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The purpose of this paper is to present a framework for intellectual capital (IC) disclosure in cross-cultural E-tourism which includes identifying key success factors, as well as selecting indicators in operational level.

The method described in this paper involves IC process model initiating from strategy formulation, following key success factors analyst by using a detailed interpretative structural model (ISM) instrument, and the indicators selection employing Delphi approach. The paper explicates methodological decisions associated with cross-cultural E-tourism context: selecting the appropriate specialists panel; the approach to data collection; and selecting the measurable indicators.

This paper proposes three critical components of the framework: key success factors that based on an organization's strategies and contexts; indicators that measure and monitor the value of IC; an IC model that can help cross-cultural E-tourism enterprise improve management effectively.

This paper extends the methodology developed previously to examine IC information in tourism enterprise. The paper introduces an alternative methodological paradigm to the study of IC measurement framework by employing the ISM. This exploratory study employs IC process model to build up cross-cultural E-tourism IC model, which is a start point for the value and performance research of this kind of enterprise.

E-tourism is instilling in the tourism industry with the advancement in the technological infrastructure all over the world and fetching tremendous tourists’ attention. The dynamic changes in the technological aspects unveil varied developments in the tourism industry. This paper attempts to reveal the developments in the field of e-tourism by a systematic review of the literature using bibliometric analysis.

In total,146 research articles were retrieved from the Web of Science data during the period of 2004 – 2020, for further analysis using VOSviewer and Biblioshiny package of R Studio.

Useful insights resulted in the form of most cited papers, contribution in e-tourism research by different authors, countries, institutions, journals and so on, co-occurrence analysis and cluster analysis for major trends or themes of e-tourism. This study solicits an elaborated review of e-tourism research and unveils the future directions for the researchers.

This study adds substantial value to the research of e-tourism by analysing the bibliometric data of the last 16 years, that is, from 2004 – 2020, procured from the Scopus by analysing the significant trends developed in the e-tourism research. It also adds value by indicating the emerging areas of e-tourism.

The purpose of this paper is to empirically test the relationship between the various components of intellectual capital (IC) (human, organizational, technological and relational) and organization performance (OP) in small and medium enterprises (SMEs) in the manufacturing sector in the region of Baja California, Mexico.

A sample of 127 surveys was applied to CEOs, CFOs or managers of SMEs. In order to test the research hypotheses, a multiple regression was run prior to the development of exploratory and confirmatory factor analyses.

The results showed that the four capitals have a positive influence on OP; the evidence is consistent with several studies in Mexico and abroad. Furthermore, knowledge management was introduced as a moderating variable and the result was that it negatively moderates the relationship between IC and OP.

The main limitation of this research is that it only focused on one region and a single sector in Mexico. However, future research at the national level might verify the hypotheses tested.

This research contributes to enrich the theoretical framework for the Mexican context regarding IC; additionally, it allows contrasting the evidence with other studies at national and international levels.

The purpose of this study is to compare the spatial distribution of Airbnb and hotels in London and examine the relationship between demographic, socioeconomic and environmental factors and the supply of these two types of lodging supply.

Local information of Airbnb listings in London was collected through Insideairbnb.com. Gathered data were examined using geo-spatial auto-correlation analysis and spatial econometric models.

The results indicate that Airbnb predominates in the areas around popular tourist attractions and the peripheral areas of the city, while in the downtown area Airbnb and hotels are in the state of coexistence. The mono-centric model and the agglomeration model could be extended to the context of peer-to-peer accommodation. The location of Airbnb and traditional hotels capitalizes on different factors.

The study is based on secondary data due to data availability. And, it is based on the case of London, so the findings may not reflect the situation of small cities and rural destinations.

This study not only gives suggestions for local councils to regulate the location of hotels and Airbnb but also provides professional landlords with reference to choosing Airbnb location.

This study extends the hotel location theoretical models into the context of Airbnb and sheds lights on the distinction between these two business models in terms of location factors.

