Search results

This study aims to examine the demographic differences of Chinese nationals’ travel experience sharing through different offline and online platforms.

Cross-tabulation analysis was applied on a national sample of 6081 respondents in China.

The study found that Chinese women tend to share travel experience more often than Chinese men; old people in China tend to use the face-to-face approach more than online or social media to share their travel experience. About 66.5 per cent of the survey sample used WeChat Moments to share their travel experience, highlighting WeChat as the dominating social media platform in China for travel sharing. In general, people who share via online platforms (WeChat, Weibo, QQ Space) tend to be young, single or unmarried, well-educated and earning a high monthly income.

The study offers an in-depth understanding of travel experience sharing idiosyncrasies in China.

Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points to construct urban security risk indicators. This paper combines traffic data and urban alarm data to analyze the safe travel characteristics of the urban population. The research results are helpful to explore the diversity of human group behavior, grasp the temporal and spatial laws and reveal regional security risks. It provides a reference for optimizing resource deployment and group intelligence analysis in emergency management.

Based on the dynamics index of group behavior, this paper mines the data of large shared bikes and ride-hailing in a big city of China. We integrate the urban interest points and travel dynamic characteristics, construct the urban traffic safety index based on alarm behavior and further calculate the urban safety index.

This study found significant differences in the travel power index among ride-sharing users. There is a positive correlation between user shared bike trips and the power-law bimodal phenomenon in the logarithmic coordinate system. It is closely related to the urban public security index.

Based on group-shared dynamic index integrated alarm, we innovatively constructed an urban public safety index and analyzed the correlation of travel alarm behavior. The research results fully reveal the internal mechanism of the group behavior safety index and provide a valuable supplement for the police intelligence analysis.

This study aims to examine the factors influencing tourists to share their travel experiences on social media (SM).

An online questionnaire was administered to 1,280 American travelers, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM).

The PLS-SEM results indicated that non-participant sharing had a direct and positive effect on tourists’ tendencies to share their travel experiences on SM. Environmental, relational and security concerns had direct and negative effects on actual travel-experience sharing, whereas altruism, personal fulfillment and self-actualization had direct and positive effects on actual travel-experience sharing.

Travelers were found to attach importance to content shared on SM when they believed the content to be objective and reliable and were more likely to share such content on their own SM accounts. This finding suggests that tourist-created content is crucial. Tourism businesses, therefore, should reduce or eliminate inhibitory factors to increase content sharing. This research provides guidance for tourism businesses’ SM initiatives.

The study, first, contributes to an understanding of the factors affecting the sharing of travel experiences on SM. Second, this study develops a holistic approach that integrates the factors that might affect tourists’ SM content-sharing behavior into a single model.

The present study aims to examine whether leisure time posts shared on WhatsApp status drive to travel and tourism consumption among users.

In this study, discriminant analysis was employed to test hypotheses and identify essential factors.

The study indicated that the eight most contributing factors are expressing happiness, planning leisure time, views and comments, attractiveness, inquiring about places, preferring to post, nice way of expression and relax. These factors came from the latent variables of attitude, motivation and self-expression. Overall, the main influencing factors are internal (attitude and motivation), followed by an external factor i.e. self-expression. Additionally, the findings indicated that these significantly and positively impact travel and tourism consumption.

The discriminators identified in the study would guide tour and travel agencies and the agencies' managers on how best to adopt WhatsApp and WhatsApp's status application to influence aspiring travelers.

This study enlarges the existing literature by integrating three factors, attitude, motivation and self-expression, into a model to influence the behavioral outcomes of aspirational travelers using WhatsApp status.

The purpose of this study is to examine how one's social media use during travel, to connect and/or to update, is related to selected personal values among Generation Z. Hypotheses are proposed based on how values are related to two common dimensions: openness-to-change and self-enhancement.

A survey was conducted using existing and self-developed scales with 177 college students, a group of Chinese Gen Zers, at a public higher education institution in Macao, China.

Results show that community values and materialistic values have a significant influence on social media use, whereas family values do not. Between two distinctive social media uses, consumers with a stronger materialistic value are more likely to use social media to update. Subjects with a stronger community value are more likely to use social media to connect.

The study scrutinizes how mobile social media may be used in travel among Generation Z, who grew up with mobile devices and social media while forming personal values under the influence of families, communities and external environments. Travel destinations and services could streamline social media marketing efforts at those personal values that are relevant to their target markets. The results offer practical applications and directions for future research.

This study aims to explore tourism live streamers’ motivations of sharing their travel experiences based on the grounded theory.

The use of purposive and snowball sampling methods was used to conduct 22 in-depth semi-structured interviews. The manuscript was analyzed based on the grounded theory.

This study identifies five tourism live streamers’ motivations of sharing their travel experience, including information sharing, entertainment, self-presentation, monetary incentives and socialization. Information sharing and entertainment are identified as the most important motivations of travel livestreaming (TLS) among the motivations. Monetary incentive is identified as a new motivation for tourism live streamers compared to other social media users.

This study provides valuable suggestions for livestreaming platforms and tourism product providers to attract more tourism live streamers and better serve them.

To the best of the authors’ knowledge, this is one of the first studies to offer empirical findings and discussions on tourism live streamers’ motivations of sharing their travel experiences.

