Smart Tourism Research Articles

Analysis of Research Trends and Issues in Smart Tourism: A Comparative Study between South Korea and China

Analysis of Research Trends and Issues in Smart Tourism: A Comparative Study between South Korea and China

A Study on Analysis of local government ordinancesfor promoting and activating smart tourism

A Study on Analysis of local government ordinancesfor promoting and activating smart tourism

OPTIMIZING THE OPERATION OF SMART CITIES TO INCREASE SUSTAINABLE TOURISM ATTRACTIVENESS

The article describes the main aspects of the development of smart tourism in nine smart cities. Analysis of the results of questionnaires assessing the state of the digital economy and the level of development of information and communication technologies in the tourism sector. The main trends and directions of development were assessed, as well as recommendations for optimizing the operation of smart cities to increase tourist attractiveness were proposed. In addition, the purpose of this article is not only to increase the tourist attractiveness, but also to ensure the sustainability of urban infrastructure, preserve environmental safety and improve the quality of life of the population. The economic consequences of reasonable tourism activities in the city, job creation opportunities and investment attractiveness were also taken into account. The results of the study show that with the help of intelligent technologies, it is possible to improve tourist information systems, expand digital services and increase the mobility of urban infrastructure.

A Theoretical Discussion on the Flow of Tourist Population and the Development of Tourism Market in Heilongjiang Province

This paper deeply discusses the basic law of tourist population flow and its influence on the development of tourism market in Heilongjiang Province. Under the background of the vigorous development of global tourism, the flow of tourist population, as the core element of tourism activities, has an important impact on the prosperity and sustainable development of regional tourism market, such as seasonal, spatial distribution and interactive effects. Through the detailed analysis of Heilongjiang tourism market, this paper reveals the market size, resource characteristics, challenges and problems of this market under the action of tourist population flow. Further, this paper analyzes the dual impact of tourist population flow on Heilongjiang tourism market, including the positive effect of promoting local economy, cultural exchange and industrial development, and the negative effect of environmental pressure, over-exploitation of resources and decline of service quality. At the same time, this paper puts forward some strategic suggestions to promote the sustainable development of Heilongjiang tourism market, including rational planning of tourist population flow, strengthening the protection and development of tourism resources, promoting the development of smart tourism, and strengthening regional cooperation and linkage. These suggestions are intended to provide theoretical basis and practical guidance for the scientific planning and management of Heilongjiang's tourism market, and help it achieve long-term prosperity and sustainable development.

The Moderating Effect of Smart Tourism Technologies: Tourist Destination Loyalty Success in Dili (Timor Leste)

The research focuses on testing and analyzing the influence of several components of tourist destination loyalty, namely tourist satisfaction, experience quality, and smart tourist technologies which as a moderator variable. The research uses a quantitative method to see the influence of each variable. The respondents of the research are from various backgrounds, with a total of 317 visitors (210 women) and (107 men) who have visited tourist attractions of places historical locations in Dili (Timor Leste). The processing data use SEM-PLS, and the results of processing data show that all hypotheses significantly influence (direct) and (indirect hypotheses: smart tourist satisfaction is able to be a good moderator variable between experience quality and tourist satisfaction). The theory implication as a development of behavior and smart technologies theory, as well as the practical implication of being a strategic policy maker for stakeholders. The novelty of the research is that experience quality is in the form of physical and non-physical experiences that have positive emotions that are felt and shared with everyone so that there is satisfaction for visitors and tourist attractions.

Technological Use from the Perspective of Cultural Heritage Environment: Augmented Reality Technology and Formation Mechanism of Heritage-Responsibility Behaviors of Tourists

This paper explores the integration of augmented reality (AR) technology within the realm of cultural heritage tourism, particularly its influence on the development of tourists’ heritage-responsibility behaviors. Addressing the recovery and development of Chinese domestic tourism in the post-pandemic period, smart tourism technology innovations have been explored. The research demonstrates that AR, by surpassing physical and temporal constraints, fosters a deeper synthesis of traditional and contemporary cultures, thereby enriching the comprehension of national history and cultural heritage. Employing the stimulus–organism–response (SOR) theory, a theoretical framework is established to elucidate the causal links from AR attributes to perceived usefulness, enjoyment, and behavioral intentions. The analysis reveals that the interactivity, vividness, and novelty of AR significantly augment perceived usefulness and enjoyment, although augmentation quality does not notably impact enjoyment. Both perceived usefulness and enjoyment significantly drive the intention to recommend. This study offers valuable theoretical insights and practical recommendations for the strategic deployment of AR in the sustainable development of cultural heritage tourism.

