ABSTRACT
Mangrove tourism is one of the tourist destinations offered by tourism managers that is currently gaining popularity and popularity among tourists. Keeping tourists coming back can be a very effective strategy for developing tourist destinations. This study employs Experiential Marketing as a strategy to increase tourist interest. Because research in the field of experiential marketing in nature tourism destinations such as mangrove tourism is still limited, the topics of this study are experiential marketing and visitor visit intention. The purpose of this study was to determine the impact of strategic experiential modules (SEMs) on visitor revisits intention. The research method used is quantitative with the variable dimensions of SEMs and visitor revisits intention, a sample of 93 tourists with a purposive sampling technique, and multiple linear regression analysis techniques. The results showed that the sense, act, and relate variables had a positive and significant impact on the visitor revisits intention, while the feel variable had a positive but not significant impact, and the think variable had a negative but not significant impact on the visitor revisits intention.
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The number of inbound tourists in Japan has been increasing steadily in recent years. However, due to the COVID-19 pandemic, the number of inbound tourists decreased in 2020. This is particularly worrisome for Japan, as the number of inbound tourists is expected to reach 60 million per year by 2030. In order to help Japan's tourism industry to recover from the pandemic, we propose a method of identifying elements that attract the attention of inbound tourists (focus points) by analyzing reviews on tourist sites. We focus on Hokkaido, a popular area in Japan for tourists from China. Our proposed method extracts high-frequency n-gram patterns from reviews written by Chinese inbound tourists, showing which aspects are mentioned most often. We then use seven types of motivational factors for tourists and principal component analysis to quantify the focus points of each tourist destination. Finally, we estimate the focus points by clustering the n-gram patterns extracted from the tourists' reviews. The results show that our method successfully identifies the features and focus points of each tourist spot.
ABSTRACT
Humans can be said to be social creatures who always cannot be separated from communicating with other humans. This study aims to determine the influence that can attract tourists to continue to visit and feel satisfied with the facilities provided. This research method is quantitative research, the type of data needed in this research is primary data and secondary data, the source of the data used in this study is by distributing questionnaires (questionnaires), the data collection technique used in this study is through the Likert scale. The results of the study show that this Jaddih Hill tour has utilized good electronic media, so that tourists are interested in visiting again besides tourists who visit have a sense of security and calm.
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The Dajia Mazu pilgrimage is one of the most well-known events in the world. It not only satisfies tourists' spiritual desires for religious beliefs but also drives the development of destination tourism. In recent years, the tourism industry has been severely impacted by COVID-19. However, tourists participating in the Dajia Mazu pilgrimage continue to do so without fear of the pandemic. Therefore, understanding the relationship between tourists' attraction to religious tourism, perception of happiness, and willingness to revisit can contribute to the sustainable development of religious tourism, especially in the context of COVID-19. Accordingly, this study explored the sustainable development of Taiwan's religious tourism from the perspectives of tourism attraction, experiential value, happiness, and revisit intention. The study conducted quantitative research to address the research issue. Three hundred and fifty valid questionnaires were collected through on-site questionnaire distribution, and the data were analyzed by descriptive statistics and the structural equation partial least squares method. According to the results, the tourism attraction of the Dajia Mazu pilgrimage and the experiential value of tourists significantly impact happiness and revisit intention. Happiness is part of the intermediary variables of tourism attraction, experiential value, and revisit intention. Notably, the attraction of the Dajia Mazu pilgrimage and the experiential value pursued by tourists have not diminished despite the pandemic. Instead, the attraction has become an opportunity for tourists to seek spiritual comfort and support sustainable religious tourism development. Accordingly, spiritual comfort and maintaining their health and safety can be considered strategies to promote the sustainability of religious tourism in Taiwan.
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Due to the COVID-19 pandemic, the tourism sector has been one of the most affected sectors and requires management entities to develop urgent measures to reactivate and achieve digital transformation using emerging disruptive technologies. The objective of this research is to apply machine learning techniques to predict visitors to tourist attractions on the Moche Route in northern Peru, for which a methodology based on four main stages was applied: (1) data collection, (2) model analysis, (3) model development, and (4) model evaluation. Public data from official sources and internet data (TripAdvisor and Google Trends) during the period from January 2011 to May 2022 are used. Four algorithms are evaluated: linear regression, KNN regression, decision tree, and random forest. In conclusion, for both the prediction of national and foreign tourists, the best algorithm is linear regression, and the results allow for taking the necessary actions to achieve the digital transformation to promote the Moche Route and, thus, reactivate tourism and the economy in the north of Peru.
