Big Tourism Research Articles

EVALUASI PELAKSANAAN TRI HITA KARANA PADA LINGKUNGAN VILA DI KECAMATAN UBUD

Development policies in Bali are expected to maintain the sanctity and harmony of Bali nature, according to concept of Tri Hita Karana (THK). Ubud is famous for its unique arts and culture, it is hoped that it will unite in harmony towards harmony based on local wisdom values. Study aims to assess the criteria and analyze the level implementation of THK in the villa environment in Ubud Subdistrict. Determining the location of the research carried out by purposive way. The data collection method was carried out using observation techniques, interviews, questionnaires and literature study. Respondents in this study were villa managers. The three elements of THK include parhyangan, pawongan, and palemahan. The highest score for parhyangan is a indicator: religious activities carried out every day, as well as periodically (odalan) (94.60%: very good). The lowest score is the indicator: the implementation of lectures in the villa environment (60.20%: enough). The highest score for pawongan is a indicator: harmonious relationship between employees and owners (95.00%: very good). The lowest score is a indicator: efforts to increase human resources in the surrounding community (77.20%: good). The highest score for palemahan is a indicator: there is a commitment to the environmental quality of the villa (89.80%: very good). The lowest score is a indicator: waste management and hazardous and toxic materials (B3) (58.40%: enough). The level of implementation of THK in villas in Ubud Subdistrict is 81.91% (good). The level of implementation of THK element is parhyangan at 84.00% (very good), pawongan at 86.28% (very good), and palemahan at 75.44% (good). It is hoped that the THK indicator can continue to be further developed, in a big tourism area and the application of the mandatory Environmental Management Statement is expected to achieve sustainable and environmentally friendly tourism in villas or the tourism industry in Bali. Keywords: Implementation; Tri Hita Karana; Ubud Subdistrict; Villa

Éloge de l’indocilité: regard colonial et appropriation locale, Monts Mandara du Cameroun

This article examines the colonial discourse on populations living in the Mandara Mountains in Cameroon, and the way in which they practiced mimicry to appropriate symbols of the dominant culture, diverting them from their original significance and reinterpreting them to promote their own cultural experiences. It shows how the clichés of rebels and savages through which the colonial power strove to define them were reinvested to defend the image of the mountain dwellers as strong, hard-working people. This process of reappropriation continued during the big tourist boom that began in the 1950s and continued until the mid-2010s, which saw the first forays of Boko Haram in the region. During this period, people staged the supposed cultural authenticity of the Mandara Mountains to fuel the tourism industry. The article is based on archival data collected in various archives in Cameroon, notably in the National Archives in Yaoundé, as well as on data from oral interviews conducted with thirty-nine participants.

Differential Privacy-based Personalized Recommendation Service for "Helping Farmers" Tourism in Guizhou Province

The revitalization of the countryside is an important strategy proposed in the report of the 19th Party Congress. Rural tourism in Guizhou Province is the key to the development of "big tourism" in the 14th Five-Year Plan of the province, and also the driving force of rural revitalization. Most of the current rural tourism personalized recommendation systems rely on user information, and the exposure of sensitive user information has become an obstacle to the development of smart tourism. Through the genetic matrix decomposition recommendation algorithm based on satisfying differential privacy protection and differential privacy recommendation algorithm for sparse data, privacy protection of similarity calculation, accuracy of recommendation and data security are realized. Actively develop secure and personalized rural tourism recommendations so that the majority of farmers can benefit from them.

A Counterfactual Framework Based on the Machine Learning Method and Its Application to Measure the Impact of COVID-19 Local Outbreaks on the Chinese Aviation Market

COVID-19 affects aviation around the world. China’s civil aviation almost recovered to its pre-epidemic levels in the domestic market, but there are still local outbreaks that affect air traffic. This paper proposes measuring the impact of local outbreaks of COVID-19 by the machine learning method and the synthetic control method as a counterfactual control group to measure such an impact. In this study, we use the LightGBM algorithm to construct a counterfactual control group and transform the prediction problem from time series to the fitting problem at the spatial level. We find that machine learning methods can measure such an impact more accurately. We take local outbreaks in Beijing and Dalian as examples, and our measure of their impacts shows that the impact of an outbreak on intercity air traffic can be divided into lag, decline, stable, and recovery periods, and will last for a long period (more than 40 days) unless there are external stimuli, such as legal holidays. The outbreaks reduced the number of passengers in the cities by 90%. Finally, we show the impact on the air traffic network, and find that when a local outbreak happens in a big city, tourist cities or small stations will be greatly affected.

