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Given the importance of senior volunteers in an ageing society, this study aims to deepen the understanding of how seniors create well-being by volunteering as service providers in terms of motivations for volunteer participation and value co-creation/co-destruction in service provision.

Focussing on senior volunteers acting as service providers in the tourism sector, this study conducted a programme of qualitative research with 15 senior volunteer tour guides in Japan and the UK through the purposive sampling method. The data were analysed by the Gioia method to identify data structure and create a conceptual model.

Seniors start with a mixture of different motivations, not only symbolic and health ones. However, after a certain period of training, they become more aware of their volunteer role as service providers and may strive to maximise the benefits to their clients. The overall performance of such a role supports their well-being. They may also experience episodes of value co-destruction; such negative experiences may be overcome by building good relationships with their colleagues in the organisation.

The paper identifies organisational support ideas for senior service provider volunteers aimed at overcoming negative experiences and achieving well-being, in terms of training and improved communication between organisation members.

This study contributes to the transformative service research literature by constructing a model to showcase the relationship amongst expectations of volunteering as a service provider, service delivery and well-being creation. This paper also discusses the positive and negative effects of volunteer service delivery on senior volunteers' well-being.

Zoos are important urban tourism attractions. The challenge for zoos is finding a balance between attracting visitors and enhancing education and conservation management. This research contributes to a greater understanding of the conservation intentions of zoo visitors and how zoos can emphasise conservation management principles sustainably. This study aims to identify the variables that encourage conservation intentions among visitors to a South African zoo.

A destination-based survey was conducted in 2019 at the Johannesburg Zoo, and 445 questionnaires were administered through convenience sampling.

Exploratory factor analyses identified visitors’ conservation awareness because of zoos (pre-conscious, conscious and unconscious), behavioural intentions (advocating and supporting), motives (engagement, edutainment and escapism) and satisfaction (interaction and facility quality, and service and interpretation quality). The behavioural intentions were the dependent variables. Advocating conservation intentions (ACI) is an active role where zoo visitors feel a strong responsibility towards conservation and encourage others to the conservation cause. Supporting conservation intentions (SCI) relates more to loyalty towards visiting the zoo and subsequently supporting conservation. Stepwise linear regression analyses revealed that enhancing ACI relies on SCI, edutainment, conscious awareness, service and interpretation quality and total spending. However, enhancing SCI relies on ACI, interaction and facility quality and the motive, escapism, while engagement revealed a negative relationship.

The results show that zoos can encourage SCI to ACI by using interactive and entertaining interpretations to teach visitors about the zoo’s mandate and the importance of conservation while balancing their need to escape.

This study proposes a literature review and, based on the findings, the authors develop a conceptual framework, attempting to explain how technology may influence visitor behavior and eventually trade show performance.

The present research explores the role of visitors in the trade show context. The analysis specifically focuses on the variables that influence visitors’ participation at business-to-business trade shows and how their satisfaction and perception can be related to exhibition performance. The authors also take into consideration technological trends that prior to COVID-19 pandemics were slowly emerging in the trade show industry.

The findings highlight a continuity between pre-, at and postexhibition phases. Visitors’ behavior represents a signal of how a trade show is perceived as postexhibition purchases and next visit emerge as signals of an exhibition evaluation in relation to visitors’ perception. Besides being urgent tools for the continuity of the sector due to the pandemics, emerging technological trends can be key elements in understanding visitors’ behavior and in boosting their interest and loyalty toward trade shows.

The paper proposes a conceptual model including top notch and innovative technological trends to improve the understandment of visitors’ behavior. Both practitioners in companies and academics might find the study useful, given the digital uplift generated by the pandemics.

This study aims to perform a benefit segmentation and then a classification of visitors that travel to the Rocha Department in Uruguay from the capital city of Montevideo during the summer months.

A convenience sample was obtained with an online survey. A total of 290 cases were usable for subsequent data analysis. The following statistical techniques were used: hierarchical cluster analysis, K-means cluster analysis, machine learning, support vector machines, random forest and logistic regression.

