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1
Li, Hui. „Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm“. Complexity 2021 (26.05.2021): 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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Wei, Xin. „A Classification Method of Tourism English Talents Based on Feature Mining and Information Fusion Technology“. Mobile Information Systems 2021 (19.05.2021): 1–9. http://dx.doi.org/10.1155/2021/5520079.
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With the rapid development of the Internet, text data has become one of the major formats of big data tourism and improves the quality and promotes the optimization and upgradation of tourism English talents. This paper proposes a model of tourism English talent resources based on data mining techniques using a big data framework. The characteristic distribution structure model is built to identify and blend the characteristics of tourism English talent resources. Connection feature mining and information fusion are combined to share data and schedule resources during the talent training process. Initially, the proposed research work uses a cloud storage system for developing intercultural communicative competence of tourism English talents. Next, the optimal scheduling design of tourism English talent training resource’s big data is carried out. Finally, the fuzzy clustering method deals with the adaptive clustering of tourism English talent resource distribution big data. The simulation findings show that the proposed method has high precision and big data computation efficiency. Moreover, it can successfully mentor the development of a new framework of tourism English talent training.
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Hu, Lei, Jun Xu, Chao Bao und Tao Pei. „Influential Factor Detection for Tourism on the Qinghai-Tibet Plateau Based on Social Media Data“. ISPRS International Journal of Geo-Information 10, Nr. 9 (27.08.2021): 579. http://dx.doi.org/10.3390/ijgi10090579.
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Tourism is playing an important role in the economic development of the Qinghai-Tibet Plateau (QTP). To better develop tourism in this region, the spatial heterogeneity of influencing factors on tourism needs to be studied. Using the spatial distribution of tourism potential from social media data, this paper analyzes the influencing factors of tourism on the QTP from the perspective of spatial heterogeneity. We extract microblogs related to travel topics connected to the QTP in 2017 from Sina Weibo to capture tourism potential. Then, factors considered from six aspects (tourism resources, amenities, transportation, geography, population, and the economy) are selected, and a geographic detector (Geodetector) is employed to detect the explanatory power of these factors for tourism potential. The results indicate different influential tourism factors in Qinghai and Tibet. In Qinghai, the main factors are hotels, tourist attractions, and road network density, and the explanatory power of the factors mainly comes from eastern and western Qinghai. In Tibet, the main factors are road network density, regional GDP (Gross Domestic Product), and urban land. It is suggested that tourism in the central region of Qinghai can be improved by enhancing the publicity and utilization of tourism resources, and Tibet should enhance tourism resource utilization and improve tourism amenities and infrastructure.
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Irwan, Siti Nurul Rofiqo, Hani Perwitasari und Muhamad Muhamad. „Pendampingan Identifikasi Potensi Pengembangan Agrowisata Berbasis Partisipasi Masyarakat di Desa Tirtomulyo, Kretek, Bantul, Yogyakarta“. Agrokreatif: Jurnal Ilmiah Pengabdian kepada Masyarakat 7, Nr. 2 (07.06.2021): 122–30. http://dx.doi.org/10.29244/agrokreatif.7.2.122-130.
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Tirtomulyo Village is located enroute the Parangtritis Beach, which is one of the main tourist destinations in the Bantul Region of Yogyakarta. This village has the potential to develop into an agro-tourism area based on the natural resources and community participation. Presently, community-based agro-tourism is being developed in this area through the Gadjah Mada University Assisted Village program. Therefore, this programme aims to 1) Identify the potential of natural resources and village landscapes; 2) Increase community participation in developing villages; and 3) Empower natural resources and village communities for agro-tourism development. Data were obtained from community participation-based agro-tourism planning using the Business Model Canvas (BMC) method and the Training on Trainer system from June to October 2020. Furthermore, during the Covid 19 pandemic, tourism education was carried out using an online method such as Google meet and whatsapp group platforms. The implementation of the direct meeting program (offline) was limited due to health protocol. Potential identification carried out by the community in 15 hamlets of Tirtomulyo Village shows the potential for natural resource attractions based on local wisdom consisting of natural resources, yards (pekarangan), cultural table 1dance, handicrafts, culinary, and fisheries. The result showed that online and offline discussions and the making of BMC posters are some of the efforts used in building villages for agro-tourism development. Furthermore, various natural resources as the potential of agro-tourism attractions have started to be empowered, including plant nurseries in the yard (pekarangan), peanut brittle, gula semut, and banana weevil chips well as a homestay. Therefore, the coordination of the inter-hamlet agro-tourism program at the village level still needs to be improved.
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Liu, Yongwei, und Wang Liao. „Spatial Characteristics of the Tourism Flows in China: A Study Based on the Baidu Index“. ISPRS International Journal of Geo-Information 10, Nr. 6 (03.06.2021): 378. http://dx.doi.org/10.3390/ijgi10060378.
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The characteristics of information flow, as represented by the Baidu index, reflect the pattern of tourism flows between different cities. This paper is based on the Baidu index and applies the seasonal concentration index and social network analysis (SNA) methods to study the spatial structure characteristics of tourism flows in China. The results reveal that: (1) both the search volume of the Baidu index in different cities and the online attention to different scenic areas exhibit obvious spatial heterogeneity and seasonal differences; (2) regions with strong tourism flow connections mainly occur in the areas between metropolises or among the inner cities of urban agglomerations, which are largely distributed on the southeast side of the Heihe–Tengchong Line; (3) the development of the whole tourism flow network in China is low, with an unbalanced development between tourism supply and demand, indicating that tourism resources are concentrated in a few cities and that most of the information interaction among cities occurs in core areas, while a weak interaction is observed in peripheral areas; (4) cities like Beijing and Wuhan attain obvious advantages in regard to their tourism resources, whereas other cities, including Beijing, Shanghai, Shenzhen and Guangzhou, exhibit a high demand for tourism. Moreover, tourism information flow networks are concentrated in several cities with an important role in the Chinese urban system, such as Beijing, Wuhan, and Chengdu, because they contain abundant tourism resources, well-developed transportation systems and advanced economic and societal development levels. (5) Cities such as Beijing, Lhasa, Wuhan, and Zhengzhou possess numerous advantages due to structural holes, and they thus occur at an advantageous position in the tourism flow network.