FLASc: a formal algebra for labeled property graph schema

Contemporary labeled property graph databases are either schema-less or schema-optional to support frequent changes in the structure of data found in domains requiring high flexibility. However, the lack of structure impacts data transformation and loading operations from heterogeneous sources into graph databases. We present a formal algebra FLASc for specifying and generating graph schema for labeled property graph databases. We formally define FLASc and demonstrate the use of FLASc generated graph schemas to systematically transform and load data-sets related to domains of cyber-physical systems, big data analytics and tourism. Findings from three disparate case studies show that FLASc-generated schemas assist in enforcing integrity constraints that reduce the chance of data corruption, hence assuring data consistency and integrity.

Emotional Calculation Method of Rural Tourist Based on Improved SPCA-LSTM Algorithm

New technologies such as big data and cloud computing provide new means and tools for rural development. The big rural tourism, with its convenience, quickness, and low threshold, presents great convenience for tourists’ emotional calculation and has become one of the main sources of tourism big data. Under the guidance of big data theory and emotion theory, this paper proposes an emotional calculation method of rural tourists based on improved SPCA-LSTM algorithm, taking big text data as data source. Firstly, the improved TF-IDF algorithm is designed to highlight the importance of feature items, and the word vector trained by word2vec model is applied to represent the rural tourism data text. Then, a weighted sparse PCA (RSPCA) is constructed to reduce the dimension of massive word vector features. RSPCA introduces the weighted l 1 optimization framework and LASSO regression model into the mathematical model of PCA algorithm and establishes a new data dimension reduction model. Thereupon, the long-term and short-term memory convolution network with attention mechanism is employed to extract text features. Finally, the feature vector is utilized to calculate the rural tourist’s emotion by softmax function. The experimental results indicate that the improved SPCA-LSTM algorithm, whose performance index is better than other existing algorithms, is effective in calculating tourists’ emotions. Also, it is more suitable for the research of tourist sentiment calculation in the era of big data.

The use of information systems as a way to ensure interaction between small and big tourism enterprises

The use of information systems as a way to ensure interaction between small and big tourism enterprises

The use of information systems as a way to ensure interaction between small and big tourism enterprises

The use of information systems as a way to ensure interaction between small and big tourism enterprises

A Classification Method of Tourism English Talents Based on Feature Mining and Information Fusion Technology

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.

Understanding the difference of values-based motivation of managerial workers in spa businesses in Thailand

PurposeThis study focuses on variations of the importance of core values through motivational domains of individuals by their cultural background. The effect of motivational domains on operational performance has also been investigated.Design/methodology/approachThe study used survey as the main data collection method to elicit data from managerial workers in spa businesses in four regions of Thailand. An unpublished database of spa businesses was provided to the study by the Thai Chamber of Commerce.FindingsSignificant variations of the importance of motivational domains of managerial workers can be found according to the subculture of each of the four regions of Thailand. In addition, the motivational domains have found their significant impact on worker operational performance.Research limitations/implicationsOne of the limitations of this study may be the distribution of samples because the study focuses on spa businesses, most of which in each region are located in big tourism provinces that may not be wholly representative of the characteristics of each region.Practical implicationsThis study will be of practical value for practitioners or managers of any firms since it is important to consider value variations when assessing the operational performance; workers, especially managerial workers, in each subculture may have different priorities in the motivational domains of their lives. This could affect their operational performance.Originality/valueThis is an original attempt to ascertain variations of core values through motivational domains by subculture. It fills a knowledge gap in under-researched area in the literature since so far a few studies have examined this issue in the ASEAN countries.

Urban experiential tourism marketing


 Purpose
 
 The theoretical framework of this study focuses on the trends towards experiential tourism and new communication channels in the tourist sector. The specific areas of action that are covered in this research work focus on: a definition of experiential tourism, an analysis of markets as a resource of experiential tourism and communication strategies and the use of social media by the markets of Madrid to interact with the new experiential consumer.
 
 
 
 Design/methodology/approach
 
 This paper is arranged as follows: first, a review of the documents on new tourist sector trends towards the demand of experiential tourism, on marketing 2.0 and on social media has been carried out; second, communication strategies of the food markets seen as tourist resources are described herein, including results of the research in the use of social media; and finally, conclusions of the study are developed.
 