Visitors that travel to the Rocha Department from Montevideo can be classified into four distinct clusters. Clusters are labelled as “entertainment seekers”, “Rocha followers”, “relax and activities seekers” and “active tourists”. The support vector machine model achieved the best classification results.

Implications for destination marketers who cater to young visitors are discussed. Destination marketers should determine an optimal level of resource allocation and destination management activities that compare both present costs and discounted potential future income of the different target markets. Surveying non-residents was not possible. Future work should sample tourists from abroad.

The combination of market segmentation of Rocha Department’s visitors from the city of Montevideo and classification of sampled individuals training various machine learning classifiers would allow Rocha’s destination marketers determine the belonging of an unsampled individual into one of the already obtained four clusters, enhancing marketing promotion for targeted offers.

This paper presents a study of a system that allows remote and onsite visitors to share a museum visit together in real time. The remote visitors are older adults at a care home and their relatives and/or friends who are at the museum. The museum visits are interactive. Meaningful stories accompany the museum exhibits, and there’s an audio channel between onsite and remote visitors. The aim of the study is to determine whether the remote visitors, i.e. older adults are able to use such technology and to study the mediated sense of spatial presence, social closeness, engagement and enjoyment in the visit. This study discusses the relationship between these aspects and factors leading to a better remote experience for older adults.

This study has 14 onsite and 12 remote older adult participants. Standardized questionnaires measured the mediated sense of spatial presence, the experienced social closeness and the level of participants' engagement and enjoyment in the visit of the older adult participants and traced onsite visitors in their position during the visit. The audio logs were subjected to thematic content analysis.

The results show that older adults enjoy and engage in remote visits, and that there is a positive correlation between enjoyment, engagement and social closeness. The findings argue that both the audio channel and the interactive story are important for creating an affective virtual experience: the audio channel increases the sense of closeness, whereas the interactive story makes the visit more engaging, providing structure, direction and purpose to the visit.

This work advances the state of art in the domain of technologies for older adults and addresses the needs of this population to stay in contact with both people and places.

This paper aims to present the findings from a European study on the digital skills gaps in tourism and hospitality companies.

Mixed methods research was adopted. The sample includes 1,668 respondents (1,404 survey respondents and 264 interviewees) in 5 tourism sectors (accommodation establishments, tour operators and travel agents, food and beverage, visitor attractions and destination management organisations) in 8 European countries (UK, Italy, Ireland, Spain, Hungary, Germany, the Netherlands and Bulgaria).

The most important future digital skills include online marketing and communication skills, social media skills, MS Office skills, operating systems use skills and skills to monitor online reviews. The largest gaps between the current and the future skill levels were identified for artificial intelligence and robotics skills and augmented reality and virtual reality skills, but these skills, together with computer programming skills, were considered also as the least important digital skills. Three clusters were identified on the basis of their reported gaps between the current level and the future needs of digital skills. The country of registration, sector and size shape respondents’ answers regarding the current and future skills levels and the skills gap between them.

The paper discusses the digital skills gap of tourism and hospitality employees and identifies the most important digital skills they would need in the future.

This study aims to better understand tourists’ revisit intention from their perspectives of past and expected experience and to investigate whether the formation of revisit intention differs between tourists from different nationalities.

The sample consisted of 250 Indonesian tourists who have visited Australia and 275 Australian tourists who have visited Indonesia. The data were analysed by conducting structural equation modelling and multi-group analysis with group comparisons.

Indonesian tourists’ intention to revisit Australia was influenced by past feeling experience and expected experience, while Australian tourists’ intention to revisit Indonesia was influenced by past feeling and relating experiences and expected experience. Both samples differ significantly in terms of relations between experiences and revisit intention. The relationship between past thinking experience and revisit intention was positive for Indonesians but negative for Australians. The relationship between past relating and expected experience was positive for Australians but negative for Indonesians. In addition, the influence of expected experience on revisit intention was stronger for Australian than Indonesian tourists.

To the best of the authors’ knowledge, this study, for the first time, enriches tourism literature in understanding revisit intention by investigating revisit intention in relation to both past and expected experiences, along with examining nationality differences in the revisit intention formation.