Enterprise AI Analysis
Evaluating Customer Experience with Service Robots in the Hospitality Industry: Some Evidence from Spain
This study explores the impact of service robot quality on customer experience in the Spanish hospitality industry, mediated by brand reputation and customer attitudes. Utilizing the USUS Model and SEM-PLS on scenario-based survey data, findings reveal strong direct and indirect effects of SR quality on customer experience, primarily via brand reputation. It highlights the strategic importance of high-quality SR for fostering innovation and positive attitudes, underscoring that while brand reputation and customer attitudes prepare guests, actual SR performance is paramount for experiential success.
Executive Impact
Key insights for strategic decision-makers, distilling complex findings into actionable intelligence for your enterprise.
+0.662
SR Quality to Brand Rep.
+0.405
SR Quality to Cust. Attitude
+0.431
SR Quality to Cust. Exp.
+0.438
Brand Rep. to Cust. Attitude
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Service Robot Quality
Brand Reputation
Customer Attitudes
Customer Experience
Service Robot Quality
The study emphasizes that SR quality significantly influences both brand reputation and customer experience. High-quality robots signal innovation and competence, directly shaping customer perceptions and outcomes. This includes automation, personalization, efficiency, and accuracy. The results indicate that while customers initially value reliable, precise, timely, and tailored services, the lowest score was related to security concerns, highlighting a critical area for improvement.
0.662
Strongest direct effect: SR Quality → Brand Reputation (p<0.001)
2.553
Lowest mean score for SR quality item: Security
| Factor | Description | Impact |
|---|---|---|
| Automation | Automated check-in/out, facial recognition | Enhances efficiency, perceived innovation |
| Personalisation | Tailored recommendations based on preferences | Boosts customer satisfaction, unique experience |
| Efficiency | Prompt delivery services | Crucial for service encounters |
| Accuracy | Correct responses in multiple languages | Builds trust and reliability |
Conclusion: These factors collectively define robust SR quality, directly influencing customer experience. |
||
Brand Reputation
Organizational brand reputation acts as a crucial mediator. A strong brand reputation legitimizes SR use, reduces customer anxiety, and enhances acceptance. It significantly influences customer attitudes and indirectly shapes customer experience. Hotels can strategically enhance their reputation through visible investments in high-quality SR, signaling innovation and competence.
0.438
Brand Reputation → Customer Attitude (p<0.001)
0.290
Indirect effect: SR Quality → Brand Reputation → Customer Attitude
Reputational Pathway of SR Impact
High-Quality SR Deployment
→
Enhanced Organizational Brand Reputation
→
Positive Customer Attitudes Towards SR
→
Improved Customer Acceptance & Experience
Customer Attitudes
Customer attitudes towards SR are shaped by both technological quality and organizational reputation. Positive attitudes are critical for initial adoption and psychological readiness. However, attitudes do not directly improve experience if actual SR performance is poor, suggesting a mediating rather than a direct causal role for attitudes on the ultimate customer experience.
0.405
SR Quality → Customer Attitude (p<0.001)
0.085
Customer Attitude → Customer Experience (Rejected, p=0.604)
Mitigating Scepticism with Interactive Exposure
The study suggests that customers who recognize the importance of technology are more likely to have positive attitudes towards SR. However, many remain sceptical. To mitigate this, hotels can provide guests with opportunities to interact and become familiar with SR, combined with campaigns promoting a sense of security. This fosters trust and shifts attitudes positively, as observed in studies where clients prefer interacting with SR due to confidence issues with human services.
Customer Experience
Customer experience with SR is fundamentally performance-based, directly shaped by the tangible quality of the robot's automation capabilities, personalization, efficiency, and accuracy. Positive expectations created by brand reputation or attitudes do not substitute for actual SR performance. Therefore, flawless real-world performance is the dominant determinant of experiential outcomes.
0.431
SR Quality → Customer Experience (p<0.05)
0.166
Brand Reputation → Customer Experience (Rejected, p=0.279)
| Factor | Direct Impact on Experience | Indirect Impact on Experience |
|---|---|---|
| SR Quality | High (e.g., automation, accuracy) | Yes, via Brand Reputation & Customer Attitude |
| Brand Reputation | Low (Rejected H5) | High, via shaping attitudes and framing perceptions |
| Customer Attitude | Low (Rejected H6) | High, via mediating quality and reputation effects |
Conclusion: Actual SR performance is paramount for positive customer experience, with other factors setting expectations and context. |
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