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Research abounds highlighting the differences between males and females when they travel. Even in business travel, these differences have been acknowledged, with suppliers and marketers spending significant money to develop and market products to accommodate them. The purpose of this study is to ascertain whether differences exist in terms of mobile application usage between male and female business travellers.

A mixed method approach is followed. An internet-based survey is distributed and in-depth interviews conducted with South African business travellers. The Mann–Whitney U-test is used to test the differences between males and females and their mobile application usage. Content analysis is used to analyse the interviews.

The results show that mobile applications are perceived as more important by females than males in all the phases of the travel cycle, although most of these differences in perceived importance were not significant.

Owing to the online data-collection method and the self-selective process, the findings cannot be generalised to the global population of business travellers who use mobile applications.

The results should caution corporate organisations, travel management companies and their application developers not to spend unnecessary technological and financial resources on developing applications to accommodate differences between males and females, which might not exist. Companies should rather spend money on developing applications that will enhance and add convenience to the business traveller’s experience.

The main contribution of this study lies in investigating the applications market, particularly in the context of business travel. Applications focussed on specific sectors of the tourism industry, such as business travel applications, serve business travellers differently from generic travel applications. This research examines business travel-specific applications and expands the scale and scope of the enquiry, concentrating on the travellers’ view.

本论文主要研究男人和女人在旅游中的行为区别。特别是在商务旅游中, 男女差别确实存在, 这也验证了供应商和营销商在开发营销产品中的针对性和区别性。本论文旨在验证是否男女商务旅游者对使用移动APP存在区别。

本论文采用混合采样方法。采样方式通过网络问卷和深度访谈, 采样群体为南非商务游客。本论文采取Mann–Whitney U检验来测试男女在移动APP使用上的区别。本论文还采取文本分析法来分析访问数据。

研究结果表明女性游客在各个旅游阶段都比男性游客对移动APP更看重, 而这些区别在统计计算上并没有获得显著效果。

由于线上采样和自助问卷的采样限制, 研究结果不能推广到全球商务旅客对于使用移动APP的态度。

研究结果可以警示企业机构、旅游管理公司、以及APP开发商不要花费不必要的科技和财力资源来迎合男女受众的需求。因为这个区别可能不存在。公司应该花费财力在开发APP上, 使得商旅客人的使用体验更加便捷。

本论文最重要的贡献就是研究了商旅APP市场。商旅APP区分于普通旅游APP。我们的研究检验了商旅客人APP以及扩展其度量和研究视野到旅游者的角度。

移动设备， 性别， 商务旅行， 商务旅行周期， 商务旅客， 移动商务旅行应用

The purpose of this study is to integrate wayfinding strategies and open innovation to examine the factors of mobile application (M-App) design.

The study formulated an M-App model from the wayfinding sense-making and open innovation perspective. Samples were collected from the M-Apps users of Airbnb.com in a survey based on the principle of snowball sampling, and 416 samples were returned in total. The hypothesis testing of the model was conducted using structural equation modeling with Linear Structural Relations.

The operators of the lodging industry should design the recommended route on the M-Apps for tourists to reach the accommodation on the map function conveniently.

The orientation of wayfinding sense-making integrates the accommodation host to mark the direction of the accommodation on the map function of M-Apps to indicate the direction of the location.

The operators of the lodging industry should design the recommended route on the M-Apps for tourists to conveniently reach the accommodation on the map function.

For the M-Apps designer of the lodging industry, devising the function with an arrow point on the map would enable tourists to check their current location handily. Moreover, the M-Apps of lodging businesses can reduce marketing expenses from the high recommendations of tourists.

This paper aims to investigate the causal inferences between mobile application adoption and changes in travelers’ purchasing behavior regarding services supported by the travel and tourism industry.

Using a quasi-experiment conducted by an airline, data sets from more than 10,000 travelers were collected, and hypotheses were tested using propensity score matching and difference-in-difference methods.

Mobile application adoption has a significant positive effect on the total purchasing frequency of services and a significant adverse effect on booking tickets in advance and purchasing frequency from self-owned websites. Besides, this finding also suggested that members or travelers who had high average purchases in the past tend to buy more air tickets on average after mobile application adoption, while the number of days to book tickets in advance and purchase auxiliary services declined after mobile application adoption. However, males purchased more auxiliary services via mobile applications.

The study is based on the causal effect of mobile application adoption on purchasing behavior. Nevertheless, the theoretical basis remains relatively weak. Furthermore, the underlying mechanisms that cause the changes in purchasing behavior via mobile applications need to be elucidated.

This study enriches the hospitality and tourism literature on mobile application adoptions, multichannel purchasing behavior and revenue management. First, a quasi-experimental design is used to verify a causal relationship between mobile applications’ adoption and travelers’ purchasing behavior in the travel and tourism industry. Second, this study adds to examining travelers’ multichannel purchasing behavior in the travel and tourism industry. Third, this work enriches the current literature that explores auxiliary services and revenue management in the travel industry.

