• Title/Summary/Keyword: Tourists

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The Impact of Service Recovery on Satisfaction and Word of Mouth of International Tourists Towards Homestays: An Empirical Study in Vietnam

  • MAI, Van Nam;NGUYEN, Quoc Nghi;NGUYEN, Du Ha Long
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.593-600
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    • 2021
  • Service failures are fairly common these days, and recovering from them is difficult. If service failures are not addressed quickly, the service provider may lose revenue and customers. A good service recovery strategy will positively impact the business results of the service provider. The study aims to demonstrate the impact of service recovery on the satisfaction and word of mouth of international visitors towards homestays in the Mekong Delta, Vietnam. The research data was collected from 320 international visitors who have used services at homestays and experienced service failures in the Mekong Delta, Vietnam. Structural equation modeling was applied to analyze the data. The result shows that 3 dimensions constitute service recovery which are distributive justice, interactional justice, and procedural justice. Most importantly, the study has proved the positive impact of service recovery on both satisfaction and word of mouth of overseas tourists towards homestays in the Mekong Delta, Vietnam. The results have stressed the importance of service recovery to tourists' perceptions of service quality and service image. In addition to this, the study suggests that homestay owners should develop risk handling and risk prevention plans for their services.

A Macro Analysis of Tourist Arrival in Nepal

  • PAUDEL, Tulsi;DHAKAL, Thakur;LI, Wen Ya;KIM, Yeong Gug
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.207-215
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    • 2021
  • The number of tourists visiting Nepal has shown rapid growth in recent years, and Nepal is expecting more tourist arrivals in the future. This paper, thus, attempts to analyze the tourist arrivals in Nepal and predict the number of visitors until 2025. This paper has examined the international tourist arrival trend in Nepal using the Gompertz and Logistic growth model. The international tourist arrival data from 1991 to 2018 is used to investigate international tourist arrival trends. The result of the analysis found that the Gompertz model performs a better fit than the Logistic model. The study further forecast the expected tourist arrival below one million (844,319) by 2025. Nevertheless, the government of Nepal has the goal of two million tourists in a year. The present study also discusses system dynamics scenarios for the two million potential visitors within a year. Scenario analysis shows that proper advertisement and positive word-of-mouth will be key factors in achieving a higher number of tourists. The current study could fill the gap of theoretical and empirical forecasting of tourist arrivals in the Nepalese tourism industry. Also, the study findings would be beneficial for government officers, planners and investors, and policy-makers in the Nepalese tourism industry.

React Native and Android Mobile Apps for Smart Tourism Information Service to FITs

  • Cho, Hyun-Ji;Lee, Jin-Yi;Park, Tae-Rang;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.63-69
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    • 2022
  • We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

Canonical Correlation between Lifestyle and Benefit Sought of Rural Healing Tourists (농촌 치유관광객의 라이프스타일과 추구편익의 관계)

  • Kim, Kyung-Hee;Min, Jae Han;Lee, Hye Young
    • Journal of Agricultural Extension & Community Development
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    • v.29 no.2
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    • pp.51-64
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    • 2022
  • This study aims to investigate relationships between lifestyle and benefit sought of rural healing tourists. For data collection, a total of 3,000 copies of questionnaires were collected by nationwide online survey. The data were analyzed by using SPSS 26.0. The factor analysis identified seven dimensions of the lifestyle : conservative, sports activity orientation, health orientation, consumption orientation, achievement orientation, adventure orientation, and personal orientation. Five dimensions of benefit sought were identified as psychological recovery, outdoor activities, rest, rural experience, and exercise. The results of the canonical correlation analysis indicated that adventure orientation of lifestyle and psychological recovery, outdoor activities, rural experience, exercise of benefit sought were highly correlated. This means it is important to place an emphasis on psychological recovery, outdoor activities, rural experience, and exercise for tourists looking for an adventure away from everyday life. Rural healing tourism marketers should consider lifestyle aspects as the most important factors affecting benefit sought of rural healing tourism.

Research on Satisfaction Evaluation Based on Tourist Big Data

  • Guo, Hanwen;Liu, Ziyang;Jiao, Zeyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.1
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    • pp.231-244
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    • 2022
  • With the improvement of people's living standards and the development of tourism, tourists have greater freedom in choosing destinations. Therefore, as an indicator of satisfaction with scenic spots, tourist comments are becoming increasingly prominent. This paper aims to compare and analyze the landscape image of the Five Great Mountains in China and provide specific strategies for its development. The online reviews of tourists on the Online Travel Agency (OTA) website about the Five Great Mountains from 2015 to 2018 are collected as research samples. The text analysis method and R language are used to analyze the content of the tourist reviews, while the high-frequency words in the word cloud are used for visual display. In addition, the entropy weight method is used to determine the index weight and tourist satisfaction is evaluated to understand the weaknesses of those scenic spots. The results of the study show that firstly, the tourist satisfaction with the Five Great Mountains is basically consistent with its popularity. Secondly, through weight analysis, tourists pay special attention to the landscape features and environmental health of the scenic area, so that relevant departments should focus on building the landscape characteristics and improving the environmental health of the scenic area. At the same time, the accommodation and service management of the scenic spot cannot be ignored. Finally, according to the analysis results, suggestions are made on how to improve the tourist satisfaction with the Five Great Mountains.

