Tourism-related Information Research Articles

The Effectiveness of the Instagram Account @Pariaman.tourism as a Media of Tourism Information and Promotion in Kota Pariaman

The Tourism and Culture Office of Pariaman City designed a planning program with several stages, namely content creation, platform determination, program implementation, monitoring and the final stage of evaluating. This planning is carried out to maximize tourism-related information and promotions through media that are considered quite effective, so as to have an influence on the number of tourists visiting both on a national and international scale. The purpose of this study is to determine the extent to which the effectiveness of social media accounts can be a medium for fulfilling information and promoting tourism. This type of research is quantitative with a descriptive approach. The research population is Instagram followers @pariaman.tourism and a sample of 366 respondents. The results of the research on the effectiveness of communication on the Instagram account @pariaman.tourism seen from the theory of communication effectiveness according to Hardjana which consists of six indicators, obtained a value of 3.30 which is included in the very effective scale range. Thus, the Instagram account @pariaman.tourism is a very effective medium in conveying information and promotions about tourism in the city of Pariaman.

Tourism visual deception in “check-in tourism”: Value co-creation and co-destruction perspectives

social media has changed the way tourism-related information is generated and disseminated. Research has focused on the benefits of social media for tourism management while ignoring its drawbacks. Using script theory and service-dominant (S-D) logic, this study explores whether visual deception in tourism can lead to value co-creation and co-destruction. We conducted a thematic analysis of 190,000 words of textual data from 29 interviews on xiaohongshu and Weibo and found that tourism visual deception resulted in the dual outcomes of value co-creation and co-destruction by multiple stakeholders involved in a co-participation process. In addition, the study revealed two types of tourism visual deception interactions in check-in tourism: feedback and learning. Each type of interaction has the dual potential for value co-creation and co-destruction, depending on the consistency of the operating scripts. However, script inconsistency does not necessarily lead to value co-destruction. This paper highlights the important role of social media platforms for value recovery. When value co-destruction occurs, social media platforms, bloggers, and tourists actively engage in value recovery and adopt co-recovery strategies to transform value co-destruction into co-creation. Meanwhile, we have discovered that the service restoration mechanism primarily relies on the interplay between service remedies, types of failures, response speed, and tourists' emotions. Our findings provide important theoretical contributions and practical insights for tourism deception research and marketing practice.

The Effectiveness of Communication on Generasi Pesona Indonesia’s Instagram in Fulfilling Tourism Informationn Needs

The rise of social media platforms has transformed the way individuals access information, with Instagram emerging as a potent medium due to its visual appeal and engaging features. This research, titled "The Effectiveness of Tourism Communication on Generasi Pesona Indonesia’s (GenPI) Instagram in Fulfilling Tourism Information Needs," aims to assess the efficacy of communication on GenPI's Instagram account in meeting the tourism information needs of its followers. The theoretical framework for this research encompasses concepts such as communication, communication effectiveness, new media, Instagram, and information needs. Employing a quantitative approach with a descriptive focus, the study targets the followers of Generasi Pesona Indonesia’s (GenPI) Instagram account(@genpiindonesia), constituting a population of 15,900 individuals. A sample size of 99 respondents is determined using the Taro Yamane formula, selected through purposive sampling. Data is collected through literature review and questionnaires distributed via Google Form. Analysis of the collected data involves single-table and cross-table examinations, and the relationship between variables is assessed using Spearman's Rank Order Correlations formula with SPSS 25 software. The findings indicate that video content on GenPI’s Instagram account effectively fulfills the tourism information needs of followers, providing valuable recommendations and sought-after tourist destinations. Moreover,the research demonstrates a significant relationship between followers' interaction frequency with Generasi Pesona Indonesia (GenPI)'s Instagram account and the extent to which their tourism information needs are satisfied. This study sheds light on the pivotal role of Instagram as a tool for disseminating tourism-related information, exemplified by GenPI's account, in satisfying the informational requirements of its audience.

