Emerging Social Media and Social Networks Analysis Transforms the Tourism Industry: Living Green Smart Tourism Ecosystem

Tsai, Tsai-Hsuan; Lin, Yu Chang; Yu, Ming-Chun; Lien, Pei-Jung; Yan, Wei‐Cheng; Ho, Wei-Ling

doi:10.1007/978-3-319-92052-8_46

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Tsai et al (2018) believe that current relationships between smart travel and the tourism industry are limited to information exchange and it is difficult to reinforce mutual cooperation between businesses in the industry. In their study, Ivars et al (2017) refer to a structure based on three internal levels they categorize as the strategic-communicative level, instrumental level and applied level in the smart destination model.…”

Section: Research Categories Of Smart Tourism Destinationsmentioning

confidence: 99%

“…Boes et al (2015) and Buhalis and Amaranggana (2013) suggest that the structure of a tourism destination is composed of a supply-demand system, and the achievement of a destination depends on the growth of major identified capital including attractions, accessibility, amenities, available packages, activities and ancillary services. Tsai et al (2018) believe that current relationships between smart travel and the tourism industry are limited to information exchange and it is difficult to reinforce mutual cooperation between businesses in the industry. In their study, refer to a structure based on three internal levels they categorize as the strategic-communicative level, instrumental level and applied level in the smart destination model.…”

Section: Stakeholdersmentioning

confidence: 99%

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Smart tourism destinations: a systematic review

Shafiee

Ghatari

Hasanzadeh

et al. 2021

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Purpose This study aims to present a systematic review of smart tourism articles using a meta-synthesis method. Effective systematic reviews are essential for assisting stakeholders in implementing smart destinations. A systematic comprehension of studies on smart tourism is needed regarding the various components of smart tourism destinations, the metrics to map these components and their expected results. This study creates a framework for understanding how smart tourism destinations are theorized and developed. Design/methodology/approach Based on the meta-synthesis approach, this study collects, analyzes and synthesizes relevant research in smart tourism published in online databases by following a predetermined review protocol. Findings This study contributes to the discourse on smart tourism destinations by increasing the knowledge on the subject of smart destinations in regard to different categories. The selected articles were analyzed according to the proposed research questions and classified into three main categories: components, measurement and outputs. This study presents a new archetype for developing smart destinations and addresses efforts to bridge the gap in this research field. Practical implications This paper is noteworthy for stakeholders because it provides a comprehensive vision into the components that influence the growth of smart destinations. The advantage of the proposed methodology is that it creates a framework for understanding how smart destinations are theorized. Furthermore, it is helpful to use qualitative methodologies that efficiently allow the analysis of related literature and that also offer conceptual insights. Originality/value The findings provide information that can be used to help shape a fully conceptualized understanding of the smart destinations concept and can also prove important in providing a guide for policymakers and stakeholders in the tourism industry who seek to intelligently develop tourism destinations.

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Section: Research Categories Of Smart Tourism Destinationsmentioning

confidence: 99%

Section: Stakeholdersmentioning

confidence: 99%

Smart tourism destinations: a systematic review

Shafiee

Ghatari

Hasanzadeh

et al. 2021

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“…Fourth, utilizing the smart tourism ecosystem model as the framework, using SNS social computing formula as the theoretical basis, it has been established the Living Green tourism ecosystem, which enable to enhance relation between business and the smart travel itinerary recommendation in order to support improvement of the entire industry (Tsai et al, 2018).…”

Section: Smart Tourismmentioning

confidence: 99%

A systematic literature review on the use of big data for sustainable tourism

Rahmadian

Feitosa

Zwitter

2021

Current Issues in Tourism

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Sustainable tourism research focuses on mitigating or remediating environmental, social and economic impacts on tourism. In the past years, Big Data approaches have been applied to the field of tourism allowing for remarkable progress. However, there seems to be little evidence to support that such approaches are an inspiration to sustainable tourism and are being implemented. In this context, we aim to obtain a comprehensive overview of the use of Big Data in sustainable tourism to address various issues and understand how Big Data can support decision-making in such scenarios. To that end, this paper reports on the results of a literature review via a combination of a Systematic Literature Review (SLR) in Software Engineering, and the use of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. In summary, we investigated four facets: (a) sources of big data, (b) approaches, (c) purposes, and (d) contexts of application. The results suggest that the use of various approaches have impacted practices in sustainable tourism. The findings provide a thorough understanding of the state of the art of Big Data application in sustainable tourism and provide valuable insights to foster growth both in terms of research and practice.

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“…Smart ecotourism technologies include advanced ICTs and other strategic tools used in developing solutions for ecotourism. Advanced ICTs can play an important role in facilitating ecotourism (Gretzel et al, 2015;Katsoni & Dologlou, 2017;Li et al, 2017;Nisi et al, 2019), for instance in managing destination resources, visualizing sites and attractions, providing tourism education, collaborating with local businesses at the destination, providing information to tourists and planning transport routes to protect and maintain the natural environment (Ali & Frew, 2010;Bizirgianni & Dionysopoulou, 2013;Bowser et al, 2014;Katsoni & Dologlou, 2016) and the use of social media and mobile apps to allow travellers to communicate and increase their ability to obtain information (Hunter et al, 2015;Tsai et al, 2018). For example, when people use social media or mobile phone apps to share their experiences through location-based services, other tourists and local residents also obtain information.…”

Section: Role Of Smart Ecotourism-related Applicationmentioning

confidence: 99%

Smart application of learning ecotourism for young eco-tourists

Chai-Arayalert

2020

Cogent Social Sciences

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Ecotourism is supposed to make efficient, responsible and sustainable use of tourism resources at the destination. The aims of ecotourism can be accomplished by encouraging the appropriate activities, enhancing eco-tourist experiences, and managing tourism resources in a sustainable manner. Smart ecotourism application refers to the innovative tools and approaches to improve the ecotourism practices and experiences. The smart application focusing ecotourism aspect has emerged as a result of the rise of Information and Communication Technologies (ICTs) and the need for sustainability. This study emphasis on young people who are likely to be first-time eco-tourists or to have little experience of ecotourism. However, young people are a great capacity to spread ecotourism awareness both in the present and the future. This study was designed and developed a smart application which aimed to allow young people to learn about ecotourism. This research was conducted using a qualitative approach, utilizing a case study in Klong Noi Community in Surat Thani Thailand. The results of this study will contribute to the current ecotourism literature and broaden understanding of the ICTs-based ecotourism, particularly on the Thailand context. Moreover, they will provide suggestions for ecotourism business in Thailand to develop the smart application attractive to the targets of young people.

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Emerging Social Media and Social Networks Analysis Transforms the Tourism Industry: Living Green Smart Tourism Ecosystem

Cited by 5 publications

References 6 publications

Smart tourism destinations: a systematic review

Smart tourism destinations: a systematic review

A systematic literature review on the use of big data for sustainable tourism

Smart application of learning ecotourism for young eco-tourists

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