 
 
 Findings
 
 According to the conceptual approach and after reviewing the documents cited in this paper, it is possible to conclude that food markets are tourist resources that shall be exploited as “experiential providers” for a market niche that is increasingly demanding and expects to have a “tourist experience”. The present paper contributes to the literature on experiential tourism, including new communication strategies as a tool to contact experiential tourists. Accordingly, an analysis is carried out of a specific product/resource, such as the food markets of Madrid as resources or experiential leisure centers, and a study on product strategies (offer of experiences) and communication strategies on their experiential tourism offer fundamentally based on social media and websites.
 
 
 
 Research limitations/implications
 
 Although this work represents an in-depth study of the food markets analyzed, the research could be extended to other markets or to other cities that are also working with markets as experiential tourism resources, though not in a structured design as in Madrid.
 
 
 
 Practical implications
 
 This work is different from previous studies for several reasons. In the first place, food markets are integrated as elements for the study of experiential tourism as tourist resources, and second, commercial interaction and other types of productive activities in urban centers are considered. In particular, social relations and collaboration between small retailers in markets, their managers and the institutions responsible for tourism management in the city of Madrid are barely analyzed in the literature. This includes the collaboration between public (Madrid City Council), cultural and business institutions (Madrid Fusión and Gastrofestival), hospitality and other businesses (established in the food markets) to promote cultural experiences and historic tourism.
 
 
 
 Social implications
 
 The performed study has several implications for employers and policymakers. As historical, cultural and experiential tourism are growing trends throughout the world, new tourist consumer profiles must be analyzed. There are new groups of tourists looking for unique experiences and “local” activities, eager to visit renovated urban historical centers with a developed experiential leisure offer. This tourist activity facilitates the rebirth of the traditional food markets and promotes the creation of jobs and new opportunities for traditional businesses as shown in the present case study focused on the markets of Madrid.
 
 
 
 Originality/value
 
 The present paper contributes to the literature on experiential tourism, including new communication strategies as a tool to contact experiential tourists. Accordingly, an analysis is carried out of a specific product/resource, such as the food markets of Madrid as resources or experiential leisure centers, and a study on product strategies (offer of experiences) and communication strategies on their experiential tourism offer fundamentally based on social media and websites. The role played by food markets in the creation of an experiential tourism offer in Madrid and the communication strategies generated by them is described in this research. This study not only sheds light on the changes undergone by the tourist demand, specifically urban tourism but also it helps understand some of the strategies that big tourist cities are implementing in historic centers to reduce the risks of mass tourism.
 

Perceptions of tourism: a study of residents’ attitudes towards tourism in the city of Girona


 Purpose
 
 Socio-cultural impacts of tourism have been widely researched within a social exchange theoretical framework, yet it seems that this theory could be neglecting those more emotional elements, which at the same time could be considered key to understand how tourism affects the society. Therefore, the purpose of this paper is to look at the social exchange theory (SET) from a different perspective and focus on those less rational influencing factors that could be shaping residents’ attitudes towards tourism.
 
 
 
 Design/methodology/approach
 
 Based on six main constructs, a quantitative survey-based research is developed in the small city of Girona with the purpose to broaden the versality of the theory, with the support of in-depth exploratory interviews. Thus, an exhaustive study of the influences that attachment to communities, involvement in the tourism industry and personal benefits derived from tourism could have on residents’ perceptions is developed.
 
 
 
 Findings
 
 This paper suggests that those smaller tourism destinations might mirror themselves in those close big tourism destinations and thus residents’ opinions and attitudes seem to be influenced by the situations lived in these larger tourism destinations. Moreover, this paper stresses on the importance of interactions and relationships between tourists and residents to boost personal benefits from tourism. Finally, results show how those attached citizens tend to support tourism development, which could be explained by the proudness they feel when others value what for them is home.
 
 
 
 Originality/value
 
 This paper contributes to the current understanding of attitudes towards tourism within the SET framework, especially relating to covering those more emotional elements of social interactions. Moreover, there seems to be a gap in current research relating to small urban destinations that is aimed to be covered in this research.
 

