Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels
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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-04-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959521001533 |
| _version_ | 1827958896101163008 |
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| author | Mehrbakhsh Nilashi Rabab Ali Abumalloh Ahmed Almulihi Mesfer Alrizq Abdullah Alghamdi Muhammed Yousoof Ismail Abul Bashar Waleed Abdu Zogaan Shahla Asadi |
| author_facet | Mehrbakhsh Nilashi Rabab Ali Abumalloh Ahmed Almulihi Mesfer Alrizq Abdullah Alghamdi Muhammed Yousoof Ismail Abul Bashar Waleed Abdu Zogaan Shahla Asadi |
| author_sort | Mehrbakhsh Nilashi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T15:43:14Z |
| format | Article |
| id | doaj.art-8bb140713e4741a7aa168ff04cc74045 |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-04-09T15:43:14Z |
| publishDate | 2023-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-8bb140713e4741a7aa168ff04cc740452023-04-27T06:07:19ZengElsevierICT Express2405-95952023-04-0192182188Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotelsMehrbakhsh Nilashi0Rabab Ali Abumalloh1Ahmed Almulihi2Mesfer Alrizq3Abdullah Alghamdi4Muhammed Yousoof Ismail5Abul Bashar6Waleed Abdu Zogaan7Shahla Asadi8Centre for Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800, George Town, Malaysia; Corresponding author.Computer Department, Applied College, Imam Abdulrahman Bin Faisal University, P.O. Box. 1982, Dammam, Saudi ArabiaDepartment of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaInformation Systems Dept., College of Computer Science and Information Systems, Najran University, Najran, Saudi ArabiaInformation Systems Dept., College of Computer Science and Information Systems, Najran University, Najran, Saudi ArabiaDepartment of MIS, Dhofar University, OmanCollege of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Al-Khobar, Kingdom of Saudi ArabiaDepartment of Computer Science, Faculty of Computer Science and Information Technology, Jazan University, Jazan, 45142, Saudi ArabiaCentre of Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, MalaysiaRevealing 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.http://www.sciencedirect.com/science/article/pii/S2405959521001533Online customers’ reviewsCustomers’ satisfactionMachine learningFood qualityHotel performance criteriaBig social data |
| spellingShingle | Mehrbakhsh Nilashi Rabab Ali Abumalloh Ahmed Almulihi Mesfer Alrizq Abdullah Alghamdi Muhammed Yousoof Ismail Abul Bashar Waleed Abdu Zogaan Shahla Asadi Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels ICT Express Online customers’ reviews Customers’ satisfaction Machine learning Food quality Hotel performance criteria Big social data |
| title | Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels |
| title_full | Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels |
| title_fullStr | Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels |
| title_full_unstemmed | Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels |
| title_short | Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels |
| title_sort | big social data analysis for impact of food quality on travelers satisfaction in eco friendly hotels |
| topic | Online customers’ reviews Customers’ satisfaction Machine learning Food quality Hotel performance criteria Big social data |
| url | http://www.sciencedirect.com/science/article/pii/S2405959521001533 |
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