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1
Xie, Dan, and Yu He. "Marketing Strategy of Rural Tourism Based on Big Data and Artificial Intelligence." Mobile Information Systems 2022 (June 30, 2022): 1–7. http://dx.doi.org/10.1155/2022/9154351.
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In recent years, with the rapid development of artificial intelligence technology and big data application and the continuous optimization of algorithms such as deep learning algorithms and reinforcement learning algorithms, tourist attractions using “smart tourism” technology can obtain more accurate and in-depth knowledge from tourism big data and mine the value behind the data. As an important branch of tourism, the rise of rural tourism has inspired rural areas to protect the local environment, inherit characteristic culture, develop tourism resources, develop tourism economy, and increase rural income, which has well responded to the call of the rural revitalization strategy. However, due to lack of information resources and technology, some rural scenic spots still adopt traditional marketing methods without the support of big data and artificial intelligence technology. This paper proposes a research work on the marketing strategy of rural tourist attractions based on big data and artificial intelligence, analyzes current application of big data and artificial intelligence in rural tourism, and discusses the transformation of rural tourism marketing to a new fusion model with the support of big data and artificial intelligence, aiming to study every step involved and supported deeply by big data and artificial intelligence, from the awakening of intentions before the travel to the analysis of behaviors and preferences during the travel and the collection of evaluation after the travel. The research results of this paper show that more sufficient and deep integration between rural tourism and artificial intelligence/big data are needed to make tourists get better tour experience and marketing strategy of rural scenic spots to get better effects and income.
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Guo, Kaimeng, and Yinan Gu. "The Construction of Smart Tourism City and Digital Marketing of Cultural Tourism Industry under Network Propaganda Strategy." Security and Communication Networks 2022 (August 5, 2022): 1–12. http://dx.doi.org/10.1155/2022/4932415.
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With the emergence of new tourism trends such as popularized and individualized tourism, the traditional development model can no longer meet the development requirements of the new era. Therefore, the construction of tourism informatization is imperative. This work aims to enhance the promotion of tourism resources in Zhejiang Province and explore the effective promotion forms and strategies of tourism resources in Zhejiang network media. The construction of smart tourism city (STC) is taken as the research object. First, the evaluation index system and evaluation model of the construction level of STC are constructed. Besides, an empirical evaluation is conducted with the pilot project of smart tourism city construction determined by the National Tourism Administration as a case. Then, the concept of strength, weakness, opportunity, and threat (SWOT) is used to analyze the advantages, disadvantages, opportunities, and threats of Zhoushan Town’s tourism development. Finally, the model proposed here is tested. The results show that the comprehensive level of STC in 18 cities is quite different. The current average level of STC in China is 0.2791. Except for the support level of smart tourism environment that is lower than Suzhou, the rest levels of Beijing are in the first place, and the comprehensive level of STC construction is in the first place. The comprehensive level of STC construction in Suzhou ranks second, with an average level of 0.1521. Nevertheless, there is a big gap between Suzhou with Beijing. The overall evaluation satisfaction of Zhoushan Town’s tourism is in a moderate state. The analysis results of the SWOT intelligent model demonstrate that Zhoushan Town tourism should choose a growth marketing strategy. The research reported here provides a particular reference for realizing the seamless connection between the intelligent cultural tourism industry and consumers.
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Li, Xiaoxia, Xi Deng, and Hongfei Xu. "Interactive Cultural Communication Effect in VR Space of Intelligent Mobile Communication Network." Wireless Communications and Mobile Computing 2022 (February 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/9689272.
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Virtual reality technology can provide more display techniques to realize the interactive design of multiexhibition area of red humanities and natural resources. First of all, through the three-dimensional interactive display of cultural relics and scene reproduction of historical events, visitors can enjoy the unrestrained and immersive appreciation, make up for people’s lack of understanding of history, and let tourists personally feel the difficulties and hardships in the development of Chinese revolutionary history. Second, the digital method also provides for the pavilion and the scenic spot design personnel more creative method; dynamic scene reappearance interaction design based on virtual reality technology to promote education, protection of cultural relic collection and utilization, academic research, and the industrial development and multidimensional public welfare publicity results is blended in among them, through the panoramic, immersive, and interactive display technique, such as multilevel multiway spread red brigade culture. Virtual reality constantly imitates the real-life environment, and the application of perception sensing equipment has perception. This new technology requires us to continue to explore and research it. Virtual reality technology is a very cutting-edge subject and research field, which is very challenging. The communication form of culture has also been constantly evolving. Virtual reality technology (VR) has changed the way of traditional culture appreciation through the transmission of visual information, bringing people a new aesthetic enjoyment. Mainstream media is used to mobilize the red cultural heritage protection and scholars at home and abroad, to explore the application of virtual reality in the red culture tourist attraction planning, and to explore virtual reality applications in red open spot virtual roaming: exploration of virtual reality in the application of historical and cultural sites to red tourism management and exploration of virtual reality in the brand historical and cultural sites in the application of the travel marketing, to build an intelligent mobile communication network communication platform and broaden the new path of inheritance and protection. On the basis of studying the communication effect of traditional culture, this paper studies the possible communication effect of symphony orchestra under the new technology format under the framework of communication studies. It also analyzes and explores various factors such as the practical value, difficulty, civilized prestige, adaptability, and resistance to adversity of the culture in cultural communication and compares the methods of cultural communication. By developing a virtual instrument placed in the sphere of virtual reality space, the traditional symphony orchestra can be transformed into an interactive culture communication in virtual reality space. In this communication design, users can define their own instruments to play interactive culture communication, change the position of the instrument on the sphere interactively, and even change the sound effect of the symphony interactively by rotating or adjusting the size of the sphere, so as to achieve the best communication effect of the symphony.
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Wang, Chia-Nan, Khanh-Mai Tran, Ching-Chien Huang, Yen-Hui Wang, and Thanh-Tuan Dang. "Supporting Luxury Hotel Recovered in Times of COVID-19 by Applying TRIZ Method: A Case Study in Taiwan." Systems 10, no. 2 (March 8, 2022): 33. http://dx.doi.org/10.3390/systems10020033.
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The current COVID-19 pandemic, which is alarming for another global economic recession, puts the sustainable development of the tourism system under high consideration. The tourism industry is a key generator of foreign exchange across the region. However, tourism is one of the sectors most affected by the global pandemic. Through a case study in Taiwan, the objective of this study is to show how an Evergreen hotel fixed itself on existing and recovering in the hospitality business during the COVID-19 pandemic in 2020 using the combination of the problem hierarchy analysis (PHA) and the Teoriya Resheniya Izobreatatelskih Zadatch (TRIZ) or the so-called theory of inventive problem-solving technique. Following PHA technique and extensive investigation, the management team determined that the most recent problems at the Evergreen hotel are in marketing and human resources. The 39 parameters and 40 principles of TRIZ were used to determine the improvement solution and create a solution strategy that simultaneously simplified critical control-point (CCP) processes and improved the correctness of tasks, increasing CCP efficiency and supporting and satisfying customer demands in the COVID-19 pandemic in the world in general and in Taiwan in particular. The results revealed that customer bookings grew over the four quarters of 2020 due to adjusting the cancellation policy, discounting, and segmenting the market from international to domestic, increasing the CCP efficiency percentage and customer rating score from 19% to 40% and 8.3 to 8.5 score, respectively. Aside from that, changing the hotel structure with a partnership with the Taixie company assisted Evergreen in reducing various cost pressures to manage the business and recover after a difficult period. This paper can be a useful reference for managers, investors, governments, and policymakers to improve the sustainability performance in the tourism industry.
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Nie, Xiaomei, Yongpeng Qu, and Feng Yi. "The Impact of Sports Event Branding Using Edge Computing on Urban Marketing under the Background of Internet of Things." Wireless Communications and Mobile Computing 2022 (July 4, 2022): 1–14. http://dx.doi.org/10.1155/2022/5837919.