Community Knowledge and Support of Ecotourism in the World Heritages Sites of Simien Mountain National Park

Purpose: An in-depth investigation into locals' familiarity with and support for ecotourism development is necessary to ensure the long-term viability of responsible and sustainable tourism. This study aimed to assess the protected area communities' knowledge and level of support for eco-tourism and its development in the Semien Mountain National Park, North Gondar, Ethiopia. Design/methodology/approach: The study employed a mixed research approach and an explanatory design. A multi- stage sampling was used to select 397 samples of respondents from three districts. As methods for gathering data, surveys, interviews and focus group discussions were all employed. Percentages, averages, t-tests, analysis of variance, regression models and thematic analysis were used to analyze the data. Findings: More than half of the respondents (57.2%) were unable to know what tourist is, even though the study found that 93.5% of respondents had a fair understanding of what tourism involved. Nearly three-quarters of the respondents said that their main sources of tourism-related information were their friends and the government. In the multiple regression model, all independent variables together account for about 38.7% of the total variance in the dependent variable. Only three factors significantly contributed to the prediction of the variation in ecotourism support: ecotourism benefit (β = 24, p = 0.001, gender (β =0.47, p = 0.000), and family size (β=0.12, p =.005. Research limitations/implications: Variables, time, and space were limitations on this study. All elements influencing local communities' support for ecotourism development were not exhaustively considered. This research may not apply to other places with differing social, cultural, and environmental settings. This study is also cross-sectional, which means it does not provide information on how local understanding and support for ecotourism may evolve over time. Originality/value: Many studies have examined the consequences of tourism on host communities and tourist attitudes toward ecotourism, but few have examined local understanding and support of ecotourism development. As a result, this study can provide novel perspectives and knowledge that can enhance comprehension of this phenomenon, influence policymaking and practical applications, and ultimately foster the progression of the field.

Predictive analytics of COVID-19 cases and tourist arrivals in ASEAN based on covid-19 cases.

PurposeResearch into predictive analytics, which helps predict future values using historical data, is crucial. In order to foresee future instances of COVID-19, a method based on the Seasonal ARIMA (SARIMA) model is proposed here. Additionally, the suggested model is able to predict tourist arrivals in the tourism business by factoring in COVID-19 during the pandemic. In this paper, we present a model that uses time-series analysis to predict the impact of a pandemic event, in this case the spread of the Coronavirus pandemic (Covid-19).MethodsThe proposed approach outperformed the Autoregressive Integrated Moving Average (ARIMA) and Holt Winters models in all experiments for forecasting future values using COVID-19 and tourism datasets, with the lowest mean absolute error (MAE), mean absolute percentage error (MAPE), mean squared error (MSE), and root mean squared error (RMSE). The SARIMA model predicts COVID-19 and tourist arrivals with and without the COVID-19 pandemic with less than 5% MAPE error.ResultsThe suggested method provides a dashboard that shows COVID-19 and tourism-related information to end users. The suggested tool can be deployed in the healthcare, tourism, and government sectors to monitor the number of COVID-19 cases and determine the correlation between COVID-19 cases and tourism.ConclusionManagement in the tourism industries and stakeholders are expected to benefit from this study in making decisions about whether or not to keep funding a given tourism business. The datasets, codes, and all the experiments are available for further research, and details are included in the appendix.

Digital Transformation of Tourism Industry and Smart Tourism Recommendation Algorithm Based on 5G Background

As a hot issue of current research, tourism information service has higher and higher requirements for intelligent construction. Tourism service recommendation is the embodiment of smart tourism. However, there are still obvious deficiencies in solving the problem of Internet information load and improving user experience. Through functional analysis, architecture design, selection of relevant development frameworks, and improvement of collaborative filtering algorithms, a stable, reliable, high-performance, multi-functional intelligent travel recommendation system can be developed that can complete personalized recommendations. It can achieve the purpose of improving the efficiency and accuracy of recommendation and recommending tourism-related information to users in a targeted manner. Analyze the test plan and test the recommended algorithm module. In the case of different concurrency and database levels, the system response time is 0.9 s and 1 s, respectively. And in the case of high throughput, the system response time is 1.5 s, indicating that the system is running stably. It not only tested the storage and calculation of big data but also improved the usability of the travel information service recommendation system and the user experience of the system.

Online Information Search Behaviour During Pandemic Covid – 19 among Young Travellers in Malaysia

During the Coronavirus illness (COVID-19) epidemic, young generations became accustomed to searching for travel and tourism information on the internet. As a result of the pandemic's limits on movement, Internet usage has risen dramatically. The developments in online information search related to travel and tourism must be investigated in order to aid the tourist industry's sustainability. During the Movement Control Order (MCO) period, this study looked at how young Malaysians searched for travel and tourism-related information online. The descriptive study was used to evaluate four variables: prior travel experience, online information participation, content, and travelling needs. An online poll was used to gather information from Malaysians across the country's 14 states. The replies of 348 people were analysed to see how the younger generation in Malaysia uses the internet to find information. According to the findings, nearly 90% of those surveyed have travelled at least once. Trivago.com is the most popular travel site, and Facebook is the most popular social networking platform, according to the statistics. In terms of content, the majority of searches are for travel destinations, although the majority of travellers' needs are for domestic travel. The findings of this research can be used to design marketing tactics for tourism products as well as recovery measures for the travel and tourism industry. This research can also add to our understanding of Malaysia's information search systems. This will assist Malaysia's tourism industry in making more informed decisions.

