Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels
Mehrbakhsh Nilashi,
Rabab Ali Abumalloh,
Ahmed Almulihi,
Mesfer Alrizq,
Abdullah Alghamdi,
Muhammed Yousoof Ismail,
Abul Bashar,
Waleed Abdu Zogaan,
Shahla Asadi
Affiliations
Mehrbakhsh Nilashi
Centre for Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800, George Town, Malaysia; Corresponding author.
Rabab Ali Abumalloh
Computer Department, Applied College, Imam Abdulrahman Bin Faisal University, P.O. Box. 1982, Dammam, Saudi Arabia
Ahmed Almulihi
Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Mesfer Alrizq
Information Systems Dept., College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia
Abdullah Alghamdi
Information Systems Dept., College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia
Muhammed Yousoof Ismail
Department of MIS, Dhofar University, Oman
Abul Bashar
College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Al-Khobar, Kingdom of Saudi Arabia
Waleed Abdu Zogaan
Department of Computer Science, Faculty of Computer Science and Information Technology, Jazan University, Jazan, 45142, Saudi Arabia
Shahla Asadi
Centre of Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
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.