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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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Mo, Jianghong, und Fei Ren. „Analysis on the Countermeasures of Optimizing Urban Tourism Public Service System under the Background of Smart City“. Complexity 2021 (26.02.2021): 1–13. http://dx.doi.org/10.1155/2021/6642404.
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At present, there are problems in the construction of the tourism public service system such as poor coordination and coordination among various departments, lack of resource integration mechanism, and low level of information of tourism public services. Therefore, by analysing the problems existing in the tourism public service system in the context of smart cities, this paper puts forward strategies to optimize the tourism public service system. First, we build a smart tourism public service system platform for overall development and optimize the tourism public service platform. Secondly, by focusing on the behaviour of tourists, we construct a big data analysis and management system for the behaviour of smart tourism tourists. Finally, for the traffic situation in the process of tourism, a smart traffic line network based on pheromone ant colony is constructed. The results of the questionnaire survey on tourists show that the optimized public service system platform has achieved great satisfaction.
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Origlia, Antonio, Silvia Rossi, Sergio Di Martino, Francesco Cutugno und Maria Laura Chiacchio. „Multiple-source Data Collection and Processing into a Graph Database Supporting Cultural Heritage Applications“. Journal on Computing and Cultural Heritage 14, Nr. 4 (31.12.2021): 1–27. http://dx.doi.org/10.1145/3465741.
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The continuous growth of available resources on the web, both in the form of Linked Open Data and on Social Networks, provides an important opportunity to gather information concerning specific kinds of touristic activities like, for example, cultural tourism, eco-tourism, bike-tourism, and so on. Both decision makers and tourists can take advantage from these data, as demonstrated by previous works, with institutional actors foreseeing an increase in the use of this data to substitute other time-consuming and expensive approaches. However, managing multiple sources built with different goals and structures is not straightforward, so specific design choices must be made when assembling this kind of information. Graph databases represent an ideal way to combine multiple-source data but, to be successful, strategies accounting for inconsistencies and format differences have to be defined to support coherent analysis. Also, the continuously changing nature of crowd-sourced data makes it difficult, for the research community, to compare technological approaches to the different tasks that are linked to cultural heritage, from recommendation to management. To support the research effort in this direction, we describe the data ingestion and enrichment procedure we followed to organise knowledge coming from three different sources, namely Wikidata, Wikipedia, and Flickr, into a single, application-oriented, resource organised as a graph database. We present the potential use of this resource to perform multiple source analyses targeting the specific case of cultural tourism on a nationwide scale, and we propose its use as a shared benchmark for technological applications designed to support optimal management of cultural resources.
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Zhao, Ying, Qinghua Zhu und Jiujun Bai. „Fuzzy Neural Network-Based Evaluation Algorithm for Ice and Snow Tourism Competitiveness“. Complexity 2021 (23.04.2021): 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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Zheng, Benxia, Zheng Mei, Liangyu Hou und Shuoli Qiu. „Application of Internet of Things and Edge Computing Technology in Sports Tourism Services“. Security and Communication Networks 2021 (29.05.2021): 1–10. http://dx.doi.org/10.1155/2021/9980375.
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Aiming at the problems of long retrieval time of sports tourism data, high integration error of sports tourism data, and high energy consumption of sports tourism service management in traditional methods, the application of Internet of Things and edge computing technology in sports tourism services is proposed. We established a sports tourism service application model based on Internet technology to realize the functions of sports tourism service internal management control, external collaboration, and information release. We calculated the similarity of sports tourism resources from the two levels of feature words and the environment where the sports tourism resources are located. According to the calculation results, the edge computing method is used to realize the integration of sports tourism service resources to improve the application effect of sports tourism service application models. The experimental results show that the minimum data retrieval time of the proposed method is only 2.35s. The sports tourism data fusion error is low. The management energy consumption is small, which significantly improves the existing problems and fully verifies the practical application value of the method.
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HU Xiaotao. „The Application of GIS Technology in Tourism Resources Management“. International Journal of Digital Content Technology and its Applications 7, Nr. 3 (15.02.2013): 308–14. http://dx.doi.org/10.4156/jdcta.vol7.issue3.39.
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Li, Xue. „Research on tourism industrial cluster and information platform based on Internet of things technology“. International Journal of Distributed Sensor Networks 15, Nr. 7 (Juli 2019): 155014771985884. http://dx.doi.org/10.1177/1550147719858840.
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With the continuous development of Internet of things technology, the tourism industry cluster based on the Internet of things platform has gradually formed, and the resource integration mechanism of industrial clusters under the Internet of things platform has gradually become a research hotspot. Starting from the theory of niche research in tourism industry cluster, this article improves the mode of industrial clusters through the Internet of things platform. Then, combining resource integration game model, the resource integration mechanism of Internet of things tourism industry cluster is formed. Relying on the information management model of the Internet of things industry, the information platform of industrial clusters is constructed, and the simulation research is carried out by MATLAB. The results show that the overall industrial income generated by the resource allocation mechanism under the Internet of things platform is better than that under the traditional resource allocation mechanism, and the resources integration of tourism industry cluster under the Internet of things platform is achieved, which provides a theoretical basis.
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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 (Februar 2021): 103567. http://dx.doi.org/10.1016/j.micpro.2020.103567.
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Zhou, Jinyu. „Statistical Research on the Development of Rural Tourism Economy Industry under the Background of Big Data“. Mobile Information Systems 2021 (09.09.2021): 1–11. http://dx.doi.org/10.1155/2021/9152173.