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The purpose is to explore the impact of sports event branding on urban marketing. Under the Internet of Things (IoT) background, the impact of sports events on the economy and culture of the host city is explored based on the idea of edge computing. In addition, the economic and cultural impact of the current highest level sports event—the Olympic Games—on the host country is also analyzed. The results show that the more large-scale events are held, the more they can promote the development of the high-end market of urban tourism. The hosting of the Beijing Olympic Games brought Beijing $3.127 billion in revenue and great changes in humanities, ecology, living environment, and other aspects. The higher the gross domestic product (GDP) of a domestic city is, the more events will be held in this city, and the two are positively correlated. Domestic competition resources are concentrated in these cities with strong economic strength. The total number of events held by the top 10 cities in GDP accounts for 64.1% of the top 30 cities. Geographically, among the cities that have hosted sports events, there are 89 cities in the east, with a total number of 1676 events, accounting for 64% of the national events, far exceeding the central and western cities, and even far exceeding the sum of the latter two. Therefore, it can be said that the holding of sports events reflects the comprehensive strength of a city and improves the city’s exposure and popularity. The exploration provides a certain reference value for cities to enhance their influence with the help of events.
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Lu, Fangfang, Mingfang Hu, Wusheng Zhou, and Kelly Yujie Wang. "Based on “Computer Internet +” Rural Homestay Tourism Product Marketing." Wireless Communications and Mobile Computing 2022 (July 20, 2022): 1–7. http://dx.doi.org/10.1155/2022/2809541.
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With the development of the Internet and the strong support of national policies, network technology has been widely used in all fields, and the way of information release is not only faster but also more extensive. With the strong support of the state, network technology has been widely used in all areas of society, and the number of Internet users is also increasing, and rural homestay tourism is a new force in the development of rural tourism. Rural homestay tourism plays a unique role in rural employment increase, active industry, active environment, active culture, and other aspects, so more measures should be taken to promote the development of rural homestay tourism. Therefore, by combining the above two points, rural homestay tourism also needs to carry out practical changes. The combination of Internet and rural tourism marketing is a new marketing mode, which opens up a new way for rural tourism product marketing innovation. Due to the huge market demand and various policy support at the national level, the homestay industry has become a breakthrough point for local activation. The author conducted a survey on the situation of “Internet +” rural tourism, guided and analyzed the results, found out the problems existing in the Internet marketing of rural tourism products, and put forward the strategies to deal with the Internet marketing of rural tourism products.
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Zhang, Yudi. "The Impacts of New Media on Marketing Effectiveness." Journal of Electronic Commerce in Organizations 17, no. 2 (April 2019): 16–28. http://dx.doi.org/10.4018/jeco.2019040102.
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Tourism shopping is an important part of the tourism industry as well as the regional economy. Tourism souvenirs sales, in most of the developed tourism areas, account for more than 35% of the total tourism revenues, and even in some individual regions the proportion can achieve more than 50%. But in China this proportion is only 20%. In this article, the corresponding analysis method is used to calculate and analyze the status quo of souvenir network marketing of the tourism website in China and Korea. The article describes the advantages and disadvantages of the tourism souvenirs network marketing in China and Korea, finding the deficiencies in China and analyzing the causes and providing the corresponding reference for the healthy development of China's tourism industry.
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Xu, Zhiwen, and Fang Xie. "Research on Collaborative Optimization Model of Tourism Resources and Highway Network Based on IoT Network and Deep Learning." Security and Communication Networks 2022 (March 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/1637348.
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With the development of tourism, people's demand and concern for tourist transportation are increasing. Integrating expressway resources into the tourism transportation network is the current trend and direction of expressway network planning. With the rapid development of the Internet, people can easily get the information resources they want, but at the same time, the problem of information overload also arises. The depth of highway access is insufficient, there is a lack of systematic consideration of tourist resources in the area, a systematic tourism network has not been developed, and tourism resources are inaccessible. These issues have stifled regional tourism's fast growth, necessitating research into the convergence of tourist resource development and highway network optimization. The building of highway layouts and the growth of the tourist sector have reached a point where they interact and impact one another, and the degree of this contact has progressively risen. However, there is still a significant disparity in the degree of cooperation across areas. This paper considers the collaborative optimization of tourism resource development and highway network optimization, analyzes its impact on traffic volume distribution, introduces the two-level programming model of collaborative optimization, and determines that the goal of the upper model is to maximize social net income. It also considers the collaborative optimization of tourism resource development and highway network optimization on the basis of clarifying the game relationship between planning decision-makers and traffic travel and considers the collaborative optimization of tourism resource development and highway network optimization on the basis of in-depth learning. For the total investment of tourism construction projects, the time cost saved by highway network optimization, and the total tourism revenue, the lower-level model aims to minimize the travel time of a single user. This paper shows that the layout planning of the regional tourism highway network from the perspective of tourism resources can improve the accessibility of regional high-quality tourism resources and meet the requirements of the coordinated development of highway tourism and resources.
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GRETZEL, ULRIKE, and DANIEL R. FESENMAIER. "IMPLEMENTING A KNOWLEDGE-BASED TOURISM MARKETING INFORMATION SYSTEM: THE ILLINOIS TOURISM NETWORK." Information Technology & Tourism 6, no. 4 (January 1, 2003): 245–55. http://dx.doi.org/10.3727/1098305032781175.
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KC, Birendra, Duarte B. Morais, M. Nils Peterson, Erin Seekamp, and Jordan W. Smith. "Social network analysis of wildlife tourism microentrepreneurial network." Tourism and Hospitality Research 19, no. 2 (June 30, 2017): 158–69. http://dx.doi.org/10.1177/1467358417715679.
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Social networks are an important element of entrepreneurship. Entrepreneurs rely on social networks to access ideas, information, and resources to facilitate their entrepreneurial process. Strong and weak ties influence the entrepreneurial process in unique ways. This study utilized social network analysis approach to examine wildlife tourism microentrepreneurship through in-person structured interviews with 37 microentrepreneurs from North Carolina’s Pamlico Sound Region. Specifically, this study examined the extent of network ties, the type of support received from those network ties, and the process of creating and maintaining the business network ties. Weak ties were more prevalent than strong ties. Support was received in terms of marketing and advertising, information sharing, and product sponsorship. Weak ties were established through professional workshops and seminars or while working in the same territory, whereas reciprocity, togetherness, communication, and trust were identified as major factors to maintain weak ties. This study suggests that cognitive social capital factors (e.g. reciprocity, togetherness, and trust) can be highly important toward effective use of social networks, as well as to ensure entrepreneurial success.
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Lu, Ying, and Bo Cui. "Intelligent Tourism Marketing and Publicity Methods for Revenue Enhancement." Mobile Information Systems 2022 (August 28, 2022): 1–11. http://dx.doi.org/10.1155/2022/6943120.
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For online e-commerce platforms, big data intelligent marketing is an essential tool for promoting companies, creating pictures, participating in competitions, and engaging customers. This also gives traditional marketing a new sense of precision and a new approach to increasing revenue. Marketing and public relations based on big data analytics and intelligence should be considered important and profitable for the travel and tourism business. Tourism enterprises need to learn to use intelligent technology to guide marketing activities and formulate comprehensive and accurate marketing strategies. Infiltrate the advantages of intelligence into all aspects of tourism marketing, so as to form an intelligent, precise, and modern tourism marketing and publicity model, and help enterprises to improve their income. This work focuses on the research on intelligent tourism marketing and publicity. The main research contents include the following aspects. First, this work proposes a revenue-enhancing tourism marketing and publicity method, which is mainly divided into the use of intelligence to enrich the form of publicity and marketing and the use of intelligence to refine the content of publicity and marketing. Second, this work proposes an IWOA-BP network for evaluating a revenue-enhancing intelligent tourism marketing promotion method. It improves the WOA algorithm by introducing a nonlinear convergence factor and adaptive crossover mutation to construct the IWOA algorithm. Then IWOA is applied to initial weights and thresholds for optimization, which can solve the drawbacks of the traditional BP network and improve the performance and reduce the training time. Third, this work conducts a comprehensive evaluation of the proposed revenue enhancement-oriented tourism marketing and publicity methods and IWOA-BP, and the experimental results verify the feasibility of these methods.
