scholarly journals Forecasting of Visitors Arrived in Taiwan for Tourism Supply Chain Demand using Big Data

2021 ◽  
Vol 9 ◽  
pp. 87-91
Author(s):  
Yi-Hui Liang

The fast development of Information and Communication Technology, generate, collect and operate a large amount of data, which is termed big data. The search queries in web search engines can be retrieved by visitors to obtain useful infor-mation for the selected next visiting destinations. Google Trends on Google search engine can evaluate and compare how many times users are searching for specific terms or topics. Otherwise, economic factors, covering income, the rela-tive prices, and relative exchange rate usually influence the international tourist demand. However, there are different conclusions in different settings. Accord-ingly, this work presents the ARIMAX model for modelling and forecasting numbers of international tourists visiting Taiwan from Japan for different pur-poses and provides an analysis of the effects of big data and economic factors. The results can contribute to the decision makers of the tourism industry in Taiwan

2018 ◽  
Vol 4 (2) ◽  
pp. 124
Author(s):  
Komang Trisna Pratiwi Arcana ◽  
Febianti Febianti

The development of the tourism industry in the south of Bali tend to be uncontrolled and opened an opportunity for other development of alternative tourism destination in other regions of Bali such as Singaraja. One of destination with natural and cultural tourism attraction is Ambengan Village. In the increase of tourist demand, the community needs to do some innovations and development of tourism product. Furthermore, it requires to prioritize the existing market segmentation and reaching the other one. It necessary due to the existing product has some weaknesses compared to tourism product attributes. The objective of this research is to discover the tourist’s profile and their perception of ecotourism product in Ambengan Village with qualitative and quantitative method. To obtain the data, the research instruments used were questionnaire to 100 mixes of domestic and international tourist, interview guidelines to government, village chief, local community, and checklist observation. Majority of the tourist were satisfied with natural attraction been offered, informative local people, and safety atmosphere surrounding area. The local community has been aware of tourism potential in their village. They are in the state of euphoria level. However it wasn't completed with other supported attributes such as accommodation; restaurant; accessibility; route direction; moneychanger and souvenir shop. Government needs to allocate more budgets in supervising the community to develop tourism potential. The data obtained also assists them practically to create marketing strategy and guidance of ecotourism product in Ambengan Village.


Author(s):  
Md. Ziaul Haque

The tourism sector is experiencing numerous challenges as a result of the global economic crisis. After a significant contraction in 2009, tourism rebounded strongly  in  2010  and  in  2011  the  international  tourist  arrivals  and  receipts  are projected to increase substantially. The Tourism industry is expected to show a sustained recovery in 2012. The crisis has particularly strong impact and slightly negative consequences in Bangladesh. The country is undergoing a political crisis, as well, and it seems that the forthcoming elections may be the only solution for the restoration of stability and social peace.  In addition, tourism can be the driving force behind Bangladesh economic recovery. However, for its achievement the country’s policy makers should take several measures towards restructuring and improving the sector. These measures include: enhancement of alternative forms of tourism; environmental protection; creation of quality infrastructure; and boost of competitiveness through a tourism product that offers value for money


Author(s):  
Md. Ziaul Haque

The tourism sector is experiencing numerous challenges as a result of the global economic crisis. After a significant contraction in 2009, tourism rebounded strongly  in  2010  and  in  2011  the  international  tourist  arrivals  and  receipts  are projected to increase substantially. The Tourism industry is expected to show a sustained recovery in 2012. The crisis has particularly strong impact and slightly negative consequences in Bangladesh. The country is undergoing a political crisis, as well, and it seems that the forthcoming elections may be the only solution for the restoration of stability and social peace.  In addition, tourism can be the driving force behind Bangladesh economic recovery. However, for its achievement the country’s policy makers should take several measures towards restructuring and improving the sector. These measures include: enhancement of alternative forms of tourism; environmental protection; creation of quality infrastructure; and boost of competitiveness through a tourism product that offers value for money


2021 ◽  
pp. 109634802199679
Author(s):  
Xiaofeng Zhao ◽  
Jianrong Hou

Tourism supply chain management has become an important research topic as individual firms no longer compete as isolated entities but rather as supply chains in the tourism industry. Despite the evidence that benefits can be gained to improve profitability, competitiveness, and customer satisfaction, the research on how to manage the tourism supply chain is very limited. This research contributes to the literature by applying the theory of constraints (TOC) with systems thinking to tourism supply chain management. It proposes that the key issue in tourism supply chain management is the coordination of business activities and the TOC with systems thinking can effectively support tourism supply chain coordination of the various links and processes. The article examines the TOC performance measures and the drum–buffer–rope model in the context of tourism management and applies the focusing process of the TOC as a continuous improvement approach for tourism supply chain management. The research findings suggest that, given modifications to the TOC terminology and the principles, the TOC principles can work as an excellent approach to facilitate the tourism supply chain management.


