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Internet technology has changed the way information is distributed and the way people do business in the industry. Its impacts have been well studied, but the time element seems to be ignored for the investigation of risks taken and trustworthiness held by online shoppers. The time element should be included because pre-travel plans are usually made and a time lapse does exist between “the time a reservation is made” and “the time the reservation is confirmed.” This study proposes an online purchasing model to investigate the relationships among trustworthiness, time lapse, and online reservation activities. A significant correlation was found between trustworthiness and online reservations but despite such significance, time lapse neither sways the trustworthiness nor leads to low reservation retention.

Online marketing become a trend in recent years focussed on online social networks, such social networks have rapidly grown in popularity; providing platforms to the marketing of products and services for the hospitality industry. Online marketing offers media technologies that can facilitate online functionality and monitoring perspectives wherein the data gathered can be used to develop their services for customer satisfaction. The purpose of this study is to study the impact of online marketing in travel agency. The data collected using google online survey and analysed using SPSS. The findings stressed that online marketing in travel agency has a positive relationship in increasing the sale of packages in travel agency. Travel agencies who use online marketing more frequently receive more correspondence. Therefore, travel agencies should use online marketing to generate more income. The value of time has also changed, making communication a process that has to be instant and simplified. Hence, travel agencies have to use online marketing and taking into account travellers feedbacks and complaints as well as delivering information about products and services in real time. Travel agencies have no chance to face their competitors if they don’t adopt online marketing strategies.

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.

This chapter focuses on individuals’ mental representations of complex decision problems in transportation. An overview of approaches and techniques in this recent area of research is given as well as an illustration. The illustration concerns an application of CNET (causal network elicitation technique) to measure mental representations in a shopping activity scheduling task. The presence of an online shopping alternative is varied to investigate the influence of an online alternative on how individuals represent the choice problem.

Mental-model and means-ends-chain theories are discussed. These theories state that individuals when faced with a decision problem construct a mental representation of the choice alternatives by activating relevant parts of their broader causal knowledge that allow them to evaluate consequences regarding their existing needs. Furthermore, these theories emphasise that situational and person dependence of this process can explain observed variability in preferences of travellers.

The results indicate that considerable variation exists between individuals in terms of both the complexity, and the attributes and benefits that are activated in the mental representation of the choice problem. Presence of an online alternative has an influence on the benefits that individuals consider important. The impact is however small.

The chapter provides an overview of recent developments in the study of mental representations underlying choice behaviour. Traditionally, this has been the exclusive domain of qualitative research methods. The techniques reviewed enable larger samples and a formal representation of mental representations. Thus, the approach can help to better understand preference heterogeneity and incorporate this in (transport) choice models.

A comprehensive understanding of the pandemic impact on daily behavioural patterns of travellers’ movement is crucial in creating safe and comfortable living environments. Since the Covid-19 pandemic has affected many countries in world, many countries have taken unusual steps of partial or full lockdowns. People’s normal routine has been disrupted, which has made the transport system indirectly coming to a halt worldwide. Online options have been introduced to maintain the operations for offices, private and government agencies and universities and e-commerce businesses become a spotlight. The study is designed as an effort to understand the travel behaviour of Malaysian women affected by Covid-19 pandemic. An online survey to determine the travel behaviour impact was used as a data collection strategy. Analysis of the collected data reveals significant changes in various aspects of women’s travel behaviour. The result will help to enable the policymaker in strategising the best solutions of travel options, which will also improve the women’s traveller safety for better and equitable transportation.

SNS, namely social networking sites, has become one of the most effective and fast channels of information diffusion and dissemination. As an influential way of online marketing, SNS has been increasingly used by tourism organizations and enterprises to shape their destination image. On the basis of previews literature of destination image and SNS, this paper used the text analysis software ROST Content Mining (ROST CM) System to do a case study of the SNS destination marketing of Singapore on Chinese market. The authors analyze the text related to Singapore tourism on the major SNS in mainland China: Renren, Sina Weibo, and Douban, through word frequency analysis and the social semantic network, to summarize the destination image of Singapore on SNS. The paper also focuses on the difference of image building by official and individual SNS. Results found by this paper can be used by the relevant tourism organizations and enterprises to improve their destination marketing and image building on SNS channels.

With the development of tourism industry, online travel agencies (OTA) have gradually become an important channel for tourism product supplies and sales. Some OTAs provide consumers with a platform for tourism guidance and online travel sharing. They not only satisfy some tourists’ desire to share their experiences but also provide reference for more consumers to choose travel products. This process is the process of value co-creation by customers and online travel companies. This study is conducted under DART theory, a theoretical framework of value co-creation composed of four dimensions, namely dialog, access, risk-assessment, and transparency. Brand equity is divided into four aspects: brand loyalty, brand awareness, customer perceived value, and brand image. This study uses the structural equation model to investigate the impact of customer value co-creation behavior on brand equity of online travel enterprises and interprets the process and mechanism of customer value co-creation behaviors for online travel business brand equity, which provides more efficient strategies and methods for platform interaction and value co-creation.

On 24 January 2020, France informed WHO of three cases of novel coronavirus, all of whom had travelled from Wuhan, China. These three cases were the first confirmed cases in Europe. By 13 March 2020, Europe had become the epicentre of the pandemic with more reported cases and deaths than the rest of the world combined, apart from the People’s Republic of China. Many European countries like Italy, France and Germany took drastic actions and subsequently announced a lockdown, while other countries like the UK, the Netherlands and Sweden were much more hesitant to introduce such far-reaching safety measures. This chapter provides a literature overview of how the variation in such measures in Europe has ultimately resulted in changes in daily activities and travel behaviour during the pandemic. It focusses on five main themes: (i) reduction in mobility and activities, (ii) spatial-temporal adjustments in out-of-home activities in which people still participated, (iii) modal adjustments especially among people who used to travel by public transport before the pandemic, (iv) new out-of-home activities including new outdoor activities and (v) digital adaptations as several out-of-home activities were replaced by digital activities, with special attention to the experience of teleworking.

The following is an introductory profile of the fastest growing firms over the three-year period of the study listed by corporate reputation ranking order. The business activities in which the firms are engaged are outlined to provide background information for the reader.