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Elliott, R., and C. Boshoff. "The marketing of tourism services using the internet: A resource-based view." South African Journal of Business Management 40, no. 3 (September 30, 2009): 35–50. http://dx.doi.org/10.4102/sajbm.v40i3.543.
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Taking a resource-based view of the business, this study attempts to identify the non-technology resources driving the successful use of the Internet for marketing tourism services. If these complementary resources can be identified, they can be used to leverage the use of the Internet for marketing, which in turn will contribute to a sustainable competitive advantage for small tourism businesses.Hypotheses are developed and then tested by making use of a large-scale empirical study. The results indicate that a network of effective alliances, the existence of a product champion in the business, and appreciation by the owner-manager of the broader business implications surrounding the implementation of the Internet for marketing, are important to the successful use of the Internet for the marketing of tourism services.The study makes a contribution to the literature by identifying and measuring the drivers of Internet marketing success, as well as by establishing how resource-based theory provides a valuable approach to consideration of how these factors can be managed.
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Li, Cuihan, and Shaojun Lyu. "Machine Learning-Based Classification and Evaluation of Regional Ethnic Traditional Sports Tourism Resources." Mobile Information Systems 2022 (August 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/8404931.
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Traditional sports in ethnic minority regions are a valuable cultural heritage. Regional ethnic traditional sports are not only a sports business but also a tourism resource. The construction of a reasonable regional sports tourism resource classification model is fundamental to the development of sports tourism resources. However, the existing sports tourism resources classification is mostly constructed manually based on the national standard tourism resources classification system. The efficiency and accuracy of the traditional manual classification are poor and cannot reflect the characteristics of regional ethnic traditional sports tourism. In order to solve the above problems, a machine learning-based classification method for regional ethnic traditional sports tourism resources is proposed. Firstly, the relevant concepts and characteristics of traditional sports tourism resources are introduced. Then, taking the development of traditional sports of ethnic minorities in Yunnan Province as the research object, SWOT analysis, literature, interview, questionnaire, and mathematical statistics are used to investigate and analyse the overall status of the development of regional ethnic traditional sports. Secondly, a classification evaluation method based on an optimised back-propagation (BP) neural network is proposed. Finally, the optimised BP neural network model is applied to the classification of traditional sports tourism resources. The experimental results show that the optimised BP model performs well in the classification of traditional sports tourism resources, verifying its effectiveness.
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Xie, Weiguang, and Yunchi Ma. "Tourism Resource Evaluation and Countermeasures Based on Network Communication and TOPSIS Algorithm." Wireless Communications and Mobile Computing 2021 (November 11, 2021): 1–13. http://dx.doi.org/10.1155/2021/8172282.
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Tourism resources are the basis of tourism activities. Affected by traditional values and the reusable characteristics of tourism resources, tourism resources have been regarded as worthless for a long time. In recent years, people have begun to establish correct values of tourism resources. However, due to the particularity of tourism resources, the issue of their value evaluation has been controversial. Value evaluation is value recognition or evaluative recognition. In order to develop a cost-effective method to obtain tourism resource evaluation and countermeasures, this paper has done a research on tourism resource evaluation and countermeasures based on network communication and the TOPSIS algorithm. For this reason, we selected a tourist attraction to conduct survey experiments. During the experiment, network communication was used to realize the exchange and sharing of their information between different people through specific media. At the same time, the TOPSIS method is used in the selection of the plan, based on the calculation results of the combined weighted TOPSIS, and the SPSS is used for the principal component factor. The suggestion and the exact conditions of the local tourism resources are combined to establish a model of the tourism resource evaluation system in this place. The experimental results show that the relative importance of viewing value is prominent in the evaluation of tourism resource value. Its weight reaches 0.509, and its popularity weight is 0.257. The evaluation and countermeasures of tourism resources based on network communication and TOPSIS algorithm are effective.
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Li, Hui. "Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm." Complexity 2021 (May 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/5114802.
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At present, there is a wide variety of tourism resources on the Internet. Tourism management departments must monitor these resources. At the same time, tourists must also retrieve personalized information that they are interested in. This requires a lot of time and energy. This essay studies and implements the tourism network resource monitoring system. The main work completed in the thesis proposes and constructs a topic collection algorithm and establishes a starting point, topic keywords, and a prediction mechanism. The algorithm includes three stages: the first climbing stage, the learning stage, and the continuous climbing stage. Open category directory search is used for similarity judgment and result evaluation. The experimental results show that with the continuous execution of the crawling process, the collection speed of related pages is getting faster and faster. We propose an algorithm for the extraction of wood based on the density of Internet tourism resources. The algorithm calculates the ratio of Internet tourism resource labels by row and uses a threshold extraction algorithm to distinguish area from private non-Internet tourism resource area. Experimental results show that the algorithm can successfully extract the main content of the article from a wide variety of web pages. This thesis takes the monitoring of tourism network resources as the research object and establishes a tourism network resource monitoring system, which can provide users with customizable, all-round, and real-time tourism network resource collection, extraction, and retrieval services so as to monitor tourism resources. The research results of this article can promote the construction of tourism informatization and can help users grasp the latest tourism information, thereby bringing great convenience to tourism. The system only downloads travel-related information through the use of topic collection technology, reducing the interference of irrelevant redundant web pages.
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Kan, Xinglong, and Lin Li. "Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks." Computational Intelligence and Neuroscience 2021 (December 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/1081814.
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With the development of neural network technology and the rapid growth of China’s tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm and designs the neural network analysis system of influencing factors of tourism resources based on multispecies evolutionary genetic algorithm. The collection and acquisition of data information are realized from the aspects of resource income status, tourism development investment, and sustainability evaluation in the tourism area. The multispecies evolutionary genetic algorithm is used for comprehensive analysis and evaluation. The algorithm can realize the complex analysis and comprehensive evaluation of the core influencing factors of neural network. Accurate analysis and evaluation were carried out according to the different characteristics of tourism resources and the current situation of tourism income. The results show that the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm has the advantages of high practicability, good sorting effect of variable ratio, and good data integration. It can effectively analyze and compare the comprehensive evaluation factors affecting tourism resources in different ratios.
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Chigora, Farai, and Clever Vutete. "Comprehending Determinants of Demand: Zimbabwe Tourism Destination Scenario." Issues in Economics and Business 1, no. 2 (December 7, 2015): 17. http://dx.doi.org/10.5296/ieb.v1i2.8689.
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<p>The study investigated on the most dominant determinants of tourism consumption in Zimbabwe tourism destination. The research design was a QUAL to QUAN sequential mixed method starting with a qualitative research design followed by quantitative research. The qualitative research helped in getting the main determinants of demand using in-depth interviews from managers and experts in the tourism industry. The agreed determinants include disposable income, demographic changes, change in taste and preferences, religion dynamics, globalization, marketing and advertisement, customer knowledge, destination branding, social networks, destination’s own price, price of other destinations and media propaganda. These where then tested for their dominance in the accommodation, travel and resort sectors in Zimbabwe through a quantitative design. The results showed that the most controlling determinants of tourism demand in these three sectors include destination’s own prices, level of disposable income, social network discussions, media propaganda, marketing and advertising. The study recommended a low pricing strategy, extensive marketing and utilization of e-resources in marketing.</p>
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Chigora, Farai, and Clever Vutete. "Comprehending Determinants of Demand: Zimbabwe Tourism Destination Scenario." Issues in Economics and Business 1, no. 2 (December 7, 2015): 24. http://dx.doi.org/10.5296/ieb.v1i2.8690.
