist destination.
Design/methodology/approach
This article uses crawler technology and regression analysis methods.
Findings
The researchers found the following: (1) The number of pictures uploaded with online comments, the number of merchant replies and the length of merchant replies have a significant positive effect on sales of tourism products, while the length of comments and the similarity of merchant replies negatively affect sales of tourism products. The emotional scores of the reviews do not significantly affect sales of tourism products. (2) Tourist destination moderates the relationship between user comments and sales of tourism products. The length of comments has a greater negative effect on sales of domestic tourism products, while the number of comments has a greater positive effect on sales of overseas tourism products. (3) Tourist destination moderates the relationship between merchant replies and sales of tourism products. Consumers who choose domestic tourism products pay more attention to the interactivity reflected by merchant replies (e.g. number and length of merchant replies), while consumers who choose overseas tourism products hope to receive replies that are more useful, such as reply similarity.
Originality/value
The research conclusions enrich the relevant research in the field of online review research and has practical significance for how companies increase sales of tourism products.
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The purpose of the study is to identify critical value-creating elements of luxury services expressed in ratings and reviews posted on third-party sites and examine cross-cultural…
Abstract
Purpose
The purpose of the study is to identify critical value-creating elements of luxury services expressed in ratings and reviews posted on third-party sites and examine cross-cultural differences. To this end, the research analyzed online ratings and reviews of luxury hotels posted on TripAdvisor from customers of four European regions (East, North, South and West).
Design/methodology/approach
Eight hundred thirty-eight online user-generated ratings and reviews of luxury hotels were analyzed quantitatively using MANOVA and qualitatively using text analysis.
Findings
The study findings support (a) that product and physical evidence are the most critical experiential elements of luxury hotels' offerings and (b) cultural differences among tourists from various regions of Europe in their hotel ratings and reviews. Specifically, Eastern and Northern Europeans are more generous in their review ratings than western and southern Europeans. Moreover, eastern Europeans value the hotel's physical evidence/environment whereas western Europeans prioritize the core product (room and food) followed by the physical environment/servicescape. Southern Europeans and Northern Europeans value most the personnel, followed by the physical environment and the core product, respectively.
Practical implications
Cultural differences provide several implications with regard to luxury services segmentation, social media management, service marketing mix development and hotel promotion.
Originality/value
The value of this study originates from studying post–purchase customer behavior in luxury services from a cross-cultural perspective. Moreover, identifying critical aspects of value-creating customer experience in a luxury context adds to the available literature.
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