A Study on the Tourism-Related Information Consumption Process of Tourists on Social Networking Sites

The current study was conducted to examine the consumption process of tourists through the SIPS model as they experienced tourism-related information and products on social networking sites. Data was collected online from Koreans who have experience in using social networking sites, and a total of 479 responses were used for the data analysis. The statistical package for social sciences 23 and analysis of moment structures 23 were used to evaluate stability, consistency for the measurement items, and to perform structural equation modeling to test hypotheses. There were three main results that emerged from the study. First, three dimensions of sympathy (emotional sympathy, content sympathy, and sympathy for situations and publishers) were extracted. Second, among the dimensions of sympathy, only “content sympathy” showed a significant impact on identification while all dimensions of sympathy significantly affected tourism participation intention. It indicated that tourists are willing to participate in tourism activities immediately if they sympathize with the information obtained from social media without going through the identification process, which is the opposite result of what the SIPS model argued. Lastly, travel content production experience has been shown to have a moderating effect in the relationship between identification and tourism participation intention. The current study will contribute to understanding tourists’ consumption process of tourism-related information on social networking sites and to establish efficient marketing strategies.

Arabic For Specific Purpose And Systematic Literature Review On The Design Of Islamic Tourism Mobile Application

Tourism is now a growing trend in the age of technology, whereby all information related to tourism can be easily accessed through smartphones. Malaysia is no exception to being a focused country as a popular Islamic tourism destination. However, there was insufficient tourism-related information, especially on Muslim tourists via smartphone. Hence the present article conducted a systematic literature review on the design and development of Islamic tourism applications via smartphones focusing on the Android platform. This study selected related articles using three databases: EBSCOhost, Mendeley, and Google Scholar. Based on the thematic analysis, this review has five main themes, namely 1) Islamic tourism; 2) technology; 3) mobile application; 4) barriers; and 5) management. The findings prompted the design and development of a smartphone application that addresses all of the needs of tourists, mainly Muslim tourists. This study also contributes to the use of technology and mobile application in teaching and learning Arabic for specific purposes such as tourism.

Information search behavior among Chinese self-drive tourists in the smartphone era

PurposeThe Chinese economy has grown rapidly over the past decade, making self-drive tours more affordable among Chinese tourists. Thus, self-driving tours using online tourism-related information have also been popular. This study aims to investigate information search behaviors among different segments of Chinese self-drive tourists under the influence of contemporary mobile internet technologies and compares the results with prior related studies from a global standpoint.Design/methodology/approachThis paper investigates the relationships between tourist demographics and information search behavior in Mainland China based on a quantitative method. This study collected 228 surveys from users with self-drive tour experience. This study also conducted a series of online interviews to explore the potential barriers when self-drive tourists search for information.FindingsThe results showed variances within pre-decision and post-decision stages between different age groups, social classes and experience levels. Preference for up-to-date information and contemporary platforms were also observed.Originality/valueResearch paucity exists on self-drive tourists’ information search behavior, using data collected from Mainland Chinese tourists using mobile devices. The findings offer insights to industry practitioners, such as travel agencies and liaison websites, for refining their services to meet the information needs of Chinese self-drive tourists through more comprehensive marketing strategies.

Tourism Attraction Selection with Sentiment Analysis of Online Reviews Based on Probabilistic Linguistic Term Sets and the IDOCRIW-COCOSO Model

The Internet has provided many platforms for tourists to spread tourism-related information, resulting in a large amount of online review data on tourist attractions. Mining and analyzing online reviews by using modern information technology are of great importance. They affect tourists’ travel decisions and ensure the effective management of tourism attraction managers. We establish a multi-dimensional comprehensive evaluation indicator system based on the online reviews of 5A-level tourism attractions in 31 provinces and cities of China. We also utilize probabilistic linguistic term sets (PLTSs) to process the result of sentiment orientation and establish the integrated determination of objective criteria weights (IDOCRIW)-combined compromise solution (COCOSO) model to calculate the aggregate weight of attributes and rank the final evaluation of tourism attractions. Finally, we apply the proposed model to a case study on selecting tourism attractions and illustrate the effectiveness of this work.