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<p>The study investigated on the most dominant determinants of tourism consumption in Zimbabwe tourism destination. The research design was a QUAL to QUAN sequential mixed method starting with a qualitative research design followed by quantitative research. The qualitative research helped in getting the main determinants of demand using in-depth interviews from managers and experts in the tourism industry. The agreed determinants include disposable income, demographic changes, change in taste and preferences, religion dynamics, globalization, marketing and advertisement, customer knowledge, destination branding, social networks, destination’s own price, price of other destinations and media propaganda. These where then tested for their dominance in the accommodation, travel and resort sectors in Zimbabwe through a quantitative design. The results showed that the most controlling determinants of tourism demand in these three sectors include destination’s own prices, level of disposable income, social network discussions, media propaganda, marketing and advertising. The study recommended a low pricing strategy, extensive marketing and utilization of e-resources in marketing.</p>
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Nguyen, Thi Quynh Trang, Xuan Dam Dong, and Thang Ho. "Stakeholder Involvement in Destination Marketing: A Network Analysis of two Destinations in Vietnam." Tourism and hospitality management 27, no. 1 (May 3, 2021): 189–203. http://dx.doi.org/10.20867/thm.27.1.11.
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Purpose –This paper aims to identify the stakeholders involved in tourism destination marketing networks. The involvement and collaboration of multiple individuals and organisations is widely recognised in destination marketing to promote a destination. Internal stakeholders of a destination and their collaboration are frequently studied in destination marketing research, but little attention is paid to the involvement of external stakeholders. Design/Methodology/Approach – Quantitative social network analysis is an important approach to understanding stakeholder connections and roles in tourism destinations. In this paper, this analysis was conducted using primary data collected from social network surveys in Da Nang and Hue, two local destinations in central Vietnam. Sixty-nine questionnaires were collected in Da Nang, and 60 questionnaires in Hue. The network data were each analysed separately using UCINET software. Findings – The results show the involvement of different stakeholders in marketing activities in these local destinations. Most of the marketing networks of Da Nang and Hue consist of business units. While the Da Nang marketing network focuses on critical stakeholders and fundamental business firms with strong financial resources and big brands, the Hue marketing network includes more diverse stakeholders and more significant participation of small and medium local firms. Originality of research – This research found the participation of national and international stakeholders located outside the two destinations studied in their marketing network. Their involvement was identified through their collaborative relationships with the DMOs and internal stakeholders of the two destinations to promote the destinations nationally and internationally.
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Coccossis, Harry. "Cultural heritage, local resources and sustainable tourism." International Journal of Services Technology and Management 10, no. 1 (2008): 8. http://dx.doi.org/10.1504/ijstm.2008.020340.
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LIN, CHIN-TSAI, CHUAN LEE, and CHENG-SHIUNG WU. "FUZZY GROUP DECISION MAKING IN PURSUIT OF A COMPETITIVE MARKETING STRATEGY." International Journal of Information Technology & Decision Making 09, no. 02 (March 2010): 281–300. http://dx.doi.org/10.1142/s0219622010003828.
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To determine marketing strategy may well be the most critical function of management. The pursuit of competitive advantage always requires much deliberate thought and discussion. The current study attempts to develop a marketing strategy evaluation framework based on the resource-based view (RBV) of the firm to competitive advantage. It tries to identify the most important marketing-specific resources and capabilities using a multiple criteria decision making (MCDM) method. This study employs the fuzzy analytic hierarchy process (AHP) method as an analytical tool to determine a unique competitive marketing strategy for a small tourism venture such as a privately owned hotel. The findings indicate that the differentiation strategy is the best competitive marketing strategy for allocating specific and limited resources and capabilities toward sustainable competitive advantage.
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Zhang, Qiu Mei, and Wei Mei Zhang. "An Analysis of Impacts of Computer Network on Marketing of Furniture Enterprises." Applied Mechanics and Materials 367 (August 2013): 495–98. http://dx.doi.org/10.4028/www.scientific.net/amm.367.495.
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Network marketing is developed on the basis of application and development of modern electronic technology and communication technology. Compared with the traditional furniture marketing, it has obvious advantages in several aspects. Furniture enterprises should take a close grasp of this opportunity, enlarge investment in resources of network marketing, make full use of this sort of modernized marketing mode and better serve the business goal of furniture enterprises.
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Zu, Enhou, Ming Hung Shu, Hsiao-Chun Huang, Ching-Tang Hsieh, and Jui-Chan Huang. "Wisdom Homestay Tourism Recommendation Platform and Marketing Strategy Based on Multi-Information Fusion Sensor Network." Mobile Information Systems 2022 (July 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/8179161.
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At present, China’s tourism market is huge, and traditional hotel accommodation is not popular with young people, and homestays are just in line with young people’s yearning. And most of the current push methods are determined by consumption on large platforms such as Ctrip, which not conforms to the recommendation method of homestays, so it aims at personalized marketing research for homestays. In this paper, the multi-information fusion sensor network is used to push B&B hotels in tourist areas to achieve B&B hotel marketing and maximize profits. Using the multi-information fusion sensor network to carry out personalized platform design, platform users can easily and quickly search for the homestay they want and can realize the automatic push function to achieve the rationality of marketing. The experimental results in this paper found that the average relative speedup increased from 1.9 to 17.7 for the execution of the scoring-oriented algorithm in the algorithm compared to a single computer. Performing the sort-oriented algorithm in the algorithm, the average relative speedup increased from 1.9 to 18.8. It can illustrate the effectiveness of the design system in this paper, and the software can carry out personalized marketing for homestays.
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Wang, Wei, Shiqi Yu, Suiying Cheng, Kaixia Liu, and Shuang Jia. "An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics." Computational Intelligence and Neuroscience 2022 (May 17, 2022): 1–8. http://dx.doi.org/10.1155/2022/2207814.
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With the rapid development of tourism, professional tourism villages emerge one after another, which has become the focus of the tourism industry. At present, there are some problems in tourism professional villages, such as imperfect management and inaccurate prediction of future development, which affect the rational allocation of tourism resources. In order to improve the distribution of tourism resources and better predict the development of tourism professional villages, it is necessary to make comprehensive judgment and analysis, especially the analysis of indicators such as the prediction and development judgment of tourism professional villages. This paper discusses the optimization analysis of the agglomeration of tourism specialized villages by backpropagation (BP) neural network and system dynamics model, analyzes the system structure of the agglomeration factors of tourism specialized villages, and promotes the intelligent integration of the agglomeration factors. The development of clusters of professional villages promotes data integration among resources, economy, society, and other elements and presents the characteristics of big data. As the level of concentration of professional villages increases, the complexity of the associated factors also increases, which increases the difficulty and effectiveness of tourism analysis. In view of this situation, taking mountain tourism as the research object, this paper proposes an improved system dynamics model based on BP, extracts features from cross factor (resource, economic, and social) data, and optimizes the relationship between professional village agglomeration and various factors. The MATLAB simulation results show that based on the improved system dynamics analysis, the simplification rate of (resources, economy, and society) data can be controlled at more than 24%, the degree of agglomeration is more than 95%, and the construction time of the relationship map of related factors is less than 40 s. Therefore, the analysis method proposed in this paper is suitable for the calculation of the agglomeration of tourism professional villages in the mountain area and can meet the needs of the development of tourism professional villages in the mountain area.
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Рассохина, Татьяна, Tatyana Rassokhina, Владимир Минаев, Vladimir Minaev, Алексей Сеселкин, and Aleksey Seselkin. "Russian market of rural tourism: current status, factors of sustainable development, management features." Universities for Tourism and Service Association Bulletin 9, no. 1 (March 10, 2015): 5–13. http://dx.doi.org/10.12737/7937.