Effect of smart tourism technology experience (STTE) on tourist satisfaction and tourist happiness in Bordeaux: the mediation role of self-gratification

Effect of smart tourism technology experience (STTE) on tourist satisfaction and tourist happiness in Bordeaux: the mediation role of self-gratification

스마트관광 척도개발: 컨벤션산업을 중심으로

Purpose: Based on the existing discussions on smart tourism, this study intends to develop a scale by using both qualitative and quantitative methods of the compositional dimensions and sub-elements of smart tourism in the convention industry. Through this, the concept and components of smart tourism in the convention are clearly defined and organized, and a theoretical frame that will be the basis for smart tourism-related research is presented. Methods: Based on web crawling, this study first performed a cluster analysis by matching data to the Nvivo program, and second, an FGI and expert opinion survey were conducted to derive an item pool through qualitative analysis. Third, using the derived item pool, exploratory factor analysis and confirmatory factor analysis were performed using the data collected through the survey to secure reliability and validity. Results: The final derived compositional dimensions were finally derived in five dimensions: technology integration, convenience, information, smart infrastructure, and reliability, and a total of 15 questions were derived, 3 questions each for the lower dimensions. Conclusion: The results of this study provide the following theoretical and practical implications. Theoretically, it laid the foundation for systematically understanding the convergence of smart tourism and the convention industry. In practice, it is possible to lay the foundation for providing personalized services by analyzing participant's preferences and behavioral data, thereby increasing participants' satisfaction and willingness to re-engage.

Integrating Generative AI and IoT for Sustainable Smart Tourism Destinations

This paper aims to develop a groundbreaking approach to fostering inclusive smart tourism destinations by integrating generative artificial intelligence (Gen AI) with natural language processing (NLP) and the Internet of Things (IoT) into an intelligent platform that supports tourism decision making and travel planning in smart tourism destinations. The acquisition of this new technology was conducted using Agile methodology through requirements analysis, system architecture analysis and design, implementation, and user evaluation. The results revealed that the synergistic combination of these technologies was organized into three tiers. The system provides information, including place names, images, descriptive text, and an audio option for users to listen to the information, supporting tourists with disabilities. Employing advanced AI algorithms alongside NLP, developed systems capable of generating predictive analytics, personalized recommendations, and conducting real-time, multilingual communication with tourists. This system was implemented and evaluated in Suphan Buri and Ayutthaya, UNESCO World Heritage sites in Thailand, with 416 users participating. The results showed that system satisfaction was influenced by (1) the tourism experience, (2) tourism planning and during-trip factors (attention, interest, and usage), and (3) emotion. The relative Chi-square (χ2/df) of 1.154 indicated that the model was suitable. The Comparative Fit Index (CFI) was 0.990, the Goodness-of-Fit Index (GFI) was 0.965, and the model based on the research hypothesis was consistent with the empirical data. This paper contributions significant advancements in the field of smart tourism by demonstrating the integration of Gen AI, NLP, and the IoT and offering practical solutions and theoretical insights that enhance accessibility, personalization, and environmental sustainability in tourism.

Research on the Innovation of Tourism Management Curriculum in the Context of Smart Tourism

Research on the Innovation of Tourism Management Curriculum in the Context of Smart Tourism

Exploring factors influencing smart tourism destination visiting behaviors in a historic country: a theory of e-consumption behavior

PurposeThis study aims to explore factors that influence tourists’ visiting behaviors towards smart tourism destinations (STDs) by extending the theory of planned behavior.Design/methodology/approachPartial least squares structural equation modeling (PLS-SEM) technique is used to test the proposed hypotheses by analyzing 413 usable responses that are collected through personal interviews. Moreover, data are collected using structured interviews and analyzed by SmartPLS, 3.3.3.FindingsThis study results reveal that STD visit intentions significantly influence STD visiting behaviors among international and domestic tourists in Bangladesh. Moreover, the results show that e-attitude, resource efficiency norms and perceived environmental sustainability have significant impacts on STD visit intentions.Practical implicationsThe study findings indicate that destinations’ electronic flowcharts of places, usage of low impact and biodegradable materials and history and culture presented in the forms of games and stories increase travelers’ motivation to visit STDs.Originality/valueThe study provides empirical evidence to support the importance of factors enhancing travelers’ STD visiting behaviors by integrating e-attitude, resource efficiency norms, perceived environmental sustainability and STD visit intentions.

