Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman

Sujan Piya, Ahm Shamsuzzoha, Muhammad Azizuddin, Nasr Al-Hinai and Babek Erdebilli
Additional contact information
Sujan Piya: Department of Mechanical and Industrial Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 50, Muscat 123, Oman
Ahm Shamsuzzoha: Digital Economy Research Platform, School of Technology and Innovations, University of Vaasa, P.O. Box 700, FI-65101 Vaasa, Finland
Muhammad Azizuddin: School of Strategy and Leadership, Faculty of Business and Law, Coventry University, Coventry CV1 5FB, UK
Nasr Al-Hinai: Department of Mechanical and Industrial Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 50, Muscat 123, Oman
Babek Erdebilli: Industrial Engineering Department, Ankara Yıldırım Beyazıt University, Ankara 06010, Turkey

Sustainability, 2022, vol. 14, issue 3, 1-22

Abstract: Climate change is the most serious threat that the modern world has ever faced. This has led to increasing attention from the government, industries, researchers, and practitioners on the theme of green practice. Due to the heightened awareness of climate change, the hospitality industry is under pressure to implement green practices and reduce the environmental impact of their operation. The research aims at understanding the indicators that define green practice in the hospitality industry and then developing a model that can be used to measure the green score. The research identifies twenty-six indicators of green practice in the hotel industry. These indicators were clustered into six different criteria. Based on the identified indicators and criteria, an integrated fuzzy AHP-TOPSIS method is proposed to calculate the green score. The fuzzy AHP method is used to calculate the weight of the criteria and indicators, while the fuzzy TOPSIS method is used to calculate the green score and rank hotels. The fuzzy AHP result shows that the criterion “Recycling and Reuse” has the highest weight among the identified criteria, while “Green Training and Incentives” has the lowest weight. The application of the proposed method is demonstrated by using a case study of hotels situated in the Sultanate of Oman. The result shows that the 4-star and 5-star hotels in the Sultanate have green scores between 0.56 and 0.641 out of 1.0 at a 95% confidence interval. The results further show that having a high star ranking hotel does not necessarily mean that the hotel is better in terms of green practice. The developed model helps the hotel industry to understand the indicator and criteria, as identified in this research work, they need to improve in order to improve their overall green management practice.

Keywords: green practice; hospitality industry; fuzzy method; analytical hierarchy process; TOPSIS; green score; Oman (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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