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The article deals with rural tourism as a rapidly growing sector of the tourism industry associated with the use for marketing purposes natural, cultural, historical, ethnographic and other resources in rural areas and their specific features for the creation and implementation of an integrated tourism product that reflects the image of the rural way of life and rural culture and customs, traditional rural labor. The article highlights the main problems impeding the development of rural tourism market, reveals the leading trends and factors associated with it. The authors analyze the main reasons that slow down the development of rural tourism in Russia. Based on a market research of the consumer market of Moscow identified are the basic needs of tourists in the market for rural tourism. Highlighted are the features of the market development of rural tourism in regions, in particular related to the network-centric model where the most important focus is placed for rural destinations. The authors draw attention to the role of tourism in sustainable development of rural settlements. Discussed arelegal and regulatory frameworks, incentive programs for rural tourism market. Highlighted are the priority factors for rural tourism development in regions of the Russian Federation: the legal framework of rural tourism development; support for small and medium-sized enterprises in the field of rural tourism; a network-centric unified regional marketing strategy to promote rural tourism products; formation and promotion of rural tourism products; the involvement of the population in the movement for healthy lifestyle; training for rural tourism; skills of the rural population in the field of tourism services.
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Niu, Wei. "Collaborative Optimization Model of Highway Network with Tourism Resources as the Target Node." Mobile Information Systems 2022 (August 21, 2022): 1–11. http://dx.doi.org/10.1155/2022/8720801.
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In order to improve the collaborative optimization effect of tourism resources and highway network, this paper combines deep learning algorithm to construct a collaborative optimization model of tourism resources and highway network, and adopts an algorithm based on continuous convex approximation. By iterating the optimal solution obtained each time, a high-quality approximate beamforming matrix and artificial noise covariance matrix can finally be obtained, which eliminates the problem that the traditional algorithm cannot solve the noise. Moreover, this paper introduces artificial noise to prove that the rank relaxation is compact by considering the corresponding minimization power problem. The simulation results show that the proposed scheme and approximation algorithm can obtain better system security and speed than the existing literature, and there are certain improvements compared with the traditional method, so the effectiveness of the method in this paper is verified by simulation experiments.
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Adeolu Tunde, Ogundele. "Geographical Distribution of Tourism Resources in Iseyin Local Government Area, Oyo State, Nigeria." IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT 8, no. 1 (August 11, 2022): 51–63. http://dx.doi.org/10.56201/ijgem.v8.no1.2022.pg51.63.
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Tourism development has been described as one of the fastest growing industries in the world. With the quest of Oyo state government for alternative sources of revenue generation, there is the need for inventory of tourism resources in the state. This paper therefore provides scenic view of geographical patterns of tourism resources in Iseyin Local Government Area, Oyo state, Nigeria. The paper mainly depended on the review of literature on tourism development and policy. The analysis showed that tourism attractions/sites are spatially distributed in the local government area with Iseyin and Ado-Awaye axis more endowed than other parts of the local government area. Most of the tourism resources are naturally made like the Suspended Lake, Ishage Rock, Agbomofunyake Depression, Iya-Alaro Lake, Elephant Tree, the Elders’ Foot Prints, Ikere Gorge Dam among others. Others such as Aso-Oke Festival and Maje Kankan Shrine are man-made (socio-cultural heritage) phenomena. Despite these huge tourism resources, defective tourism development policy reflecting in inadequate funding, dearth of infrastructural facilities especially poor road network to the sites and inadequate information about the tourism sites hinder the government revenue drive accruable from tourism development. There is no doubt that with effective policy, adequate funding, infrastructural facilities and effective marketing strategy, the tourism facilities in the area can improve the socio-economic development of the people in the area and improve the revenue drive of the government
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Elliott, R., and C. Boshoff. "The utilisation of the Internet to market small tourism businesses." South African Journal of Business Management 36, no. 4 (December 30, 2005): 91–104. http://dx.doi.org/10.4102/sajbm.v36i4.646.
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The tourism sector has been identified as an industry that has the potential to make a substantial contribution to the growth of the South African economy. The majority of tourism ventures are, however, small businesses, which differ from their larger counterparts not only in terms of size, but also in regard to access to resources and marketing expertise. Not surprisingly, one of the issues identified as preventing this sector from reaching its full potential is access to markets. The Internet has been identified as tool which may assist small businesses in both their global and domestic marketing.The focus of this study was to identify the factors specific to the Internet (rather than the technology per se or organisational factors) driving the success of the use of the Internet for marketing purposes in small businesses operating in the tourism sector in South Africa. If these factors can be identified and their relative influence on Internet marketing success be determined, it will allow small tourism businesses utilise the capabilities of the Internet more effectively.The results indicate that having a product champion in the business, having a network of effective alliances, a high level of owner-manager involvement in the Internet marketing strategy as well as a clear owner-manager vision are important to the successful use of the Internet for the marketing of small tourism businesses in South Africa.
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Izzo, Federica, and Quirino Picone. "Defining an Integrated and Computed Methodology Approach for Sentiment and Psychographic Analysis in Tourism Research." Journal of Tourism and Services 13, no. 25 (December 20, 2022): 1–21. http://dx.doi.org/10.29036/jots.v13i25.393.
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High-performance computational resources and artificial intelligence-based tools can enhance tourism research and marketing. However, a formal methodological approach using digital technologies in this field is still missing. This research work presents the preliminary results of defining an integrated computational methodology in tourism research and marketing. In addition, the paper aims to provide guidelines for a methodological approach leveraging technological resources and Big Data. The proposed research method is based on online User-Generated Content (UGC) analysis through a psychographic approach based on the Big Five Model, Sentiment Analysis, and Machine Learning techniques. The study is supported by high-performance computing resources, artificial intelligence-based tools, and open-source Python-based software for data collection, text analysis, and psychographic attribution. Results show a remarkable performance of the BFF prediction model and confirm the role of personality in the tourists’ decision-making and appreciation of a site. Future developments of this project involve using the acquired structured dataset labeled with sentiment and psychographic attribution to create a further prediction model on tourist segments and appreciation as part of a marketing strategy in tourism management. Future research should push forward the development of further integrated and performing computer-based methodology in tourism research and marketing, leveraging the massive amount of data and the potential of high-performance computing techniques. The main contribution of this research effort is twofold: the definition of a general-purpose BFF/Sentiment Analysis methodology and the development of a prediction model from online UGC based on the Big Five personality traits in the tourism research scenario.
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Picot-Coupey, Karine, Jean-Laurent Viviani, and Paul Amadieu. "Determinants of retail store network expansion via shop-in-shops." International Journal of Retail & Distribution Management 46, no. 10 (October 8, 2018): 915–43. http://dx.doi.org/10.1108/ijrdm-08-2016-0139.