Evaluating financing risk for forest recreation value development project—A case study focused on S National Forest Park in Fujian Province

In the process of forest recreation value development, there are some characteristics, such as large amount of investment capital, long financing recovery cycle and high potential risks, which lead to limited capital source and prominent financing risks. To achieve sustainable development, forest recreational value development enterprises must solve the financing dilemma, therefore, it is very urgent to identify the financing risk factors. The research constructed financing risk evaluation index system through WSR (Wuli-Shili-Renli) methodology (from affair law, matter principle and human art dimensions), taking S National Forest Park at Fujian Province as a case study, the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method were used for empirical analysis. The results showed that for the first level indicators, operational risk should be paid close attention to, followed by political risk and environmental risk. Among the secondary level indicators, policy changes, financing availability and market demand need attention, which are consistent with the result of field survey. Based on that, countermeasures were put forward such as the multiple collaborative linkage and effective internal control; reduction on operating costs and broaden financing channels; encouragement diversification of investment entities and improvement of financial and credit support; strengthening government credit supervision, optimizing financing risk evaluation, and building a smart tourism financing information platform, to reduce and control financing risks, then promote the development of forest recreation value projects.

Optimized Decisions for Smart Tourism Destinations: A Cross-Generational Perspective Using an Improved Importance–Performance Analysis

Our study introduces an enhanced version of the Importance–Performance Analysis (IPA) method, a powerful tool that can be applied across various domains. This method plays a crucial role in our research, aiding in making well-informed decisions about smart tourism destination attributes. We achieved this by evaluating how 911 consumers from four different generations (Baby Boomers, Generation X, Millennials, and Generation Z) rated these attributes based on their most recent tourist destination visit. Unlike traditional methods that often rely on subjective opinions or complex statistical models, the Improved IPA (IIPA) method offers a clear approach to decision-making. It enables decision-makers to focus on the most crucial attributes that drive consumer interest, thereby optimizing resource allocation and marketing efforts. Specifically, to remain competitive, decision-makers for smart tourist destinations should focus on queuing-time forecast and applications, websites, and content accessible for travelers with disabilities for Baby Boomers; e-complaint handling for Generation X; smart emergency response system for Millennials; and tourist-flow forecast, real-time traffic broadcast, electronic-entrance guard systems, and accessible data about physical design features of accommodation, restaurants, and tourist attractions for Generation Z. Theoretically, this study advances the research on managerial decision-making by demonstrating the effectiveness of the IIPA as a clear and straightforward method for making optimal decisions about product or service attributes. In practice, the study provides decision-makers with valuable insights into the importance of different categories of smart attributes in shaping the overall holiday experience at a tourist destination for Baby Boomers, Generation X, Millennials, and Generation Z tourism consumers.

السياحة الذكية وانعكاسها على جودة الخدمة السياحية: دراسة استطلاعية تحليلية لعينة من السائحين في محافظة النجف الاشرف

يهدف البحث الحالي للتعرف على السياحة الذكية وأثرها على جودة الخدمة السياحية لمجموعة من السائحين في محافظة النجف الاشرف، اعتمد الباحثان على المتغير المستقل المتجسد بالسياحة الذكية بأبعادها الاربعة (الاستدامة، إمكانية الوصول، التكنولوجيا، الابتكار)، و جودة الخدم السياحية بالمتغير التابع بأبعاده الخمسة(الاعتمادية، الملموسة، الاستجابة، الأمان، التعاطف). استخدم الباحثان اسلوب العينة العشوائية من السياح في محافظة النجف الاشرف، بلغ عدد الاستمارات الموزعة (105) سائح والمسترجعة (98) سائح تم استبعاد (3) استمارات غير صالحة في التحليل الاحصائي والاستمارات التي خضعت التحليل الإحصائي (95) استمارة . كذلك اعتمد الباحثان على برنامج (SPSS V.21) وبرنامج (Smartpls.3.2.9) في التحليل الإحصائي وتوصل البحث الى اهم استنتاج بأن هناك تأثير واضح للسياحة الذكية في بناء جودة الخدمة السياحية مما يبين إمكانية استثمار ابعاد السياحة الذكية في تعزيز جودة الخدمة السياحية من خلال توظيف هذه الأبعاد.

