Search results

The role of firm attributes as a source of competitive advantage has been discussed previously in the tourism marketing strategy field. Benchmarking, a recognized learning model, is recommended as a tool to identify and improve the competitiveness of a firm. The present study employs the importance–performance analysis (IPA) to benchmark five nature- and culture-based attractions in Northern Norway. Altogether, 701 respondents participated in the on-site survey, i.e., during their vacation experiences. The present study reveals several interesting and useful managerial insights and implications for the tourist attraction industry in general as well as for the individual tourist attraction firm measured. Consequently, this study contributes to management by integrating theory and empirical data to investigate whether benchmarking, as a company learning tool, may lead to improved performance. Based on the study results, the present work suggests strategies and potential improvements for the respective tourist attractions.

This paper aims to analyse online reviews to explore the experiences of tourists related to cultural attractions. Furthermore, the study identifies similarities and differences between cultural attractions and identifies tourists’ preferences.

Content analysis and principal component analysis are applied to 12.592 online reviews, in Italian, posted on TripAdvisor by tourists who visited 58 cultural attractions of Naples (Italy) between 2011 and 2014.

Findings reveal five critical components of tourists’ experience related to cultural attractions: wonder, authenticity, relaxation, discovery and knowledge. Findings show that tourists can interpret cultural attractions in different ways.

This study makes advancements on the relationships between tourists’ experience and cultural attractions. Research limitations are related to the geographical context and to the database, which presents a strong standardisation of evaluations, almost never negative. Furthermore, the analysis is limited to online reviews written in Italian language. Future studies will be dedicated to explore reviews in other languages and on other cultural destinations.

The study draws managerial implications at local and general level. Locally, findings provide suggestions and practical implications to support the tourism policies and marketing of Naples. At general level, the paper provides implications for destination manager organisations and policy makers to strengthen the attractiveness of cultural attractions, develop destination marketing strategies and offer more satisfying cultural experiences.

This is one of the first studies that uses online reviews to explore the experiences of tourists who visit cultural attractions.

The purpose of this study is to provide context to the evolution of tourist attractions in Dubai, retrospectively learn from the experiences of the Milan and Shanghai Expos and to highlight the tourist attractions of Dubai Expo 2020. In so doing, the paper also seeks to understand how attractions play a role in shaping the growth of the tourism and hospitality sectors in Dubai.

Data for this paper were gathered from primary and secondary sources. Informal discussions with officials of Expo 2020 generally and tourism stakeholders, in particular, who were willing to participate in this study, form the core of the primary data reflected in this paper. These discussions, which span a period of four weeks, were transcribed for later study and analysis.

First, the tourism industry, the bedrock of Dubai’s economy, has witnessed remarkable growth during the period 1990-2015 and beyond because of its rich tourism infrastructure comprising hotels, tourism activities and tourist attractions. Second, it is important that Dubai Expo draws on the experiences and expectations of prior events and can apply lessons learnt from the Milan and Shanghai Expo events. Third, that Dubai Expo 2020 can enable Dubai to build on its established image for excellent infrastructure, attractions, hotels, affordable amenities, easy accessibility and highly-developed air and road transport systems.

Even if lessons learnt from the Milan and Shanghai Expo are taken into account, they may not account for unforeseen circumstances and sources of failure – though they provide a guide in relation to the conduct of a mega event.

Dubai Expo 2020 can enable Dubai to build on its established and broadening global appeal.

Employment prospects will be enhanced by Expo 2020 that will project an image of Dubai as a world tourist destination to a far greater extent than it has done so to date. Social changes may also occur because of cultural exchanges during the Expo 2020 period.

The paper discusses how strategic planning for new attractions combined with the existing attractions will help spread awareness of Expo 2020. The observations made from this study can be used by other nations hosting similar events in similar geographical areas, to help prepare and draw on prior experience and lessons learnt.

Natural and cultural tourism are important motivators for international tourism. Spain has impressive tourist attractions that are outstanding on the natural and cultural tourism dimensions. The purpose of this paper is to identify traits of the most attractive destinations in Spain and to understand the relative importance of natural, cultural, and dual (natural and cultural) attractions to target consumers.

The authors compare the level of tourism in the 17 major regions of Spain and identify the key natural, cultural, and dual attractions using a two-step cluster analysis to ascertain the relative importance of the three types of attractions.

The findings of the cluster analysis suggest that natural attractions had the highest importance, followed by dual attractions, with cultural attractions having the lowest importance in affecting the level of tourism in a region. The study identified four categories of regions resulting from “high vs low” total number of attractions by “high vs low” levels of tourism (operationalized via the number of tourist-nights). The regions with high levels of tourism were either located in the bodies of water (a group of islands) or on ocean/sea(s) surrounding Spain. The study suggests placing greater emphasis on promoting cultural attractions in Spain.

The findings suggest that there is a need to put more emphasis on promoting the cultural attractions in Spain. Spain is a diverse country with huge potential for tourism from people all over the world, due to its diverse geography and rich history.

To the best of the authors’ knowledge, this is the first study that analyzes 17 regions of Spain in relation to their tourism characteristics, identifying attractions that are not sufficiently leveraged, and suggesting strategies for identifying opportunities for the tourism industry in Spain.

Manufacturers of smartphone devices are increasingly utilising a diverse range of sensors. This innovation has enabled developers to accurately determine a user’s current context. One area that has been significantly enhanced by the increased use of context in mobile applications is tourism. Traditionally, tour guide applications rely heavily on location and essentially ignore other types of context. This has led to problems of inappropriate suggestions and tourists experiencing information overload. These problems can be mitigated if appropriate personalisation and content filtering is performed. This research proposes an intelligent context-aware recommender system that aims to minimise the highlighted problems.