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PurposeWhy do some retail networks operate shop-in-shops along with stand-alone units while others do not? Drawing on a resource-based and intellectual capital (IC) perspective as a broad theoretical lens, the purpose of this paper is to focus on retailer-run shop-in-shops and examine the determinants of their adoption.Design/methodology/approachTo gain a comprehensive understanding of shop-in-shop adoption by retail branded networks, a research design mixing a quantitative study (n= 170) and a qualitative study (n= 19) was adopted to test nine hypotheses regarding these determinants of the adoption of retailer-run shop-in-shops and explore in greater depth the processes whereby they actually occur.FindingsThe main findings show that intangible resources are major determinants of the choice to operate shop-in-shops while tangible resources are minor determinants. The more robust results of the analysis lie in the positive effect of own-label merchandise range, premium pricing strategy, positioning based on symbols, retail concept fast renewal and high sector specialisation on the choice to operate a shop-in-shop. The effect of financial constraints on the decision to expand via shop-in-shops is limited.Research limitations/implicationsThe authors emphasise the importance of marketing-related and company-related characteristics in differentiating the likelihood of retail networks to expand via shop-in-shops. These results lend support to the relevance of a resource-based and IC perspective in explaining the propensity of retailers to develop via shop-in-shops.Practical implicationsThe decision to operate shop-in-shops should depend on the extent to which intangible resources – the most important being retail positioning grounded in symbols, an own-label merchandise range, and a high retail branded network reputation – can be valued and enhanced. Expanding a retail network via shop-in-shops does not appear to be a financially constrained expansion strategy: it must be considered as a relevant first best strategy when an independent and young retail company has intangible resources to value but limited tangible resources.Originality/valueThe study contributes to channel management and retailing research in four ways. First, it precisely delineates the specific characteristics of shop-in-shops. Second, it provides theoretical explanations – based on a resource and IC perspective – of determinants that influence the choice of shop-in-shops. Third, it empirically tests the influence of marketing-related and company-related characteristics when adopting shop-in-shops. Fourth, it provides insights into how adopting shop-in-shops. To the authors’ knowledge, the research is on the first to analyse theoretically and test the determinants for the choice of retailer-run shop-in-shops.
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Jin, Yuping. "Applying Fuzzy Clustering to Examine Marketing Strategy of Tourism Brand in Mobile Internet Era." Journal of Electronic Commerce in Organizations 17, no. 2 (April 2019): 29–41. http://dx.doi.org/10.4018/jeco.2019040103.
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Mobile internet technology is the development of modern communication technology and internet technology, which guides the progress of modern communication and the information field. It enables most users to access the internet easily with just a mobile phone through a powerful and convenient mobile network. Compared with the traditional ways of television advertising and television broadcasting, there is a clear advantage to expand the development of tourism by using the mobile internet. Therefore, it is important to study the development of tourism industry in the context of the mobile internet era. Based on the analysis of the characteristics of mobile internet, and its impact on the tourism industry, this article uses the intelligent push algorithm based on fuzzy K-means clustering to construct the similarity matrix. Then, the efficiency is pushed, and reasonable information is sent to users by the calculated degree of interest. In this way, people can realize a more perfect tourism development strategy based on the background of the mobile internet era.
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Marie Bourlon, Fabien Pierre. "La ciencia como recurso para el desarrollo turístico sostenible de los Archipiélagos Patagónicos." PASOS. Revista de Turismo y Patrimonio Cultural 18, no. 5 (2020): 795–810. http://dx.doi.org/10.25145/j.pasos.2020.18.057.
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The article analyses the activation of the object “science” on the coast of southern Chile to create a destination for scientific tourism. A territorial resource is “revealed” through the selection and enhancement of scientific objects. A research centre acts as an articulator of the tourism development project and trans‑ forms “generic” resources to “specific” ones. New heritage milestones are created around cultural geographi‑ cal areas and relevant themes for scientists and local actors. New social links and collective dynamics allow the creation and insertion of an emerging tourist destination in the national and international scenario. Giving value to resources for the creation of a sustainable destination is carried out in 5 theoretical stages; selection, justification, conservation, exposure and valorisation. In practice, it requires the formation of a network of actors to clarify the nature of the destination and the marketing of four possible scientific tourism products: scientific and sports explorations, eco‑volunteering or cultural trips with scientific content. In this manner the Patagonian Archipelagos offers products based on scientific resources enhanced by local actors to create a sustainable destination.
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Yu, Huixia. "Development of tourism resources based on fpga microprocessor and convolutional neural network." Microprocessors and Microsystems 82 (April 2021): 103795. http://dx.doi.org/10.1016/j.micpro.2020.103795.
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Anthony Ogunjinmi, Adekunle, Jacob Oluwafemi Orimaye, Matthew Attahiru Gana, and Abraham Adebayo Adewumi. "Determinants of tourists’ willingness to pay for conservation of ecotourism destinations: A case study of Ikogosi Warm Spring Resort, Nigeria." Advances in Forestry Science 9, no. 3 (October 4, 2022): 1839–49. http://dx.doi.org/10.34062/afs.v9i3.13173.
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Tourist WTP was estimated using the contingent value method for conservation and protection of Ikogosi Warm Spring Resort in Ekiti State, Nigeria. The Warm Spring is one of Tourist WTP was estimated using the contingent value method for conservation and protection of Ikogosi Warm Spring Resort in Ekiti State, Nigeria. The Warm Spring is one of Nigeria's most beautiful environments, attracting a big number of tourists each year and serving as a significant ecotourism development location. In order to evaluate if demographic characteristics, awareness of natural resource conservation, tourist behavior, motivation, and satisfaction affect WTP, a face-to-face survey employing a questionnaire was done with two groups of tourists, domestic and international visitors to the site. The maximum amount that tourists were willing to pay was computed using the mean and median values. Multiple linear regression analysis was used to determine the factors that influence tourists' WTP. For domestic tourists, the mean and median maximum amount they were willing to pay was US$2.57 and US$2.37 respectively, and for international tourists, US$1.27 and US$1.00. Age, education, income, domicile, and nationality all had an impact on the tourists' WTP, according to the research. It has been suggested that the site's management may use these elements to segment tourists for marketing purposes in order to secure the site's long-term viability.
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Zhong, Tian. "Research on Marketing Strategy of Chinese Painting and Calligraphy Art Based on Wireless Communication Network Resources." Security and Communication Networks 2022 (February 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/7788645.
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China has a thousand years of cultural heritage, and its famous paintings and calligraphy works are all representatives of the works of art. Calligraphy and painting have changed from works of art to commodities. This is undoubtedly caused by the changes of the times and society. Calligraphy and painting have gradually formed in this process. The most basic feature that distinguishes the market from other markets is the difference in marketing strategies. Aiming at the current problems in the online marketing of Chinese paintings and calligraphy works, a marketing strategy for Chinese paintings and calligraphy works based on wireless communication network resources is proposed. In view of the lack of accurate analysis of the current Chinese painting and calligraphy and artwork marketing and the uneven quality of the artwork, the above-mentioned problems can be improved through the allocation of wireless communication network resources. The experimental results show that the scope of dissemination of Chinese paintings and calligraphy works using this marketing strategy is wider, and the marketing transaction rate and profit are greater.
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Li, Jing, and Bin Cao. "Study on Tourism Consumer Behavior and Countermeasures Based on Big Data." Computational Intelligence and Neuroscience 2022 (July 19, 2022): 1–12. http://dx.doi.org/10.1155/2022/6120511.
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In our study, through consulting, summarizing, and analyzing a large number of related literature studies on tourism consumer behavior, tourism big data, text data analysis, and so on, a framework of research ideas on tourism consumption was constructed. The train browser, NLPIR, and other software packages are used to crawl, preprocess, and mine the travel sample data, and the word frequency analysis, co-occurrence analysis, content analysis, sentiment analysis, network analysis, and other methods are used to analyze the characteristics and decision-making behavior of tourists. Based on the results of behavioral analysis, we proposed tourism development strategies from three aspects: reforming and promoting tourism marketing strategies, improving tourism product and service quality, and improving tourism destination management methods. The results show that (1) for the tourist characteristics, taking into account the factors of climate and geographical location, the domestic market is divided into four grades of markets, and different marketing strategies are adopted according to different market characteristics; (2) for the tourism decision-making behavior, a “push-pull resistance” tourism decision-making model was established through word frequency analysis, co-occurrence analysis, and content analysis; (3) for the tourism consumption preferences, through network analysis of scenic spots, it is found that there are three tourist routes preferred by tourists; and (4) for the tourism perception evaluation behavior, based on the “cognitive-emotional” model, this study describes the tourism image from the two dimensions of the cognitive image and emotional image. Generally speaking, tourists show a positive perception state. The research on tourism consumer behavior based on UGC (user-generated content) data can help scenic spots and other tourism companies to understand the characteristics and rules of tourists’ behavior, understand the consumption preferences of different tourism groups, develop diversified tourism products, improve the quality of tourism services, and further cater to market segments. This research provides a new idea for tourist attractions and tourism management departments to monitor tourist behavior through big data analysis.