Smart tourism practice in the scope of sustainable tourism in emerging markets: a systematic literature review

Smart tourism practice in the scope of sustainable tourism in emerging markets: a systematic literature review

Research on the Innovation of Education Model for Tourism Management Major in Colleges and Universities under the Background of Smart Tourism

Research on the Innovation of Education Model for Tourism Management Major in Colleges and Universities under the Background of Smart Tourism

Asia Pacific Journal of Tourism Research: a bibliometric analysis from 1996 to 2023

ABSTRACT Asia Pacific Journal of Tourism Research was created in 1995 and published articles in 1996. This study analyzes the journal using bibliometric methods for 1243 articles published in the journal from 1996 to 2023. It uses several indicators to demonstrate the journal's performance and contributions. The study shows that the most productive country and author are China and Rob Law, respectively. Furthermore, the collaboration, co-citation, and co-occurrence networks are created using Gephi, VOSviewer, and CiteSpace. This study provides a comprehensive overview and APJTR may later focus on topics such as tourist destinations, consumer behavior, smart tourism, and sustainable development.

A Personalized Recommendation Algorithm for Tourist Attractions Using User Behavior Data

With the widespread application of 5G and cloud computing technologies, smart tourism has become a hotspot and development trend in the tourism industry. This paper develops a cloud-based intelligent tourism application for the Android platform, innovatively integrating edge computing technology to achieve faster data processing speeds and lower latency, providing users with instant travel information and services. The application adopts a personalized recommendation algorithm to intelligently recommend tourist attractions and routes based on user behavior and preferences, and introduces a geo-tagged social function, allowing users to share travel experiences and reviews, enhancing user interaction and community sense. Furthermore, the application incorporates augmented reality (AR) technology, providing virtual tour guide services through the mobile camera, bringing users an immersive travel guide experience. This paper details the design architecture, key technology implementation, and expected effects of this intelligent tourism application, aiming to enhance the tourism experience while promoting the digital transformation and development of the tourism industry through technological innovation.

Forecasting Smart Tourism Visitor Flows Leveraging Big Data Technology Assistance

This study aims to explore the forecasting effect of smart tourism passenger flow supported by big data technology and improve the intelligence of smart tourism. In view of the differences in tourist traffic due to different times, the tourist traffic data in Xi'an from May 1, 2020, to April 1, 2021 are used as the sample period. Autoregressive Integrated Moving Average (ARIMA) is used to build a smart model of the tourism passenger flow prediction. The predictive performance of the constructed model is evaluated and analyzed. The results show that the prediction errors of the model algorithm Root Mean Squared Error (RMSE) and Mean Squared Error (MSE) are 2.22×10^1 and 4.95×10^2, respectively, which are smaller than other algorithms. The error is compared with the actual passenger flow with the highest accuracy. Therefore, the constructed model has high prediction accuracy in predicting and analyzing smart tourism passenger flow, which can provide a reference for the later tourist management and intelligent development of scenic spots.

Virtual Journeys, Real Engagement: Analyzing User Experience on a Virtual Travel Social Platform

A sustainable smart tourism ecosystem relies on building digital networks that link tourists to destinations. This study explores the potential of web and immersive technologies, specifically the Virtual Romania (VRRO) platform, in enhancing sustainable tourism by redirecting tourist traffic to lesser-known destinations and boosting user engagement through interactive experiences. Our research examines how virtual tourism platforms (VTPs), which include web-based and immersive technologies, support sustainable tourism, complement physical visits, influence user engagement, and foster community building through social features and user-generated content (UGC). An empirical analysis of the VRRO platform reveals high user engagement levels, attributed to its intuitive design and interactive features, regardless of the users’ technological familiarity. Our findings also highlight the necessity for ongoing enhancements to maintain user satisfaction. In conclusion, VRRO demonstrates how accessible and innovative technologies in tourism can modernize travel experiences and contribute to the evolution of the broader tourism ecosystem by supporting sustainable practices and fostering community engagement.