Search

Behavioural economics is a recent field of economics, and in this study, we assess how e-trust affects hotel satisfaction and behavioural intentions, representing different purchase modes: online travel agencies and hotel websites, through a mixed structural equation and a third-person perception questionnaire. The results suggest that travellers believe that hotel websites are more benevolent and have more integrity and reliability than online travel agencies, whereas online travel agencies are more effective in terms of competence. In addition, consumers are more satisfied when their trust is high, and they are more likely to recommend and return to the same hotel. Reliable and efficient information management systems, whether provided by online travel agencies or hotel websites, are recommended. [ABSTRACT FROM AUTHOR]

The purpose of the study was to test a modified information system success model in the context of a mobile travel application in order to provide a richer explanation of the focal operating system and the psychological factors that leisure travelers regard as important for user engagement with mobile travel apps. The interrelationship among the basic constructs of DeLone and McLean's information system success model were also explored. A sample size of 219 mobile travel application users aged 18 years and older and who reside in South Africa was collected using purposive non‐probability convenience sampling. A self‐administered online survey was used for data collection. An exploratory factor analysis revealed the information quality and system quality dimensions to be a single dimension, which was named information and system quality. The results established information and system quality as a significant predictor of service quality. Information and system quality, involvement, and enjoyment also emerged as significant predictors of user engagement with mobile travel applications, while service quality is not. Furthermore, engagement significantly influences word‐of‐mouth. The study suggests that service providers of mobile travel applications should consider both the information and system characteristics of an application and the psychological factors of involvement and enjoyment if they are to have a better understanding of user engagement with mobile travel applications. The findings indicate that the modified DeLone and McLean's information system success model could be more applicable to exploring mobile travel application engagement in emerging economies, and could be applied to future related studies in other contexts in order to expand existing knowledge. [ABSTRACT FROM AUTHOR]

Indonesia has the potential for very abundant tourist areas. Each region or province still has many unexplored tourism potential or hidden gems. Indonesia consists of five main islands with 30 small islands, totaling 18,110 islands, with inhabited islands of around 6,000. Indonesia is one of the mega-biodiversity countries in the world, which means Indonesia has a high level of biodiversity. Indonesia has a rich cultural heritage; there are more than 300 ethnic groups, or 1,340 ethnic groups, in Indonesia. Information and communication technology (ICT) experience immense growth and change the way people search for information and purchase things through online networks, including travel booking. People easily search for any information regarding travel from multi channels available on their smartphone, including information about travel. This project is using a design thinking method which is a problem-solving approach that emphasizes empathy for the user, experimentation, and iteration. Each strategy needs clear performance measurements to make sure the business is doing well throughout its operations, both financially and non-financially. The business model of Trip ID seems promising as it ventures into a blue ocean with a unique product, targeting a niche market. The conversion process appears feasible and has shown promise. However, a significant challenge lies in gaining market share, as well-established competitors currently dominate 60% of the market. [ABSTRACT FROM AUTHOR]

This paper examines whether, and how, Foucauldian genealogy travels to contexts and problematizations beyond the method's European site of articulation. Our particular focus is on the work of Colombian philosopher Santiago Castro-Gómez, whose work includes both a systematic defense of the usefulness of Foucauldian inquiry for decolonial study and genealogical inquiry in a Foucauldian spirit but in a context beyond Foucault's own horizon of study. We show that taking up Foucault's work in the context of Latin America leads Castro-Gómez to significantly change Foucauldian concepts, categories, and methods. We further survey the potential synergies of decolonial thought and Foucauldian critique, while also highlighting how their joint mobilization requires a revision and problematization of key commitments of both approaches. [ABSTRACT FROM AUTHOR]