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Yang, Fu-Chiang. "Application of centralised DEA in an automobile parts retail network in Taiwan." International Journal of Retail & Distribution Management 48, no. 7 (May 4, 2020): 667–86. http://dx.doi.org/10.1108/ijrdm-02-2019-0061.
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PurposeThe purpose of this study is to address three managerial issues in a retail network under a centralised regime, including resource allocation, expansion and downsizing. In particular, this study investigates how to optimise resource allocation across retailers and how to decide the optimal size of a retail network for an empirical case, where 27 retailers belong to an automobile parts supplier in Taiwan.Design/methodology/approachThe centralised data envelopment analysis (DEA) approach is used to optimise resource allocation among retailers and to seek the possibility of either an expansion and/or downsizing for a retail network.FindingsThe case company knows the best way to (re)allocate its available resources and (re)arrange the outcome goals for its own retailers. The 27 retailers are assigned specific targets for input and output adjustments to become Pareto or technically efficient units. Besides, an experiment is designed to measure how changing the number of retailers affects the group efficiency of the retail network. To keep the current aggregated output level of the retail network, the centralised supplier needs at least 24 retailers. However, the retail network with 37 retailers can achieve maximal group efficiency.Originality/valueCentralised resource allocation is an inherent feature of most supplier-retailer relationships, where the supplier is usually a central planner with the power to allocate available resources among its own retailers. To the best of our knowledge, this is the first study to assess retail performance under a centralised regime.
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Jiang, Xuehui. "Application of E-Commerce Interactive Marketing Model Based on Distributed Algorithm of Mobile Ad Hoc Network." Wireless Communications and Mobile Computing 2021 (December 2, 2021): 1–9. http://dx.doi.org/10.1155/2021/9766214.
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With the development of the mobile Internet, e-commerce has become one of the important ways of daily consumption, but how to effectively use e-commerce for interactive marketing and increase sales is an important research direction. Mobile ad hoc distributed algorithms are introduced in this paper. Through sorting out the mode of e-commerce interaction influence, process marketing is performed from two-dimensional code, short message, business district, mobile search, Bluetooth, wireless network, and other methods, and interactive marketing is tried in various industries such as education, tourism, agriculture, catering, finance, and publishing, and simulation experiments are used to verify them. The simulation experiment results show that the mobile ad hoc distributed algorithms are effective and can support the e-commerce interactive marketing model.
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Communication Networks, Security and. "Retracted: Research on Collaborative Optimization Model of Tourism Resources and Highway Network Based on IoT Network and Deep Learning." Security and Communication Networks 2022 (December 15, 2022): 1. http://dx.doi.org/10.1155/2022/9803909.
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Constantin, Daniela Luminita, and Constantin Mitrut. "Tourism, cultural resources and regional competitiveness: a case study in Romania." International Journal of Services Technology and Management 10, no. 1 (2008): 48. http://dx.doi.org/10.1504/ijstm.2008.020346.
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Zhao, Ying, Qinghua Zhu, and Jiujun Bai. "Fuzzy Neural Network-Based Evaluation Algorithm for Ice and Snow Tourism Competitiveness." Complexity 2021 (April 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/9980528.
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This paper researches and analyzes the evaluation of the competitiveness of ice and snow tourism, uses the improved fuzzy neural network algorithm to process the system flow diagram of ice and snow tourism development through the function and characteristics of the power system of ice and snow tourism, and finally selects more than 40 indicators of the three subsystems of resources, economy, and culture. Based on the construction of cloud fuzzy neural network model, the above method is used for experimental comparison analysis, and experiments are conducted through University of California Irvine (UCI) dataset and engineering examples to compare with the traditional cloud model, fuzzy neural network, and BP neural network to analyze the operation efficiency, accuracy rate, and several rules of the algorithm. Through the experimental comparative analysis, the cloud fuzzy neural network can fully take into account the randomness and fuzziness of the data, optimize the generation of cloud rules, avoid multidimensional rule disasters, and ensure the operational efficiency of the algorithm; the accuracy rate of the algorithm is improved relative to that of the traditional technology, and it applies to a variety of datasets. And the software is used to test the ice and snow tourism industry system dynamics model to realize the correctness and robustness testing of the model. After the constructed model can reflect the real situation within the error range, the final policy simulation of the model is carried out.
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Lang, Ningning, Lin Wang, and Quanbo Zha. "Targeted Allocation of Marketing Resource in Networks Based on Opinion Dynamics." Mathematics 10, no. 3 (January 27, 2022): 394. http://dx.doi.org/10.3390/math10030394.
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Recent advances in information technology and the boom in social media provide firms with easy access to the data of consumers’ preferences and their social interactions. To characterize marketing resource allocation in networks, this paper develops a game theoretical model that allows for each firm’s own utility, action strategies of other firms and the inner state (self-belief and opinions) of consumers. In this model, firms can sway consumers’ opinions by spending marketing resources among consumers under budget and cost constraints. Each firm competes for the collective preference of consumers in a social network to maximize its utility. We derived the equilibrium strategies theoretically in a connected network and a dispersed network from the constructed model. These reveal that firms should allocate more marketing resources to some of consumers depending on their initial opinions, self-belief and positions in a network. We found that some structures of consumer networks may have an innate dominance for one firm, which can be retained in equilibrium results. This means that network structure can be as a tool for firms to improve their utilities. Furthermore, the sensitivities of budget and cost to the equilibria were analyzed. These results can provide some reference for resource allocation strategies in marketing competition.
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Molina Navarro, Francisco, Manuel Rivera Mateos, and María Genoveva Millán Vázquez de la Torre. "Outdoor sports and active tourism company management in Cordoba (southern Spain): An empirical study on the perception and behavior of supply." PLOS ONE 15, no. 12 (December 11, 2020): e0243623. http://dx.doi.org/10.1371/journal.pone.0243623.
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This paper analyzes the perception and behavior of active tourism companies that provide outdoor physical sports activities in emerging tourist destinations in Cordoba, an inland province of southern Spain. The active tourism supply of registered businesses was analyzed using fieldwork data and more than 30 variables including training and qualification of human resources, business vision of demand, marketing and promotion strategies, and perceptions of supply trends. To this end, a quantitative-qualitative empirical study was performed together with in-depth interviews of key stakeholders. Official registry sources were also used to complement the data. The results show a fragmented network of micro-SMEs that are functionally isolated from the rest of the tourism supply and display an intuitive and poor market-oriented behavior due to the inadequate management of their client portfolio. Such management models make it difficult for these businesses to take advantage of key strategic assets to increase profitability and achieve a competitive and sustainable advantage.
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Bu, Xiangwei, and Mingyang Jiang. "Extraction of Intangible Cultural Heritage Visual Elements by Deep Learning and Its Application in Grassland Tourism of the Silk Road Culture." Computational Intelligence and Neuroscience 2022 (June 20, 2022): 1–15. http://dx.doi.org/10.1155/2022/3242960.
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Inner Mongolia is rich in grassland tourism resources, and the development of grassland tourism is of great significance to Inner Mongolia tourism and promotion of grassland protection. To better promote the grassland tourism of the Silk Road culture, the Conditional Global Area Network (CGAN) and Morphology Connected Component Chan-Vase (MCC-CV) algorithm are used to enhance and segment the traditional embroidery patterns in Inner Mongolia. Firstly, the generative adversarial network (GAN) is optimized, and a new GAN is proposed with the feature vector extracted from the convolutional neural network (CNN) as the constraint condition. Secondly, the automatic segmentation algorithm of embroidery based on the MCC-CV model is proposed, and finally, the proposed algorithm is tested. The test results demonstrate that after 8000 iterations of the proposed image-enhancement algorithm, its personalized features are enhanced, and the segmentation accuracy of the proposed image segmentation algorithm is 60%. The proposed algorithm provides some ideas for the application of deep learning (DL) technology in the grassland tourism of the Silk Road culture and also helps operators to accurately grasp the market and make tourists more comfortable and pleasant.
