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Sustainable Tourism in the Social Media and Big Data Era

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Tourism, Culture, and Heritage".

Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 134540

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Special Issue Editors


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Guest Editor
Department of Culture, Tourism and Content, Kyung Hee University, 26 Kyungheedae-ro, Hoegi-dong, Dongdaemun-gu, Seoul, Republic of Korea
Interests: tourism; media; cultural tourism; social network
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Culture, Tourism & Content, Kyung Hee University, 26 Kyungheedae-ro, Hoegi-dong, Dongdaemun-gu, Seoul, South Korea
Interests: culture tourism; sustainable tourism; travel culture; leisure behaviors; online communities; quality of life

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to discuss the major current topics concerning the use of social media and big data for sustainable tourism practices. Tourism is one of the world’s fastest growing industries and has widespread impacts on our environment, society, and economy. It creates economic benefits to host communities, encourages the preservation of cultural and natural heritages, and promotes a global understanding and peace to world citizens. Since tourism includes a variety of destination stakeholders and resources, however, it is crucial to develop tourism management strategies in a socially, culturally, environmentally, and economically sustainable manner. According to UNESCO (http://www.unesco.org/education/tlsf/mods/theme_c/mod16.html), the objectives of sustainable tourism are 1) to appreciate the benefits and problems arising from various forms of tourism, especially in terms of social equity and the environment; 2) to develop a critical awareness of the ways in which tourism can enhance the welfare of people and protect our natural and cultural heritage; 3) to promote a personal commitment to forms of tourism that maximize rather than detract from sustainable human development and environmental quality; and 4) to plan ways of teaching about sustainable tourism.

Social media has enabled system interoperability and dynamic information exchange among users, generating infinite possibilities to develop sustainable tourism strategies strongly based on the interconnectedness fundamental to the ecosystem idea. Also, information ecology for the tourism can be created by interrelationships between tourists, enterprises, technologies, and the surrounding information environment through information strategies, information-seeking behaviors, information management, and information architectures with social media. For example, governmental use of social media for local tourism can provide a map of information ecology, which refers to the interrelationships between relevant online sites (Park et al., 2016).

Big data also leads to develop new types of tourism business models and products through dynamic connections with outside stakeholders, resource and knowledge exchange, new customer relationship modes, innovative revenue streams and new value propositions. And it builds business ecosystem interconnectedness by enabling through collaboration, transparency and trust established with customers and stakeholders (Vecchio et al., 2017).

This Special Issue of Sustainability entitled ‘Sustainable Tourism in the Social Media and Big Data Era’ intends to encourage exciting and innovative interdisciplinary discussions among researchers with regards to major current trends in social media and big data research primarily focusing on sustainable tourism. The following includes the examples of topics:

  • Positive or negative impacts of social media / big data on sustainable tourism in terms of social equity and the environment
  • Stakeholders’ and/or tourists' uses of social media / big data to promote responsible behaviors for sustainable tourism
  • Roles of social media / big data in sustainable tourism practices for protecting our natural and cultural heritage
  • New business models with social media/ big data for sustainable tourism
  • Connectedness and interrelationships via social media / big data in sustainable tourism for enhancing the welfare of local residents and tourists
  • Social changes through enriched interactions via social media and big data technologies in terms of sustainable tourism
  • Innovative applications of social media / big data for sustainable tourism development
  • Relationships between information ecology via social media / big data and sustainable tourism
  • New research methods for sustainable tourism in social media and big data era

References

Park, J.; Lee, C.; Yoo, C.; Nam, Y. An analysis of the utilization of Facebook by local Korean governments for tourism development and the network of smart tourism ecosystem. International Journal of Information Management. 2016, 36, 1320-1327.

Del Vecchio, P.; Mele, G.; Ndou, V.; Secundo, G.  Creating value from social big data: Implications for smart tourism destinations. Information Processing and Management. 2018, 54, 847-860.

