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The purpose of this study is to investigate through an empirical research the factors that would attract visitors to heritage and cultural sites as museums applied on the Grand Egyptian Museum (GEM). The paper aims to study the impact of the proposed attraction features learning/knowledge, museum facilities, fun/entertainment and socializing and accessibility/location on pre-visit destination image.

The author started by a thorough literature review to arrive to the suggested conceptual model, which is tested by adopting a quantitative approach where data were collected using a self-administered questionnaire from a convenient sample of 300 respondents with 90% response rate and used partial least squares – structure equation modelling using Smart PLS v.3.2.8.

The results show that three of the tested factors were accepted and one was rejected.

Management of GEM, which will be one of the biggest museums world-wide, can make use of the empirical results of this research to enhance their understanding of the factors that impact pre-visit destination image, and thus, most attract visitors to justify the budget set in this huge project and achieve highest visitation and revenue

This research deals with a new museum that has not opened its doors yet and will start functioning in late 2020, and thus, the pre-visit image of the museum is not based on previous experience of visitors but rather on secondary sources as messages sent to visitors based on attraction features, while most previous studies dealt with post-visit image of museums

The purpose of the paper is to explore how the effects of the COVID-19 pandemic will influence the development of revenue management practice in the visitor attractions sector.

This viewpoint paper builds on the argument that tracking previous patterns of behaviour and trends can be used to predict future actions and developments.

The paper identifies how historically the development of revenue management practice has been driven by major external trigger points often linked to sudden increases in competitive pressures, such as the deregulation of the airline industry, and expands on this to argue that the pandemic is one such trigger point that has fundamentally changed the approach to revenue management through a refocusing on key principles to manage demand and that this could potentially accelerate its development within the visitor attraction sector.

Pre-COVID, the practice of revenue management in the visitor attraction sector was underdeveloped, and the opportunities to develop revenue management had not been discussed in the academic literature. This paper suggests that the challenges of the pandemic that forced visitor attractions to focus on visitor demand management can now begin to be extended to incorporate the management of revenue and will consequently be of value for academics and practitioners.

During the 2014 independence referendum in Scotland, there was much debate about the future broader political direction of the country but little discussion about its impact on Scottish tourism. The purpose of this paper is to explore and discuss the impact of the different future political options from a tourism perspective.

From the literature, four main political drivers were identified, and using Scotland as a reference, they were used in discussions with six experts to explore how tourism could develop under different political options. The outcomes from these discussions were combined by the researcher to develop in conjunction with the experts an agreed discussion note. This discussion note formed the basis for the exploration of the impact on tourism under four different future political options.

Of the four political options (devolution limited, devolution plus, devolution max/fiscal autonomy/federation and full independence), it is clear that all options had different positive and negative impacts for tourism. The devolution max option, however, was perceived as most damaging to tourism, because tourism would not be considered a priority, relative to other policy issues. The study concludes with six key lessons that destination management organisations (DMOs) should contemplate when considering the impacts of different political futures.

Being focussed on one country with a strong political party whose raison d'être is independence makes it difficult to extrapolate the results. Nevertheless, given the strong commonality of agreement of the impacts within the experts consulted, this study suggests that DMOs can and should engage in political debates about the future of tourism in their destination.

The 2014 independence referendum in Scotland failed to achieve its primary aim of independence for Scotland, but it did provide space for other political options to be explored. This paper provides a perspective on how tourism could develop under different political options, and so help raise its profile in any future debates, both in Scotland and other destinations.

How prevalent is COVID-19 in Southeast Asia (SEA), and when will the region open its doors to foreign visitors? Following more than a year of global travel restrictions, these are the major concerns of potential visitors. The article examines border relations in SEA in the face of border restrictions during the COVID-19 pandemic. By 2020, the region had been successful in sustaining low COVID-19 rates. This began to change with the emergence of the delta strain, which forced numerous countries in the region to deal with large outbreaks. For this paper, we relied heavily on secondary data, including the most recent relevant literature and credible and reliable publications from reputable organizations, to ensure the data sources' validity, reliability, and quality.

The purpose of this paper is to measure the perception and satisfactions of consumers of the tourism product of Kashmir region and identify potential niche markets that could be used in the development of the destination’s positioning strategy.

The author used a case study methodology. Self-completion questionnaires were distributed to tourists visiting Kashmir region at the peak of the 2018 tourism season. The scales used were adapted from two authoritative sources. Data from 479 completed questionnaires were analysed quantitatively by a variety of statistical techniques, including factor analysis.

Four possible niche markets are identified that can inform the development of the destination’s positioning strategy: nature based, adventure, cultural and culinary. The overall conclusions and discussion of the findings should provide a case-based framework for the practical planning and implementation of positioning strategies in the tourism context.

The time frame of the study was five summer months in one year, and only actual visitors completed the questionnaire. The study did not assess their evaluation of the quality of the services provided and consumed.

The overall conclusions and discussion of the findings should provide a case-based framework for the practical planning and implementation of positioning strategies in the tourism context.

This study aims to predict the effect of cultural distance, perceived risk and electronic word of mouth (eWOM) on higher education institutes' students' destination image. In addition, it examines the mediating role of destination image in relation to students' travel intentions.

An online survey was employed to collect data from 200 graduate and postgraduate students. The partial least squares was employed to analyse the hypothesised relationships.