本研究旨在基于扎根理论探讨旅游直播主分享旅游体验的动机。

使用目的性和滚雪球抽样方法进行了22个深入的半结构化访谈。 本研究采用扎根理论对数据进行分析。

本研究发现了五种旅游直播主分享旅游体验的动机, 包括信息共享、娱乐、自我展示、金钱激励和社交。信息共享和娱乐被认为是旅游直播最重要的动机。与其他社交媒体的用户相比, 货币激励被认为是旅游直播的新动机。

本研究为直播平台和旅游产品提供商提供有用的建议, 以吸引更多的旅游直播者并更好地为他们服务。

这是对旅游直播主分享旅游体验的动机提供实证研究结果和讨论的首批研究之一。

este estudio tiene como objetivo explorar las motivaciones de los transmisores en vivo del turismo para compartir sus experiencias de viaje según la teoría fundamentada.

Des méthodes d'échantillonnage raisonné et boule de neige ont été utilisées pour mener 22 entrevues semi-structurées approfondies. Le manuscrit a été analysé sur la base de la théorie ancrée.

este estudio identifica las motivaciones de cinco transmisores en vivo del turismo para compartir su experiencia de viaje, incluido el intercambio de información, el entretenimiento, la autopresentación, los incentivos monetarios y la socialización. El intercambio de información y el entretenimiento se identifican como las motivaciones más importantes de la transmisión en vivo de viajes (TLS) entre las motivaciones. El incentivo monetario se identifica como una nueva motivación para el transmisor en vivo del turismo en comparación con los usuarios de otras redes sociales.

este estudio proporciona sugerencias útiles para que las plataformas de transmisión en vivo y los proveedores de productos turísticos atraigan a más transmisores turísticos en vivo y les brinden un mejor servicio.

este es uno de los primeros estudios que ofrece hallazgos empíricos y debates sobre las motivaciones de los transmisores en vivo del turismo para compartir sus experiencias de viaje.

Leisure travel has long been seen as a means of conspicuous consumption in pursuance of personal prestige; yet, there is no empirical evidence that travel affects personal prestige of tourists. The aims of this study are to develop a scale measuring personal prestige and to experimentally test prestige evaluations based on amount of leisure information, tourism participation and different types of leisure.

In an experimental online survey, 477 respondents were presented with a manipulated social media profile and asked to evaluate personal prestige of the person on the profile.

Results present evidence that representation of travel experience has a positive effect on personal prestige evaluations of tourists. The authors found significant differences in personal prestige depending on experimental variations.

This study advances methodological approaches towards the study of tourists’ prestige by providing a reliable, multidimensional measurement scale for personal prestige. The findings yielded by subsequent application of the scale in an experimental setting provide empirical evidence that sharing travel experiences has measurable and experimentally testable personal prestige benefits for tourists.

Travelers’ narratives disseminated online about destination experiences are an important source of information for measuring the performance of tourist destinations and understanding travelers’ perceptions, behaviors and expectations. Drawing on data from travel narratives, the purpose of this study is to examine the destination image of Istanbul as revealed in Western travel blogs. In addition, this study aims to identify the demographic characteristics of travelers who are more likely to engage in destination blogging activities.

A deductive content analysis approach was used on a sample of travel blog entries retrieved from TravelPod.com. Based on the dimensions and attributes of destination image identified by Beerli and Martín (2004), a coding scheme was established to guide the coding process.

The findings suggest that the online destination image of Istanbul is generally positive. Specifically, the destination is mainly appreciated for its cultural and historical heritage, as well as for its tourist infrastructure. However, the findings also highlight some issues that concern Western travelers, such as safety and traffic congestion.

This study is timely as it explores the online destination image of a key destination in a period of instability. The findings are expected to offer insights for destination management organizations in Turkey on how Western travelers view Istanbul as a tourist destination. These insights are also important to help policymakers and tourism destination marketers design effective strategies.

Taking a retrospective view, the present study aims to investigate the resilience of shared facilities (accommodation) across India in the post-pandemic period. More specifically, it explores the issues and challenges in implementing sustainable practices in the long run taking a dual perspective of both consumers and service providers.

A mixed-method study was pursued in exploring the future resilience of the shared facilities in the post-pandemic period. A multi-method triangulation approach was adopted involving both data collection and data analysis. Primary data was collected through focus group sessions and analysed through a grounded theory study. Whereas, secondary data was extracted from Twitter and processed through textual data mining using the NVivo (12 Pro) software. Critical themes and sentiments were explored through the dual study and a corroboration process was followed thereon to support the findings.

The dual study extracted major themes pertaining to the present pandemic scenario wherein recovery strategies are at the top priority for all tourism service providers. Among the major themes tourists 2019 passiveness towards the environment existing misconceptions with shared facilities and situational perspective emerged as critical issues worrying service providers in the post-pandemic period. Furthermore the sentiment analysis indicated a positive start to the recovery measures wherein both tourist and tour operators are confident to embrace and restore the shared facilities/business respectively with additional care and responsibilities.

The novelty of the study lies in the identification of critical themes and sentiments concerning the future resilience of the shared economy businesses post-pandemic period in Indian tourism which can have a generalized effect across the world. Moreover, the study corroborated the findings of the dual study where similarities among the themes were observed.