Prof. Dr. Yoonjae Nam
Prof. Dr. So Young Bae
Guest Editors

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Keywords

  • Sustainable tourism
  • Ecotourism
  • Cultural heritage tourism
  • Social media
  • Big data
  • Environment
  • Social equity
  • Social responsibility
  • Connectedness
  • Interrelationships

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Published Papers (15 papers)

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18 pages, 3284 KiB  
Article
Analyzing Spatial Variance of Airbnb Pricing Determinants Using Multiscale GWR Approach
by Insu Hong and Changsok Yoo
Sustainability 2020, 12(11), 4710; https://doi.org/10.3390/su12114710 - 9 Jun 2020
Cited by 30 | Viewed by 5465
Abstract
A sharing economy accommodation service like Airbnb, which provides trust between strangers to connect them for profiting from underutilized assets, was born and has thrived thanks to the innovations in the platform technology. Due to the unique structure of Airbnb, the pricing strategies [...] Read more.
A sharing economy accommodation service like Airbnb, which provides trust between strangers to connect them for profiting from underutilized assets, was born and has thrived thanks to the innovations in the platform technology. Due to the unique structure of Airbnb, the pricing strategies of hosts are very different from the conventional hospitality industry. However, existing Airbnb pricing studies have limitations considering the varying scale of operation among hosts, spatial variances in pricing strategies, and crucial geographic information for estimating the influence of the pricing variables, as well as ignoring inter-city variances. In this research, we explored the spatially heterogeneous relationship between price and pricing variables using an innovative spatial approach, Multiscale Geographically Weighted Regression (MGWR). Analysis results for Airbnb listing in Log Angeles and New York in the US showed the effectiveness of MGWR regarding estimating the influence of pricing variables spatially. By revealing spatially heterogeneous and dependent relationships, this research fills gaps in Airbnb pricing research and deepens the understanding of the pricing strategies of the hosts. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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13 pages, 490 KiB  
Article
Relationship between Viewing Motivation, Presence, Viewing Satisfaction, and Attitude toward Tourism Destinations Based on TV Travel Reality Variety Programs
by Bo-Kyeong Kim and Kyoung-Ok Kim
Sustainability 2020, 12(11), 4614; https://doi.org/10.3390/su12114614 - 5 Jun 2020
Cited by 15 | Viewed by 5414
Abstract
The purpose of this study was to clarify the relationship between viewing motivation for reality programs and the viewing experience (presence) during watching, viewing satisfaction after watching, and attitudes toward presented tourism destinations. While this study notes that the empirical verification of travel [...] Read more.
The purpose of this study was to clarify the relationship between viewing motivation for reality programs and the viewing experience (presence) during watching, viewing satisfaction after watching, and attitudes toward presented tourism destinations. While this study notes that the empirical verification of travel reality variety programs is insufficient, various discussions are presented with regard to the grip of reality variety program fever in Korea. Notably, viewers are interested in the emotional experience related to characters and tourism destinations in reality variety programs. Therefore, we asked the following questions: (1) What kind of motivation encourages viewers to watch reality variety programs? (2) How does motivation for viewing a reality variety program affect viewing satisfaction through a certain approach (presence)? (3) How does viewing satisfaction affect one’s attitude toward a program’s tourism destinations? To answer these questions, we conducted a survey of 358 viewers of travel reality variety programs. The results of this study are as follows: (1) viewing motivation for travel reality variety programs consists of five factors: vicarious gratification, entertainment, information-seeking, habitual time-spending, and socializing; (2) it was confirmed that the effect of these five factors on satisfaction was mediated by presence (viewing experience); and (3) viewing satisfaction through presence affected the subsequent attitude toward presented tourism destinations. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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19 pages, 1989 KiB  
Article
An Analysis of the Sustainable Tourism Value of Graffiti Tours through Social Media: Focusing on TripAdvisor Reviews of Graffiti Tours in Bogota, Colombia
by Hwayoon Seok, Yeajin Joo and Yoonjae Nam
Sustainability 2020, 12(11), 4426; https://doi.org/10.3390/su12114426 - 29 May 2020
Cited by 19 | Viewed by 6082
Abstract
This study attempts to analyze the value of graffiti tours from the perspective of sustainable tourism by examining actual reviews by social media users using text mining and social network analysis. The text mining technique indicates that “artist,” “history,” “political,” “culture,” “social,” “city,” [...] Read more.
This study attempts to analyze the value of graffiti tours from the perspective of sustainable tourism by examining actual reviews by social media users using text mining and social network analysis. The text mining technique indicates that “artist,” “history,” “political,” “culture,” “social,” “city,” “background,” “great,” “recommend,” “excellent”, and “worth,” are frequently used keywords for the reviews. When comparing word frequencies per review between 2013–2016 and 2017–2019, the results show that the words, “history,” “political,” “culture,” and “social,” have been more frequently used over time. Furthermore, the network visualization shows that those words connoting socio-cultural sustainability are mutually connected. Therefore, the study suggests that graffiti tours can have potential for assuming the role of sustainable tourism, since the keywords from reviews are associated with the perspective of socio-cultural sustainability. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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14 pages, 458 KiB  