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Xiao, Lingling. "Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model." Computational Intelligence and Neuroscience 2022 (August 9, 2022): 1–13. http://dx.doi.org/10.1155/2022/8411999.
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Intangible cultural heritage has a unique value. It is very important to evaluate and discover the value of intangible cultural heritage. Therefore, referring to the relevant references of countries around the world, this paper compares the research status of countries around the world with the development trend of China’s intangible cultural heritage, indicating that the network resources of intangible cultural heritage can be converted into cultural capital according to the basic theory of cultural capital and then get an economic value. The use value of intangible cultural heritage is analyzed and considered according to IPA entity model analysis, kernel density estimation (KDE), and gray correlation calculation (calculated by using IPA analysis conclusion). Among them, because intangible cultural heritage cannot be measured and verified immediately, indirect measurement verification is carried out by selecting indirect indicators such as the total number of intangible cultural heritage and the development trend of intangible cultural heritage tourism. Based on the gray correlation analysis of the total number and relative density of national intangible cultural heritage and the intangible cultural heritage tourism and related industrial chains, the following proposals for the development trend of intangible cultural heritage are clearly put forward as follows: (1) Further excavate the meaning of “non-material property tourism” and increase the scope of development and design of cultural and art tourism network resources. (2) Make full use of the guiding effect of government departments on “intangible cultural heritage tourism,” and improve the normalization of the combination of culture, art, and tourism. (3) Expand the whole industrial chain of “intangible cultural heritage tourism” in an orderly manner, and promote the concept of coordinated and sustainable development of cultural and art tourism.
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Gao, Haifeng. "Big Data Development of Tourism Resources Based on 5G Network and Internet of Things System." Microprocessors and Microsystems 80 (February 2021): 103567. http://dx.doi.org/10.1016/j.micpro.2020.103567.
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Bokunewicz, Jane F., and Jason Shulman. "Influencer identification in Twitter networks of destination marketing organizations." Journal of Hospitality and Tourism Technology 8, no. 2 (June 12, 2017): 205–19. http://dx.doi.org/10.1108/jhtt-09-2016-0057.
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Purpose Destination marketing organizations (DMOs) use Twitter to promote attractions and special events and to build brand awareness. Tweets of a DMO spread through a complex network of connected accounts. Some of these are more influential than others due to their position within the network. This paper aims to use a network analysis of 14 DMOs to identify the categories of influencers that have the greatest reach. Design/methodology/approach NodeXL was used to download and analyze network data from Twitter during July 2016 for a collection of DMOs promoting US cities. Accounts in the networks were ranked using several measures of relative influence such as the number of times the accounts mentioned/retweeted others or were mentioned in posts about the DMO. The most influential accounts in the network were identified and coded by category. Findings Media, promotional accounts and those of individuals were determined to be influential by each metric considered. Stakeholders such as hotels and restaurants occupy positions of low importance in the networks and generally do not capitalize on opportunities provided by the DMOs. Practical implications DMOs can seek out strategic partnerships with key influencers to maximize their effectiveness. Additionally, stakeholders can improve their Twitter presence by interacting with the DMOs and other influential accounts. Originality/value This paper identifies influencers that can aid in DMOs’ marketing campaigns. It also presents a methodology that can monitor the effectiveness of such campaigns, something absent in the current literature.
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Xie, Dan, and Chao Yin. "Research on the Communication Strategy of History and Culture in Shaanxi Based on BP Neural Network Model." Computational Intelligence and Neuroscience 2022 (January 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/8965622.
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Shaanxi is one of China’s most important cradles of civilization. The main vein of Chinese culture is rich history and culture, and brilliant red culture embodies the essence of socialist core values. It is still relatively weak to deeply analyze the related research of Shaanxi Province’s cultural province construction on the basis of studying the achievements of cultural development in foreign countries and China and combining with the reality of Shaanxi Province. In this paper, a BPNN (BP neural network) model is selected to study the comprehensive evaluation of tourism competitiveness of smart tourism cities, and the software is used to realize the simulation of the comprehensive evaluation system of tourism competitiveness of smart tourism cities, which more comprehensively and objectively reflects the level of comprehensive competitiveness of each city. It is believed that there are some problems in Shaanxi regional cultural communication, such as insufficient exploration of content resources, insufficient communication channels, and low audience awareness, hoping to provide ideas and reference for further exploring the promotion of cultural communication power.
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Wang, Guangming, and Yifeng Wang. "Innovative Marketing Framework for Enterprises Using Edge-Enabled Data Analysis." Mobile Information Systems 2021 (February 6, 2021): 1–8. http://dx.doi.org/10.1155/2021/6699420.
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An effective marketing strategy has become a challenging task with the development of the social economy for the reform and innovation of many domestic and foreign enterprises. The idea of edge computing is also gaining prominence and is broadly recognized. Edge-enabled solutions provide computing, analysis, storage, and control nearer to the edge of the network. The existing literature highlights the concepts of social media marketing and evaluates the advantages of social media for communication between individuals and companies. However, there is a lack of an effective marketing strategy for enterprises. This article proposes an innovative marketing framework for enterprises using data analysis and wireless networks. The proposed framework is composed of two different modules. Initially, a corporate innovation and marketing framework module is established through edge computing to carry out a wireless transmission of relevant data and information at the edges of the network. Later, the enterprise marketing resource optimization module is constructed based on the particle swarm algorithm. The proposed framework performs efficient calculation and storage using a resource optimization module. The feasibility and effectiveness of the proposed framework are verified using the analysis of the actual case test results. This proposed framework can effectively improve the innovation efficiency level of existing enterprises and the optimization of marketing management resources.
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Ratynskyi, Vadym, Iryna Halytska, and Yuliya Severina. "Using of information technology and SMM in the tourism sphere." Socio-Economic Problems and the State 25, no. 2 (2021): 695–701. http://dx.doi.org/10.33108/sepd2022.02.695.
Full textAbstract:
The directions and prospects of using information technology in the hospitality industry, as well as the main problems that accompany the work of a hotel business marketer, are considered in the article. One of the main ones is the emergence of new digital marketing tools that make it possible to obtain new information about customers, but these technologies are usually used only by large hotel companies. Tourism is an important sector that contributes to the development of the country's economy. To gain a larger share of this competitive sector, it is necessary to create more profitable new tourism markets and develop appropriate marketing strategies. A separate block considers the technology of tourism promotion in social networks, methods of promotion on the example of tour operators and travel agents, the effectiveness of advertising on social networks, its prospects in the future. The competition of the tourist market is growing every day and requires the development of new promotion strategies, one of which is the use of SMM in the tourism business. Travel companies that already work on social platforms not only have regular customers, but also acquire new ones. Social networks allow you to respond quickly to what is happening among the target audience. In addition, SMM is a set of practical tools for promoting and selling travel products and services, which open up new opportunities for advertising campaigns due to the fact that people spend most of their time on the Internet, in particular on social networks. The use of information technology and methodologies is one of the most pressing issues in the field of tourism. Competition for potential tourists takes place in the information space both at the national level and at the level of individual businesses. Issues of brand awareness and consumer loyalty - are solved in traditional and innovative ways, especially through Internet marketing and social networks. For example, Ukrainian companies actively use information technology and reservation systems, are full members of the global network. However, due to lack of experience and financial resources, it is often impossible to compare with foreign companies and brands in the use of Internet marketing and promotion.