Intelligent reasoning was performed to determine the weight or importance of different types of environmental and temporal context. Environmental context such as the weather outside can have an impact on the suitability of tourist attractions. Temporal context can be the time of day or season; this is particularly important in tourism as it is largely a seasonal activity. Social context such as social media can potentially provide an indication of the “mood” of an attraction. These types of contexts are combined with location data and the context of the user to provide a more effective recommendation to tourists. The evaluation of the system is a user study that utilised both qualitative and quantitative methods, involving 40 participants of differing gender, age group, number of children and marital status.

This study revealed that the participants selected the context-based recommendation at a significantly higher level than either location-based recommendation or random recommendation. It was clear from analysing the questionnaire results that location is not the only influencing factor when deciding on a tourist attraction to visit.

To effectively determine the success of the recommender system, various combinations of contextual conditions were simulated. Simulating contexts provided the ability to randomly assign different contextual conditions to ensure an effective recommendation under all circumstances. This is not a reflection of the “real world”, because in a “real world” field study the majority of the contextual conditions will be similar. For example, if a tourist visited numerous attractions in one day, then it is likely that the weather conditions would be the same for the majority of the day, especially in the summer season.

Utilising this type of recommender system would allow the tourists to “go their own way” rather than following a prescribed route. By using this system, tourists can co-create their own experience using both social media and mobile technology. This increases the need to retain user preferences and have it available for multiple destinations. The application will be able to learn further through multiple trips, and as a result, the personalisation aspect will be incrementally refined over time. This extensible aspect is increasingly important as personalisation is gradually more effective as more data is collated.

This paper contributes to the body of knowledge that currently exists regarding the study of utilising contextual conditions in mobile recommender systems. The novelty of the system proposed by this research is the combination of various types of temporal, environmental and personal context data to inform a recommendation in an extensible tourism application. Also, performing sentiment analysis on social media data has not previously been integrated into a tourist recommender system. The evaluation concludes that this research provides clear evidence for the benefits of combining social media data with environmental and temporal context to provide an effective recommendation.

This study aims to examine a creative attraction loyalty model which includes experience quality, satisfaction and motivation and to assess the model’s applicability in terms of customer attraction, namely, tourists and residents.

The data collection was conducted at four culture-based attractions in Bandung, Indonesia. Self-administrated questionnaires were distributed to visitors after they experienced the attraction. In total, 415 useful questionnaires were collected. The hypotheses developed were examined using partial least square structural equation modelling.

This study reveals a significant effect of experience quality on both satisfaction and attraction loyalty. Moreover, the effect of motivations on satisfaction and loyalty is partially supported, as only the pull motivation factor has a significant effect on satisfaction. Finally, this study reveals that the proposed attraction loyalty model is insignificant in terms of difference between tourists and residents.

Past studies have examined many of the drivers of loyalty both independently and separately. This study examines simultaneously three important loyalty drivers: experience quality, satisfaction and motivation in the context of a creative tourism attraction. To create visitor loyalty, this study suggests that attraction managers need to deliver high experience quality and develop customer pulling strategies through promotion efforts.

The present work assesses destination and service quality attributes, in terms of exploring the stronger and weaker points within these entities. In addition, it explores the relative effect of holistic experiences of destinations and the service-specific attributes on tourists’ overall satisfaction with destinations. Building on the perception, performance, and service quality literature a survey is carried out at 5 different tourist attractions among 701 tourists from over 15 countries worldwide visiting Northern Norway. The results divulge that many destination attributes are important; however, tourists find that the destination performs correspondingly with the perceived importance of destinations. The service quality attributes are also important, but reveal a perceptual gap between importance and performance. The study finds that Northern Norway as a tourist destination should concentrate on “uniqueness” and “novelty” to enhance tourist satisfaction. Service providers are advised to keep up the good work on “giving a good impression and a nice welcome” to enhance tourist satisfaction.

The purpose of this study is to offer advice to the Macao Special Administrative Region (SAR) Government regarding the tourist and traffic flow concerning how these contribute to congestion in World Heritage Site (WHS) elements and make recommendations regarding the management of tourist flows and traffic congestion.

The research undertaken in this study is partially longitudinal. The case study is also partially ethnographic in that tourist behaviour at key sites has been observed. Concerning the specific methodology applied, data collection techniques are chosen to provide a multiplicity of data sources: on-site observation and semi-structured telephone interviews.

The study is found that Macao was at a crossroad. All stakeholders needed to take some responsibility for implementing actions recommended that would ensure that Macao SAR’s World Heritage assets would be used responsibly for future, as well as for present generations.

The study has shown that better and long-term understanding of congestion is necessary to inform better visitor management decision-making, enhance tourist experience and discover the factors that influence visitor satisfaction. It is also needed to reveal aspects of stakeholder readiness and barriers to action.

Industrial tourism involves visits by tourists to operational industrial sites where the core activity of the site is non-tourism oriented. Although industrial tourism exists around the world, and is expanding rapidly, earlier terms used to describe the industrial tourism phenomenon reflect a narrow focus on particular sectors, such as farm tourism or factory tourism, or an impression of marginality, such as sideline tourism. This chapter proposes an integrated conceptualization of industrial tourism to embrace the production of virtually all goods and/or services, and indicates the ramifications for the management of industrial tourism attractions of the concurrent management of non-tourism enterprises.