Article
The Moderating Effect of Social Media Use on Sustainable Rural Tourism: A Theory of Planned Behavior Model
by Yeajin Joo, Hwayoon Seok and Yoonjae Nam
Sustainability 2020, 12(10), 4095; https://doi.org/10.3390/su12104095 - 17 May 2020
Cited by 76 | Viewed by 16429
Abstract
Using the theory of planned behavior (TPB) model, this research aimed to investigate which important factors affect the potential behavior of rural tourism tourists. It also sought to identify the effects of social networking service (SNS) use on the rural tourism using TPB [...] Read more.
Using the theory of planned behavior (TPB) model, this research aimed to investigate which important factors affect the potential behavior of rural tourism tourists. It also sought to identify the effects of social networking service (SNS) use on the rural tourism using TPB model. For analysis, a partial least squares-structural equation model (PLS-SEM) was used. The results revealed that tourists were influenced by subjective norm and perceived behavior control, of which the effect of subjective norm was greater. Consumers’ use of SNS played a notable role in contributing to the strength of the relationship between intention to visit and subjective norm. Promoters and marketers of sustainable tourism can use the results to make more effective decisions in their businesses. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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27 pages, 6128 KiB  
Article
Importance of Social Media in the Image Formation of Tourist Destinations from the Stakeholders’ Perspective
by Carlos de las Heras-Pedrosa, Elena Millan-Celis, Patricia P. Iglesias-Sánchez and Carmen Jambrino-Maldonado
Sustainability 2020, 12(10), 4092; https://doi.org/10.3390/su12104092 - 17 May 2020
Cited by 29 | Viewed by 10738
Abstract
This research aimed to provide a more informed and systematic basis on which to develop the positioning strategy in social media due to the interactive capacity and influence that social media has in the success of tourist destinations. In particular, we investigated the [...] Read more.
This research aimed to provide a more informed and systematic basis on which to develop the positioning strategy in social media due to the interactive capacity and influence that social media has in the success of tourist destinations. In particular, we investigated the role of stakeholders. We carried out an exploratory study using a mixed method which included interviews and an analysis of the activity conducted on the official social media accounts (Facebook, Twitter, and Instagram) of the Spanish regions of Andalusia, Catalonia, and Valencia. The findings provide insight into how tourist destinations promote their image through the use of social media. Social media was found to be a strategic platform for enhancing brand image and achieving tourist engagement. Additionally, the role of stakeholders in supporting and facilitating the image destination strategy is worth highlighting. This study shows that the results achieved by social media can be improved by identifying all stakeholders and defining a content generation strategy by integrating and adding value. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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10 pages, 210 KiB  
Article
Influences of SNS (Social Network Service) Uses and Musical Consumption on City Branding: A Focus on Broadway, New York and the West End, London
by Jongwon Won, Jong Yoon Lee and Jong Woo Jun
Sustainability 2020, 12(9), 3856; https://doi.org/10.3390/su12093856 - 9 May 2020
Cited by 6 | Viewed by 3607
Abstract
This study explored the role the musical industry plays in creating city brand images. The results showed that younger consumers were found to have more favorable visit intentions in New York and London due to their image as musical cities. Instagram users wanted [...] Read more.
This study explored the role the musical industry plays in creating city brand images. The results showed that younger consumers were found to have more favorable visit intentions in New York and London due to their image as musical cities. Instagram users wanted to visit New York, but Twitter users had negative visit intentions in New York. Sensation-seeking orientation toward musicals influenced visit intention in New York. Broadway familiarity was linked to visit intention. In London, only sensation-seeking orientation influenced visit intention. Uses of SNS did not influence London visit intention and West End familiarity was not related to London visit intention. These results could provide academic and managerial implications for city branding. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
19 pages, 2853 KiB  
Article
A Research on the Combination of Oblique Photography and Mobile Applications Based on the Sustainable Development of Tourism
by Mengyi Lin, Fu-Yuan Li and Haibin Zhou
Sustainability 2020, 12(9), 3501; https://doi.org/10.3390/su12093501 - 25 Apr 2020
Cited by 11 | Viewed by 4521
Abstract
Tourism is one of the world’s fastest driving forces of economic development, playing an important role in achieving sustainable development goals. In modern society, mobile social media is a communication and decision-making platform for users and a source of big data information about [...] Read more.