Mobile application adoption significantly impacted the travel and tourism industry. Besides, To the best of the authors’ knowledge, this is one of the first empirical studies that examined changes in purchasing behavior due to mobile application adoption from the perspective of service type. The findings provide the first evidence of the impact of mobile application adoption on service purchasing in the travel industry.

This exploratory paper examined consumers' use of information sources and intentions to book future travel in the early stages of the COVID-19 pandemic. Authors expected that general news and travel information accessed on the Internet would impact travel intentions.

Data were collected from 547 US online consumer panelists when all states were under “stay-at-home orders” in April 2020.

Differences existed in the impact of three stressors (health, personal and financial) on the use of information sources (general news and travel sources) and ultimately on booking intentions.

The lack of influence health stressors had on travel research activity raises a question for the travel industry as to critical choice of messages to be imparted during pandemic environments.

A three-factor model was used to assess the determinants of booking intentions during uncertain times. Authors applied the stimulus-organism-response (S-O-R) framework to explore information searching for travel during the pandemic.

The advent of the postpandemic era has brought renewed attention to the development of business tourism. However, the existing research on business tourism is fragmented, and there are gaps in the current understanding of the subject. This study aims to identify the intellectual structures, current hotspots and research directions in the business tourism field from 1994 to 2023.

A bibliometric visual analysis using VOSviewer was conducted to assimilate the available knowledge from 136 business tourism-related articles collected in the WoS Core Collection database between 1994 and 2023.

The results indicate that the number of business tourism-related research fluctuates, but the overall trend is gradually increasing. It synthesizes four main research themes, which are tourist behavior, destination marketing, information technology and work-family interferences of business travelers.

To the best of the authors’ knowledge, this study is among the first to systematically review business tourism publications over the past 29 years. It assists scholars in gaining a more comprehensive understanding of business tourism research and informs future research directions.

后疫情时代的到来使得商务旅游的发展再次受到关注。然而, 目前的商务旅游研究是零散的, 我们对与这一主题的理解存在空白。本研究旨在确定1994至2023年商务旅游相关领域的知识结构、当前热点和研究方向。

本研究使用VOSviewer进行了文献计量学可视化分析, 以吸收从Web of Science（WOS）核心合集数据库中收集的136 篇1994年至2023年间的商务旅游相关文章中的可用知识。

结果表明, 与商务旅游相关的研究数量呈现出波动但总体逐渐增加的趋势。其中包括四个主要的研究主题, 分别是游客行为、目的地营销、信息技术和商务旅行者的工作与家庭。

本研究系统回顾了过去29年间与商务旅游相关的出版物。从而有助于学者们对商务旅游研究有更全面地了解, 并获得未来的研究方向。

El advenimiento de la era postpandemia ha renovado la atención prestada al desarrollo del turismo de negocios. Sin embargo, la investigación existente sobre el turismo de negocios está fragmentada y existen lagunas en la comprensión actual del tema. El presente estudio tiene como objetivo identificar las estructuras intelectuales, los focos actuales y las direcciones de investigación en el ámbito del turismo de negocios desde 1994 hasta 2023.

Se realizó un análisis visual bibliométrico utilizando VOSviewer para asimilar el conocimiento disponible en 136 artículos relacionados con el turismo de negocios recogidos en la base de datos WoS Core Collection entre 1994 y 2023.

Los resultados indican que el número de investigaciones relacionadas con el turismo de negocios fluctúa, pero la tendencia general es a aumentar gradualmente. Se sintetizan cuatro temas principales de investigación: el comportamiento del turista, el marketing de destinos, la tecnología de la información y las interferencias trabajo-familia de los viajeros de negocios.

Este estudio es uno de los primeros que revisa sistemáticamente las publicaciones sobre turismo de negocios de los últimos 29 años. Ayuda a los investigadores a obtener una comprensión más completa de la investigación sobre el turismo de negocios y sugiere futuras líneas de investigación.

Information and communication technologies have been widely implemented and made radical changes for several decades in the hospitality and tourism industry. This rapid development also generates considerable data in social media. This trend opens the door to analyze unstructured data and gain increased attention of a qualitative research approach from hospitality and tourism researchers and industry professionals. Therefore, this paper aims to describe how a computer-assisted qualitative data analysis (CAQDA) approach can be used in the hospitality and tourism technology literature to uncover the trends and thematic concepts of hospitality and tourism technology research and their dynamics in Journal of Hospitality and Tourism Technology (JHTT)

To achieve the proposed research goals, the current study used CAQDA software, Leximancer, to analyze 218 articles published in JHTT between Volume 1(1) in 2010 and Volume 10(4) in 2019. Based on the rigorous CAQDA processes, the study performed the thematic analysis using all articles and subgroup analyses in the five-year periods.

Using CAQDA, the study reveals the critical research trends and insights on hospitality and tourism technology for 10 years in the JHTT. The findings of this study can provide strong evidence of what hospitality and tourism technology research topics have been examined and how these topics were connected and changed over time. More importantly, the current study illustrates how the CAQDA approach can be applied to uncover the hidden trends and thematic concepts from text data in the hospitality and tourism literature.

