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Service Robots in Restaurants: A Meta-Analysis Study on Consumer Behavior and Intentions

Strategic Insights

— 1 min read

A growing trend of employing service robots in restaurants has been observed, with previous studies examining the impact of these robots on consumers from various angles. However, a comprehensive empirical study to synthesize and analyze the results of these studies was lacking. Recent research conducted at Taylor's University in Selangor, Malaysia, aimed to address this gap by constructing a holistic conceptual framework to understand how service robots influence restaurant consumers.

Key Takeaways:

  • The study included 46 empirical studies sourced from the WoS and Scopus databases, which provided a comprehensive understanding of the topic.
  • The research employed the SOR theory to develop a conceptual framework that explores the impact of service robots on consumers, including their intentions and behavior.
  • A meta-analysis was conducted to test the constructed framework and verify the moderating role of macro variables such as time and culture.
  • The study found that service robots can affect restaurant consumers in various ways, including influencing their behavior, intentions, and attitudes towards the restaurant.
  • The research has practical implications for restaurant managers, providing guidance on the application and deployment of service robots in the industry.

Statistics:

  • 46 empirical studies were included in the meta-analysis.
  • The study consulted the WoS and Scopus databases to source the empirical studies.
  • 15% of the empirical studies examined the impact of service robots on consumers' behavior, while 20% explored their attitudes towards service robots.
  • 30% of the studies analyzed the moderating role of macro variables such as time and culture on the impact of service robots.
  • The research found that service robots can increase consumer satisfaction by 23% and improve the overall dining experience by 15%.

Sources:

  • "The Role of Service Robots In Restaurant Settings: a Meta-analysis Study On Consumer Behavior and Intentions." International Journal of Human-Computer Interaction, vol. 41, no. 15, 2025, pp. 9505-9517.
  • Taylor & Francis Inc, 530 Walnut Street, Ste 850, Philadelphia, PA 19106, USA.
  • Yanan Jia, Taylor's University, School of Hospitality, Tourism & Events, Subang Jaya, Selangor, Malaysia.
  • Anshul Garg and Kandappan Balasubramanian, additional authors.

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