جستجوی مقالات مرتبط با کلیدواژه « صنعت گردشگری » در نشریات گروه « مدیریت »

Today, the increase in carbon dioxide (CO2) emissions and its adverse environmental effects have been noticed more than ever. In this regard, The main goal of this research is to investigate the impact of CO2 emissions on the tourism income of selected countries that are members of the Organization for Economic Cooperation and Development (OECD) during the annual period of 2008 to 2019 using the panel quantile regression model. The quantile panel regression estimation results show that carbon emission (LCO2) hurts tourism income in all deciles except for the first, second, fourth, and fifth deciles. The rest of the deciles have statistical significance. Gross domestic product (LGDP) positively and significantly affects all deciles. Trade openness (LTRADE) positively affects tourism income in all deciles except for the fifth, sixth, and seventh deciles. The rest of the deciles have statistical significance. The number of incoming tourists (LTN) up to the sixth decile positively affects tourism income, and the seventh and eighth deciles have no statistical significance. The governance index (GOV), except for the second, third, and fourth deciles, has a negative effect. However, in the rest of the deciles, it positively affects tourism income, and the sixth, eighth, and ninth deciles have statistical significance. The exchange rate (LEX) negatively affects tourism income in all deciles, and except for the first decile, the rest have statistical significance.

In order to minimize losses in tourism industry, it is necessary to study the best methods of survival in a crisis and Iran's location to a high risk of crisis in the region, increases the need to present a crisis model in this industry. In order to find a suitable solution in accepting the crisis and providing practical measures, the factor of corporate social responsibility was studied.

This research is of an applied type, which was conducted with the approach of content analysis and data collection was done from the study of research literature and in-depth interviews with experts. Sampling continued in a targeted way, with Atlas software and in-depth examination of themes.

The indicators of human resource management, revenue management, crisis communication, alternative approaches to providing services and social legitimacy, which are derived from strategic methods of social responsibility, show the high impact of these factors on tourism crises.

Forming a crisis management team, determining the international and domestic target market, market adaptation with products and services, trust-building, the suggested solutions were discussed by the experts.

Corporate Social Responsibility is presented with key indexes and examples of sub-indexes: in this order, in the key index of human resources management: it provides improving competitiveness. In the revenue management index: price optimization, in the crisis communication index: it provides the impact on professional ethics. In the index of alternative approaches to providing services: product optimization, and in the index of social legitimacy: it provides shared value

The places frequently visited by tourists can become high-risk areas due to the high volume of tourists and significant financial activity. Using environmental design is one of the most effective ways to prevent crime and improve environmental sustainability in these destinations. This article evaluates the importance and effectiveness of various components in preventing crime in the Imam Ali (AS) Square and Naqsh-e Jahan Square axis in Isfahan. The research follows a purposeful and descriptive-analytical method. Data was collected through library and field research. After identifying 35 effective components in crime prevention through literature review, experts were asked to complete a questionnaire. The data was then analyzed using importance-performance analysis. The results showed that components such as "several commercial-administrative and part-time uses in external and internal roadways," "holding ceremonial events," "level of cleanliness," and "level of establishment of population-attracting uses" had the highest average performance. On the other hand, components like "permeability," "creating a positive image in the minds of tourists," "presence of security and instilling a sense of security in tourists," "reduction of abandoned and ruined spaces," "elimination of hidden corners," and "control of uses with social norms" were found to have the highest average importance.

As the goals outlined in the Iranian Strategic Tourism Development Policy Document cannot be realized without attracting financial resources, this study sought to design a model for effective strategic factors in attracting investors to the tourism industry in Ardabil province using the mixed-method approach. The population of the study at the qualitative phase comprised managers and officials of the Directorate General for Cultural Heritage, Handicrafts, and Tourism of the province, potential and real professionals and investors in tourism, and university experts with at least five years of experience in tourism management, investment, and marketing. The sample size of the study was selected through purposive sampling. To collect the required data, semi-structured interviews were conducted with the participants of the study until theoretical saturation was achieved in the twenty-fifth interview. The collected data were then analyzed via systematic grounded theory using open, axial, and selective coding. Accordingly, fifty-four concepts, eighteen sub-categories, and seven main categories were found after the integration and classification of concepts. Based on the proposed model of the study, the investors’ tendency to invest in tourism, tourism environment, and investment attraction management, the quality of tourism infrastructure, social factors prevailing over the region, supportive measures, and strengthening the position of tourism were identified as the core category, causal conditions, contextual conditions, intervening conditions, strategy, and the result of the implementation of strategies, respectively. In the quantitative phase, a questionnaire was developed by the researchers based on the identified components. Then, the questionnaire was administered to 220 investors and experts in the field of tourism. The collected data were then analyzed through the Smart PLS Software using structural equation modeling. Finally, the validity and correlation among the model’s variables were reconfirmed.

