Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem

Tsai Hsuan Tsai; Hsien Tsung Chang; Yu Wen Lin; Ming Chun Yu; Pei Jung Lien; Wei Cheng Yan; Wei Ling Ho

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

Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem

Tsai Hsuan Tsai^*, Hsien Tsung Chang, Yu Wen Lin, Ming Chun Yu, Pei Jung Lien, Wei Cheng Yan, Wei Ling Ho

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

Using the smart tourism ecosystem model as its framework as well as the strength of ties theory and the SNS social computing formula as a theoretical basis, this study establishes the Living Green tourism ecosystem to improve connections between businesses and the smart travel itinerary recommendation mechanism to promote the development of the entire industry. The Living Green tourism ecosystem has two major innovative features. (1) Visualizing industrial activity intensity and social connection intensity between businesses can not only help clearly understand the development of local businesses and assist in evaluating the effectiveness of industry development but also provide a reference for destination marketing organizations or relevant government agencies in terms of supporting the development of disadvantaged business segments. (2) The application of social media and social networks analysis helps implement the travel and tourism industry’s development strategies. Based on businesses’ social behaviors and interaction modes on social platforms, the tourism ecosystem calculates industrial connection intensity, uses it as an index for smart travel itinerary recommendations, and further enhances the overall promotion and development of the travel and tourism industry network.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings
Editors	Margherita Antona, Constantine Stephanidis
Publisher	Springer Verlag
Pages	583-590
Number of pages	8
ISBN (Print)	9783319920511
DOIs	https://doi.org/10.1007/978-3-319-92052-8_46
State	Published - 2018
Event	12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018 - Las Vegas, United States Duration: 15 07 2018 → 20 07 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10908 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018
Country/Territory	United States
City	Las Vegas
Period	15/07/18 → 20/07/18

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Keywords

Green tourism
Mobile application
Smart tourism ecosystem
Social networking activity intensity
Strength of ties theory

Access to Document

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

Cite this

Tsai, T. H., Chang, H. T., Lin, Y. W., Yu, M. C., Lien, P. J., Yan, W. C., & Ho, W. L. (2018). Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings (pp. 583-590). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10908 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-92052-8_46

Tsai, Tsai Hsuan ; Chang, Hsien Tsung ; Lin, Yu Wen et al. / Emerging social media and social networks analysis transforms the tourism industry : Living green smart tourism ecosystem. Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Springer Verlag, 2018. pp. 583-590 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c378f9b465f749bd809f2f7c794e2769,

title = "Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem",

abstract = "Using the smart tourism ecosystem model as its framework as well as the strength of ties theory and the SNS social computing formula as a theoretical basis, this study establishes the Living Green tourism ecosystem to improve connections between businesses and the smart travel itinerary recommendation mechanism to promote the development of the entire industry. The Living Green tourism ecosystem has two major innovative features. (1) Visualizing industrial activity intensity and social connection intensity between businesses can not only help clearly understand the development of local businesses and assist in evaluating the effectiveness of industry development but also provide a reference for destination marketing organizations or relevant government agencies in terms of supporting the development of disadvantaged business segments. (2) The application of social media and social networks analysis helps implement the travel and tourism industry{\textquoteright}s development strategies. Based on businesses{\textquoteright} social behaviors and interaction modes on social platforms, the tourism ecosystem calculates industrial connection intensity, uses it as an index for smart travel itinerary recommendations, and further enhances the overall promotion and development of the travel and tourism industry network.",

keywords = "Green tourism, Mobile application, Smart tourism ecosystem, Social networking activity intensity, Strength of ties theory",

author = "Tsai, {Tsai Hsuan} and Chang, {Hsien Tsung} and Lin, {Yu Wen} and Yu, {Ming Chun} and Lien, {Pei Jung} and Yan, {Wei Cheng} and Ho, {Wei Ling}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018 ; Conference date: 15-07-2018 Through 20-07-2018",

