Search

The current trend in tourism is no longer one of relaxation in the two important seasons but of experiential tourism, developing of new types of tourism, each country identifying (but especially reinventing) its own potential and promoting it below the form of innovative tourist packages and/or products and/or services. Innovation as a concept is setting up the scene for economic growth and is an important tool for economic progress and competitiveness. The aim of this research is to make a bibliometric analysis to find out the most important aspects of innovation linked to tourism as sustainable solutions for tourism in emerging economies. As methods for bibliometric analysis the VOSviewer 1.6.18 software was used on the Web of Science papers to find out the research concepts linked to innovation and tourism. Also, we applied Google Trends search for some of the newest types of tourism to find out the interest of tourists over the last two decades (2010 – 2023) for innovative products from tourism industry (such as: babymoon, adventure, medical, dental, hunting, ecotourism, heritage, museum, etc.). The results emphasis the relation between innovation, tourism, information technology (internet, smart tourism, innovative technology), stakeholders (governments, organizations, municipalities, communities), tourism experience, tourism destination, tourism services, product innovation, competitiveness advantages, economic development, performance, cultural heritage, rural area, ecotourism.

This research aimed to study the determinants of tourism demand in Tunisia from 1995 to 2019 with four independent variables: gross domestic product, consumer price index, the real exchange rate, and air transport passengers carried. The research employed the Unit root test, Co-integration test, and Vector Error Correction model (VECM) to examine the variables’ short- and long-run relationship dynamics. The results show that co-integrating relations exist among the variables; all independent variables negatively impact tourism demand except Air transport. Depending on the results obtained, policymakers should be aware of the negative effect of the country’s political instability on the extent of external tourism demand. In this sense, the government must restore political stability to encourage tourists to visit Tunisia. Future studies should consider factors such as the economy’s trade openness and oil prices.

Coastal tourism is deep into a dichotomy between its potential to provide a wide range of social and natural benefits, and its traditional link to mass models, provoking a profound debate around the generation of negative externalities. This study examines the role of innovation and strategic corporate social responsibility orientation in the relationship between CSR and corporate performance to determine the mechanisms that underlie this main relationship. To this end, a sample of 202 hotels on the Spanish coast is analysed by applying the Partial Least Square Methodology. Useful results are derived from the empirical testing of the theoretical model, such as the existence of a positive direct effect between CSR and hotel performance. Likewise, we shed light on the mediating role of innovation and the moderating effect of a strategic CSR orientation in the main relationship, providing valid solutions for both academics and managers of coastal hotels, in terms of adopting CSR practices and promoting its integration into the core business of the hotel, and further developing innovations that will boost the benefits derived from their responsible practices, as well as their strengths to overcome the barriers traditionally faced when carrying out CSR strategies.

This work explores the determinants of decisions by former apprentices to present product offerings similar to those of their masters. Using a quantitative study of 194 international chefs, this article argues that there is a negative association between the degree to which a master rebels against the rules and conventions of a field and master-apprentice similarity. It also shows that master status and a creative professional's career stage during an apprenticeship moderate the association between master rebellion and master-apprentice similarity. The work concludes by outlining some implications for the career development and creativity of creative professionals and the emergence of new styles. [ABSTRACT FROM AUTHOR]

The development and expansion of wineries in Appalachian states in the United States over the past 20 years has received attention, while the study of non-wine product consumption in wineries has been very limited. Wineries increasingly include these non-wine products as complementary products in their marketing portfolio. This study analyzes the determinants of wine and non-wine spending among winery visitors in selected Northern Appalachian states, including Pennsylvania, Ohio, Kentucky, and Tennessee. We develop a market segmentation model and a random utility theory with an interval regression model. Results from 1,609 participants show that wine knowledge has a positive effect on local wine spending, and spending on non-wine products should not be underestimated for its overall contribution to the winery business. Our results suggest that wineries have the potential to boost store sales associated with non-wine products. Diversifying the product lines in wineries to include more non-wine products would be a useful marketing strategy. [ABSTRACT FROM AUTHOR]

This study examines the changes in the persistence and seasonality inherent in the Croatian tourism sector in light of the onset of the COVID-19 pandemic. First, we differentiate between the changes in the persistence and seasonal behavior with respect to domestic and foreign tourist arrivals and overnight stays. Second, with nearly 90% of the Croatian tourism sector tied to the seven counties along the Adriatic coast we investigate the differential regional impact on persistence and seasonal behavior. Our results indicate the disruption was much more prominent for foreign tourist arrivals and overnight stays relative to domestic tourist arrivals and overnight stays with respect to the increased persistence associated with the onset of the pandemic along with the seasonal autoregressive component reduced considerably. [ABSTRACT FROM AUTHOR]

This paper analyses the effect of the different levels of hosts' professionalism (single and multi-unit host) and accommodation types on the time-varying technical efficiency of P2P accommodation. To do this, we employ a panel data stochastic frontier model which disentangles time-varying efficiency from unobserved heterogeneity. We use a database from Airbnb listings for the Canary Islands (Spain) from January 2019 to September 2020, including the lockdown period due to the Covid-19 pandemic. The results indicate that the lowest priced lodgings are the most efficient accommodation type and that properties managed by single-unit hosts are more efficient than those managed by multi-unit hosts. These results are theoretically founded on the existence of positive agglomeration effects in the hospitality industry. [ABSTRACT FROM AUTHOR]