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China is rich in rural tourism resources. In recent years, rural tourism has been the focus of tourism development in various regions, which has greatly promoted the development of rural economy. But at the same time, low efficiency, unreasonable development, and homogeneous tourism environment have affected rural tourism and reduced the competitiveness of rural tourism. In order to explore innovative ideas and countermeasures for the development of “big data + rural tourism,” improve the development of rural tourism economy and industry, and improve the competitiveness of rural tourism, based on related researches on rural tourism, tourism competitiveness, coordination, etc., starting from the particularity of the rural tourism system, this paper proposes the use of coordination and coupling theory to analyze the status quo of rural tourism economic industry in a certain place in Jiangxi. The interaction of efficiency and competitiveness of rural tourism, such as infrastructure, has been studied in depth. The study found that, in rural tourism, efficiency and competitiveness are positively related. The higher the environmental index, the stronger the competitiveness. When the environment and competitiveness are coordinated, the economic benefits that can be created are about 30% higher than normal. This shows that, for rural tourism to develop better, it is an indispensable condition for the coordination of competitiveness and the environment.
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Peng, Hui. „Annotating Tourism Resources with Social Tags and Classifying them with Bayesian Algorithm“. International Journal of u- and e- Service, Science and Technology 9, Nr. 5 (31.05.2016): 419–28. http://dx.doi.org/10.14257/ijunesst.2016.9.5.38.
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STAVSKA, Yulia. „THE DIRECTIONS OF INNOVATIVE CHANGES IN THE DEVELOPMENT OF TOURISM IN UKRAINE“. "EСONOMY. FINANСES. MANAGEMENT: Topical issues of science and practical activity", Nr. 2 (42) (Februar 2019): 45–57. http://dx.doi.org/10.37128/2411-4413-2019-2-4.
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In the context of globalization, the sphere of tourism becomes more and more important, since it is one of the most profitable and dynamic branches of the world economy of the country. Tourism contributes to the growth of employment, accelerates the diversification of the economy, because this sphere covers more than 50 branches of the national economy, therefore the innovation of the tourist sphere should become its constant component. In addition, tourism not only preserves, but also develops the cultural potential of the country and the population, harmonize relations between different peoples and contributes to the friendly use of the environment. Indicators of its profitability indicate the importance of tourism for the development of economy, namely: 8% of world exports and 30% of world services sales, as well as annual growth of world tourist flows by 4-5%. However, Ukraine loses significantly in the competition, lagging behind the leading countries of the world in terms of development of tourist infrastructure and the quality of tourist services. Financial and economic crisis that has been continuing in recent years, the events associated with annexation of the Autonomous Republic of Crimea and anti-terrorist operation on the territory of Donetsk and Luhansk regions had a negative impact on the tourism flows, the tourism structure and tourist opportunities of the country both on the domestic and the external tourism market. In addition, Ukrainians have recently received the possibility of visa-free travel to the countries of the European Union, which will also lead to the increase in outbound tourism, and a reduction in the entrance. In this regard, it is necessary to introduce innovations in the development of tourism in Ukraine in order to attract visitors. Innovation in tourism "involves developing an original approach, developing new ways to use existing resources while seeking new ones";. Typization of innovation in tourism is developed by Abernathy and Clark, who distinguish 4 types of innovations: regular, niche, revolutionary and architectural. Regular innovations refer to the continuous improvement of the quality of services, the improvement of personnel skills and productivity. Niches innovations usually change the structure of cooperation, but not basic knowledge and skills; they combine existing services in a new way. Revolutionary innovations are associated with the use of new technologies in firms, the development of new methods; they have a radical impact on the key knowledge and skills of the staff up to the appearance of new occupations in the sector. Architectural innovations change the structure, business model and rules in tourism; they create new events and objects that require reorganization, chang physical or institutional infrastructure, research and training facilities. One of the main directions of innovation is the development of sustainable tourism. Destination (tourist areas) are beginning to create a management system for tourism resources and use them in the planning of territorial development. Recently, it became clear that the directions of innovation in tourism are increasingly becoming a systemic nature, when tourism turns from the industry into a "public enterprise";, which involves a variety of institutional stakeholders: government, business, local communities, science and education. At the same time, the remarkable thing is that the more the system of tourism management varies from industrial to post-industrial, the greater the innovative potential has the sphere of tourism, the greater the extent of tourism shifts from mass to individualized. This is due to the smaller segmentation of the market and the emergence of many niche, specialized services and tourist products. There is adaptation of tourism infrastructure, buildings and equipment for the needs of such new, growing groups of tourists as children, the elderly and the disabled. The innovations in the tourism industry, according to Novikov V.S., “are the result of actions aimed at creating a new or changing existing tourist product, developing new markets, using advanced information and telecommunication technologies, improving the provision of tourist, transport and hotel services, creating strategic alliances for realization of tourist business, introduction of modern forms of organizational and managerial activity of tourist enterprises”. In general, tourism is a multi-vector industry, which can create some difficulties in introducing innovations. At the same time, certain areas of tourism activity are impossible without the use of innovative technologies, in particular, information and computer technologies. Effective administrative work of tourism enterprises involves the application of various facilities, as Ukrainian travel agencies are widely using the information sector, in the form of messages, and the virtual sector of travel in global networks. Studies conducted in the field of tourism demonstrate the "consumer nature" of information innovation, while tourism is not a producer in this field. According to preliminary estimates, the cost of the initiative tour operators in Ukraine for maintaining an on-line booking system is about 2% of the cost of services sold. Sales of entertainment and recreation tours provide about 3.3 million dollars. US annually spent money on developing, maintaining and filling in the information support system. Common directions of the use of innovative technologies in tourism are: mobile Internet, catalogs of electronic offers, on-line booking not only for retail agencies, but also directly for clients. Further development of innovation activity is the development of new ideas for promotion of tourist product, development of new tourist routes, availability of information to the consumer, software, etc.
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Sun, Dayong, und Yibing Xiao. „Evaluation Method of Resource Development Effect of Cultural Industry Based on Wireless Sensor Technology“. Mobile Information Systems 2021 (13.07.2021): 1–8. http://dx.doi.org/10.1155/2021/9495371.
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To overcome the problems of low evaluation accuracy and efficiency existing in traditional resource development efficiency evaluation methods, this paper proposes a new evaluation method of cultural industry tourism resource development effect based on wireless sensor technology. The method takes into account the data of cultural industry resource development collected by the wireless sensors and transmits it to the computer system by wireless transmission technology. Based on the collected development data, the evaluation index system is constructed and the index weight is calculated. Furthermore, the multiobjective weighted function is employed to calculate the development effect evaluation score and complete the evaluation of cultural industry resources development effect. Experimental results show that the proposed method can successfully improve the evaluation accuracy and efficiency, and the highest evaluation accuracy is stable at 98%. Therefore, this method has high reliability.
