Author
Listed:
- Akmal Adanan
- Ras Natasha Azalea
- Mohd Adib Izzat
- Mohamad Daim Darson
- Ahmad Khairuman Md Hasim
- Nadia Hanim Binti Mohd Wasilan
Abstract
This research examines the factors influencing consumer acceptance of robotic waiters in restaurants. As the food service industry increasingly adopts robotic systems, it is essential to comprehend consumer approval for their effective integration. In this study, the Technology Acceptance Model (TAM) is utilized to investigate the key factors influencing consumer acceptance of robot waiters. It examines consumers' evaluations of these robots' usefulness and ease of use, as well as their attitudes and intentions. The findings illustrate the correlation between perceived usefulness, perceived ease of use, and attitude. Regression analysis highlights the significant roles of perceived ease of use and perceived usefulness in shaping attitudes toward technology, with the former having a more pronounced positive impact. However, anticipating future research into the complexities of user perception, particularly the negative correlation between perceived usefulness and attitude, is an exciting prospect for further investigation. This research enhances the understanding of consumer acceptance of robot waiters in restaurants and provides valuable insights for restaurant operators, policymakers, and other stakeholders. By addressing concerns related to technological adoption and customer preferences, this study guides the effective implementation of robot waiters in the restaurant industry, to improve operational efficiency and service quality.
Suggested Citation
Akmal Adanan & Ras Natasha Azalea & Mohd Adib Izzat & Mohamad Daim Darson & Ahmad Khairuman Md Hasim & Nadia Hanim Binti Mohd Wasilan, 2024.
"Serving The Future: Factors Influencing Consumer Acceptance of Robotic Waiters in Restaurants,"
Information Management and Business Review, AMH International, vol. 16(3), pages 210-216.
Handle:
RePEc:rnd:arimbr:v:16:y:2024:i:3:p:210-216
DOI: 10.22610/imbr.v16i3(I).3983
Download full text from publisher
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:rnd:arimbr:v:16:y:2024:i:3:p:210-216. 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: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/imbr .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.