IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Future Research Directions in E-Tourism Studies: Blind Spots and Complaint Analyses Using Data Science Method

Future Research Directions in E-Tourism Studies: Blind Spots and Complaint Analyses Using Data Science Method
View Sample PDF
Author(s): Hajime Eto (The University of Tsukuba, Japan)
Copyright: 2015
Pages: 20
Source title: New Business Opportunities in the Growing E-Tourism Industry
Source Author(s)/Editor(s): Hajime Eto (University of Tsukuba, Japan)
DOI: 10.4018/978-1-4666-8577-2.ch017

Purchase


Abstract

As this book has the limited numbers of chapters and pages, many important issues remain unanalyzed. This chapter picks up and roughly discusses some of them for the future analyses in more analytical ways. The focuses are placed on how to apply the data scientific methods to the analyses of public voice, claims and behaviors of tourists, customers and the general publics by using the big data already acquired and stored somewhere.

Related Content

Suneel Kumar, Varinder Kumar, Marco Valeri, Nisha Devi, Kamlesh Attri. © 2024. 28 pages.
Tuğçe Şimşek. © 2024. 28 pages.
Maja Turnsek, Adele Ladkin. © 2024. 25 pages.
Alkistis Papaioannou, Panagiotis Dimitropoulos. © 2024. 17 pages.
Kannapat Kankaew, Parinya Nakpathom, Alhuda Chanitphattana, Hataipat Phungpumkaew, Kwanporn Boonnag, Gilbert C. Magulod Jr. © 2024. 16 pages.
Jessica Patrícia Ferreira, Bruno Barbosa Sousa, Nuno Costa. © 2024. 26 pages.
Anup Kaith, Geeta Sachdeva. © 2024. 22 pages.
Body Bottom