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Lado-Sestayo, Rubén, und Milagros Vivel-Búa. „Hotel profitability: a multilayer neural network approach“. Journal of Hospitality and Tourism Technology 11, Nr. 1 (27.05.2019): 35–48. http://dx.doi.org/10.1108/jhtt-08-2017-0072.
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Purpose The purpose of this paper is to design an algorithm to predict hotel profitability by means of deep learning techniques. Design/methodology/approach The methodology consists of a multi-layered neural network that includes a lag of profitability as the input. Furthermore, other input variables are related to hotel and tourist destinations; the raw data for hotel and tourist destinations were collected from multiple public access data sources. Findings The results show that the proposed model has a high predictive capacity of hotel profitability in all the years studied (2005-2011), according to the performance metrics evaluated within the sample. Thus, the authors can conclude that deep learning algorithms can be a useful tool to evaluate hotel performance. Practical implications The algorithm designed in this research could be of interest to improve decision-making processes related to profitability, for example, in evaluating the creation of new hotels. Moreover, the model provides a quick and efficient analyses that could be of interest to investors and lenders. In particular, they could compare investment alternatives in the hotel sector. Also, according to the results, the location variables are important determinants of hotel profitability, and consequently, hotel managers should collaborate with the tourist destination managers to improve profitability. From an internal perspective, hotel managers should focus on the management of human resources. Originality/value This paper is the first empirical study that predicts hotel profitability using deep learning techniques. In addition, this methodology is applied to analyse hotel profitability, for the first time, in the Spanish market. This market is an ideal analytical framework because of its heterogeneity with respect to hotel supply in terms of seasonality and coastal characteristics, among others.
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Wang, Yong, und Guobin Hou. „Development of Island tourism resources based on distributed database and embedded system“. Microprocessors and Microsystems 81 (März 2021): 103752. http://dx.doi.org/10.1016/j.micpro.2020.103752.
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Bao, Chunyu. „FPGA processor and visual keyword matching to optimize feature recognition of tourism resources“. Microprocessors and Microsystems 80 (Februar 2021): 103624. http://dx.doi.org/10.1016/j.micpro.2020.103624.
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Bi, Wei, und Guangming Wang. „Local Cultural IP Development and Cultural Creative Design Based on Big Data and Internet of Things“. Mobile Information Systems 2021 (19.04.2021): 1–9. http://dx.doi.org/10.1155/2021/5521144.
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Relying on the development of cultural tourism resources and the development of cultural tourism industry to achieve regional industrial revitalization is an important way of implementing postdisaster reconstruction in areas suffering from major natural disasters. To this end, this article proposes a local cultural IP development and cultural creative design method based on big data and the Internet of Things to explore new ideas for postdisaster reconstruction in such areas. First, we collect traditional and modern cultural element data and carry out data cleaning and processing through the Internet of Things. Second, we use data mining to perform multilayer collaborative processing on regional cultural data based on ontology modeling and tensor decomposition. Based on our approach, local cultural categories can be effectively screened and filtered out. Finally, we establish a cultural IP development model based on the Internet of Things and verify the validity and applicability of the model through system testing and simulation analysis.
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Al-Maroof, Rana Saeed, Iman Akour, Rose Aljanada, Aseel M. Alfaisal, Raghad M. Alfaisal, Ahmad Aburayya und Said A. Salloum. „Acceptance determinants of 5G services“. International Journal of Data and Network Science 5, Nr. 4 (2021): 613–28. http://dx.doi.org/10.5267/j.ijdns.2021.8.006.
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5G is a revolutionary development in network technologies which is gradually becoming very common among people contributing significantly in different fields such as education, industry, agriculture, health, tourism and military. Currently, 5G is an outbreak change as opposed to the traditional service of the Internet since it offers better quality, ultra-fast connection, low-cost, reduced latency, energy saving, which makes its great impact even greater in people’s life. The present study examines various factors that have a significant impact on the Use of 5G in the Gulf area. The study extended the TAM (Technology Acceptance Model) to include factors such as Perceived Enjoyment, Perceived Resources and Perceived Skills Readiness. The present research has adopted a hybrid model that incorporates TAM determinants with other external factors which have a direct relation with 5G as internet service. Previous studies have focused on the importance of 5G in different environments and countries. However, this study focuses on the newly spread Use of 5G in the gulf area by adopting a hybrid conceptual model. The findings suggest that 5G may help in promoting the usage of internet service more effectively with its low-cost, faster data transfer and better quality. Moreover, the findings indicate a positive effect of the gender as a mediator between the variables: Perceived Skills Readiness, Perceived Ease of use, and Perceived Resources.
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He, Bing, Kang Liu, Zhe Xue, Jiajun Liu, Diping Yuan, Jiyao Yin und Guohua Wu. „Spatial and Temporal Characteristics of Urban Tourism Travel by Taxi—A Case Study of Shenzhen“. ISPRS International Journal of Geo-Information 10, Nr. 7 (30.06.2021): 445. http://dx.doi.org/10.3390/ijgi10070445.
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Tourism networks are an important research part of tourism geography. Despite the significance of transportation in shaping tourism networks, current studies have mainly focused on the “daily behavior” of urban travel at the expense of tourism travel, which has been regarded as an “exceptional behavior”. To fill this gap, this study proposes a framework for exploring the spatial and temporal characteristics of urban tourism travel by taxi. We chose Shenzhen, a densely populated mega-city in China with abundant tourism resources, as a case study. First, we extracted tourist trips from taxi trajectories and used kernel density estimation to analyze the spatial aggregation characteristics of tourist trip origins. Second, we investigated the spatial dependence of tourist trips using local spatial autocorrelation analysis (Getis-Ord Gi*). Third, we explored the correlations between the tourist trip origins and urban geographic contextual factors (e.g., catering services and transportation facilities) using a geographically weighted regression model. The results show the following: (1) the trends between the coverage of tourist travel networks and the volume of tourist trips are similar; (2) the spatial interaction intensity of urban tourism has grouping and hierarchical characteristics; and (3) the spatial distribution of tourist trips by taxi is uneven and influenced by the distribution of urban morphology, tourism resources, and the preferences of taxi pick-up passengers. Our proposed framework and revealed spatial and temporal patterns have implications for urban tourism traffic planning, tourism product development, and tourist flow control in tourist attractions.