爱彼迎和酒店的位置：空间分布和关系

本研究旨在比较伦敦Airbnb和酒店的空间分布, 并探讨人口、社会经济和环境因素与这两类住宿供给的关系。

伦敦Airbnb房源信息通过Insideairbnb.com网站收集, 采用地理空间自相关分析和空间经济计量模型进行分析。

结果表明Airbnb主要集中在旅游景点周边和城市周边地区, 在市中心地区, Airbnb与酒店处于共存状态。单中心模型和聚集模型适用于共享住宿情境。Airbnb和传统酒店的空间分布影响因素的重要性存在差异。

本研究将酒店区位理论模型扩展到Airbnb情境下, 并揭示了这两种商业模式在区位因素方面的区别。

本研究采用二手数据。案例地为伦敦, 因此研究结果可能无法反映小城市和乡村旅游目的地的情况。

地方政府应更加重视专业公司的劳动力保障并限制旅游景点周边的短期租赁。

Ubicación de los hoteles y preferencias: distribución espacial y relaciones

El propósito de este estudio es comparar la distribución espacial de Airbnb y los hoteles en Londres y examinar la relación entre los factores demográficos, socioeconómicos y ambientales y la oferta de estos dos tipos de oferta de alojamiento.

La información local de los anuncios de Airbnb en Londres se recopiló a través de Insideairbnb.com. Los datos recopilados se examinaron mediante análisis de autocorrelación geoespacial y modelos econométricos espaciales.

Los resultados indican que Airbnb predomina en las zonas aledañas a los atractivos turísticos populares y las zonas periféricas de la ciudad, mientras que en la zona centro Airbnb y los hoteles se encuentran en estado de convivencia. El modelo monocéntrico y el modelo de aglomeración podrían extenderse al contexto de la acomodación entre pares. La ubicación de Airbnb y los hoteles tradicionales se basa en diferentes factores.

Este estudio amplía los modelos teóricos de ubicación de hoteles en el contexto de Airbnb y arroja luz sobre la distinción entre estos dos modelos comerciales en términos de factores de ubicación.

El estudio se basa en datos secundarios debido a la disponibilidad de datos. Y se basa en el caso de Londres, por lo que los hallazgos pueden no reflejar la situación de las ciudades pequeñas y los destinos rurales.

Los hallazgos sugieren que las autoridades locales deberían prestar más atención a la seguridad laboral de las empresas profesionales y restringir los alquileres a corto plazo alrededor de las atracciones turísticas.

Discusses the growing importance of tourism which has prompted governments and travel organisations to conduct additional research on the travel and holiday habits of their own citizens and foreigners. Explains that this article's purpose is to identify the foreign traveller with respect to both demographic and psychographic profiles. Confirms the study was undertaken in a cross‐cultural setting to test the ability of these profiles to portray national differences that may exist between foreign travellers. Reports the findings strongly support the notion that psychographic variables are needed o distinguish the foreign traveller from the domestic traveller in a meaningful way. Uses a sample from questionnaires of travellers conducted in the USA and Finland from spring 1977 — the US sample was a random one of 401 from 2,200; and in Finland 307 people were used making 60%. Goes on to discuss the relative results from these. Sums up that foreign and domestic‐only travellers may be similar in their socio‐economic profiles but distinctly different in their psychographic patterns.

The purpose of this paper is to provide an overview of leadership styles in the hospitality industry. It also demonstrates theories used in hospitality leadership styles research, identifies the main outcomes and highlights gaps for future research.

This paper presents a comprehensive review of the 79 articles on leadership styles in the hospitality context spanning over 13 years (2008–2020) and extends the scope in distinctive means.

This review has demonstrated that leadership styles research in hospitality has made progress in the past 13 years; however, there are conceptual and empirical overlaps among different leadership styles in hospitality. There is a lack of research on antecedents and integrating theories in studies. This review has revealed that several leadership styles have not been rigorously examined in hospitality research with their outcomes.

The search strategy used to find articles published in Web of Science about leadership styles in hospitality was restricted to title to boost the accuracy of the subsequent literature.

By following the guidance presented in this review, the authors expect to advance and maintain hospitality leadership research to provide substantive insights into the context of hospitality leadership over the coming years.

To the best of the authors’ knowledge, this study is one of the first to undertake a comprehensive understanding of various leadership styles in the hospitality context. This study provides a comprehensive projected research agenda to demonstrate theoretical discourses and empirical research. Overall, this critical review presents a holistic idea of the focus of the prior studies and what should be highlighted in future studies.