ECONOMIC VALUATION OF A NATURAL RECREATION AREA: THE VULCANOTOUR IN MERAPI VULCANO

Daerah Istimewa (the special province of) Yogyakarta or usually abbreviated as DIY is the second biggest tourism destination in Indonesia, after Bali. DIY has more than 100 recreation sites. One of the famous recreation sites in DIY is Vulcanotour (VT) located in the area of Merapi Vulcano. This paper employed the individual travel cost method ITCM) to estimate the economic value of VT. We used OLS, Non-linear Normal/NLS, Poisson, and Negative Binomial methods to estimate the regression. This study used primary data from the management of VT and 60 visitors in the period of April to May 2013. The study found that the number of visits to VT was significantly affected by the number of trips to Yogyakarta City (the capital city of DIY). The economic value per visit of VT were ranged from USD 33.1 to USD 153.4. The study also concluded that the number of trips to VT is significantly influenced by the Yogyakarta city as a destination. In other words, the VT cannot be separated from other recreation destinations in DIY.Keywords: Natural recreation area; Individual Travel Cost Method (ITCM); Merapi Vulcano; Vulcanotour; Yogyakarta

Research on Construction of a Cloud Platform for Tourism Information Intelligent Service Based on Blockchain Technology

The development of global tourism has put forward new requirements for the construction of smart tourism. More and more travel-related data have reached the level of TB or even PB, which has brought great difficulties to tourism management. This article explores the use of big data technologies such as genetic algorithms to explore massive travel data and establish a comprehensive tourism information service platform for governments, enterprises, tourists, and scientific research institutions. The overall design of an industrial information service platform based on big tourist data is proposed. The overall function, data source, data standard, and application scope of the platform are all focused on. The traceability and nontampering of blockchain technology can also help passengers retain and verify their identity information. From the perspective of the design goals of the system, in general, the time required for repeated authentication will greatly reduce air ticket bookings, accommodation reservations, and bill verification, and improving efficiency is the only way to establish a “trust ecology.” Architecture design, distributed architecture, and intelligent service design, as well as the key implementation technology of service platform construction, route recommendation algorithm and tourism information big data mining, research and analysis on the construction of tourism information intelligent service.

The Strategy of Eco-Agriculture Economic Development along the Coast Based on Improving the Rural Eco-Tourism Environment

Gong, X.; Zhu,W.C., and Liu, S., 2020. The strategy of eco-agriculture economic development along the coast based on improving the rural eco-tourism environment. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 652–655. Coconut Creek (Florida), ISSN 0749-0208.China is a big tourism country, in the past, when people travel, they will mainly choose famous scenic spots and buildings. But with the gradual progress of China's urbanization construction work, people living in the city, began to yearn for a comfortable and comfortable life in the countryside, eager to feel the idyllic scenery in the countryside on a leisure holiday, breathe fresh air, taste the original taste of farm food. Therefore, the rural eco-tourism industry has gradually developed, loved by many people, but also for the local level of economic development brought great help. However, with the increasing number of people entering the countryside to travel, eco-tourism environment has gradually changed, the local eco-agriculture economic development has been limited. Therefore, this paper analyzes the problems of eco-tourism environment in the development of eco-agriculture economy, and puts forward some strategies to help the development of eco-agriculture economy.

Exploration and Analysis on the Development Path of Smart Tourism in Shandong Province in the Era of Artificial Intelligence

In the new period, China’s tourism industry has entered a new stage of popularization and industrialization, the tourism mode has also changed from “scenic spot tourism” to “all-for-one tourism”, and the development of big data, Internet of Things, artificial intelligence, block chain and other new generation of information technology have promoted the transformation of traditional tourism into smart tourism. As a big tourist province, Shandong Province’s smart tourism developed earlier and achieved more; however, there are still some problems, such as insufficient attention, low popularity, and unbalanced development of cities. This paper takes the impact of artificial intelligence on the development of traditional tourism as the breakthrough point and explores the development path of smart tourism in the era of artificial intelligence in the next stage of Shandong Province through analyzing the internal need of smart tourism development in the era of artificial intelligence in Shandong Province.

Perceptions of tourism: a study of residents' attitudes towards tourism in the city of Girona

Purpose Socio-cultural impacts of tourism have been widely researched within a social exchange theoretical framework, yet it seems that this theory could be neglecting those more emotional elements, which at the same time could be considered key to understand how tourism affects the society. Therefore, the purpose of this paper is to look at the social exchange theory (SET) from a different perspective and focus on those less rational influencing factors that could be shaping residents’ attitudes towards tourism. Design/methodology/approach Based on six main constructs, a quantitative survey-based research is developed in the small city of Girona with the purpose to broaden the versality of the theory, with the support of in-depth exploratory interviews. Thus, an exhaustive study of the influences that attachment to communities, involvement in the tourism industry and personal benefits derived from tourism could have on residents’ perceptions is developed. Findings This paper suggests that those smaller tourism destinations might mirror themselves in those close big tourism destinations and thus residents’ opinions and attitudes seem to be influenced by the situations lived in these larger tourism destinations. Moreover, this paper stresses on the importance of interactions and relationships between tourists and residents to boost personal benefits from tourism. Finally, results show how those attached citizens tend to support tourism development, which could be explained by the proudness they feel when others value what for them is home. Originality/value This paper contributes to the current understanding of attitudes towards tourism within the SET framework, especially relating to covering those more emotional elements of social interactions. Moreover, there seems to be a gap in current research relating to small urban destinations that is aimed to be covered in this research.