Travel is an activity that everyone carries out in their daily life. While travelling, commuters are exposed to air pollution, which is likely to impact their mode, route, and/or departure time choice. Various review studies on vehicular emissions have been conducted in the past, but the aspects of its impact on resulting air quality and travel behaviour are sporadic and largely unorganized. In an effort to close this gap, this study carried out an extensive review of 63 studies to document the influence of air pollution on travel behaviour. The findings reveal that a majority of the research in this arena has been carried out in the USA and China, and the highest instances of behaviour change was observed when users shifted their routes to reduce exposure. The awareness about AQI and its real-time pre-trip information plays a vital role in lowering commuters' air pollution exposure. Finally, strategies such as congestion/emission pricing schemes, MaaS, etc. could provide a clean travel environment to all commuters by reducing their exposure during travel. • Reviews best practices in air quality exposure and travel behaviour. • Smart route choice helps users minimize their exposure to poor air quality. • Integrating technological advances in TDM would provide a cleaner environment. [ABSTRACT FROM AUTHOR]

This study aims to investigate the impact of auction houses on the demand for business and cultural tourism, influencing travel experiences and shaping tourist expenditures. Using a decade of data and field observations, indepth researches were conducted with auction house stakeholders to explore the gap between starting and final selling prices and the tourist flow at these establishments. Tourist numbers were determined through "Office for National Statistics" data, and auction data were analysed using product catalogues and bid prices. Descriptive statistics and regression analysis were used to examine the relationship between tourist numbers and auction prices. The findings revealed no significant correlation between the selling prices of Islamic artifacts and tourist numbers; however, a strong correlation was observed between auction prices and final selling prices. It is recommended to analyse additional factors affecting tourist numbers in more detail. In light of these results, strategies emphasizing cultural and historical value are proposed for auction houses to enhance their tourist appeal, including the use of digital marketing and a reassessment of pricing strategies. This research underscores the need for a deeper understanding of the intricate relationship between auction houses and the tourism industry, emphasizing the necessity for further studies to make progress in comprehending and developing more effective strategies within a concise framework. [ABSTRACT FROM AUTHOR]

The analyses and considerations in this study focus on the frequency of the imperative as a linguistic device in German travel online catalogue in 2017 and 2023. The analysis was carried out on texts from the German online catalogue TUI Afrika November 2021/October 2022. The results of the analysis were compared with the results of a 2014 study (Premrov 2014), which looked at texts from the German online catalogue Tui Länderkatalog Asien 2017/2018. The occurrence of imperatives as a persuasive linguistic device is discussed in more detail below. The analysis opened up new fields of investigation and raised new questions regarding the function of the imperative as a key word in German advertising language. [ABSTRACT FROM AUTHOR]

Hybrid formations are forms of word formation that can be attributed to various factors and make a relevant contribution to the expansion of the German vocabulary. Globalisation, cultural interactions and new scientific findings can be cited as the origin of hybrid formations. The consequences of the creation and use of hybrid words are numerous, such as such as easier communication and perception, triggering of positive connotations and associations, language economics. The focus of this study was on the frequency of occurrence of nominal hybrid words and their orthography, as well as on the origin of the hybrid word components. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hospitality & Tourism Technology is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Digital audio–tactile maps (DATMs) on touchscreen devices provide valuable opportunities for people who are visually impaired (PVIs) to explore the spatial environment for engaging in travel activities. Existing solutions for DATMs usually require extensive training for the PVIs to understand the feedback mechanism. Due to the shortage of human resources for training specialists, as well as PVIs' desire for frequent practice to maintain their usage skills, it has become challenging to widely adopt DATMs in real life. This paper discusses the use of large language models (LLMs) to provide a verbal evaluation of the PVIs' perception, which is crucial for the independent practice of DATM usage. A smartphone-based prototype providing DATMs of simple floor plans was developed for a preliminary investigation. The evaluation results have proven that the interaction with the LLM could help the participants better understand the DATMs' content and could vividly replicate them by drawings. [ABSTRACT FROM AUTHOR]

