جستجوی مقالات مرتبط با کلیدواژه « tourism economy » در نشریات گروه « مدیریت »

The tourist industry is one of the most important sources of economic growth and development and its rapid growth leads to social, economic, and environmental changes. It is necessary to value tourist attractions in an appropriate manner to express the role and importance of tourism and convert it into monetary value. In the present study, the value of recreation was estimated in Dowlatabad Garden using the contingent valuation method (CVM). Also, a logit model was used to investigate factors influencing the willingness of visitors to pay for the improvement and protection of this garden. For this purpose, the Cochrane formula firstly was used to determine the sample size, and then questionnaires and face-to-face interviews were used to collect the data. Regarding results, the variables of monthly income, job, education, vehicles, and the maximum offered amount significantly affect the willingness to pay. But, there is not a significant relationship between willingness to pay and age, gender, and visiting season. The average willingness to pay for each visitor to protect and improve the condition of Dowlatabad Garden was estimated 80,300 Rials. According to the number of annual visitors, the Annual Social Value (ASV) of this historical place was estimated 11,842 million Rials. The results of the present study indicate that the conditional valuation method is efficient for the valuation of non-market goods and services.

.Today, with the advancement of digital and internet, verbal marketing has found a new platform for activity. In fact, marketing in social networks has changed verbal marketing. One of the most important results of social networks is the formation of electronic verbal marketing among the members of these networks, which is considered as one of the most important applications of these networks. The phenomenon of tourism has always been important and based on the predictions made, it will become the most profitable industry in the world, and in the meantime, the field of health tourism is of great importance. Hence, the aim of this research is to investigate the role of effective factors on electronic word of mouth marketing in the growth of health tourism economy (case study: Shiraz city). Descriptive research is a survey. The statistical sample of the research included 56 health tourists from Shiraz, who were selected and interviewed non-randomly. Data and scenarios were analyzed using fuzzy cognitive mapping technique and the research model was designed using social network analysis. In this regard, several factors are involved, among which the verbal advertising factors of users, improving the experience of tourists and increasing interaction with tourists were the most important respectively; Because they were more central. Finally, based on the obtained results, suggestions were made regarding the development of electronic word of mouth marketing in the growth of health tourism economy (case study: Shiraz city).

Health tourism is one of the areas that have a very high potential for the development of tourism business in the country. While countries in the health tourism industry have suffered irreparable losses these days from the consequences of Crown, and it will take a long time to compensate for these losses, the use of new health tourism business models and the use of various capacities can be effective in this regard. The aim of this study was to present the competitive advantage model of health tourism business in post-Corona using meta-combination technique. For this purpose, 238 articles were first selected from reputable scientific databases inside and outside the country, and after several stages of information screening, 41 final articles remained during the compilation process. After open and central coding, out of these 41 articles, 6 main dimensions (culture, infrastructure, access to facilities, environmental factors, price, expert force) and 64 components of health tourism business were obtained. In the next step, using Delphi technique, 15 experts active in this field were asked to introduce the factors that are a competitive advantage of the health tourism business behind the corona, among the identified components. Of the 64 proposed factors, 19 factors were identified as components of the competitive advantage model of health tourism business in post-Corona.

In recent decades, the tourism industry, as one of the most effective service industries, creating employment and protecting the environment, has been growing rapidly and has greatly improved the economic growth of countries that according to various researchers, tourism has many economic and non-economic benefits (including cultural, social and environmental) for communities. Expansion of tourism has variety advantages that includes economic benefits such as GDP growth, reducing unemployment (creating jobs for unskilled and skilled workers, creating businesses related to housing, food, etc.), increasing the income of local and even national residents, attracting foreign investment, promoting development and diversity in other sectors, socio-cultural benefits such as cultural exchange, improvement of cultural activities, promotion of social status, social participation, protection of cultural heritage, protection and promotion of indigenous cultural values ​​and entrepreneurship and environmental benefits such as environmental protection and natural resources, improving infrastructure and protecting the natural landscape. Accordingly, considering the expansion of this industry and its role in the economies of countries, especially developing countries without production resources, identifying the effective factors on the improvement of tourism is necessary and is of great importance. Therefore, the present study seeks to identify the key and influential factors in the development of regional tourism based on different indicators of each region (including income issues) and by dividing the regions into three sections of high, low and middle income, compare the effective indicators on tourism in different regions with the economic modeling approach.
 

The present study intends to compare regional tourism with income-oriented approach among low, high and middle income regions with an analytical-descriptive nature and using modeling techniques. This research is applied one in terms of purpose and the period of study is 1995 to 2015. The data included information of 120 cities in the capitals of middle, low, and high-income countries, derived from indicators of the World Tourism Organization, the World Bank, and the International Monetary Fund (IMF) and with data panel method (fixed and random effects method) and EViews 9 software have been examined.

According to the estimation of research models with fixed and random data panel methods and based on theoretical foundations and previous studies related to the research topic, three indicators of tourism cost share of GDP, per capita tourist expenditures and number of tourists are approved as dependent variables and the effect of independent variables on them was investigated. Based on the results, the share of tourism expenditure in GDP is recognized as the most appropriate regional and international tourism index and the effectiveness of economic variables on the index, showed that the variables of exchange rate, Consumer Price Index (CPI) and GDP per capita, are the most influential regional tourism indicators at the international level.

The results of comparing the effective factors on the regional tourism in all three groups of low, middle and high income, showed that the variables of exchange rate, Consumer Price Index (CPI) and GDP per capita are the most important factors affecting global tourism in all countries and all three groups are low, middle and high income countries. And this factor means that the factors affecting international and regional tourism are the same in different regions and countries.
In other words, regardless of any geographical and regional conditions, economic variables are the most effective indicators in the field of international tourism and, consequently, attracting tourists to the capitals of different countries. Meanwhile, exchange rate and GDP per capita indicators have a positive effect and Consumer Price Index (inflation) has a negative impact on tourism in different countries, which shows the steady impact of these indicators in different regions.
The coefficients of these variables also show well that the lower the inflation in different regions, and the higher the exchange rate and GDP of countries, tourism in countries (in general), will have a more appropriate trend and absorption and also the process of attracting tourists in the regions will be better. In addition, the negative and very high coefficient of price index (inflation) in all three models and for all three groups, shows that high inflation, in other words, price instability in all countries of the world, is a negative indicator in attracting foreign tourists.Also, exactly the same coefficients related to middle and high income countries, in the estimated models, show the high similarity of the two groups in the tourism sector and tourist attraction and consequently, it means that politicians and legislators in this group of countries can conform each other.

Different dimensions of tourism and its relations with religious is an important issue in state management and religious stability planning. According to the important of recognizing correlation between different types of tourism with economy, the paper has studied the tendency of managers to modern, local and religious tourism. In fact, the paper is measured the quantity of managers tourism tendencies. A researcher-made questionnaire was used to collect information. The results showed that the relationship between all independent variables of research with the dimensions of collective tourism (religious, local/Eco-Tourism and modern) was significant. Among the variables, the value tendency system with a coefficient of 0.13 and religiosity with a regression coefficient of 0.255 are the most effective variables on religious tourism. The results also show that the variables of language and dialect with an effect level of 183/0, education with a coefficient of 142 religiosity with a coefficient of 0.41 are the most effective variables on local tourism. In the case of modern tourism, the variables of the value tendency system with the effect of 0.136, and religiosity with the coefficient of regression of -0.176 are the most effective variables on modern tourism.