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Nilashi, Mehrbakhsh, Abumalloh, Rabab Ali, Almulihi, Ahmed, Alrizq, Mesfer, Alghamdi, Abdullah, Ismail, Muhammed Yousoof, Bashar, Abul, Zogaan, Waleed Abdu and Asadi, Shahla 
ORCID: 0000-0002-8199-2122
(2023)
Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels.
ICT Express, 9 (2).
pp. 182-188.
doi:10.1016/j.icte.2021.11.006
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Text (© 2021 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences)
12743-Asadi-(2021)-Big-social-data-analysis.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (961kB) | Preview |
Abstract
Revealing customer satisfaction through big social data has been an interesting research topic in tourism and hospitality. Big data analysis is an effective way to detect customers’ behaviors in their decision-making. This study aims to perform big social data analysis to reveal whether food quality impacts the relationship between hotel performance criteria and travelers’ satisfaction. A two-stage methodology is developed to address the objectives of this study. The findings demonstrated that there is a positive relationship between eco-friendly hotels’ performance criteria and satisfaction. The results and implications for managers and future research directions are discussed.
| Item Type: | Article |
|---|---|
| Article Type: | Article |
| Uncontrolled Keywords: | Online customers’ reviews; Customers’ satisfaction; Machine learning; Food quality; Hotel performance criteria; Big social data |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Schools and Research Institutes > School of Business, Computing and Social Sciences |
| Research Priority Areas: | Applied Business & Technology |
| Depositing User: | Anne Pengelly |
| Date Deposited: | 15 May 2023 11:34 |
| Last Modified: | 03 Nov 2023 11:09 |
| URI: | https://eprints.glos.ac.uk/id/eprint/12743 |
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