year = "2018",

doi = "10.1007/978-3-319-92052-8_46",

language = "英语",

isbn = "9783319920511",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "583--590",

editor = "Margherita Antona and Constantine Stephanidis",

booktitle = "Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings",

address = "德国",

}

Tsai, TH , Chang, HT, Lin, YW, Yu, MC, Lien, PJ, Yan, WC & Ho, WL 2018, Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem. in M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10908 LNCS, Springer Verlag, pp. 583-590, 12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018, Las Vegas, United States, 15/07/18. https://doi.org/10.1007/978-3-319-92052-8_46

Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem. / Tsai, Tsai Hsuan ; Chang, Hsien Tsung; Lin, Yu Wen et al.
Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Springer Verlag, 2018. p. 583-590 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10908 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Emerging social media and social networks analysis transforms the tourism industry

T2 - 12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018

AU - Tsai, Tsai Hsuan

AU - Chang, Hsien Tsung

AU - Lin, Yu Wen

AU - Yu, Ming Chun

AU - Lien, Pei Jung

AU - Yan, Wei Cheng

AU - Ho, Wei Ling

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - Using the smart tourism ecosystem model as its framework as well as the strength of ties theory and the SNS social computing formula as a theoretical basis, this study establishes the Living Green tourism ecosystem to improve connections between businesses and the smart travel itinerary recommendation mechanism to promote the development of the entire industry. The Living Green tourism ecosystem has two major innovative features. (1) Visualizing industrial activity intensity and social connection intensity between businesses can not only help clearly understand the development of local businesses and assist in evaluating the effectiveness of industry development but also provide a reference for destination marketing organizations or relevant government agencies in terms of supporting the development of disadvantaged business segments. (2) The application of social media and social networks analysis helps implement the travel and tourism industry’s development strategies. Based on businesses’ social behaviors and interaction modes on social platforms, the tourism ecosystem calculates industrial connection intensity, uses it as an index for smart travel itinerary recommendations, and further enhances the overall promotion and development of the travel and tourism industry network.

AB - Using the smart tourism ecosystem model as its framework as well as the strength of ties theory and the SNS social computing formula as a theoretical basis, this study establishes the Living Green tourism ecosystem to improve connections between businesses and the smart travel itinerary recommendation mechanism to promote the development of the entire industry. The Living Green tourism ecosystem has two major innovative features. (1) Visualizing industrial activity intensity and social connection intensity between businesses can not only help clearly understand the development of local businesses and assist in evaluating the effectiveness of industry development but also provide a reference for destination marketing organizations or relevant government agencies in terms of supporting the development of disadvantaged business segments. (2) The application of social media and social networks analysis helps implement the travel and tourism industry’s development strategies. Based on businesses’ social behaviors and interaction modes on social platforms, the tourism ecosystem calculates industrial connection intensity, uses it as an index for smart travel itinerary recommendations, and further enhances the overall promotion and development of the travel and tourism industry network.

KW - Green tourism

KW - Mobile application

KW - Smart tourism ecosystem

KW - Social networking activity intensity

KW - Strength of ties theory

UR - http://www.scopus.com/inward/record.url?scp=85050623413&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-92052-8_46

DO - 10.1007/978-3-319-92052-8_46

M3 - 会议稿件

AN - SCOPUS:85050623413

SN - 9783319920511

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 583

EP - 590

BT - Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings

A2 - Antona, Margherita

A2 - Stephanidis, Constantine

PB - Springer Verlag

Y2 - 15 July 2018 through 20 July 2018

ER -

Tsai TH , Chang HT, Lin YW, Yu MC, Lien PJ, Yan WC et al. Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem. In Antona M, Stephanidis C, editors, Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings. Springer Verlag. 2018. p. 583-590. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-92052-8_46

Emerging social media and social networks analysis transforms the tourism industry: Living green smart tourism ecosystem

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this