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To alleviate the impact of the Covid-19 pandemic on tourism, tourist facilities in Bali are informing visitors of the relevant health protocols, using posters to describe the appropriate behaviours. Using critical discourse analysis, this study examines the microstructure of the texts in these posters to identify their semantic, syntactic, lexical, and rhetorical elements. The study findings show that the semantic aspects consist of background, intention, and detail. The syntactic elements involve coherence and the use of the pronouns 'you' and 'we', and of the imperative, and the declarative. The lexical aspects include abbreviations and vocabulary, related to the health protocol. The textual messages are delivered in official language, supported by pictures and photographs.
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The purpose of this study is to investigate the tourism concept variable, tourism services and facilities and infrastructure affect the success variable of developing sustainable tourism destinations through moderating variables of tourist interest to visit. In this study, the independent variable is related to the development of sustainable tourism destinations, the variable is the concept of tourism, tourism services and facilities and infrastructure, while the dependent variable is the success in developing the concept of sustainable tourism, and the moderating variable is the interest of tourists to visit. The research method used in this study is a quantitative descriptive research method using path analysis. In this study the independent variables are related to factors related tothe development of sustainable tourism destinations, such as tourism concept variables, tourism services and facilities and infrastructure, the dependent variable is the success in developing the sustainable tourism concept, with moderating variable (connecting variable) tourist interest to visit, data analysis using AMOS 20, and data taken is data on the number of tourist visits to Indonesia during 2016-2020 years. Partially variable tourism concept, tourism services and infrastructure advice significant effect on the variable successful development of tourist destinations and has a significant effect on the variable of tourist interest in visiting 5 priority tourist destinations in Indonesia, while simultaneously the variable tourism concept, tourism services and infrastructure advice indirectly has a significant effect on the variable successful development of tourist destinationsthrough the interest of tourists to visit 5 priority tourist destinations in Indonesia. Through the results of research that has been stated that the success of developing tourist destinations depends on the concept of tourism, the tourist services and infrastructure offered are in accordance with the needs and desires of tourists, if the concept of tourism, tourism services and facilities and infrastructure offered are appropriate, then tourists will be motivated to continue to visit these tourist attractions.
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PurposeThis study aims to investigate how the COVID-19 pandemic has impacted and changed Airbnb market in the Greater Melbourne area in terms of its temporal and spatial patterns and identify possible shifts in underlying trends in travel activities.Design/methodology/approachA panel data set of Airbnb listings in Melbourne is analysed to compare temporal patterns, spatial distribution and lengths of stay of Airbnb users before and after the COVID outbreak.FindingsThis study found that the COVID disruption did not fundamentally change the temporal cycle of the Airbnb market. Month-to-month fluctuations peaked at different levels from pre-pandemic times mainly because of lockdowns and other restrictive measures. The impact of COVID-19 disruptions on neighbourhood-level Airbnb revenues is associated with distance to CBD rather than number of COVID cases. Inner city suburbs suffered major loss during the pandemic, whereas outer suburbs gained popularity due to increased domestic travel and long stays. Long stays (28 days or more, as defined by Airbnb) were the fastest growing segment during the pandemic, which indicates the Airbnb market was adapting to increasing demand for purposes like remote working or lifestyle change. After easing of COVID-related restrictions, demand for short-term accommodation quickly recovered, but supply has not shown signs of strong recovery. Spatial distribution of post-pandemic supply recovery shows a similar spatial variation. Neighbourhoods in the inner city have not shown signs of significant recovery, whereas those in the middle and outer rings are either slowly recovering or approaching their pre-COVID levels.Practical implicationsThe COVID-19 pandemic has significantly impacted short-term rental markets and in particular the Airbnb sector during the phase of its rapid development. This paper helps inform in- and post-pandemic housing policy, market opportunity and investment decision.Originality/valueTo the best of the authors' knowledge, this is one of the first attempts to empirically examine both temporal and spatial patterns of the COVID-19 impact on Airbnb market in one of the most severely impacted major cities. It is one of the first attempts to identify shifts in underlying trends in travel based on Airbnb data.