The purpose of this study is to look into the capability of cryptocurrencies as a viable alternative to traditional payment methods in the travel and tourism industry. Given the increasing popularity of digital currencies, the tourism industry must consider alternative payment methods. The study's goal is to determine whether cryptocurrencies can be a safe and practical payment option for the travel and tourism industry. The benefits and drawbacks of cryptocurrency adoption in the travel and tourism industry were examined using a case study method. The study focused on customer preferences, security, and regulatory compliance. In-depth research was conducted on a select group of companies that have already implemented cryptocurrency as a payment option, as well as on interviews of business leaders. According to the study's findings, there is a high demand for the adoption of cryptocurrencies in the travel and tourism sector. Customers seeking secure and convenient payment methods may benefit from the use of cryptocurrencies. The study emphasizes the importance of addressing security concerns and regulatory compliance, as these are significant barriers to cryptocurrency adoption in the travel industry. The study provides a road map for cryptocurrency adoption in the travel industry, recommending that the industry focus on developing secure and user-friendly cryptocurrency payment methods, as well as actively collaborate with regulatory bodies to ensure compliance. This case study offers valuable insights to industry participants on how to effectively embrace and use cryptocurrencies in day-to-day business operations. Finally, this study offers a thorough examination of the potential of cryptocurrencies as a new form of payment in the travel and tourism industry. The findings of the study provide a clear understanding of the benefits and drawbacks of using cryptocurrencies, as well as valuable insights for industry participants on how to effectively adopt and use cryptocurrencies in their operations.

Aim/purpose – Cultural differences play an influential role in driving tourism development and varying outcomes of technology acceptance. The impact of ChatGPT on tourism is yet to be explored. Therefore, this study discussed how ChatGPT may influence tourism development and management in different cultural contexts.

The COVID-19 virus pandemic has influenced tourism policy makers to change their decisions and management methods due to the new challenging situation. The inability to establish normal tourism business, due to difficult mobility of tourists and unfavorable epidemiological situation, has led to finding various innovative solutions that could help improve results in tourism. In addition to improve the current situation, the innovations introduced during the pandemic were aimed at bringing certain changes in the coming period, when the tourism industry is not burdened by the pandemic, which will accelerate the growth of the tourism economy. The main goal of this paper is to point out certain models of implementation of innovative solutions, which could affect the more dynamic development of tourism in Montenegro. The subject of research in this paper are innovations in tourism and their application with special reference to Montenegro. Montenegro has not yet fully recognized the importance of introducing innovations in tourism, so the next period should be dedicated to their implementation. The tourist offer of Montenegro should be enriched by the introduction of new specific forms of tourism, in order to adequately meet the demands of the main emitting markets. In addition to the innovative tourist offer, solutions should be sought in the integration of digital and virtual technologies into marketing functions, because the modern tourist business is increasingly relying on these technologies. Research has shown that it is necessary to work on creating new strategies and plans that will more studiously deal with this issue.

The analysis of outcome uncertainty (OU) and competitive balance (CB) has been of overwhelming importance in sports economics. Surprisingly, there is little work on the impact of the structure of play on either OU or CB. Balanced and unbalanced schedules, and division play have been used to analyze biasedness of CB measures. And the impact of the introduction of unbalanced schedules on OU has been analyzed. But the impact of the introduction of both unbalanced schedules and division play on OU has not been analyzed. In this paper, we assess the impacts on OU, for given choices of CB (OU/CB) of moving to division play. This includes the impact of schedule imbalance, division strength, the number of teams, and the number of divisions. We also obtain estimates of their marginal impacts on OU/CB via numerical analysis and regression. The results are compared to OU/CB from unbiased estimators, for the case of the introduction of division play in Major League Baseball. The results suggest that the approach is useful and there are policy implications. [ABSTRACT FROM AUTHOR]

The team totals and point spread betting lines jointly predict team scores in college football games. The gambling market's score predictions are shown to be biased due to censoring at zero points. This presents arbitrage opportunities for gamblers who place wagers on the team totals line in cases for which expected bias is high. A naïve betting strategy that exploits this bias using only information contained within the two betting lines themselves yields a win percentage of over 55 percent over the past two decades. This significantly exceeds the typical transaction costs associated with wagers, indicating the market is semi-strong inefficient. [ABSTRACT FROM AUTHOR]

This study presents the empirical findings on cross-sectional dispersion and time-series volatility of TFPQ and TFPR using high-frequency establishment-level panel data from three narrowly defined service industries. The within-industry dispersion of TFPQ is not larger than that of TFPR, and this finding differs from past studies on the manufacturing sector. Productivity dispersion is smaller when aggregated industry-level productivity is higher, and vice versa. Service producers with highly volatile productivity are less productive in both TFPQ and TFPR. [ABSTRACT FROM AUTHOR]

Subject and purpose of work: Substantiation of the principles of formation of the pricing policy of hotel enterprises while considering the segmentation of the client base, existing patterns and pricing strategies according to revenue management system.