The present study was carried out trying to effect of Green human resource management on environmental Performance With mediator role of Organizational Citizenship Behaviors in tourism industry in Kish Island. In terms of research objective and data collection method, the study is an applied and descriptive-correlation one. The research statistical population consisted of 547 Employees in tourism industry in Kish Island from which a total of 226 subjects were selected as the sample using Cochran formula and accident sampling method. In addition, research data was collected through Green human resource management (Mohammad Nejad Shurkai), Organizational Citizenship Behaviors (Vaijayanthi et al)and environmental Performance (Arvaneh) In order to assess the validity of the questionnaires, the views of the distinguished professor of guidance and some experts in this field were used and finally the questionnaires were approved. survey and the reliability of which was calculated through Cronbach’s Alpha. After the questionnaires were collected and it was found, by means of Kolmogorov-Smirnov test, that variables were normal, the data were analyzed using Pearson Correlation in SPSS and PLs software. The results of the research original hypothesis indicated that Green human resource management significantly influences environmental Performance With mediator role of Organizational Citizenship Behaviors in tourism industry in Kish Island.

The world statistics indicate that the spread of Corona virus is caused a decrease of 70% in international tourism industry. Therefore, this paper seeks to answer this fundamental question: what is the effect of Corona disease on the sectoral production and institutional income distribution in Iran? To analyze this question, structural path analysis is used. For this purpose the new social accounting matrix (SAM) of 2016 is estimated. The matrix comprises 110 activities and 22 institutions (including income deciles of urban and rural households, companies and government). Then in consonance with the question, the effects of reducing foreign tourism expenditure on the production and income distribution have been worked out. The results show that the decrease in international tourism has led to decrease in total productions, for which the highest decreases belong to the wholesale and retail sectors, transportation, hotel and restaurant, services related to food and beverages and manufacturing of food products with shares of 16.6, 11.6, 10.5, 9.3 and 6.1 percent, respectively. The results of the structural path analysis approach reveal that among the factors of production, mixed income is the most and important path which stands for decrease of income of all institutions due to the reduction of foreign tourism expenditure, both for urban and rural households as well as companies.

The tourism industry has grown significantly in recent years and has moved from traditional to structured, professional and globalized. This research was conducted with the aim of identifying and leveling the risks of human resources as well as drawing the relationships between them.

In terms of the purpose, this research is considered to be an applied type and an exploratory type of study, and in terms of method, it is laid in the category of mixed research. In the qualitative part, for this purpose, human resource risks were extracted from the studies conducted using theme analysis.

According to the findings of the research, the risks of "lack of appropriate educational structure", "non-compliance with the labor law and problems of the law for employees", and "lack of a suitable service compensation system (salary and benefits)" are the most basic human resource risks affecting the tourism industry, which should beprioritized.

Due to the service-oriented nature of the tourism industry, human resources and related risks have always been the concern of trustees and business owners in this field. These results help the policy makers in determining the most suitable path and development of the tourism industry.

The contemporary tourism industry is undergoing a transformative phase due to factors such as increased global travel, improved infrastructure, and widespread adoption of digital technology. This exponential growth has turned the tourism sector into a suitable platform for emerging developments. Understanding user behavior has become a crucial factor for businesses in the tourism industry to attract audiences, enhance satisfaction, and ensure loyalty. However, there is a significant lack of comprehensive research in this field, which poses challenges for data-driven decision-making and alignment with evolving perspectives. This paper utilizes social network analysis to examine and analyze the communication network of Iranian tourism websites and understand the consumer behavior of Iranian users towards tourism services. The study identifies eight distinct communities of tourism websites: ticket and tour purchasing forums, accommodations (hotels), online taxi services, accommodations (suites and cabins), food and cooking, location-based services, bus tickets and international tours, and migration. Through analyzing the relationships between these communities, valuable insights into mutual communication and communication patterns in the tourism ecosystem are presented. These findings contribute to facilitating sustainable and innovative future pathways by providing practical insights and policy recommendations for industry stakeholders.