Tourism is one of the world’s fastest driving forces of economic development, playing an important role in achieving sustainable development goals. In modern society, mobile social media is a communication and decision-making platform for users and a source of big data information about travel. Obtaining and analyzing travel data can provide customer-oriented information about travel destinations and comprehensive services for both tourism operators and tourists. It has a positive impact on the sustainable development of society, economy, environment, and humanities. Starting with theoretical analysis and empirical research, this study combines social media and oblique photography, conducts a case study of the Pingtan comprehensive experimental area in China, and develops an app about online travelling to provide corresponding information for consumers’ decisions. This study also discusses the potential value of the app, i.e., assisting the development of smart travel in city, achieving sustainable development of tourism, and contributing to tourism globally. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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19 pages, 443 KiB  
Article
A Study on the Effects of Crowdfunding Values on the Intention to Visit Local Festivals: Focusing on Mediating Effects of Perceived Risk and e-WOM
by Hun Kim and Byenghee Chang
Sustainability 2020, 12(8), 3264; https://doi.org/10.3390/su12083264 - 17 Apr 2020
Cited by 28 | Viewed by 5522
Abstract
Information technology is recognized as an important means of expanding the sustainability of local festivals, but most research and practices only focus on existing information technologies such as websites and social network services. This study examines the potential of crowdfunding platforms to ensure [...] Read more.
Information technology is recognized as an important means of expanding the sustainability of local festivals, but most research and practices only focus on existing information technologies such as websites and social network services. This study examines the potential of crowdfunding platforms to ensure the success of local festivals and assesses how emerging information technologies impact the sustainability of the tourism industry. This study proposed four values based on the value theory that is frequently applied in consumer research. We also applied inner innovativeness as a personal characteristic and examined the effects of economic, emotional, social, altruistic, and inner innovativeness regarding film festival crowdfunding on the intention to visit the film festival. We applied perceived risk and the intention to use electronic word of mouth (e-WOM) as mediating variables. As a result, emotional, social, and altruistic values were found to significantly affect the intention to visit film festivals by mediating perceived risk. In addition, the social value was found to have positive effects on the dependent variable through the intention to use e-WOM. The results show that crowdfunding platforms are considered an important tool for promoting the festival. It is also important to develop value in favor of the festival by increasing value through marketing strategies. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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15 pages, 948 KiB  
Article
A Sustainable Solution to Overtourism in the Social Media Era: An Exploratory Analysis on the Roles and Functions of Place–Visitor Relationship (PVR)
by Hyung Min Lee, Jinwoo Park and Yoonjae Nam
Sustainability 2020, 12(7), 3043; https://doi.org/10.3390/su12073043 - 10 Apr 2020
Cited by 4 | Viewed by 5429
Abstract
As overtourism has become a serious threat to the tourism industry in recent years, this study attempts to extend the theoretical framework of organization-public relationship (OPR) developed in the public relations scholarship to the context of overtourism. To that end, the concept of [...] Read more.
As overtourism has become a serious threat to the tourism industry in recent years, this study attempts to extend the theoretical framework of organization-public relationship (OPR) developed in the public relations scholarship to the context of overtourism. To that end, the concept of place–visitor relationship (PVR) is theoretically suggested and empirically tested in a structural equation model. Also, statistical reliability and validity of PVR are put under investigation. The findings helped confirm the roles and functions of PVR as a potential solution to overtourism in the social media era. As an antecedent, visitors’ affective tour experiences stemming from exposure to social media information significantly influenced PVR. PVR, on the other hand, significantly affected attitudes toward a place and, further, behavioral intentions toward measures against overtourism. In addition, the findings revealed that PVR consists of two sub-factors: Loyalty and relational attachment. Relationship strategies as a solution to the issue of overtourism are discussed in light of PVR. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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17 pages, 689 KiB  
Article
Considering Cultural Consonance in Trustworthiness of Online Hotel Reviews among Generation Y for Sustainable Tourism: An Extended TAM Model
by So Young Bae and Ju Hyoung Han
Sustainability 2020, 12(7), 2942; https://doi.org/10.3390/su12072942 - 7 Apr 2020
Cited by 21 | Viewed by 5057
Abstract
This study aims to predict Generation Y customers’ acceptance of user-generated content (UGC) websites by integrating an extended technology acceptance model (TAM), trustworthiness of online reviews, and cultural consensus and cultural consonance theory. To collect data, a free listing method was first used [...] Read more.