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Despite the significant loss, pandemic Covid-19 had been an enabler for digital transformation, specifically in Indonesia. In the tourism industry, the emergence of virtual tours brings fresh fashion for people to spend their leisure time. Following the calming down pandemic, the innovation of virtual tourism or virtual tours can promote specific tourist locations, which are expected to increase interest and decisions to visit. This research intends to discover virtual tours' power to attract visitors. The researcher used a quantitative method with simple linear regression analysis and distributed questionnaires to 104 people who had participated in virtual tours using meeting platform such as Zoom, Google Meet, or Webex. The results of this study indicate that the virtual tour influences the tourists' interest and decision to visit, at a moderate correlation level based on Pearson Correlation Test, with a percentage of 34.6% and 30%, respectively, based on R2 result. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The COVID-19 pandemic severely hit the tourism industry in China and worldwide. Chinese government adopted extensive nonpharmaceutical interventions (NPIs) to control it. COVID-19 has been well under control since April 2020 and China entered into a unique recovering period. The aim of this study is to examine how the COVID-19 pandemic changed residents' travel behaviors and intentions and investigate the theoretical factors associated with these changes during the pandemic and the recovery period. This study used a mixed-methods approach by combining quantitative surveys (N = 1,423) and qualitative interviews (N = 34). We extended the theory of planned behavior (TPB) to include other emerging factors in the context of the COVID-19 pandemic, such as risk perception, tourist trust, and charitable attitude. Our findings show that COVID-19 changed respondents' travel preferences in different ways, for example, tend to choose natural/outdoor/uncrowded attractions over cultural/indoor/crowded attractions. Second, respondents' domestic travel behaviors and intentions were positively associated with constructs in TPB, charitable attitude to contribute to the recovery of the tourism industry, tourists' trust in domestic COVID-19 control, and awareness of destinations' promotion strategies, while domestic travel intentions were negatively associated with risk perception. Third, concerns about the international COVID-19 control and travel restrictions were the two major factors affecting residents' intentions to travel abroad. Finally, we highlighted the management implications including implementing strict preventive measures while improving the effectiveness, increasing tourists' trust, and adopting diverse marketing and promotion strategies.
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PurposeDigital tourism has drawn the attention of researchers around the globe. This study aims to assess the digital tourism experience for tourist site revisit from an emerging market perspective.Design/methodology/approachAnchored on the social cognitive theory, the study employed a quantitative method, using the convenience sampling to select 328 participants who responded to tourism and technology sharing items through an online questionnaire. The study's hypotheses were tested utilizing structural equation modelling.FindingsThe results suggest a significant influence of technology-based service innovativeness on service value, tourist site revisits and experience sharing through technology. Further, the findings also revealed the significant influence of service value on tourist site revisit and experience-sharing through technology.Research limitations/implicationsThis study was conducted with only clients or tourists, and this limits generalization of the study's findings.Practical implicationsThe study offers the understanding of how tourist site operators and all stakeholders have to deploy new ways of technology-based service innovation to get maximum return on their investment in the hospitality industry.Originality/valueThe outcome of this research advanced the linkage between technology and tourism in context, which is important to policymakers and practitioners in the sector.
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According to the world wellness tourism trend, Thailand has promoted wellness tourism to boost its competitiveness. Therefore, this study aimed to determine the potential of Betong district in Yala province to be a wellness destination in the deep south of Thailand serving both domestic and international tourists. This study applied qualitative analysis to primary and secondary data on tourists' demand for wellness tourism services and the standard of wellness tourism services supplied in Betong. The findings revealed that Betong's wellness tourism services, found to have high market potential, include gastronomy services, Betong hot springs, and historical and community-based tourism destinations. These indicated that Betong has the potential to become a wellness tourism destination. However, Betong has to develop new services like herbal tourism and halal tourism as well as creative tourism products and services to increase its competitiveness and achieve inclusive income distribution and sustainable growth.
