Improving the competitiveness of tourism destinations is crucial for driving local economies and achieving income growth. In light of this evidence, numerous government departments strive to assess specific factors that impact the competitiveness of tourism destinations, enabling them to issue appropriate new tourism policies that promote more effective forms of tourism business. Therefore, the primary objective of this paper is to investigate how various elements such as tourism resources, tourism support, tourism management, location conditions, and tourism demand influence regional competitiveness in the Northern Bay region of Guangxi Province in China. To accomplish this goal, an online survey was conducted to collect data from 420 visitors who had experienced North Gulf Tourism; yielding an impressive response rate of 95 percent. The findings reveal that all aforementioned factors—namely: Tourism resources, tourism support, tourism management, location conditions and tourist demand—significantly impact destination competitiveness. Notably though, it was found that among these factors influencing destination competitiveness; it is primarily determined by effective local-level management (β = 0.345). Following closely behind are tourist demand (β = 0.133) as the second most influential factor affecting destination competitiveness; followed by location conditions (β = 0.116) ranking third; then comes tourist support (β = 0.03) as fourth in line impacting destination competitiveness; finally with least impact being exerted by available tourist resources (β = 0.016). Consequently, highlighting that regional competitiveness within Guangxi’s Northern Bay area predominantly hinges on efficient local-level management practices thus strongly recommending relevant authorities formulate novel work policies aimed at enhancing levels of local-level competitive advantage within the realm of regional touristic offerings.

The aim of this study is to determine how bank diversification affects bank stability. To this end, it examines data of 136 commercial banks operating in 14 MENA (Middle East and North Africa) countries observed from 2005 to 2021, using the System Generalized Method of Moments (GMM) panel data regression analysis. The selected countries are Bahrain, Egypt, Jordan, Kuwait, Oman, Qatar, Saudi Arabia, Morocco, Lebanon, Algeria, Tunisia, Iran, Iraq, and the United Arab Emirates. The main results point to the enhancing effect of income diversification on bank stability. Our results underline the “Bright Side” of banking income diversification in the MENA region. However, this stabilizing income diversification effect is not always maintainable. The results also point to a non-linear relationship between interest/non-interest income and financial stability, suggesting that higher diversification reduces risk. We use a dynamic panel threshold model to determine income diversification thresholds that stabilize banks in the MENA region.

This study aims to examine the impact of open innovation and disruptive innovation on the financial performance of SMEs in the tourism sector in Tanjungpinang City, Indonesia. A quantitative research method was employed, utilizing a sample of 273 SMEs in the tourism sector. Data were collected through surveys and analyzed using regression and ANOVA techniques to understand the relationships between innovation, digitalization, and financial performance. The analysis revealed that both open and disruptive innovation significantly influence the financial performance of SMEs. The study found that innovation and digitalization explain approximately 79.6% of the financial performance variance in the tourism sector. The findings suggest that SMEs that adopt innovative practices and digitalization are more likely to achieve better financial outcomes, such as increased profitability and market share. Open and disruptive innovations are critical drivers of financial success for SMEs in the tourism sector. SMEs should focus on leveraging internal and external knowledge and adapting to technological changes to enhance their competitive advantage. Policymakers should create supportive environments that foster innovation and digitalization among SMEs. This could include providing access to technological resources, training programs, and incentives for innovative practices.

This study aims at predicting the interrelationship between among Chat GPT with its six dimensions, tourist’s satisfaction and Chat GPT usage intention as perceived by tourist, and as well as to examine the moderating effect of traditional tour operator services on the relationships between all the variables. Data were collected from 624 tourists. The study hypotheses were tested and the direct and indirect effects between variables were examined using the PLS-SEM. The SEM results showed that Chat GPT’s six dimensions have a positive and significant direct impact on tourist’s satisfaction, and emphasis the moderating role of Traditional Tour Operator Services “TTOS” on the relationship between GPT’s six dimensions and “TS”, and on the relationship between ‘TS” and Chat GPT usage intention. These findings yield valuable insights for everyone interested in the use of IT in the tourism industry, and provide effective strategies for optimizing the use of technological applications by traditional tour operators.

The transfer of knowledge and the preservation of traditions is passed down from generation to generation. The main objective of this study was to explore people’s knowledge of the gastronomic heritage of the Kisalföld regions through an analysis of the county’s (attendance to, decision-making and willingness to spend on food and beverages) taking place in the county, such as the Flavours of Szigetköz, the County Wines Festival, the Flavours of Rábaköz or Eszterházy Baroque Food Festival at Fertőd. A quantitative research was used to analyse the topic (N = 666), the sample is not representative and the selection of respondents was random. Data were collected between 1 September 2023 and 31 October 2023 using electronic questionnaires shared on Google Drive. Data were processed using SPSS 25.0 and MS Office Excel in addition to the descriptive statistical data (modus, median, standard deviation), correlation, and crosstabulation analyses. Important research questions of the study were whether the respondents’ place of respondents influences gastronomic awareness whether age determines willingness to travel to attend a gastronomy event, The most popular gastronomic event in the county was the Vegetables of Hanság Region (mean 3.35), and the least popular was the Szigetköz Flavours of Szigetköz festival (mean 3.01). The key finding of the study is that an essential aspect of sustainability for decision-makers is to know the characteristics of tourists (middle-aged female target group), to select and maximize the different program packages in the marketing of the offer, to distribute the traffic and to avoid mass tourism.

The objective of this article is to examine the provision of temporary exhibitions and events by Slovak museums and galleries, and to highlight their significance in the context of selected performances of these cultural attractions in the tourism sector. The article employs a secondary data analysis of the Ministry of Culture of the Slovak Republic and annual reports from 105 museums and 10 galleries in 2017, as well as 99 museums and 15 galleries in 2022. Correlation and regression analyses were employed to assess the dependence of variables. The results of the analysis confirm a direct, moderate dependence between the number of temporary exhibitions and events and the total number of visitors in museums and galleries. Additionally, the examination demonstrated that the exhibited activity has not had a positive effect on the revenues of museums and galleries. However, with an increasing number of events, their revenues from their own activities grew. The average revenues from one event were found to be higher in museums than in galleries.