Finding Coastal Megaclast Deposits: A Virtual Perspective

Coastal megaclast deposits are dominated by detrital particles larger than 1 m in size. These attract significant attention of modern researchers because of the needs of sedimentary rock nomenclature development and interpretation of storm and tsunami signatures on seashores. If so, finding localities that exhibit coastal megaclast deposits is an important task. Field studies do not offer a quick solution, and, thus, remote sensing tools have to be addressed. The application of the Google Earth Engine has permitted to find four new localities, namely Hondarribia in northern Spain (Biscay Bay), the Ponza Island in Italy (Tyrrhenian Sea), the Wetar Island in eastern Indonesia (Banda Sea), and the Humboldt o Coredo Bay at the Colombia/Panama border (eastern Pacific). In these localities, coastal megaclast deposits consisting of blocks (1–10 m in size) and some megablocks (>10 m in size) are delineated and preliminary described in regard to the dominant size of particles, package density, mode of occurrence, etc. The limitations of such virtual surveys of coastal megaclast deposits are linked to an insufficiently high resolution of satellite images, as well as ‘masking’ effects of vegetation cover and cliff shadows. However, these limitations do not diminish the importance of the Google Earth Engine for finding these deposits. Consideration of some tourism-related information, including photos captured by tourists and bouldering catalogues, facilitates search for promising areas for subsequent virtual surveying of megaclast distribution. It is also established that the Google Earth Engine permits quantitative analysis of composition of coastal megaclast deposits in some areas, as well as to register decade-long dynamics or stability of these deposits, which is important to interpret their origin. The current opportunities for automatic detection of coastal megaclast deposits seem to be restricted.

Comparing the Content of Medical Tourism Facilitator Websites in Iran And Other Countries: A Correspondence Analysis

Introduction: Medical tourism is the most important aspect of health tourism. The responsibilities of this industry are mostly undertaken by agencies and facilitators acting as intermediaries between patients and service providers. As a key factor, websites provide extensive services to patients for a better presence in medical tourism market. The present study aimed to compare medical tourism websites and facilitators in Iran and other countries using correspondence analysis.Method: Websites were selected based on the specified criteria such as content of websites which were examined using content analysis technique. The data belonging to website content were classified into two groups including medical and tourism services and information and communication issues. Correspondence analysis was done using two R packages (FactoMineR for analysis and fact extra for data visualization).Results: Of 42 selected websites, 19 was belonged to Iran, 11 to North America, 7 to South and Central America, and 5 to Asia. Medical tourism facilitators in North America and Asia tend to provide modern contact and legal information. Against Iranians' facilitators tend to show traditional contact and general information. South American websites provide more information about hospital accreditation. Iranian websites emphasized tourism-related information. Whereas, North American’s are emphasized on cost-comparison lists.Conclusion: Results of the present study provide a snapshot of status of data provided on websites in terms of medical, tourist and communication services available in the studied websites and clearly showed that Iranian medical tourism facilitator websites act differently from those of other countries. Websites play important roles for guiding customers to make decisions regarding the medical journey. Therefore, Iranian medical tourism facilitator websites must reduce their differences with those of other countries in order to be more actively participate and earn more profit in this competitive market.

Complaining practices on social media in tourism: A value co-creation and co-destruction perspective

Social media has transformed the way tourism-related information is generated and distributed. While previous studies have focused largely on the benefits of social media for tourism management, there is an emerging recognition of the downside of social media through the enablement of enhanced facilities for consumer complaints. Informed by service-centric research and social practice theory, we theorize that tourist complaining on social media is an interactive process of value formation. We then present an empirical investigation of social media complaints in respect of a large Australian-based airline. The findings reveal three unique practices of tourist complaining and their potential for both value co-creation and co-destruction. Our study offers novel insights into the divergent and interactive nature of the tourist complaining that unfolds on social media, and the importance of adequate organizational responses in order to foster value co-creation – or avoid co-destruction.

Footprint: Tourism Information Search based on Mixed Reality

In the quest to provide better information seeking experience during travelling, this paper is set to design, build and trial a prototype tourism information search application based on mixed reality. This paper proposes “Footprint”, an android-based tourism information search application in a mixed reality environment, whereby it overlays tourism-related information on the image that the mobile phone camera is focused at. Using Footprint, the user would only need to point the mobile phone camera on a specific spot, and Footprint will overlay all in-formation on geo-tagged tourism objects as far as 30 meters away. User is also able to filter search information based on the data source of information (such as Google or Wiki) or based on the category (such as Food or Landmark). It is hoped that this experience would one day become a trend, as when more reality-environments will be shaped into surreal, yet virtual alternatives through Internet of Things (IoT), and there will be more ubiquitous resource ac-cess through many devices, networks, and user content.