BIG DATA AND TOURISM: opportunities and aplications in tourism destination management

With the advancement of technology, the use of mobile devices and the rapid generation of data by electronic devices, it has become increasingly strategic for managers to use tools capable of capturing and analyzing the data generated, in order to turn it into useful information. This article addresses a tool known as Big Data for data analysis and the provision of relevant information that can contribute to decision-making by agents involved with the tourism sector. It aims to demonstrate the application of this method and the opportunities for data analysis using Big Data, exploring aspects related to the adoption of this tool. A qualitative descriptive research was used, with a literature review as the main data collection instrument, focusing on the use of advanced technologies. The data were interpreted in light of the technological and competitive demands of tourism services. This study addresses some ways of using this tool, and the importance of using innovative and up-to-date techniques to understand the trends and transformations in tourism flows and improve the care of consumers in the growing tourism market. It exemplifies through two cases; the State of Espírito Santo, Brazil, and the city of Buenos Aires, Argentina - destinations that already use Big Data to assist in decision-making.

Shifting Towards Sustainable Tourism: Organizational and Financial Scenarios for Solid Waste Management in Tourism Destinations in Tunisia

Tourism in Tunisia generates large amounts of solid waste, especially during the summer, and doubles the amount in most big tourism cities like Hammamet, which makes its management more complicated. Municipalities lack the financial means to ensure sustainable solid waste management (SWM) in tourist areas and need an intervention from all actors to reduce financial and technical pressures and implement sustainable solutions. This paper presents a descriptive research method that focuses on an analysis of the current SWM concept in tourism areas in Tunisia and proposes new sustainable organizational and financial models. These are based on the collaboration of different stakeholders at both national and local levels; and supported by extending the responsibility of the producer through the creation of a new system operator to take charge of the organization and financing of packaging disposal and recycling activities. In addition, the extension of the recovered material for recycling through extended producer responsibility (EPR) could support the system. The performance of current SWM shows that it has failed to ensure the cleanliness of tourism destinations is sustainable. Tunisia generates 2.8 million tons of municipal solid waste (MSW), between 20% to 30% of which are recyclable materials. The current system for packaging in Tunisia (ECO-Lef) only collected 3400 tons in 2018 compared to 15,800 tons in 2010, and the total recycling rate in the country does not exceed 5%, which makes the waste management system inefficient and unsustainable. Proposed solutions should be supported by legal and technical interventions, such as waste prevention, minimization, sorting at source, and the provision of education programs for citizens and tourism establishments.

PENGARUH KUALITAS PELAYANAN, KUALITAS PRODUK, STORE ATMOSPHERE, DAN E-WOM TERHADAP PROSES KEPUTUSAN PEMBELIAN (SURVEI TERHADAP KONSUMEN ZENBU-HOUSE OF MOZARU PARIS VAN JAVA, BANDUNG)

Bandung is a city in Indonesia with big tourism potential. Culinary tourism is one of the most iconic tourism themes in Bandung. One of the most demanded culinary is Japanese Fusion style food that Zenbu-House of Mozaru in Paris Van JavaMall (Zenbu PVJ). In order to increase consumer’s interest, management needs strategies are based from service quality, product quality, store atmosphere and e-WOM. This study uses non-probability sampling technique with purposive sampling method. Based on index assessment, respondents rate service quality, product quality, and store atmosphere good rating whereas e-WOM is rated with moderate assessment. Overall the purchasing decision process is rated with good assessment. This study uses multiple regression analysis, t-test, F-test, and the coefficient of determination analysis as the analysis tools. The result shows that service quality, product quality, store atmosphere, and e-WOM are simultaneously influenced the purchasing decision process of Zenbu PVJ. While partially, service quality, and e-WOM influence the purchasing decision process whereas product quality and store atmosphere do not influence the purchasing decision process.
 Keywords: E-WOM; Product Quality; Purchasing Decision Process; Service Quality; Store Atmosphere