This study is the first attempt to apply CAQDA software to identify research trends and thematic concepts and gain insights from past JHTT’s articles. Moreover, this study applies this software to describe how hospitality and tourism researchers can use one of the modern computer-assisted qualitative techniques. Based on the findings of this study, theoretical and methodological implications for hospitality and tourism researchers are provided. More importantly, the current study presents the specific guidelines of how the CAQDA approach can be used for the literature review.

在酒店与旅游研究中, 信息和通讯技术被广泛应用了数十载, 也在发展中经历了巨大变革。如此迅速的发展在社交媒体中产生了大量数据。此项趋势为分析非结构化的数据以及为酒店旅游界增加定性研究打开了大门。因此, 以 Journal of Hospitality and Tourism Technology（JHTT） 发表的论文为例, 本研究旨在介绍在酒店旅游文献中如何运用计算机辅助的定性研究方法来发现研究趋势, 主题概念, 以及发展进程。

为达到研究目的, 本研究运用 CAQDA 软件, Leximancer, 来分析了 JHTT 从2010 年第1卷第1期截止到 2019 年第 10 卷第4期之间发表的 218 篇论文。基于 CAQDA 的严谨分析, 本研究对所有发表的论文进行了以5年为阶段的主题分析和分主题分析。

通过 CAQDA, 本研究发现了 10 年间在 JHTT 发表论文中凸显出来的酒店和旅游科技的研究趋势。研究结果为了解酒店旅游研究中出现的以科技为核心主题, 以及主题之间是如何关联以及发展提供了科研证据。更重要的是, 本论文为阐述 CAQDA 是如何可被应用到酒店旅游研究的文本分析中提供了例证。

本论文首次应用了 CAQDA 软件来发现科研趋势和研究主题, 从 JHTT 发表的论文中得到了深刻见解。此外, 通过应用此软件, 本研究也为酒店旅游学者展示了如何运用此项现代计算机辅助定性分析技术。本文结果对理论和方法论具有深远意义。更重要的是, 本研究提供了在文献综述中如何运用 CAQDA 提供了指导方针。

定性研究, 文献综述, 主题分析, 文本分析, 酒店和旅游科技, 计算机辅助定量分析, CAQDA, Journal of Hospitality and Tourism Technology, JHTT.

文章类型 研究论文

There has been a massive, revolutionary change over the past two decades in the travel and tourism industry. Mobile technology offers privileges to consumers in order to identify, customize and purchase tourism products and support the globalization of the industry by providing tools for developing, managing and distributing beneficiaries worldwide. These diligent advancements in mobile technology have made it extremely easy for everyone to know instantly as much about the world as they want. The use of smartphones, tablets and mobile devices has empowered global tourists with more flexibility, options and freedom to explore places than ever before. For that reason, mobile technology is a perfect fit for travel and tourism that plays an important role in massive cultural shift of consumer behaviour. All over the world, businesses are struggling to adapt to that incredible spread and impact of mobile technology and in the future, the technology will go on developing and adapting, as well. As mobile technology has been evolving rapidly and spreading across multiple tourism sectors, it is pivotal to take into account its role in creating innovative experiences for consumers and fostering a sustainable competitive advantage for suppliers in the tourism industry. Though mobile evolution has contributed to enhancing the travel factor at large, not much is known about how it has affected the tourism development. Finding this information is crucial for a deeper understanding of how consumers are using tourism-related mobile technology before, during and after their trip. It could provide meaningful perceptions to meet their expectations and to enhance their travel experiences. Therefore, this chapter aims to identify the potential of mobile technology in several businesses in the tourism sector providing guidance to understanding its role to enhance value creation in the future.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Mobile travel apps (MTA) smart features were identified based on recent travel application (app) trends and a literature review of MTA smart features. Subsequently, the MTA features that could be prioritised to increase user interest in MTA were determined. The MTA smart feature development challenges that should be mitigated were also identified.

The app identification and selection were based on the one-stop solution characteristics containing the common function of travel apps and eight MTA smart features. A total of 193 Apple apps and 250 Google apps were identified, where 36 apps that met the inclusion and exclusion criteria based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart were selected for evaluation.

The high user ratings for apps from both app stores revealed the acceptance of smart technology in the tourism industry. Geolocation tracking services, travel itinerary generators, and real-time personalisation and recommendation were the three major features available in the included MTA. The challenges of MTA with smart features were highlighted from the tourism organisation, app developer and user perspectives.

The findings can guide tourism organisations and app developers on the smart features that MTA should offer for user engagement. Technological organisations could optimise their technology stack by considering the identified smart features. The findings are valuable for scholars in terms of MTA aesthetics and usability to gain acceptability. The development challenges included significant investment in technology, location accuracy and privacy concerns when implementing MTA smart features.

The previous literature mainly focused on evaluating app quality, assessing app functionality, and user ratings using the Mobile Application Rating Scale, and scoping reviews of MTA articles. Contrastingly, this study is among the first in which MTA smart features were examined from a developer-centric perspective. Moreover, it is suggested that MTA includes integrated smart features for better tourism services and market penetration in the tourism industry.