Due to the characteristics of high-speed movement of vehicles, authentication between vehicles and roadside units (RSUs) needs to be performed quickly. Vehicles can obtain the authentication information of the relevant RSUs from the certification authority (CA) in advance through route planning. Fast authentication can be performed when the vehicle enters the RSU range. However, in most of the current vehicle-to-infrastructure (V2I) fast authentication schemes, when the vehicle requests the authentication information of an RSU from the CA, the vehicle often needs to provide the CA with the travel path information, which leads to the CA easily obtaining the travel path of the vehicle. In addition, the CA encrypts the private keys of RSUs and sends them to vehicles as authentication keys, and the vehicles can obtain the private key information of RSUs directly after decryption. Once the private keys of RSUs are leaked, vehicular ad hoc networks (VANETs) can be attacked by malicious access. In order to protect the confidentiality of RSU private keys and the route privacy of vehicles, we propose a privacy-preserving V2I fast authentication scheme in VANETs. The scheme realizes the confidentiality of RSU private keys and the route privacy protection of vehicles by improving the oblivious transfer (OT) algorithm. Security analysis proves that our scheme has good privacy and attack resistance. Finally, performance evaluation shows that the proposed scheme performs better in terms of computational overhead and communication overhead compared to related schemes. [ABSTRACT FROM AUTHOR]

AbstractThis paper presents the first empirical evaluation of Climate Perks, an employee benefit scheme designed to reduce air travel demand by offering additional paid annual leave to those travelling without flying for vacation purposes. In-depth interviews and surveys were undertaken with employers that offer Climate Perks and travellers who have claimed journey days. The findings show the value of positive action to enable sustainable consumption in contributing to catalysing and mainstreaming low-carbon travel, drawing out key themes around recruiting travellers to surface travel, sharing knowledge and know-how, recrafting temporal experiences and learning-by doing to overcome infrastructural complexities of surface travel in a mobility system presently dominated by air travel. The paper also discusses how the boundaries around personal action on climate change are shifting as employers recognise the contribution of work to the formation of personal routines. This paper thereby contributes to understanding air travel demand and explores the potential for reducing this emissions intensive practice. [ABSTRACT FROM AUTHOR]

Introduction: In the era of the Internet, online digital traces have become a new way to study the online attention of scenic spots and tourists’ purchase behavior. The public’s information search on major search platforms is a series of manifestations of potential tourists’ attention and interest in scenic spots, but there are few studies on how attention, interest and information search affect potential tourists to generate real purchase behavior. Method: This paper selects four dimensions of short video platform, travel website, search engine and social media to comprehensively measure the online attention of high-quality scenic spots in Yunnan Province, and then establishes a gray association analytic hierarchy process based on the relevant variables of the AISAS model to empirically analyze the primary and secondary factors affecting tourists’ purchase behavior. Results: (1) From the perspective of the online attention of scenic spots on different platforms, the intensity of the public’s scenic spots online attention on the four types of media platforms is in the order of travel websites, search engines, short videos and social media (2) From the perspective of spatial distribution characteristics, the online attention of high-quality scenic spots in Yunnan Province is unevenly distributed, that is, there is a big difference between the attention of higher star scenic spots and their star rating and popularity, while the attention of low-star scenic spots is not much different from their star rating and popularity (3) From the perspective of spatial agglomeration characteristics, the comprehensive online attention of high-quality scenic spots in Yunnan Province presents the spatial agglomeration characteristics of “the multi-core linkage of high-density in the east and north, and sub-high-density in the south” (4) The factors influencing the purchase behavior of potential tourists are sharing experience, attracting attention, generating interest and searching information. Discussion: By exploring the formation mechanism of high-quality scenic spots online attention in Yunnan Province and the mechanism of its spatial differentiation, this study not only enriches the logical chain of “tourism information source → potential tourists → demand driven → tourism information search → travel preference → destination selection → purchase decision → travel experience → real tourists → feelings after traveling → focus on feedback → tourism information source,” but also broadens the application scenarios and application boundaries of travel preference theory and AISAS behavior model to a certain extent. [ABSTRACT FROM AUTHOR]