Is destination marketing organization microblogging in China delivering? An empirical analysis of information supply against consumer information needs

This research analyzed the travel planning information needs of Chinese consumers and compared these with the online posts by the Chinese destination marketing organizations (DMOs) on a microblog platform. An online consumer survey and a Sina Weibo content analysis were included in the research methodology. Overall, the amount of actual tourism-related information posted by DMOs was low, accounting for no more than one-third of all DMO microblog posts. The DMOs showed a preference for posting information in the basic information and destination cities categories, accounting for 76.2% of all the posts in this analysis. Mismatches were detected between the supply and demand for tourism information on microblog Web sites. It was concluded that DMOs were not delivering on the trip planning information needs of Chinese consumers.

Comparing the attributes of online tourism information sources

Ongoing developments in information technology (IT), particularly with respect to the Internet, have led to changes in the way tourism-related information is distributed. These changes have affected the planning and consumption patterns of tourists before and during their trips. Since the majority of tourists retrieve information from multiple information sources on the web, it is essential to define the differences in these sources and identify the distinct characteristics or properties of each source in order to understand the needs and tendencies of tourists. This study classifies online tourism information sources into four types: blogs, public websites, company websites, and social media websites. Five website attributes are identified: accessibility, security, information–trust, interaction, and personalization. This study uses data from 61 participants. Each participant answered all of the questions for four different information sources. This study then conducts an analysis of variance (ANOVA) test and a multiple comparison Scheffé test to verify differences between groups. Based on these five attributes, the results of this multiple comparison show that the overall mean values are relatively high in personal blogs, while security is the dominant attribute for public websites. The mean values of all five attributes were relatively lower in SNSes compared to the other sources.

CONCEPTUALISE TOURISM SUPPORT SYSTEM THROUGH WEB-BASED GIS FOR COLLABORATIVE TOURISM PLANNING

Web based GIS plays a bigrole in tourism, especially in public and management use. The popularity of Web based GIS is increasing dramatically as seen through the number of web GIS emerging over the years. Web based GIS allows professionals, organizations and the public to share and collaborate on information unhindered by geographic boundaries. The integration of GIS with the World Wide Web (WWW) brought a new paradigm of enhancing the collaborative planning effort among stakeholders. It also became a new medium of inviting public participation in planning and management processes by providing information in the form of maps and data for public access and paving the path for data sharing with agencies having the same interest. This paper aims to explore the concept of web based GIS and identify how it can be used towards enhancing collaborative planning and public participation among tourism stakeholders and communities. The Langkawi Island Web GIS is a website which provides tourism related information about Langkawi Island and allows for public participation as an information supplier.

CONCEPTUALISE TOURISM SUPPORT SYSTEM THROUGH WEB-BASED GIS FOR COLLABORATIVE TOURISM PLANNING

Web based GIS plays a bigrole in tourism, especially in public and management use. The popularity of Web based GIS is increasing dramatically as seen through the number of web GIS emerging over the years. Web based GIS allows professionals, organizations and the public to share and collaborate on information unhindered by geographic boundaries. The integration of GIS with the World Wide Web (WWW) brought a new paradigm of enhancing the collaborative planning effort among stakeholders. It also became a new medium of inviting public participation in planning and management processes by providing information in the form of maps and data for public access and paving the path for data sharing with agencies having the same interest. This paper aims to explore the concept of web based GIS and identify how it can be used towards enhancing collaborative planning and public participation among tourism stakeholders and communities. The Langkawi Island Web GIS is a website which provides tourism related information about Langkawi Island and allows for public participation as an information supplier.Â

Application of Network Analysis for Development and Promotion of Sustainable Tourism in Public Forests

Abstract The issue of sustainable tourism within valuable natural areas has been extensively discussed ever since the emergence of sustainable development philosophy in the 1990s. In view of growing public interest in nature recreation and tourism development, the importance of addressing this subject matter has hitherto increased significantly. The main objective of the present paper was to offer a tool for supporting development and promotion of sustainable tourism in Poland’s forests managed by the State Forests - National Forest Holding. GIS technology, and specific tools for network analysis were used in the project. During task realization, only free and open software sources were used. The work was performed based on the example of the Forest District Żołędowo (Regional Directorate of State Forests in Toruń, Poland) with the use of District’s spatial data resources. A web application was created to present information about tourist attractions and infrastructure on an interactive map with tools for route planning. As a result, there has been developed the web mapping application which provides general access to tourism related information and enables planning touristic routes by pre-specified criteria. Implemented routing algorithms can help traffic management and further protection of the areas vulnerable to anthropogenic pressures. The system created not only promotes attractive tourist sites but also, supports targeting tourist traffic, and accordingly - adds to the progress of sustainable tourism