IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i9p4213-d1650469.html
   My bibliography  Save this article

Optimizing Tour Guide Selection: A Best–Worst Scaled Assessment of Critical Performance Criteria for Enhanced Tour Quality

Author

Listed:
  • Omer Bafail

    (Department of Industrial Engineering, College of Engineering, King Abdulaziz University, Jeddah 80204, Saudi Arabia)

  • Abdulkader Hanbazazah

    (Department of Industrial and Systems Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia)

Abstract

This study addresses the critical need for an evaluation framework for tour guides within the rapidly expanding tourism sector of Saudi Arabia. Employing the best–worst method, a robust multi-criteria decision-making technique, this study identifies and prioritizes key criteria for tour guide performance. Experts ranked local cultural and historical background as the most significant attribute, demonstrating its importance in delivering authentic and enriching visitor experiences. Results revealed the relative weights of other criteria, highlighting the significance of several factors such as language proficiency, time management, and environmental and ethical awareness. Notably, technology adaption criterion received the lowest weighting, indicating a potential area for future focus within the Saudi tourism sector. The study’s findings provide a foundational framework for developing a comprehensive tour guide evaluation system. This study contributes to the growing body of literature on tour guide evaluation and offers practical implications for training and development initiatives within the Saudi Arabian tourism industry.

Suggested Citation

  • Omer Bafail & Abdulkader Hanbazazah, 2025. "Optimizing Tour Guide Selection: A Best–Worst Scaled Assessment of Critical Performance Criteria for Enhanced Tour Quality," Sustainability, MDPI, vol. 17(9), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4213-:d:1650469
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/9/4213/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/9/4213/
    Download Restriction: no
    ---><---

    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:17:y:2025:i:9:p:4213-:d:1650469. 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.