Air pollution, particularly from particulate matter (PM2.5) and black carbon (eBC), has been implicated in airway pathologies. This study aims to assess the relationship between exposure to these pollutants and respiratory function in various populations, including healthy individuals, while seeking an accurate assessment method. A cross-sectional study was conducted in Bogotá, evaluating respiratory function in the users of bicycles, minivans, and buses through spirometry and impulse oscillometry. Measurements were taken along two main avenues, assessing the PM2.5 and eBC concentrations. The results reveal higher pollutant levels on AVE KR 9, correlating with changes in oscillometry values post-travel. Cyclists exhibited differing pre- and post-travel values compared to bus and minivan users, suggesting aerobic exercise mitigates pollutant impacts. However, no statistically significant spirometry or impulse oscillometry variations were observed among routes or modes. Public transport and minivan users showed greater PM2.5 and eBC exposure, yet no significant changes associated with environmental contaminants were found in respiratory function values. These findings underscore the importance of further research on pollutant effects and respiratory health in urban environments, particularly concerning different transport modes. [ABSTRACT FROM AUTHOR]

COVID-19 has affected the various aspects of social service delivery worldwide. Explicitly, pediatric service was affected mainly due to the travel restrictions, and children were at heightened risk due to these circumstances. Therefore, this study aims to analyze the Pediatric Clinical Practice in a Chinese children's hospital to describe and acknowledge the impact of COVID-19 on the pediatric healthcare system. For this purpose, the hospital's outpatient registration database was the primary information source, which comprises demographic data, including age, gender, city of residence, and hospital departments visited. Data on patients admitted from January 25, 2019, to April 16, 2019, were collected and used as a baseline. The results revealed that the number of pediatric visits to the case study hospital decreased during the COVID-19 pandemic, accounting for 40% of that in 2019, especially during the early stage of the pandemic. The proportion of pediatric patients from outside Chongqing decreased by approximately 14% in the early stages and increased by 24% in the second and third stages, corresponding to an overall decrease of 8.5%. Accordingly, the hospital responds to COVID-19 by providing valuable information and a guiding framework to the rest of the world on how to respond to a crisis. [ABSTRACT FROM AUTHOR]

Data are versatile objects that can travel across contexts. While data's travels have been widely discussed, little attention has been paid to the sites from where and to which data flow. Drawing upon ethnographic fieldwork in two connected data-intensive laboratories and the concept of domestication, we explore what it takes to bring data 'home' into the laboratory. As data come and dwell in the home, they are made to follow rituals, and as a result, data are reshaped and form ties with the laboratory and its practitioners. We identify four main ways of domesticating data. First, through storytelling about the data's origins, data practitioners draw the boundaries of their laboratory. Second, through standardization, staff transform samples into digital data that can travel well while ruling what data can be let into the home. Third, through formatting, data practitioners become familiar with their data and at the same time imprint the data, thus making them belong to their home. Finally, through cultivation, staff turn data into a resource for knowledge production. Through the lens of domestication, we see the data economy as a collection of homes connected by flows, and it is because data are tamed and attached to homes that they become valuable knowledge tools. Such domestication practices also have broad implications for staff, who in the process of 'homing' data, come to belong to the laboratory. To conclude, we reflect on what these domestication processes—which silence unusual behaviours in the data—mean for the knowledge produced in data-intensive research. [ABSTRACT FROM AUTHOR]