This study aims to predict Generation Y customers’ acceptance of user-generated content (UGC) websites by integrating an extended technology acceptance model (TAM), trustworthiness of online reviews, and cultural consensus and cultural consonance theory. To collect data, a free listing method was first used to recognize our ad hoc domain, i.e., the factors that determine the trustworthiness of online hotel reviews among Generation Y in South Korea, from an emic perspective. Based on the free listing results from 39 individuals, an online survey was conducted with 273 samples using a self-administered questionnaire. Cultural consensus analysis was conducted to determine whether there is a shared cultural model in trustworthiness factors among participants, and cultural consonance values were calculated. Then, a structural equation modeling technique was used to estimate how the proposed model explains the collected data. Results indicate that an agreed-upon cultural model of trustworthiness of online hotel reviews exists among sample members. Cultural consonance of trustworthiness was found to constitute a significant antecedent of perceived ease of use and attitude towards websites in the extended TAM model. This study can contribute to predict Generation Y customers’ acceptance of UGC websites and offer meaningful implications for sustainable tourism management, particularly when cultural variables are considered. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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15 pages, 894 KiB  
Article
Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation
by Ian Sutherland, Youngseok Sim, Seul Ki Lee, Jaemun Byun and Kiattipoom Kiatkawsin
Sustainability 2020, 12(5), 1821; https://doi.org/10.3390/su12051821 - 28 Feb 2020
Cited by 64 | Viewed by 7339
Abstract
There is a lot of attention given to the determinants of guest satisfaction and consumer behavior in the tourism literature. While much extant literature uses a deductive approach for identifying guest satisfaction dimensions, we apply an inductive approach by utilizing large unstructured text [...] Read more.
There is a lot of attention given to the determinants of guest satisfaction and consumer behavior in the tourism literature. While much extant literature uses a deductive approach for identifying guest satisfaction dimensions, we apply an inductive approach by utilizing large unstructured text data of 104,161 online reviews of Korean accommodation customers to frame which topics of interest guests find important. Using latent Dirichlet allocation, a generative, Bayesian, hierarchical statistical model, we extract and validate topics of interest in the dataset. The results corroborate extant literature in that dimensions, such as location and service quality, are important. However, we extend existing dimensions of importance by more precisely distinguishing aspects of location and service quality. Furthermore, by comparing the characteristics of the accommodations in terms of metropolitan versus rural and the type of accommodation, we reveal differences in topics of importance between different characteristics of the accommodations. Specifically, we find a higher importance for points of competition and points of uniqueness among the accommodation characteristics. This has implications for how managers can improve customer satisfaction and how researchers can more precisely measure customer satisfaction in the hospitality industry. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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18 pages, 1034 KiB  
Article
The Effect of Social Media Usage Characteristics on e-WOM, Trust, and Brand Equity: Focusing on Users of Airline Social Media
by Eun Ju Seo, Jin-Woo Park and Yu Jin Choi
Sustainability 2020, 12(4), 1691; https://doi.org/10.3390/su12041691 - 24 Feb 2020
Cited by 91 | Viewed by 22941
Abstract
Brand equity is a valuable intangible asset for companies, yet is increasingly difficult in managing in an era with hard to control social media. The purpose of this study was to investigate the effect of social media usage characteristics on electronic word-of-mouth (e-WOM), [...] Read more.
Brand equity is a valuable intangible asset for companies, yet is increasingly difficult in managing in an era with hard to control social media. The purpose of this study was to investigate the effect of social media usage characteristics on electronic word-of-mouth (e-WOM), trust, and brand equity by dividing the characteristics to personality, social, and information. A survey was administered to 430 respondents who had experience of using airline social media and the collected data was analyzed using structural equation modeling. The results showed that the personality and informational characteristics from social media usage had statistically significant effects on e-WOM. It was found that the e-WOM had significant effects on trust and also on brand awareness. The trust was shown to have a statistically significant effect on brand awareness and brand image. Therefore, this study categorizes social media usage characteristics into three characteristics: personality characteristics, social characteristics, and information characteristics, and each of these usage characteristics present a strategy to improve actual brand equity of airline through e-WOM and trust in empirical methods. The findings of this study are expected to provide fundamental data for the development of strategies related to airline social media. In addition, this study has implications for suggesting to improve brand equity through e-WOM and trust. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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29 pages, 4278 KiB  
Article
Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest
by Bidur Devkota, Hiroyuki Miyazaki, Apichon Witayangkurn and Sohee Minsun Kim
Sustainability 2019, 11(17), 4718; https://doi.org/10.3390/su11174718 - 29 Aug 2019
Cited by 46 | Viewed by 5568
Abstract