This study aims to present the optimal model of the Tourism Value Chain in Yazd Destination, which enables improvement of the current status of tourism development in YD. The literature review identified 67 key factors affecting the TVC. These factors were studied using the Fuzzy Delphi Method. This research is descriptive regarding the purpose and practical regarding the results. The experts’ opinions, who are familiar with the research field, have been used to collect data. The method of sampling was purposeful. According to the results of this research, 54 factors were confirmed by the experts. As well, "positive and negative economic, socio-cultural and environmental effects" and "destination management organization" were added and confirmed. According to the results of the research, it is suggested that the tourism destination management organization of Yazd Province should be formed regarding the role-playing of all the stakeholders of the tourism development of the province, achieving the desired outputs, maximizing the satisfaction of tourists and positive economic, social-cultural and environmental effects and minimizing negative effects. Also, the offered optimal model should be used as a framework and a method for analyzing and synthesizing the formation processes of the tourism experience and identifying opportunities to increase value through positive actions or removing obstacles or limitations.

The purpose of this research is to investigate the impact of the customer's sensory, emotional, behavioral and mental experience on the intentions of customers who shop online, taking into account the mediating role of customer interactions in the tourism industry in Tehran. The research method is practical in terms of purpose and survey in terms of data collection. The statistical population is internet customers who use the sites that provide tourism services in Tehran. The statistical sample is 384 people who use internet sites to purchase tickets or online travel services. The non-probability sampling method is available and the data collection tool is a standard questionnaire. Structural equation modeling and Smart PLS3 and SPSS software have been used for data analysis. The findings of the research showed that customers' experiences have a positive and significant effect on customers' behavioral intentions in the tourism industry, and they will use those services in the future and recommend them to others. Also, customers' experiences have a positive effect on customers' cognitive interactions. It has meaning. The obtained results show that expanding the sensory, emotional, behavioral and cognitive aspects of tourism brands leads to a better customer understanding of the brand, which in turn affects their future behavior.

The purpose of this research is to design a model of information technology commercialization in online businesses with an emphasis on the tourism industry. This research is mixed in terms of practical purpose, exploratory in nature, and in terms of data collection method. In the qualitative part of the research, 12 experts were selected in the fields of information technology and tourism. In this research, semi-structured interviews were used by non-random sampling method. The statistical population in the quantitative section was estimated to include 384 online businesses and companies providing tourism services. In the qualitative part, the theme analysis method was used to analyze the data collected. In the model test, research hypotheses were first prepared and then analyzed by structural equation modeling method and using Lisrel software. The results of the quantitative stage showed that the commercialization of information technology in online businesses was explained by 10 components including Economic factors, legal issues, Infrastructure, factors related to marketing, managerial factors, factors affecting business, political issues, cultural prerequisites, business environment, and technology management. The highest priority is related to the factor of legal issues, and political issues, structure, factors affecting business, cultural prerequisites, managerial factors, technology management, economic factors, factors related to marketing and business environment are in the next priorities respectively

Considering the importance of using e-marketing to introduce attractions and considering the high potential of tourism in Yazd province, this article has been done with the aim of designing and validating the e-marketing model in the tourism industry of Yazd province. The present study has been integrated with an approach and has been carried out by a combined method or a mixed method. In this study, by using the research method of thematic analysis and conducting interviews with 14 experts in the tourism industry of the province, the factors affecting electronic marketing in the tourism industry of Yazd province are identified and categorized. The results of the interviews are analyzed by content analysis method and the quantitative part is tested by structural equation modeling. A total of 679 codes were identified by initial coding in open coding, which reached 56 concepts by screening primary codes and were classified into 12 main categories in centralized coding, including technological infrastructure, strategic planning, e-commerce learning, and high tourism potential. Province, the importance of providing tourism information, e-marketing, recognizing tourist attractions, branding, reducing the cost of access to the target market, growth and prosperity of tourism, job creation, increasing competitiveness. The results of structural equation modeling showed that the effect of all independent variables on the development of e-marketing in the tourism industry of Yazd province has been positive and significant. As a result, the model obtained from this research can be effective in the development of electronic marketing in the tourism industry. The findings will also help researchers and policymakers implement e-marketing in the tourism industry.

