EconPapers    
Economics at your fingertips  
 

Embracing RAISA in restaurants: Exploring customer attitudes toward robot adoption

Joanna Santiago, Maria Teresa Borges-Tiago and Flávio Tiago

Technological Forecasting and Social Change, 2024, vol. 199, issue C

Abstract: Humanity has experienced four main technological revolutions; the last two being the digital revolution (Internet) and the emerging artificial intelligence (AI) revolution. With robots, artificial intelligence, and service automation (RAISA) increasingly applied in all industries, knowledge on people's attitudes toward RAISA is limited. Factors affecting RAISA adoption in restaurants, an industry known for its quick adoption of new technology, are largely unknown. This study explores customer attitudes toward robot adoption in restaurants through a quantitative survey of 293 valid respondents. The results, analyzed using partial least squares structural equation modeling (PLS-SEM), show that positive attitudes toward technology, interest in RAISA, perceived relevance, and enjoyment positively impact RAISA adoption. Furthermore, customers' overall attitude toward technology positively affects their intention to use RAISA. Therefore, restaurant owners can start implementing new technologies since consumers are ready to embrace RAISA in restaurants.

Keywords: Robotics, artificial intelligence and service automatization (RAISA); Technology acceptance model; Restaurant; Innovation; Consumer attitudes (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523007321
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:199:y:2024:i:c:s0040162523007321

DOI: 10.1016/j.techfore.2023.123047

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:199:y:2024:i:c:s0040162523007321