A Study on the Moderating Effect of Psychological Power in the Relationahip between Service, Image, and Satisfaction in the Tourism Context

  • Davaanyam, BOLORTUYA;Muhammad, RAZA;Jin-Kwon, KIM;Tony-Donghui, AHN
    • The Journal of Economics, Marketing and Management
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    • v.11 no.1
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    • pp.45-52
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    • 2023
  • Purpose: The purpose of this study is to investigate the relationship between service quality, destination image, and tourist satisfaction for foreign tourists visiting Korea, and in particular, to analyze the moderating effect of psychological power in the relationship. Research design, data, and methodology: A research model was derived through existing literature research and a survey was conducted on foreign tourists visiting Korea. Structural equation model of SPSS and AMOS24.0 were used for data analysis and hypothesis testing. Results: The tourism service quality affects the image of tourist attractions. Images of tourist attractions were found to affect tourism satisfaction. It was found that the lower the psychological power, the greater the effect on the relationship between service quality and image, and the relationship between image and satisfaction. Conclusions: This study demonstrated that service quality at travel destinations is a key factor in order to enhance the image and satisfaction of Korean tourist destinations for foreigners visiting Korea. On the other hand, since the image and satisfaction level of the tourism destination vary depending on personal factors such as psychological power, it suggests that travel industry workers or researchers should develop and operate services tailored to the individual characteristics of the tourists.

Examining Tourists' Behavior Using Protection Motivation Theory and Health Belief Model: Covid-19 Crisis (보호동기이론(PMT)과 건강신념모델(HBM)을 이용한 관광객 위기대응 행동 분석: COVID-19 위기)

  • Woo, Eun-Ju;Lee, Sang-Tak
    • Asia-Pacific Journal of Business
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    • v.13 no.1
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    • pp.301-315
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    • 2022
  • Purpose - The main objective of this study was to investigate tourists behavior by applying protection motivation theory and health belief model during COVID-19 pandemic. Specifically, the study examined how risk perception of COVID-19 affects tourists' protection motivation and travel avoidance intention. Design/methodology/approach - The empirical data was collected by self-administered questionnaires to obtain perception and behavior regarding COVID-19 pandemic situation. A total of 486 questionnaires were used for data analysis and SEM analysis was applied in order to examine seven hypotheses. Findings-The results showed that COVID-19 risk perception is a significant antecedent of threat appraisal, coping appraisal, and cue to action (H1, H2, H6). Moreover, protection motivation is affected by threat appraisal and coping appraisal (H3, H4) and influences on travel avoidance intention (H5). However, cue to action does not affect protection motivation (H7). Research implications or Originality - This study provides insightful implications for tourism industry practitioners who will prepare the post-corona field and the results enrich knowledge of the tourist behavior during pandemic situation.

A Structural Relationship among Rurality Perception, Tourism Attitude, and Behavioral Intention in Rural Healing Tourism (농촌성 인식, 치유관광 태도, 행동의도 간의 구조관계 분석)

  • Kyung-Hee Kim;Yae-Na Park;Jae Han Min
    • Journal of Agricultural Extension & Community Development
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    • v.30 no.1
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    • pp.31-41
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    • 2023
  • This study aims to examine the structural relationships among rurality perception, tourism attitude, and behavioral intention in rural healing tourism. Particularly, this study focused on the mediation effect of attitude. Data were collected from 658 rural healing tourists by online survey. SPSS 28.0 and AMOS 28.0 were used for frequency, exploratory factor, confirmatory factor, and structural equation modeling analyses. The results of structural equation modeling indicate perception of rurality had a positive effect on attitude and behavioral intention. In addition, attitude mediated the relationships between perception of rurality and behavioral intention. The results of this study suggest the importance of understanding the interests and pursuits of rural healing tourists and providing them with the values they want. Since rurality has a direct influence on attracting healing tourists, it is necessary to establish a positive image of rural healing tourism.

Predicting Urban Tourism Flow with Tourism Digital Footprints Based on Deep Learning

  • Fangfang Gu;Keshen Jiang;Yu Ding;Xuexiu Fan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1162-1181
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    • 2023
  • Tourism flow is not only the manifestation of tourists' special displacement change, but also an important driving mode of regional connection. It has been considered as one of significantly topics in many applications. The existing research on tourism flow prediction based on tourist number or statistical model is not in-depth enough or ignores the nonlinearity and complexity of tourism flow. In this paper, taking Nanjing as an example, we propose a prediction method of urban tourism flow based on deep learning methods using travel diaries of domestic tourists. Our proposed method can extract the spatio-temporal dependence relationship of tourism flow and further forecast the tourism flow to attractions for every day of the year or for every time period of the day. Experimental results show that our proposed method is slightly better than other benchmark models in terms of prediction accuracy, especially in predicting seasonal trends. The proposed method has practical significance in preventing tourists unnecessary crowding and saving a lot of queuing time.

A Study on the Perception of Grand Canal Heritage Visitors Based on Web Text Analysis:The Pingjiang Historical and Cultural District of Suzhou City as an example (인터넷 텍스트분석을 통한 대운하 유산 관광객 인식에 관한연구 : 소주시 평강역사 문화거리를 예로 들다)

  • Zheng Chengkang;Jing Qiwei;Nam Kyung Hyeon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.437-438
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    • 2023
  • This paper takes the Pingjiang historical and cultural district of Suzhou city as an example, collects 1439 visitor review data from Ctrip.com with the help of Python technology, and uses web text analysis to conduct research on high-frequency words, semantic networks and emotional tendencies to comprehensively assess the tourist perception of the Grand Canal heritage. The study found that: natural and humanistic landscape, historical and cultural accumulation, and the style of Jiangnan Canal are fully reflected in the tourists' perception of Pingjiang historical and cultural district; tourists hold strong positive emotion towards Pingjiang Road, however, there is still more room for renovation and improvement of the historical and cultural district. Finally, countermeasure suggestions for improving the tourist perception of the Grand Canal heritage are given in terms of protection first, cultural integration and innovative utilization.

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