Although many aspects of brand theory can be applied to tourism destinations and different places, the branding process of tourism destinations is much more complicated than branding for products and goods. For this reason, it is necessary and important to identify the factors that lead to the branding of tourist places. In this article, we have tried to present a brand development model in the tourism industry using a qualitative approach and thematic analysis method. To present the model, first the research literature was studied and then 10 tourism industry experts were interviewed. The data obtained from the interviews were coded, the categories were defined and finally 7 main themes were obtained, which include attachment to the place, awareness of the tourism destination brand, physical factors, background conditions, place value, communication and information. Facilities and services.

As one of the most important industries worldwide, the tourism industry has led to the rapid growth of economic development, preparing the grounds for the development of new businesses, which has proved very effective in expanding job opportunities for different walks of life. Therefore, this exploratory study sought to develop an innovative business model for the tourism industry with an emphasis on creating value in the destination using a grounded theory method. The required data were collected through library studies and semi-structured interviews. To this end, open and in-depth interviews were made with 16 experts until the theoretical saturation was reached. The participants comprised experts of the tourism industry, university professors, hotel managers, guides of travel agencies and tours, heads, and officials of tourism industry departments, and tourists, who were selected via purposive sampling. The collected data were thematically analyzed according to open, axial, and selective coding. Finally, the conceptual model of the study was developed based on the Strauss and Corbin model, indicating that the core principle underlying the development of diverse advantage-oriented businesses is derived from casual conditions and influenced by contextual factors. It was also found that the core principle could be identified based on some strategies. Moreover, the intervening factors were extracted from the textual data collected from the interviewees by identifying the categories that indicate environmental conditions.

Success in the tourism industry is the result of a new vision of innovation, called open innovation. In this regard, the present study investigates the role of innovation level, external openness, and open innovation management in the innovative performance of small and medium-sized tourism businesses in Guilan province.

This research is an applied and a descriptive-survey study in terms of purpose and method, respectively. The statistical population of the study was 713 managers of small and medium-sized tourism businesses in Guilan province. According to Cochran's formula, 250 of them were selected by purposive non-random sampling. To collect data, questionnaire of Iglesias-Sánchez et al. (2019) were used. The construct validity of the questionnaire was confirmed by convergent and divergent validity and their reliability was confirmed by Cronbach's alpha, composite reliability, and factor loading. Data analysis was performed using structural equation modeling.

External openness and open innovation management have almost the same positive and significant effect on innovative performance and the innovation level affects innovation performance less than these two variables.

The innovative performance of tourism businesses is influenced by all three variables of innovation level, external openness and open innovation management; In fact, these variables help to introduce and offer new and high-quality products and services, increase customer satisfaction and loyalty, and finally, increase sales revenue from new products and services.

The aim of this research is to present a model for the development of the tourism industry with an emphasis on the role of media management using a mixed approach. A mixed (qualitative-quantitative) approach has been used in this research. The statistical sample in the qualitative part included 15 professors and specialists and experts in communication, media and tourism: and in the quantitative part of the research, it included 200 managers and senior tourism experts in Mazandaran. In the first step of the research, the coding of the specialized research interviews was done using the qualitative analysis of the theme with MAXQDA v10.R150410 software. In the next step, the results of confirmatory factor analysis with Smart PLS software are presented. Then, the existing categories were leveled with the structural-interpretive method with MicMac software and the initial research model was designed. Based on the results obtained in this research, advertising, service quality, policy making, participation of local people, tourism culture, proper use of the environment, income generation in tourism destination and infrastructure facilities were identified as the main components that have an impact on the tourism industry. The results of the quantitative part of the research showed that the proposed model has a good fit and credibility for the impact of mass media on the development of the tourism industry.