This research paper aims to investigate the predictors and outcomes of immersive technology adoption in tourism.

PLS-SEM is used for data collected from tourists visiting the UAE and Egypt to examine predictors and consequences of adoption.

It is revealed that perceived ease of use, enjoyment, immersion, usefulness and attitude towards technology predict immersive technology adoption. It is also revealed that the adoption affects tourists’ perceived value and engagement, which, in turn, affects tourists’ satisfaction and loyalty.

The study has integrated a research model that combines both antecedents and consequences of immersive technology adoption where few empirical investigations were revealed to draw conclusions on this research area. Also, missing relations have been included and tested in the research model.

Knowing the behavior of tourists visiting cultural destinations enables better management of tourist flows, a better understanding of areas with greater tourist density and an opportunity to decongest popular neighborhoods. The purpose of this study is to segment tourists according to their spatio-temporal behavior and identify the primary variables that characterize the resulting segments, which will help urban destinations prevent problems arising from the saturation of tourists in certain areas.

To do this, this paper analyzes the behavior of tourists visiting the southeastern Spanish city of Granada, one of the most highly visited cultural tourism destinations. The data analysis used the methodology of sequence alignment which is used to identify segments as a function of their contained elements and the order in which these appear.

The results demonstrate the existence of three segments with different behavioral patterns: the “explorer tourists” segment, the “non-traditional cultural tourists” segments and the “typical cultural tourists” segment. These segments show differences in the concentration of their visits. This study discovered that the segments that visit a greater number of destination areas are those with less cultural orientation, higher travel budgets and younger and more frequent visitors.

In the segmentation not only keep in mind the visited areas, but the order in which they were visited as well. In addition, one should consider the time that each tourist remains in each relevant zone of the destination, given that the visiting time is an important variable to assess the congestion of an area.

The purpose of this paper is to analyze the factors that affect consumer adoption of new ways of sharing accommodation services. Moreover, the authors study the influence of culture, more specifically the uncertainty avoidance (UA) dimension, on relationships between variables in a proposed adoption model.

The structural equation analysis method is used to verify the proposed model. The data were collected from a panel of Spanish and Vietnamese internet users. The survey yielded a total of 418 responses for the data analysis.

The findings indicate that subjective norms and ease of use exert an effect on perceived usefulness and that intention to use affects actual use in all the groups analyzed. Furthermore, UA has a moderating effect on the adoption of homesharing platforms (HSPs).

A larger sample and a random sampling would facilitate a more accurate generalization of the results obtained for each country. The practical implications identified in this research, along with its limitations and future research opportunities, are interesting both for scholars, service providers and designers of HSPs.

This study bridges a gap in the current research by increasing understanding of the role of the cultural dimensions in a technological innovation adoption model for an HSP. It also takes into account the effect of perceived risk, a dimension that has not been included in previous studies.

This study aims to examine the effect of several types of ex post idiosyncratic deals (i-deals) on work–life balance and work well-being, focusing on the mediating effect of work–life balance on the relationship between ex post i-deals and work well-being as well as the moderating effect of gender on the relationship between ex post i-deals and work–life balance in the hospitality industry.

This study uses a questionnaire survey of 642 hotel managers from developed cities in China and analyze the data with structural equation modeling. This study also conducts on-site interviews among 20 hotel managers to support conclusions of the survey.

The results indicate that task i-deals as well as career and incentives i-deals significantly promote work–life balance, thereby indirectly improving work well-being. However, the impact of flexibility i-deals on work–life balance and work well-being is insignificant. The influence of career and incentives i-deals on work–life balance for males is slightly stronger than that for females.

This study has practical implications for hotel employers in terms of using various ex post i-deals to motivate and retain hotel managers by improving personal work–life balance and work well-being.

As one of early attempts to highlight the potential of i-deals to serve as solutions for work–life conflicts and unhappiness issues among hotel managers, this study provides novel insights into the mediating process between ex post i-deals and work well-being from the work–life balance perspective as well as distinct influences of various ex post i-deals on work–life balance for male and female managers.