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This study documents customer behavior in the travel services market before and during the COVID-19 pandemic (C-19). We offer theory-based and research-based insights that demonstrate customer value propositions during a pandemic and help predict future behavior for green tourism development. This article aim is to identify the relationship between the situation in tourism during the pandemic, customer behavior, and the added value that historical sites in Poland and the Czech Republic introduced or should introduce in the green economy. The topic is important because the situation during the pandemic showed the lack of a quick response, which is only possible if you have prepared scenarios for the crisis. This study discusses the marketing factors of creating value and analyzes the value strategy for individual clients. The authors of this study analyzed various stages in the customer life cycles in the company and the level of their profitability, taking into account the principles of the green economy (sustainable development) in the example of cultural facilities, i.e., Książ Castle in Poland and the Kuks Complex in the Czech Republic. Literature studies were used in this study, followed by the questionnaire method. The test results are presented in tabular form and supplemented with graphical forms. © 2023 by the authors.
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This paper adopts Leiper's ([1990]. Tourist attraction systems. Annals of Tourism Research, 17(3), 367–384. https://doi.org/10.1016/0160-7383(90)90004-B) tourism system theory to examine the impact of COVID-19 on Kenya's tourism sector. The authors argue that tourism remains an important source of national revenue in Kenya and the severe negative effects of the pandemic as well as the resulting government measures to curb the spread of the disease threaten to undermine the gains made in recent years to revive the sector. The paper identifies that while much emphasis has been put on the impact of the disease on countries' national health systems and its epidemiology, few studies have been conducted to examine the relationship between COVID 19 and the tourism sector, especially in developing countries. The paper provides researchers and practitioners with an analysis of the impact of COVID-19 on the social and economic dimensions of tourism in Kenya and concludes with a set of recommendations that can shape Kenya's post-pandemic tourism sector recovery plans.
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Success in improving the tourism industry's performance depends on support system facilities and the role of stakeholders. However, the role of stakeholders in increasing tourism potential to support tourism industry activities, especially in a dynamic environment, still needs further elucidation. Therefore, the main objective of this study was to identify the factors that influence the improvement of the tourism industry and to produce strategies for the tourism industry. In this study, we conducted empirical research that elaborated the impact of support system facilities, stakeholders, and environmental dynamism on how the tourism industry achieves optimal performance in environmental dynamism. Support system facilities factors include telecommunication, power sources, transportation, waste management, location, clean water sources, supporting industries, spatial factors, hospitality, safety, and security. This research was based on data from 203 respondents from SMEs located around the tourist area of Rembang Regency, Central Java, Indonesia. This research shows that the tourism industry in Rembang Regency can achieve optimal performance by utilizing and improving spatial factors, clean water sources, and telecommunication. Therefore, stakeholders and SMEs will benefit from support system facilities that can improve their performance in a dynamic tourism industry environment.
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Bali is one of the islands known as a tourist destination with the main purpose of traveling to Bali to enjoy the beauty of nature. Various tourist activities in Bali are well known both nationally and internationally. With so many types of tours available in Bali, travelers, especially first-time visitors, may need a guide on the tourist attractions they want to visit in Bali. However, some tourists, especially backpackers, backpackers are known to explore tourist attractions independently, freely, and with as little budget as possible. Concerning this statement and the decline in tourists to Bali due to the impact of the Covid-19 pandemic, the author decided to use the Haversine formula to develop a geographic information system for smart backpacker travel recommendations. with this problem. This Android application helps tourists travel from registration to tour guides. Implementing the Haversine formula in your app is equivalent to up to 88% of the distance reported by the Google Maps API. These results are used as a recommendation function for the selection of attractions by showing the distance between the previous backpacker's location selection and attractions. © 2022 IEEE.
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This case study describes a meaningful classroom-university Work Integrated Learning (WIL) collaboration that executed course and campus objectives in a novel peer-mentorship design and prepared future event management graduates for industry while navigating the COVID-19 pandemic.A unique collaboration between two event management university courses and the Campus Activities Team (CAT), a subsidiary of the Office of Student Engagement within University Student Affairs, was offered in Fall 2020 and Fall 2021. This WIL collaboration partnered with Senior Seminar (final year) student pairs with small groups of first-year, Introduction to Event Management students (2-5). Each Intro-Senior Seminar dyad received US$400.00 in financial support from CAT to create and implement engaging campus events. Across both semesters, 21 Intro-Senior Seminar dyads created, planned, implemented, and evaluated their campus CAT events.
