IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1118-d728202.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Sujan Piya & Ahm Shamsuzzoha & Muhammad Azizuddin & Nasr Al-Hinai & Babek Erdebilli, 2022. "Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman," Sustainability, MDPI, vol. 14(3), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1118-:d:728202
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1118/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1118/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Babak Daneshvar Rouyendegh & Şeyda Savalan, 2022. "An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    2. Mohammad Kazem Ghorbani & Hossein Hamidifar & Charalampos Skoulikaris & Michael Nones, 2022. "Concept-Based Integration of Project Management and Strategic Management of Rubber Dam Projects Using the SWOT–AHP Method," Sustainability, MDPI, vol. 14(5), pages 1-20, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1118-:d:728202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.