The results of this study found support for the positive effect of cultural distance and eWOM on destination image. Additionally, the mediating effect of destination image was also supported.

This research confirms the vital role of destination image as an antecedent of students' future intention to visit the destination. Moreover, this study contributes to marketing theory by predicting the critical drivers of higher education students' destination image and discussing their applications in the education sector.

The purpose of this paper is to identify the best hostel practices and trends, and to evaluate and discuss how they are keeping up with the present demand created by the Millennials market.

Methodological approach is based on two complementary qualitative methods: ethnographic participant observation and netnography. Portuguese hostels are the target of this study, as they are considered some of the best in the world. First, a fieldwork was conducted in three top-rated hostels in Lisbon, aiming to immerse in hostel’s environment. Then, 300 online reviews were analysed to identify what customers value the most in those services. Data interpretation was done through a content analysis crossing supply-demand perspectives.

Results indicate that, while staying in a hostel, the Millennials want to: meet people, engage in activities and events, have local experiences, feel comfortable/at home, get good value for money and enjoy the convenience. In return, hostels play an important role in hospitality industry by pleasing the Millennials, by offering: central location, an interactive atmosphere, functional facilities, well-planned design and decoration, a set of activities and events and personal treatment.

This paper is one of the few to describe Millennials’ travel behaviour towards hostels’ services.

This study aims to explore the connection between demographic traits and the choice of attraction patterns among international repeat tourists.

The study employed a questionnaire survey to collect data from 1550 international repeat tourists who visited Tanzania between November 2022 and July 2023. Convenient sampling was employed as tourists were selected from the three international airports of Tanzania, namely Kilimanjaro International Airport, Julius Nyerere International Airport, and Abeid Aman Karume International Airport. A multinomial logistic regression model was used to examine the impact of socio-demographic characteristics on the selection of attraction patterns among international repeat tourists.

The study revealed that demographic factors, including age, marital status, income level, occupation, and education level, exhibit statistically significant correlations with preferences for distinct attraction patterns. This significance was established through a p-value of less than 0.05 for all the aforementioned variables.

This study is primarily focused on international repeat tourists, thereby limiting insights into the preferences of domestic tourists. To better inform strategies aimed at attracting a larger domestic tourist base, future research may prioritize the investigation of choice of attractions patterns among domestic tourists in relation to their demographic characteristics.

This study contributes to the nuanced understanding of international tourist behavior by unraveling the extent to which demographic traits impact tourists’ choices of attraction patterns, thereby providing insights crucial for effective marketing strategies, improved visitor experiences, and sustainable tourism development strategies.

This study intend to investigate a theoretical model looking at how particular tourist emotions, such as “joy,” “love,” and “positive surprise,” might predict their behavior by looking at how satisfied they are with their whole experience when visiting spas, and to examine the relationship of emotional experience, destination image, satisfaction and intention to revisit for spa tourism.

A sample of 345 individuals who traveled to Alleppey as domestic tourists participated in the research study. A non-probability (purposive) sampling method in this study. The structural model was analyzed using Structural Equation modeling (SEM), and the path coefficients were examined to test the hypotheses.

The results supported the hypotheses, indicating that specific emotions, image of the destination, and satisfaction significantly impacted tourists' intentions to revisit Alleppey as a spa tourism destination. This study demonstrated that “emotions of joy, love, and positive surprise” have a considerable influence on the image of the destination and satisfaction. The findings reveal a substantial correlation between satisfaction and behavioral intention (“Intention to revisit”). The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location.

The research suggests that a higher degree of satisfaction would encourage visitors to revisit the location. This research offers vital information for developing, planning, and putting into practice tourism policies in the spa tourism sector. This article focuses on domestic travelers who travel to Alleppey, so the conclusions may not be relevant to research utilizing foreign tourists.

According to the literature study, and to the authors` knowledge, only limited number of studies that look at spa tourism from a wellness perspective. Additionally, Alleppey is used in the study as the study’s setting, providing insight into the visitor experiences of this expanding spa tourism business. This study gives understanding about how emotional experience predicts behavioral intentions.

This research delves into the realm of Business Model Innovation (BMI), integrating it with the human-centric, sustainable, and resilient principles of Industry 5.0, proposing a new theoretical framework.

An abductive approach has been chosen to expand existing knowledge developing new ideas based on emerging phenomena. Data were gathered via semi-structured interviews with directors, managers and curators of public institutions in Italy, Switzerland, Germany and Spain encompassing Galleries, Libraries, Archives, and Museums (GLAM). These data were subsequently subjected to thematic analysis.

The findings indicate that the main enablers for Business Model Innovation (BMI) in combination with Industry 5.0 encompassed stakeholder, customer and organizational engagement, collaborative environment, knowledge and innovation management, and sustainability. These drivers were effectively leveraged through three pivotal facilitators-inhibitors: technology, resources, and leadership.

The principal constraints are rooted in the narrow contextual focus and the limited participants number. However, upcoming research efforts may broaden the horizons of this multifaceted and extensive investigation.

This study is groundbreaking as it fills a significant gap in the existing literature by integrating Business Model Innovation (BMI) with the Industry 5.0 paradigm, a novel approach that has not been explored previously. Additionally, the inclusion of GLAM institutions in this research adds a unique dimension, as they have been largely overlooked in both research domains.