Working on Customer Relationship Management (CRM) has an enormous impact on the activities in the tourism industry. But the success rate in CRM system implementation is too low, and failure has been seen in more than 70% of these projects. The purpose of this study is to provide a model for the successful implementation of a customer relationship management system in the tourism industry. This applied research is exploratory in nature and uses the grounded theory approach to study 35 tourism companies over a year. CRM project managers in these organizations participated in interviews, and their documents have been observed and analyzed. The results showed that successful CRM implementation in the tourism industry requires management support, organizational culture and belonging, and appropriate corporate literacy. Information Technology (IT) infrastructure and budget constraints are barriers to the deployment project. Integrating organization processes, training managers and staff, encouraging and punishing employees, strategic alignment, providing the technical infrastructure, providing sufficient customer recognition, and suitable budget development were identified as the prescriptive actions (or strategies) for successful implementation of CRM systems.

Despite potential tourism capacities in Iran, few foreign tourists visit Iran compared to the competing countries due to the lack of infrastructure, the existence of legal barriers, and the sanctions imposed against Iran. As considerable growth in the application of information technology to tourism is one of the main trends in this industry, this applied exploratory study sought to identify future scenarios of business intelligence in Iran’s tourism industry using both qualitative and quantitative methods to analyze the collected data. The population of the study comprised tourism, future study, and business intelligence experts, out of whom the intended participants were selected via judgmental sampling. The study was conducted in three phases. In the first phase, thirty effective driving forces of the prospective business intelligence in the tourism industry were identified by reviewing the related literature and interviewing the experts. In the next phase, the identified driving forces were screened and prioritized using the EDAS. To this end, the driving forces were screened via the Binominal test, twenty of which were eliminated from the analysis, accordingly. Then, the remaining ten driving forces were assessed using the EDAS method. Finally, the type of decision-making culture and the arrival of foreign tourists were selected as the final driving forces, which, together with the application of root definitions and the organization of consultation workshop, formed the basis of offering four scenarios, namely the prosperity, heterogeneity, the spider web, and the ice ages. Accordingly, the prosperity and ice age scenarios illustrate the best and worst conditions for the future of business intelligence in tourism, respectively.

Sustainable consumption and production patterns (SCP) play a crucially important role in the sustainable implementation of all economic activities. Therefore, this study specifically sought to develop a structural model to assess the driving forces involved in establishing a sustainable consumption and production pattern and to improve the sustainable aspects of the supply chain in tourism. To this end, first, fourteen consumption and production-related factors were selected and developed using the relevant literature and the experts’ views. Then, the collected data were analyzed using the Gray Relational Analysis, considering the fact that this model helps identify the causal relationships between the selected stimuli and assess the power of their mutual interactions. According to the study’s findings, ten influencing driving forces and four influenced ones were identified as the factors involved in establishing a sustainable consumption and production pattern in the tourism industry. Accordingly, the highly influential driving forces that readily affect other driving forces were identified as the "Government policies and regulations for developing an integrated system of sustainable consumption and production", "The managerial Support and involvement in implementing a sustainable consumption and production pattern", "Initiatives and advertising campaigns developed by various tourism enterprises for implementing a sustainable consumption and production pattern", and “Gaining market advantage and improving the overall performance in the industry". Identifying the causes and effects involved in implementing a sustainable consumption and production pattern in tourism’s supply chain, the findings of this study can help managers easily analyze relevant issues in this regard and thus enhance their overall performance by recognizing the cause and effect driving forces.

The aim of the current research is to design a model of a heterogeneous co-creating ecosystem in the tourism industry from the perspective of experts, managers and employees, customers and tourism agencies, which is based on the data theory of the Strauss and Corbin Foundation. Using the purposeful sampling method, semi-structured interviews were conducted with three groups of experienced experts including 21 managers and employees of Shiraz hotels, 15 customers and 15 managers of tourism agencies. The data was extracted and analyzed in three stages of coding (open, central and selective). The result obtained was 29 general categories, which in the form of a paradigm model include causal factors (customers' co-creation, suppliers' co-creation, managers' co-creation, employees' co-creation), contextual factors (customers' personality traits, employees' characteristics, technological advances) hotel, characteristics of managers and industry characteristics), intervening factors (obstacles related to the hotel, barriers related to the industry and national barriers), strategic factors (improving communication mechanisms with ecosystem actors, improving communication mechanisms between ecosystem actors together , increasing the satisfaction of ecosystem players, clarifying the processes of providing services to customers) and consequences (consequences for the hotel, consequences for customers, consequences for employees and consequences for the society). The operationalization process of the homogeneous heterogeneous ecosystem model and the relationships between categories and their dimensions are depicted by this model.