Easy, economical, and near-real-time identification of tourism areas of interest is useful for tourism planning and management. Numerous studies have been accomplished to analyze and evaluate the tourism conditions of a place using free and near-real-time data sources such as social media. This [...] Read more.
Easy, economical, and near-real-time identification of tourism areas of interest is useful for tourism planning and management. Numerous studies have been accomplished to analyze and evaluate the tourism conditions of a place using free and near-real-time data sources such as social media. This study demonstrates the potential of volunteered geographic information, mainly Twitter and OpenStreetMap, for discovering tourism areas of interest. Active tweet clusters generated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm and building footprint information are used to identify touristic places that ensure the availability of basic essential facilities for travelers. Furthermore, an investigation is made to examine the usefulness of nighttime light remotely sensed data to recognize such tourism areas. The study successfully discovered important tourism areas in urban and remote regions in Nepal which have relatively low social media penetration. The effectiveness of the proposed framework is examined using the F1 measure. The accuracy assessment showed F1 score of 0.72 and 0.74 in the selected regions. Hence, the outcomes of this study can provide a valuable reference for various stakeholders such as tourism planners, urban planners, and so on. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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19 pages, 537 KiB  
Article
Shared Short-Term Rentals for Sustainable Tourism in the Social-Network Age: The Impact of Online Reviews on Users’ Purchase Decisions
by Jie Zhao and Zhixiang Peng
Sustainability 2019, 11(15), 4064; https://doi.org/10.3390/su11154064 - 28 Jul 2019
Cited by 11 | Viewed by 4876
Abstract
With the development of social networks and the Internet-based sharing economy, shared short-term rentals are emerging as a new kind of service that provides a convenient way for people to buy short-term rental services in cities through social-network-enabled platforms. However, like other social-network-based [...] Read more.
With the development of social networks and the Internet-based sharing economy, shared short-term rentals are emerging as a new kind of service that provides a convenient way for people to buy short-term rental services in cities through social-network-enabled platforms. However, like other social-network-based services, shared short-term rental is also likely to be impacted by online reviews. This paper aims to investigate the impact of online reviews on users’ purchase decisions toward shared short-term rentals, and further to provide optimization suggestions for the future advance of shared short-term rentals. The contributions of this paper are many-fold. First, we introduce the Stimuli-Organism-Response (SOR) model into the study and propose new variables for the model, including stimulus variables, organism variables, response variable, and moderating variables. Second, we propose eight hypotheses to evaluate the impact of online reviews on users’ purchase decisions toward shared short-term rentals. Finally, we collect data through a questionnaire survey and present comprehensive results on many aspects. Based on the data analysis, we find out that the quality of online reviews impacts users’ perceived value and perceived risk, which in turn impacts users’ purchase decisions toward shared short-term rentals. In addition, the cognitive needs of users can adjust the impact of online reviews on the perceived risk of users but have no explicit adjusting effect for users’ perceived value. Further, we present some research implications as well as suggestions for rental platforms to advance shared short-term rentals in the Internet age. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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15 pages, 1488 KiB  
Concept Paper
Smart Tourism City: Developments and Transformations
by Pam Lee, William Cannon Hunter and Namho Chung
Sustainability 2020, 12(10), 3958; https://doi.org/10.3390/su12103958 - 12 May 2020
Cited by 139 | Viewed by 22774
Abstract
Cities and tourism entities invest massive resources into smart system initiatives as information technologies are a key factor for a city’s destination competitiveness. Moreover cities around the world are increasingly recognizing the smart tourism city concept and related strategies as means of optimizing [...] Read more.
Cities and tourism entities invest massive resources into smart system initiatives as information technologies are a key factor for a city’s destination competitiveness. Moreover cities around the world are increasingly recognizing the smart tourism city concept and related strategies as means of optimizing sustainable environments. Particularly for cities facing emerging issues of residents’ negative perceptions towards tourism, smart tourism city empowers a city to rise to this challenge by creating urban spaces that residents and visitors can enjoy together. However, smart tourism city research initiatives still fail to address the full spectrum of related and potential developments. This study presents a conceptual approach to defining smart tourism city: the smart city and its components are defined and contrasted with smart tourism and its components. The resulting convergence—smart tourism city—is then examined in light of a number of pioneering examples of smart tourism cities and its vital roles in the age of sustainable development. The main purpose of this study is to show the interests of locals and tourists context and the roles of ‘smart’ government leadership to researchers and practitioners. Full article
(This article belongs to the Special Issue Sustainable Tourism in the Social Media and Big Data Era)
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