2021 ◽  
Vol 14 (2) ◽  
pp. 1-36
Author(s):  
Theja K. Arachchi ◽  
Laurianne Sitbon ◽  
Jinglan Zhang ◽  
Ruwan Gamage ◽  
Priyantha Hewagamage

This article presents how young adults with intellectual disability (ID) from Sri Lanka, who had not previously used the Internet, interacted with Google search while enhancing their web search abilities throughout three web search workshops. Considering the little attention paid to the learning needs of people with ID in the current offering of web search learning tools, we iteratively developed a suite of learning tools to support our participants when they need help in the web search workshops. We employed an iterative participatory approach, with observations and semi-structured interviews, to reflect on how to design eLearning tools that enhance the participants’ interactions with web search. The qualitative thematic analysis resulted in five distinct themes on strategies to support, build on, and develop the abilities of young adults with IDs as they engage with Google search in their native language: application of existing abilities, basic skills to match learning needs, conceptual understanding, animations to facilitate visual memory, and promoting active engagement. These themes will be a starting point for understanding participants’ learning needs and behavior on web search, which would be important for future research on learning support as well as on software design.


2020 ◽  
pp. 004728752097772
Author(s):  
Sefa Awaworyi Churchill ◽  
Lei Pan ◽  
Sudharshan Reddy Paramati

Theoretically, it is well argued that environmental factors affect the growth of the tourism industry; however, from an empirical perspective, some gaps still exist in the literature. We empirically examine the effect of carbon dioxide (CO2) and particulate matter (PM2.5) emissions on tourist arrivals in a panel of G20 countries. Using annual data from 1995 to 2014 and a series of panel data models, our results suggest that the growth of both CO2 and PM2.5 emissions adversely affects international tourist arrivals. The results also show that the observed effect of CO2 emissions is more pronounced in developed economies, while the effect of PM2.5 emissions is stronger for developing economies. Given these findings, our study provides and discusses a number of policy and practical implications.


2021 ◽  
Vol 11 (6) ◽  
pp. 2491
Author(s):  
Claudia C. Tusell-Rey ◽  
Ricardo Tejeida-Padilla ◽  
Oscar Camacho-Nieto ◽  
Yenny Villuendas-Rey ◽  
Cornelio Yáñez-Márquez

In the tourism industry it is common that the information obtained from customers can be varied, dispersed, and with high volumes of data. In this context, the automatic analysis of information has been proposed through electronic customer relationship management, which refers to marketing activities, tools and techniques, delivered with the use of electronic channels for the specific purpose of locating, building and improving long- term relationships with customers, to enhance their individual potential. In this paper, we refer to the analysis of information in three aspects: customer satisfaction, the study of customer behavior and the forecast of tourist demand. Specifically, we have created a novel dataset comprising the non-verbal preference assessment of tourists who are clients of the Sol Cayo Guillermo hotel belonging to the Melia hotel chain, in Jardines del Rey, Cuba. Then, by applying Computational Intelligence algorithms to this dataset, we achieve segment customers according to their non-verbal preferences, in order to increase their satisfaction, and therefore the client profitability. In order to achieve a good performance in the realization of this task, we have proposed two modifications of the Naïve Associative Classifier, whose results are compared with the most relevant computational algorithms of the state of the art. The experimentally obtained values of balanced accuracy and averaged F1 measure show that, by clearly improving the results of the state-of-the-art algorithms, our proposal is adequate to successfully use electronic customer relationship management in the tourist services provided by hotel chains.


2020 ◽  
pp. 125-130
Author(s):  
Tetyana P. Yakhno ◽  
Ulyana A. Martynyuk

The article identifies the main aspects of gastronomy tourism in Ukraine and in the world and possible prospects and trends for further development of gastronomy tourism in our country. The variety of gastronomic festivals and tours in the leading regions of the country available in Ukraine are analyzed. Factors and entities of development of gastronomic tourism in each region and the reasons of their uneven application are allocated. The perspective areas of gastronomy tourism development in Ukraine to create a promising and competitive product on the international market of tourist services are outlined. Ukraine as a new tourism destination is increasingly establishing itself on the tourists’ travel map. The information is supplemented by various ratings from international tourist guides, which recommend travelers to turn their eyes to Ukraine. In Ukraine, the tourism industry is in its infancy, but its operation has a significant impact on the economy and is quite promising. Ukraine has very promising conditions and opportunities for activating the tourist capacity, in particular, due to the availability of unique natural and recreational resources, historical and cultural monuments, rich flora and fauna, areas of various forms of recreation, interesting and delicious dishes. Forming the innovation clusters, which are groups of enterprises, firms, organizations, and institutions operating in one (or several related) business area by economic interests and regional characteristics is one of the perspective forms of economic integration and development in the tourism industry of Ukraine. The advantage and novelty of the cluster approach are that it provides significant importance to the microeconomic component, as well as the territorial and social aspects of economic development. In modern conditions, the improvement of methods of organizational, financial, and resource-based support for tourism development at the macro, meso-, and micro levels is highly relevant. The intensification of the tourism companies’ activity should be based on the expansion of the possibilities of regional investment processes management in the specified direction and the combination of efficient state regulation of the economy with market self-regulation.


Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia

Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. ‘Infodemiology’ and ‘infoveillance’ are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering ‘lupus’, ‘relapse’ and ‘fatigue’ in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn–Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for ‘lupus’ were correlated with ‘relapse’ (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.85; p = 0.018). Similarly, a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.


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