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Li, Guoming, Binbin He, Liang Li, Miao Yang, Qiongyi Huang und Zihan Guo. „Ecological Functions and Human Activity Interference Evaluation in Ecological Protection Redline for Urban Environment“. Photogrammetric Engineering & Remote Sensing 87, Nr. 6 (01.06.2021): 413–20. http://dx.doi.org/10.14358/pers.87.6.413.
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The influences of ecological protection redlines on urban sustainable development can significantly vary from place to place with distinct ecological functions and human activity interference. However, recent research lacks the evaluation of ecological functions and human activity interference in ecological protection redline areas near urban areas. This article presents an evaluation method consisting of two evaluation criteria systems: an ecological function evaluation criteria system based on conserving water resources and soil and maintaining biodiversity and a human activity interfer- ence evaluation criteria system based on the human activity impact index, population and road network density, and the intensity of tourism activity and livelihood sewage discharge. This evaluation method was verified in Zoige County, China, by using remote sensing data to evaluate ecological functions and human activity interference in the ecological redline area for an urban environment. This evaluation method is one of the preliminary studies of urban sustainable develop- ment planning, and the result could provide a basis for the formulation of urban sustainable development strategy.
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Qu, Xingfu, und Fanqi Zhu. „Construction of Rural Cultural Service System Based on Mobile Information System“. Mobile Information Systems 2021 (03.09.2021): 1–13. http://dx.doi.org/10.1155/2021/7030656.
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At present, the development of rural culture is gradually rising. Under the promotion of the sense of freedom and democracy, mobile information system also plays an important role in rural cultural services. This paper uses edge algorithm to build mobile information system, combined with rural cultural service elements, to carry out information construction for the people’s needs of tourism, information, and belief culture in the development of rural China. In this paper, with the county or township service projects as the research content and 200 residents of a community as the research object, using the way of questionnaire to survey the respondents, online questionnaire feedback results received 186, the effective rate of 93%. This paper investigates the project support of mobile information system for rural cultural services and the satisfaction degree of residents’ demand for various cultural resources. Research shows that the rural cultural service system based on mobile information system can improve the scope of cultural services. From the survey results, 65.53% of the people think that the cultural service system can reduce people's dependence on special cultural services, so as to obtain resources from the diversified information service system. 35.63% of the people said that the efficiency of cultural service system could be improved by more than 50% compared to that of offline cultural service. Others said that the rural cultural service system could basically meet their living needs. Therefore, whether from the perspective of cultural service or information system, the current rural cultural service mode and service process need to be constructed from the perspective of cultural service supply system reform.
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Wang, Tianyang. „An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations“. Complexity 2021 (18.03.2021): 1–11. http://dx.doi.org/10.1155/2021/5520223.
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Hospitality industry plays a crucial role in the development of tourism. Predicting the future demand of a hotel is a key step in the process of hotel revenue management. Hotel passenger flow prediction plays an important role in guiding the formulation of hotel pricing and operating strategies. On the one hand, hotel passenger flow prediction can provide decision support for hotel managers and effectively avoid the waste of hotel resources and loss of revenue caused by the loss of customers. On the other hand, it is the guarantee of the priority occupation of business opportunities by hotel enterprises, which can help hotel enterprises adjust their operation strategies reasonably to better adapt to the market situation. In addition, hotel passenger flow prediction is helpful to judge the overall operating condition of the hotel industry and assess the risk level of the hotel project to be built. Hotel passenger flow is affected by many factors, such as weather, environment, season, holidays, economy, and emergencies, and has the characteristics of complex nonlinear fluctuation. The existing demand predicting methods include linear methods and nonlinear methods. The linear prediction methods rely on the stability of environment and time series, so they cannot completely simulate the complex nonlinear fluctuations characteristics of hotel passenger flow. Traditional nonlinear prediction methods need to improve the prediction accuracy, and they are difficult to deal with the increasing data of hotel passenger flow. Based on the above analysis, this paper constructs a deep learning prediction model based on Long Short-Term Memory (LSTM) to predict the number of actual monthly arrival bookings. The number of actual monthly arrival bookings can reflect the actual monthly passenger flow of a hotel. The prediction model can effectively reduce the loss caused by cancellation or nonarrival of bookings due to various reasons and improve the hotel revenue. The experimental part of this paper is based on the booking demand dataset of a resort hotel in Portugal from July 1, 2015, to August 31, 2017. Artificial neural network (ANN) and support vector regression (SVR) are built as benchmark models to predict the number of actual monthly arrival bookings of this hotel. The experimental results show that, compared with the benchmark models, the LSTM model can effectively improve the prediction ability and provide necessary reference for the hotel's future pricing decision and operation mode arrangement.
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Qiu, Qihang, und Mu Zhang. „Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media“. ISPRS International Journal of Geo-Information 10, Nr. 4 (07.04.2021): 240. http://dx.doi.org/10.3390/ijgi10040240.
