Rezaei, Sajad ORCID: https://orcid.org/0000-0001-7942-0611 (2019) Quantitative Tourism Research in Asia. Perspectives on Asian Tourism . Springer, Singapore, Singapore. ISBN 9789811324628 (print) 9789811324635 (eISBN)
Full text not available from this repository. (Request a copy)Abstract
The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the tourism literature by discussing the past, current and future quantitative data analysis methods.
The book offers new insights into well-established research techniques such as regression analysis, but goes beyond first generation data analysis techniques to introduce methods seldom – if ever – used in tourism and hospitality research. In addition to investigating existing and novel research techniques, the book suggests areas for future studies. In order to achieve its objectives the analysis is split into three main sections: understanding the tourism industry in Asia; the current status of quantitative data analysis; and future directions for Asian tourism research.
Item Type: | Book |
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Additional Information: | The full-text cannot be supplied for this item. Please check availability with your local library or Interlibrary Requests Service. |
Uncontrolled Discrete Keywords: | quantitative tourism research, research methodology, Asian tourism, research design, research ethics, quantitative data analysis, research implementation, data examination, regression analysis, structural equation modeling, SEM, discriminant analysis, partial least squares discriminant analysis, PLS-DA, data envelopment analysis, DEA, fuzzy set, qualitative comparative analysis, fs/QCA, IRWRG |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | College of Business, Psychology and Sport > Worcester Business School |
Related URLs: | |
Depositing User: | Sajad Rezaei |
Date Deposited: | 13 May 2020 14:47 |
Last Modified: | 15 Feb 2023 14:37 |
URI: | https://eprints.worc.ac.uk/id/eprint/9436 |
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