Nation‐wide cuts to bus subsidies have led to reduced service in rural communities in the UK, leaving those who do not have access to a car – most of whom are older, have a disability, or have a low income – with few other options to meet their travel needs. This has resulted in greater demand on community transport, small‐scale, local, and community‐based transport schemes that are run by the not‐for‐profit sector and are primarily volunteer‐run. Drawing on 28 interviews conducted with volunteers and staff from community transport schemes across Oxfordshire, this paper describes the provision of community transport schemes at the intersection of informal transport and an ethics of care. This sector is posited as informal, however; unlike many informal transport schemes, community transport is non‐entrepreneurial. Instead, these schemes emerge from the community and are care‐driven. Volunteers who run these schemes all provide skilled labour that is a practice of caring about, caring for, or care giving. This framing highlights the undervaluing of community transport. Indeed, the labour and schemes are underfunded and lack recognition. This study therefore emphasises the socio‐political nature of community transport and shows the importance of supporting caring transport services. It concludes by discussing how this undervalued sector might be re‐valorised so that it can continue to support those with few other transport options. Community transport refers to small‐scale, local, and community‐based transport schemes that are run by the not‐for‐profit sector and are primarily volunteer‐run. Drawing on 28 interviews conducted with scheme providers, this paper describes the provision of community transport schemes at the intersection of informal transport and an ethics of care. This care‐driven informality framing highlights the undervaluing of community transport, a trend that might be applied to other sectors in need of revalorisation. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has created significant challenges to the global economy, especially within the tourism industry. Economic downturns and psychological barriers make it even more challenging to attract tourists back. This paper explores the stimulating effect of digital travel vouchers on tourist mobility, as well as the heterogeneous effects of different vouchers modes. Using monthly data on tourist inflows in 306 cities from September 2020 to December 2021, collected by a web-crawling tool, and manually gathered information of digital travel vouchers issued during this period, our analyses show that digital travel vouchers can boost tourist inflows. Their effectiveness, however, depends on the method of issuance and the total number distributed. Furthermore, significant spillover effects among neighboring cities are found through a spatial econometric model. [ABSTRACT FROM AUTHOR]

In pilot trials, Finnish caseworkers in child welfare services used an AI tool predicting severe risks faced by their clients. Based on interviews with the caseworkers involved, this article draws on those trials to discuss AI valences, or the range of expectations of AI's value and performance, in social work and beyond. While AI travels across sites of application and sectors of society, its value is often expected to come from the production of anticipatory knowledge. The predictive AI tool used by Finnish caseworkers offers an example: it turned past data about clients into predictions about their future, with an aim of authorizing present interventions to optimize the future. In the pilot trials, however, AI met the practice of social work. In contrast to generic expectations of predictive performance, caseworkers had contextual expectations for AI, reflecting their situated knowledge about their field. For caseworkers, anticipation does not mean producing pieces of speculative knowledge about the future. Instead, for them, anticipation is a professional knowledge-making practice, based on intimate encounters with clients. Caseworkers therefore expect AI to produce contextually relevant information that can facilitate those interactions. This suggests that for AI developments to matter in social work, it is necessary to consider AI not as a tool that produces knowledge outcomes, but one that supports human experts' knowledge-making processes. More broadly, as AI tools enter new sensitive areas of application, instead of expecting generic value and performance from them, careful attention should be paid on contextual AI valences. [ABSTRACT FROM AUTHOR]

Based on big data, a new public space evaluation method is proposed. Using programming technology to collect visitor reviews from the travel website TripAdvisor to build a database, based on the data of 99,240 words in 1573 visitor reviews in 10 years, the connection between data and reality is established through systematic data classification and visualization. Following an assessment of the Kimbell Art Museum's functionality, architectural design, and landscape design, along with visitor feedback, a new evaluation methodology was formulated for application to public buildings with landscapes. By utilizing the unique advantages of big data, it provides convenient and efficient analysis methods for public spaces with similar data foundations and opens the way for the optimization of the built environment in the information age. [ABSTRACT FROM AUTHOR]

This study investigats the relationships among positive emotions, perceived threats, protection motivation, coronavirus disease 2019 (COVID-19) vaccination intentions, quarantine-free travel intentions and COVID-19 protective behaviors in the context of quarantine-free travel. Data were collected from Singaporean tourists in Batam and Bintan of Indonesia using travel bubbles. A total of 387 respondents completed the questionnaires. The findings can help tourism managers create and implement market-driven service initiatives to increase positive emotions, protection motivation, and intentions to take quarantine-free travel and decrease perceived threats in order to enable tourists to have accurate COVID-19 protective behaviors. [ABSTRACT FROM AUTHOR]