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The industry of intangible cultural heritage (ICH) tourism continues to grow, and social media can serve as an essential tool to promote this trend. Although ICH tourism development is outstanding in China, the language structure and restricted use of social media render ICH difficult for non-Chinese speakers to understand. Using content analysis, this study investigates the structure and relationships among cognitive elements of ICH tourism based on 9074 blogs posted between 2011 and 2020 on Weibo.com, one of the most popular social media platforms in China. The main analysis process consisted of matrix construction, dimension classification, and semantic network analysis. Findings indicated that the cognitive image of ICH tourism on social media can be divided into seven dimensions: institutions, ICH and inheritors, tourism products, traditional festivals and seasons, tourism facilities and services, visitors, and regions. This network vividly illustrates ICH tourism and depicts the roles of organizers, residents, inheritors, and tourists. Among these elements, institutions hold the greatest power to regulate and control ICH tourism activities, and folklore appears to be the most common type of ICH resource that can be developed into tourism activities. Practically, the results offer insight for policymakers regarding ways to better balance the relationships among heritage protection, the business economy, and people’s well-being. Such strategies can promote the industrialization of ICH tourism. In addition, through content analysis, this paper confirms the effectiveness of social media in providing a richer understanding of ICH tourism.
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LAM, TOBY H. W., JAMES N. K. LIU und RAYMOND S. T. LEE. „MASTER: AN INTELLIGENT ONTOLOGY-BASED MULTI-AGENT SYSTEM FOR SIGHTSEER“. International Journal of Software Engineering and Knowledge Engineering 19, Nr. 02 (März 2009): 137–57. http://dx.doi.org/10.1142/s021819400900412x.
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Recently, semantic web has received substantial attention from the research community. Semantic web aims to provide a new framework that can enable knowledge sharing and reusing. Semantic web is a collection of web technologies that include a number of markup languages such as RDF, OWL and RDFS. These markup languages are used for modeling a domain ontology. By using ontology to model resources, humans and computers (software agents) can have a consensus on the resource structure. The use of these technologies allows the creation of a more effective web search system. In this paper, we modeled travel domain ontology by using Web Ontology Language (OWL). Instead of inviting an expert to model the ontology, we created the travel ontology by collecting and analyzing the structural information from a number of travel related websites. Besides, we implemented an intelligent ontology-based Multi-Agent System for sighTseER (MASTER), which is constructed by using semantic web technologies. MASTER integrates Global Positioning System (GPS), ontology and agent technologies to support location awareness for providing the precise navigation and classify the tourist information for the users. The system was tested on 30 novice users. 83% of the users felt that the system can help tourists find tourist information in Hong Kong.
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Huang, Yao Zhi, und Chao Jun Chen. „Ecological Integration of New Ideas for Urban Tourism Space Resources — Nanning Watertown Tourism Space Resources Integration“. Advanced Materials Research 368-373 (Oktober 2011): 1889–94. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.1889.
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Nanning proposed to create "water city with Chinese characteristics” in 2009, so how to use its unique Subtropical landscape resources, integrating Nanning tourism space for promoting tourism feature and culture, which is main task of Nanning. This article will utilize landscape ecology tourism to study Nanning city, the city tourism landscape space could be analyzed by during such process, Nanning Watertown tourism development will enter new stage, water is axis, along the tourism resources and landscape could be analyzed and systematical connected for forming Eco-tourism network, which can provide reference and guidance for Nanning tourism space resources integration.
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Goffe, William L. „Computer Network Resources for Economists“. Journal of Economic Perspectives 8, Nr. 3 (01.08.1994): 97–119. http://dx.doi.org/10.1257/jep.8.3.97.
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This paper outlines resources for economists on the Internet, the large and very rapidly expanding computer network that is revolutionizing research in many fields. Even at this early stage, there are a number of very useful resources (such as large databases and mailing lists) for economists. Directions are given on how to retrieve the complete and current list of resources for economists, and the paper also contains a minimal set of directions on how to use the Internet. References are also given to more detailed general guides on the Internet.
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Jiang, Xue, Xiaoya Song, Hongyu Zhao und Haoran Zhang. „Rural Tourism Network Evaluation Based on Resource Control Ability Analysis: A Case Study of Ning’an, China“. Land 10, Nr. 4 (16.04.2021): 427. http://dx.doi.org/10.3390/land10040427.
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Organization of rural tourism resources is important for optimizing rural land use based on rational resource classification. Quantitative analysis was performed to evaluate the resource control ability of rural tourism networks. This was achieved by determining the resource control relationship and assessing the structure of the rural tourism network. The ability of resource control was analyzed via resource abstraction, which included the extraction of resource nodes and corridors, control scope analysis, and network structure level evaluation. The proposed approach was applied to the Ning’an in Heilongjiang Province, China, and proved to be effective for exploring the network degree and development trends in rural tourism resources. By examining the resource control ability, the spatial characteristics and development trend in rural tourism networks were quantitatively analyzed, especially the connection mode of key tourism resources, network structure analysis, and resource linking ability. The core resources showed a lack of outward ability in the network, and the secondary resource expansion ability was limited. Via resource control ability analysis, this study focused on areas with rich tourism but an unbalanced spatial structure, combining the directional characteristics of the network to provide suggestions for the optimization rural tourism resources network in other regions of the world.
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KC, Birendra, Duarte B. Morais, M. Nils Peterson, Erin Seekamp und Jordan W. Smith. „Social network analysis of wildlife tourism microentrepreneurial network“. Tourism and Hospitality Research 19, Nr. 2 (30.06.2017): 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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Hsu, Cathy H. C., Zhaoping (George) Liu und Songshan (Sam) Huang. „Acquiring Intangible Resources through Entrepreneurs’ Network Ties“. Cornell Hospitality Quarterly 56, Nr. 3 (09.01.2014): 273–84. http://dx.doi.org/10.1177/1938965513518659.
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Baggio, Rodolfo, und Matthias Fuchs. „Network science and e-tourism“. Information Technology & Tourism 20, Nr. 1-4 (12.11.2018): 97–102. http://dx.doi.org/10.1007/s40558-018-0125-8.
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Bura, Aman, und Yang Dacheng . „GPRS Network Resources Optimization“. Information Technology Journal 5, Nr. 5 (15.08.2006): 970–75. http://dx.doi.org/10.3923/itj.2006.970.975.
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Bishop, Michael P., Roger M. Hubbard, James L. Ward, Mark S. Binkley und Thomas K. Moore. „Computer Network Resources for Physical Geography Instruction“. Journal of Geography 92, Nr. 3 (Mai 1993): 102–9. http://dx.doi.org/10.1080/00221349308979632.