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To analyze the epidemiological characteristics and related factors of norovirus in Guangxi from 2015 to 2020, and to provide scientific recommendations for norovirus prevention and control. Methods The foodborne diseases surveillance data were collected from 11 sentinel hospitals through the National Foodborne Disease Monitoring and Reporting System from 2015 to 2020. R software with version 4.0.3 was used for descriptive and statistical analysis, including epidemic curve, chi-square test, and trend chi-square and so on. Logistic regression was used to analyze norovirus-related factors, OR values and 95% confidence intervals were calculated respectively with the statistical test level of P < 0.05. Results There were 1 008 norovirus cases detected, with a detection rate of 12.75% (1 008/7 903). Children with age less than 5 years (OR=1.43, 95%CI: 1.13-1.82) and patients at age 20-45 (OR=1.45, 95%CI: 1.13-1.87) were high risk population. The detection rate was higher in autumn (OR=1.29, 95%CI: 1.08-1.53) but lower in summer (OR=0.67, 95%CI: 0.55-0.80). In addition, the tourist area (Guilin City) presented a higher detection rate than other areas (OR=1.41, 95%CI: 1.10-1.80). Aquatic products (OR=1.40, 95%CI: 1.03-1.91), meat and dairy products (OR=1.31, 95%CI: 1.06-1.61) were high-risk foods for norovirus infection. The prevention and control policies of COVID-19 can reduce the possibility of norovirus by 61% (OR=0.39, 95%CI: 0.31-0.49) showed a declining trend (Trend X2=85.33, P < 0.001). In addition, prolonged visit time can lead to 19%-23% decrease in the detection rate of norovirus (OR24-48 hours=0.81, 95%CI: 0.70-0.95;OR>48 hours=0.77, 95%CI: 0.63-0.93). Conclusions The epidemic of norovirus presented seasonal and regional distribution in Guangxi with a declining detection rate trend in diarrhea patients during recent 6 years. Young children were high-risk population in infection norovirus. The intake of seafood can increase the risk of norovirus infection. The prevention and control policies of COVID-19 can sharply decrease the possibility of infection norovirus. The monitoring of key foods such as seafood should be strengthened, and the early screening of suspected cases should be taken. The norovirus monitoring should be improved to ensure the health of the population.
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Universities are facing increased pressure to meet industry demands for work-ready graduates capable of succeeding in the future of work. In response, attention has been directed to experiential learning techniques and employability skill development within the curriculum. However, the success of such an approach relies on the ability to secure synergistic and sustainable partnerships with industry and community. This case explores the connections between technical, discipline-based skills learned in an undergraduate event management unit and transferable, generic employability skills developed by students in the course of their experiential learning. The unit is offered at Western Sydney University (WSU), Australia and features an extraordinary partnership with charity organisation Northcott Disability Services. The case study details the unique design features of this learning experience and how it contributes to positive stakeholder outcomes. This includes changes made in response to the Covid-19 pandemic.
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Tourism is one of the economic pillars of countries, including Indonesia. However, the Covid-19 pandemic has significantly affected the global tourism industry. Nevertheless, the government has taken measures during this pandemic to prepare tourist villages to drive Indonesian tourism. West Sumatra, a province in Indonesia designated as a halal tourist destination, is actively developing halal tourist villages such as the Koto Baru. In this village, there are many Minangkabau traditional cultural houses called Rumah Gadang (RG). However, these houses are yet to attract tourists due to a lack of information dissemination about the uniqueness of the RG. Therefore, GIS-Based RG Tools (GRT) has been developed in web and mobile GIS (Android platform). This research reports on the development of GRT, which is intended to answer the challenges of developing tourist villages using ICT, namely the use of ICT is still limited to data collection and promotional media only, and there is no integrated tourism village management system with tourist attractions. The GRT was developed using a research and development methodology. Additionally, its development included using the waterfall method whereby PostgreSQL/PostGIS, Bootstrap, PHP, B4A, and JavaScript software were used to design and code GRT. After being programmed, the GRT was tested for functionality, and it was concluded that the app is appropriate and meets the needs of tourists during their pre-trips or visitations to tourist sites. Further research should focus on developing tourism app modules following the uniqueness of halal tourism villages. © 2023, International Journal on Advanced Science, Engineering and Information Technology. All Rights Reserved.