Optimized user experience and individualized task assistance are key factors for the success of e-business applications because they serve both, users, and service providers. In this paper we present an adaptation agent for observing and analyzing interactive behavior, emotional state and task-accomplishment of individual users while working with interactive e-business applications. The agent recognizes specific situations and can adapt the interactive application at runtime by co-operating with a model-based user interface development framework (MBUID) and by providing domain-specific guidance for the user. After introducing purpose, business context of our approach, and related work, the paper discusses the structure and functionality of the SitAdapt adaptation agent. The operation of the adaptation agent is demonstrated for a travel-booking platform that currently serves as a workbench for testing and evaluating our situation-analytic and emotion-triggered approach for creating highly competitive and individualized business applications. [ABSTRACT FROM AUTHOR]

In the digital age, social media has a significant impact on consumer perceptions. This business communication study examines the linguistic strategies used to express and repair negative electronic word of mouth (eWOM) in Hong Kong’s luxury hotel sector. The data, which were collected from travel forums, consist of 17,344 words from online hotel reviews (11,647 words) and responses (5,697 words) made by the visitors and senior hotel management of 18 five-star hotels. Using systemic functional linguistics as a framework, this study analyses the logical relations that exist between expectant and concessive conjunctions, as well as the evaluative judgment resources present in an appraisal system. The analysis focuses on the poor service standards framed in the complaints and how the hotel management responds to such situations differently, particularly with respect to repairing customer expectations. This study also examines how loyal fans and frequent travellers present their customer identity when dealing with service-related issues. By developing an understanding of how luxury hotels manage customer complaints, repair customer relationships, and protect their brand reputation through dynamic interactions, this study can provide valuable communication insights for the hotel sector. [ABSTRACT FROM AUTHOR]

This article examines the effects of the COVID-19 pandemic on the travel???tourism stock markets. Specifically, it considers the five most visited countries: France, Spain, the US, China, and Italy. Unlike previous studies, it estimates time-varying VAR (TVP-VAR) models, including daily observations of confirmed COVID-19 cases, economic activity, CDS spreads, and the returns of travel???tourism sectors. In brief, our findings indicate that the effects of COVID-19 vary across countries, as well as over time. Specifically, increasing numbers of cases initially had a negative and significant impact on the travel???tourism stock returns of all countries. However, this effect had become insignificant by early April 2020. The travel???tourism markets of the European countries were seen to be more heavily affected by COVID-19 when compared to China and the US, with China seeming to have been the least affected country of all. Overall, our results are essential in understanding the impact of the COVID-19 pandemic on the travel???tourism stock markets, and are of particular importance to policymakers, portfolio managers, and investors. [ABSTRACT FROM AUTHOR]

This study examines the impact of changes in consumer confidence and uncertainty related to economic policy, financial markets, and the crude oil market, on the returns and risk of the UK travel and leisure stock index. Using monthly data from November 2005 to February 2021 and applying quantile regressions and copula-based conditional value-at-risk (CoVaR) measures, the results are as follows. First, consumer confidence and uncertainties significantly impact the travel and leisure index returns across various quantiles, however, the impact is stronger at the left tail than the right tail; furthermore, the sign and magnitude of the impact differ across the various uncertainty measures. Second, there are significant upside and downside extreme risk spillovers from the extreme movements in the consumer confidence and uncertainty indices to travel and leisure index returns, with evidence of an asymmetric impact. Third, the results are influenced by the COVID-19 pandemic and global financial crisis. These findings have implications for market participants, such as portfolio managers, individual and institutional investors, and policymakers in the UK travel and leisure industry. [ABSTRACT FROM AUTHOR]

This study investigates the impact of economic incentives on travel-related physical activity, leveraging the London Congestion Charge's disincentivising of sedentary travel modes via increasing the cost of private car use within Central London. The scheme imposes charges on most types of cars entering, exiting, and operating within the Central London area, while individuals living inside the charging zone are eligible for a 90% reduction in congestion charges. Geographical location information provides the full-digit postcode data necessary to precisely identify the eligibility for the discount of participants in the London Travel Demand Survey for the period 2005–2011. Using a boundary regression-discontinuity design reveals a statistically significantly positive impact on active commuting (i.e. cycling and walking) around the border of the charging zone. The effect is larger for lower-income households and car owners. The findings are robust against multiple specifications and validation tests. [ABSTRACT FROM AUTHOR]