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Ryzhenko, Leonid I., und Marina Y. Sheresheva. „The Siberian Trakt – a project that forms a tourism network“. Worldwide Hospitality and Tourism Themes 10, Nr. 4 (13.08.2018): 487–97. http://dx.doi.org/10.1108/whatt-04-2018-0025.
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Purpose This paper aims to explain the development of the Siberian Trakt (Siberian Way) project and discuss methodological, instrumental and technological questions related to its implementation. The paper also aims to explore the project’s ability to form a collaborative tourism network that boosts tourism development in the unique Siberian regions of Russia located in the very center of the Eurasian continent. Design/methodology/approach A multidisciplinary view and case approach are the basic methods chosen to illustrate and analyze the prospects for tourist network development in Siberia within the framework of the Siberian Trakt project. Findings The findings reveal the opportunities arising from the project. The Siberian Trakt helps to combine the resources of surrounding territories, brings over external resources to the investment foundations of the project and thus adds to the development of settlements that are participants in the project. Originality/value The main output of this paper is confirmation of useful approaches in tourism network development along the Siberian Trakt, which historically connected Central Russia with Siberia and the Far East. On the basis of the experience of the Siberian Trakt project, the problems and prospects of Siberia as new tourism destinations are shown, as well as the role of small settlements as important nodes of the regional tourism network.
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PHOOCHINDA, Wisakha. „Development of Community Network for Sustainable Tourism based on the Green Economy Concept“. Journal of Environmental Management and Tourism 9, Nr. 6 (03.02.2019): 1236. http://dx.doi.org/10.14505//jemt.9.6(30).13.
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The “Green Economy” concept is a tool that leads to the guideline to develop sustainable economy in parallel with social development, quality of life, and the balanced conservation of natural resources and the environment (Office of Agricultural Economics, 2013). The concept of economic development leading to sustainable development or Green Economy is a concept of business operation based on low carbon emission, reduction of energy consumption, promotion of efficient use of resources, leading to business growth, social development, reduced destruction of the environment and the ecosystem diversity.
Tourism is a form of service business that is crucial to Thailand’s economic and social development. It has high potential to accommodate free trade and demand of global market in accordance with the National Economic and Social Development Plans. Moreover, it generates employment and income from foreign currency. However, if the rapid growth of tourism lacks good management, the environment will be directly affected. For example, energy consumption in communication and transport sectors, trips, hotel rooms, as well as garbage and waste from tourism activities. Tourism industry consists of numerous types of business, including direct, indirect, and supporting businesses, service purchased by both Thai and foreign tourists, leading to spending flows that benefit many jobs, and social stability at communal, local, and national levels (Chantouch Wannathanom 2009, 101). It illustrates the role of community tourism in generating widespread employment and occupation such as local handicrafts, agricultural and natural resources-based products, to stimulate production and maximum use of the country’s resources. At present, the government has formulated clear policy to promote and support tourism with directly responsible agencies at regional, national, and particularly community levels. The agencies with important role in community tourism include provincial administrative organizations, sub-district administrative organizations or municipalities, and community enterprises. Moreover, local administrative organizations and especially community enterprises also have the authority, duty, and role to promote and manage tourism leading to the development of sustainable tourism. Therefore, the good management of tourism business should grow in parallel with efficient environmental management from all relevant sectors especially community tourism. The management starts from small units including people, community leaders, local administrative organizations, and community enterprises. It will succeed if all stakeholders possess appropriate knowledge, if tourism development is aligned with strategic plans on provincial development, development plans of local administrative organizations, and implementation plans derived from joint planning, cooperation, awareness and conscience of community, organizations in community, and community enterprises. The community enterprises supporting Thailand’s tourism activities are scattered in all regions in the form of grouping of local wisdom, community culture, raw materials, or various resources to increase value added of products and services to generate income to the community. The management of community network for sustainable tourism based on the Green Economy is to study potentials and limitations of Thailand’s tourist destinations, role of participation of community network from tourism management, analyze knowledge and impact from operation, as well as recommendations of the guideline to develop sustainable tourism based on the Green Economy using the base of main resource which is community network allowing one to know about the context of preparedness, potentials, and limitations of community to manage tourism. The research will result in community network with systematic management, network format, or guideline to connect the network of stakeholders, resulting in management of sustainable tourism, and community’s self-reliance. Tourism entrepreneurs, both local and non-local, can use the information to develop tourist destinations in line with national policy. It also benefits those involved in formulation of policy, plans, or products for economic, social, and environmental development by the community in sustainable tourist destinations.
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Higham, James. „Development of Computer-Mediated Teaching Resources for Tourism Distance Education“. Journal of Teaching in Travel & Tourism 2, Nr. 2 (Juni 2002): 1–20. http://dx.doi.org/10.1300/j172v02n02_01.
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Macleod, Roderick A. „Network resources and access tools“. New Review of Information Networking 10, Nr. 1 (Mai 2004): 85. http://dx.doi.org/10.1080/13614570412331311996.
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MacLeod, Roderick A. „Network resources and access tools“. New Review of Information Networking 9, Nr. 1 (Januar 2003): 79–80. http://dx.doi.org/10.1080/1361457042000186921.
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Chen, Chi, Chao Chen und Xiao Long Sun. „Application of GIS Digital Technology in Planning of Tourism Scenic Spot“. Applied Mechanics and Materials 204-208 (Oktober 2012): 2796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2796.
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Rationalization of modern tourist scenic spot planning is very important to the development of the whole scenic area, and the rational planning of tourism resources of scenic area is based on the full development of resources, then making the systems be optimized in the scenic area. When applying GIS technology to urban tourism scenic spot, the distribution of tourism resources will be more reasonable. The application of GIS network analysis function on traffic planning and underground pipeline planning, which achieve programming optimization, and then doing three-dimensional visualization for network planning, clearly analysis the planning rationality. The superiority of GIS spatial analysis functions makes the tourist scenic spot planning optimization in low-cost, and also provides a good platform for the operation and management of scenic area.