The paper investigates the evolution of air passenger profiles in terms of regulatory environment, competitive landscape, socio-economic and demographic trends. The research is supported by passenger surveys carried out since 2001. The surveys have been designed to provide objective and in-depth insights into the preferences and behaviors of air passengers in the Serbian market. The resulting passenger segments are categorized based on socioeconomic and travel purpose criteria, but the surveys conducted at Serbian airports reveal that competition triggered the service quality to become a major issue in the Serbian market, after the entrance of low-cost carriers. The research of future projections of air passengers in Serbia is based on the Delphi method for two-time horizons (2025 and 2035) and three future scenarios are proposed. [ABSTRACT FROM AUTHOR]

This article explores the efficacy of experience-based marketing strategies in enhancing customer engagement and retention within the dynamic landscape of the tourism and travel industry. Drawing upon a comprehensive case study analysis, this research delves into the nuanced mechanisms through which experiential marketing initiatives impact consumer behavior and loyalty. By examining diverse experiential tactics such as immersive storytelling, interactive technology integration, and personalized service offerings, this study uncovers the pivotal role of memorable experiences in fostering emotional connections and long-term relationships with customers. The findings underscore the significance of crafting unique, sensory-rich encounters that resonate with travelers' aspirations, preferences, and values. Moreover, this research elucidates the strategic implications of leveraging experiential marketing to differentiate brands, drive word-of-mouth advocacy, and sustain competitive advantage in an increasingly crowded marketplace. Insights from this study offer actionable recommendations for tourism and travel businesses to design and implement effective experience-based marketing campaigns that cultivate deep-seated connections with their target audience, engender brand loyalty, and ultimately drive business growth. [ABSTRACT FROM AUTHOR]

The rise of e-commerce, bolstered by advances in information and communication technology (ICT), has made it possible for consumers to shop online without the need to physically travel. The unexpected emergence of COVID-19 further accelerated this shift towards online shopping. This paper compares virtual versus physical access to goods, drawing from dual access theory. It aims to offer a comprehensive understanding of the disparities in accessibility between digital and brick-and-mortar shopping experiences. Our results indicate that, when considering the complete private costs — including the intrinsic costs of shopping and those incurred en-route like travel and delivery fees — online shopping typically offers greater accessibility and is more cost-effective than its in-store counterpart. While physical access to shopping displays a pattern where the central city has a distinct advantage over the suburbs, virtual access presents a more uniform distribution throughout the city. [ABSTRACT FROM AUTHOR]

Social media influencers, or digital creators followed by online audiences of thousands and millions, are a hot marketing tool that grows over 50% annually. Recently, the impact of COVID-19 on travel has severely disrupted this developing market, and heavily impacted travel influencers whose livelihood depends on collaboration with tourism, hospitality, and food businesses. This research presents the first "big data" evaluation of the induced transformations among the top Instagram travel influencers. The findings are based on computer image recognition of photographs published by 140 travel Instagrammers ranging from micro- to mega-influencers before and during the COVID-19 pandemic. In addition, the research proposes a methodology of identification of sponsored posts among travel influencers based on the fuzzy matching of post mentions and a global database of 6 million businesses. [ABSTRACT FROM AUTHOR]

This paper aims to analyze how vloggers use interactions of different modalities in transnational travel vlogs on YouTube to draw audiences' attentions, as well as the impact of the socio-cultural context on the discourse of these vlogs and the represented city images. This research project adopts a multimodal approach by using a new analytical framework based on provenance symbols in semiotics, appraisal systems, and visual grammar in linguistics as theoretical foundations. Our research findings show that there are four dominant themes, including nature enjoyment, landmark visiting and street wandering, food tasting, and infrastructure evaluation in these vlogs. North American full-time vloggers with advanced skills and rich experience are the main contributors, which may lead to a fixed and biased representation of city images. The mechanism of city image formation, from cities' physical existence to foreign viewers' perception via transnational travel vlogs, has also been illustrated. The city image exists in a dynamic landscape where online opinion leaders also hold significant discourse power. Though becoming more visible, cities are facing challenges related to the increasing homogenization of mediated images. The research findings also have practical implications for redefining approaches to the international communication of city images to diverse stakeholders including city administrators and travel vloggers. This paper expands the scope of research on urban communication by adopting a comparative and global perspective. The new analytical framework can serve as a reference for future studies on new media content. Furthermore, the systematic mechanism of city image formation presented contributes to a deeper understanding of the role of new media in the international communication of city images. [ABSTRACT FROM AUTHOR]

The number of hotel visitors who post their personal experiences on online hotel review forums after their trips has increased significantly in the digital age. However, there is limited linguistic research that examines 1) how international travelers communicate online to share their negative hotel experiences and 2) how luxury hotel management resolves complaints and regains customer trust. This study examines electronic word-of mouth (eWOM) in the reviews and focuses on posted by international travelers who stayed at Hong Kong's 5-star luxury hotels and e-replies posted by hotel management groups. The data are based on authentic reviews collected from an online travel review forum. The present study employs appraisal analysis (Martin & White, 2005) and specifically the engagement system to investigate heteroglossic voice in 38 sets of complex ecomplaints and responses totaling 17,344 words. The findings contribute to the advancement of professional discourse in hospitality service encounters. [ABSTRACT FROM AUTHOR]

The reason for this paper is to show how advertising in creating and changing the travel industry on the planet. The travel industry advertising is the business control of pulling in guests to a particular area. Lodgings, urban areas, states, purchaser attractions, assembly halls and different destinations and areas related with customer and business travel, all apply fundamental advertising methodologies to explicit strategies intended to build visits. In the travel industry, showcasing incorporates deciding the extraordinary selling advantage or advantages one region has over its opposition. An objective may offer individuals hoping to join business and delight simplicity of movement to and from the space, adequate show lobbies and lodgings, fascinating nightlife, and exercises for grown-up accomplices and kids. The travel industry advertising utilizes a wide assortment of interchange as procedures and strategies to advance regions and objections. A conference hall may buy commercials in exchange magazines for meeting organizers and send post office-based mail materials to partnerships that hold occasions. They may put promotions in tennis or golf magazines to draw in those buyers. The travel industry objections assemble sites and spot advertisements in shopper distributions read by their objective clients. The offices of trade are engaged with advancing their zones for the most part and the organizations inside their spaces explicitly. This regularly incorporates offering potential guests bundles loaded up with pamphlets, rebate coupons and different materials. [ABSTRACT FROM AUTHOR]

In this work, data is collected through a questionnaire evaluating factors, such as informativeness from AI, recommendations via AI, social media, customer purchase behavior, learning new strategies, and online tourism marketing influence. The data underwent analysis using the Statistical Package for Social Sciences (SPSS), which allowed us to perform various analysis methods, such as ANOVA analysis to establish statistically significant relationships between the independent variables. The analysis indicates that AI-driven informativeness and AI-based recommendations have a significant influence on travel decision-making. On the other hand, social media does not have a significant impact on travel decision-making. However, for tourism product selling, customer purchase behavior and online tourism marketing have a significant impact, whereas learning new strategies does not affect tourism product selling. [ABSTRACT FROM AUTHOR]

We develop a model of inter-temporal and intra-temporal price discrimination by monopoly airlines to study the ability of different discriminatory pricing mechanisms to increase efficiency and the associated distributional implications. To estimate the model, we use unique data from international airline markets with flight-level variation in prices across time, cabins, and markets and information on passengers' reasons for travel and time of purchase. The current pricing practice yields approximately 77% of the first-best welfare. The source of this inefficiency arises primarily from private information about passenger valuations, not dynamic uncertainty about demand. We also find that if airlines could discriminate between business and leisure passengers, total welfare would improve at the expense of business passenger surplus. Also, replacing the current pricing that involves screening passengers across cabin classes with offering a single cabin class has minimal effect on total welfare. [ABSTRACT FROM AUTHOR]