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Wen, Zeng und Tang. „Sustainability and Resource Equilibrium Evaluation of a Tourism Traffic Network Based on a Tourism Traffic Matching Curve“. Sustainability 11, Nr. 20 (17.10.2019): 5769. http://dx.doi.org/10.3390/su11205769.
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The accompanying increased traffic due to the rapid development of tourism at present calls for the better sustainability and equilibrium of tourism and traffic resources in the future. In recent decades, considerable attention has been paid to highway network planning, while studies focusing on sustainable tourism traffic networks, especially evaluation methods of limited tourism and traffic resources, have proven less successful. Through conceptual transfer, we proposed the tourism traffic matching curve, which not only simplifies the method of sustainability and equilibrium evaluation, but also ensures that the results are more direct and effective. In the upper layer, we analyzed the main factors of tourism traffic network development, which contributed to a comprehensive benefit-oriented multi-objective model of tourism traffic network in MATLAB. In this model, the long-neglected tourism economy radiation effect was considered, and a genetic algorithm was introduced in the solution. In the lower layer, the characteristics of the tourism traffic matching curve and the two crucial equilibrium indexes, the Tourism Traffic Uniformity Coefficient (TLCU) and Curvature Coefficient (TLCC), were provided. With instances from Guangdong Province, the proposed system was proven to be more efficient and concise than other systems, which identified the need for future research on establishing effective criteria and a theoretical analysis method for dynamic adjustment.
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Coccossis, Harry. „Cultural heritage, local resources and sustainable tourism“. International Journal of Services Technology and Management 10, Nr. 1 (2008): 8. http://dx.doi.org/10.1504/ijstm.2008.020340.
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Hua, Huanhuan, und Amare Wondirad. „Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review“. Sustainability 13, Nr. 1 (30.12.2020): 285. http://dx.doi.org/10.3390/su13010285.
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This study analyzes tourism network in urban agglomerated destinations and puts forth implications for future sustainable development through a critical and extensive review of related literature. First of all, with a bibliometric analysis of 2670 selected articles from three research fields of urban tourism, urban agglomeration tourism and tourism destination network, we analyzed their respective research themes and classified them accordingly. Then, the study further investigates the role of tourism network in urban agglomerated destinations by identifying the differences and connections between urban agglomeration tourism and urban tourism. Finally, a basic architecture is established for the study of tourism networks in urban agglomerated destinations context. Study findings highlight that urban agglomeration tourism emphasizes the interconnectivity and social network relationships. However, research on the destination network of urban agglomerations is limited, especially from the tourism development perspectives. Therefore, the evolution process, structural effects, determinants and dynamic mechanisms of the tourism network in urban agglomerated destination are among the opportunities for future research. Moreover, the research architecture shows that the network relationship emerges as a new direction for the study of urban agglomeration system to better integrate and harness destinations’ resources and thereby promote sustainable development in urban agglomerated areas.
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GRETZEL, ULRIKE, und DANIEL R. FESENMAIER. „IMPLEMENTING A KNOWLEDGE-BASED TOURISM MARKETING INFORMATION SYSTEM: THE ILLINOIS TOURISM NETWORK“. Information Technology & Tourism 6, Nr. 4 (01.01.2003): 245–55. http://dx.doi.org/10.3727/1098305032781175.
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Weigeng, Shi. „Reconnectable network with limited resources“. Journal of Computer Science and Technology 6, Nr. 3 (Juli 1991): 243–49. http://dx.doi.org/10.1007/bf02945511.
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Casanueva, Cristobal, Angeles Gallego und Maria Angeles Revilla. „Access and mobilization of network resources and competitive advantage in hotels“. International Journal of Contemporary Hospitality Management 27, Nr. 6 (10.08.2015): 1279–300. http://dx.doi.org/10.1108/ijchm-03-2013-0144.
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Purpose – This paper aims to advance a model that will explain how hotel firms access and mobilize external resources. Hotel operators and firms need to complement their internal resources with external resources, which they can access through their personal and organizational ties, so as to compete and to achieve success. Design/methodology/approach – A framework is proposed, on the basis of the resource-based view and network theory, to explain the process of access and mobilization of available external resources thanks to the professional and social ties of the managers of hotel firms. Findings – This framework distinguishes between access to network resources and their mobilization. This paper introduces network resource mobilization capability as an adaptive capability of managers and employees that can improve hotel firm performance. Previous experience and contextual factors such as the type of property and the management style all influence the nature of this capability. Practical implications – This work proposes a repertory of relevant resources in hotels and the preparation of an instrument to measure access to those resources and their mobilization through social capital. It also proposes the need to develop a new dynamic capability: the capability to mobilize network resources in hotel firms through their managers. Finally, it proposes that social capital is a valuable resource for both hotel firms and their managers. Originality/value – This theoretical approach makes a key distinction between access to and mobilization of network resources, which leads to a better understanding of the potential of the individual social capital of hotel managers. Network resource mobilization capability is introduced as an adaptive capability of managers.
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Lee, Heechang, und Seonhee Kim. „A Study on the participant’s perception of importance and performance in rural tourism network products with local tourism resources - focused on the rural tourism network products of Damyang Gun -“. Journal of Korean Society of Rural Planning 24, Nr. 1 (28.02.2018): 11–19. http://dx.doi.org/10.7851/ksrp.2018.24.1.011.
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Chen, Tao. „The Influence of Traffic Networks on the Supply-Demand Balance of Tourism: A Case Study of Jiangsu Province, China“. Abstract and Applied Analysis 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/723028.
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The purpose of this research is to address the impact of traffic networks on the supply-demand balance of tourism and to determine if it is necessary to incorporate the traffic flow data for nodes to determine the significant influences and impacts of traffic networks on tourism. For this purpose, a road network was established for Jiangsu province, and the topological parameters of this network and the tourism degree of coordination among each prefectural city were calculated as well. The results demonstrate that the inclusion of the spatial structure of the traffic network was not necessary for determining the supply-demand balance for tourism; thus, the collection of traffic flow data is required to perform further research. As a side result, it has been determined that the circuit routes are relatively absent from the Jiangsu traffic network, which might hinder tourism, and tourism resources are undersupplied to most prefectural cities in Jiangsu.