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Academic ResearchSeptember 30, 2026The Service Industries Journal

Collaborating with service robots: enhancing work engagement and job outcomes

A two-wave survey of 200 frontline service employees linked perceived service robot support to stronger work engagement and, indirectly, better job performance and customer helping behavior. The relationship was stronger for employees motivated by growth and achievement and weaker for those focused on avoiding mistakes. Hospitality managers should tailor robot onboarding, communication, and task design rather than assume one approach will engage every employee.

Authors

Won-Moo Hur,Kyungwon Lee & June-ho Chung

Article content

What the paper studied

This study examined how frontline employees’ perceptions of support from service robots relate to their work engagement, job performance, and willingness to help customers beyond their formal responsibilities. It also explored whether employees’ motivational orientation changes those relationships.

The researchers used a two-wave survey of 200 frontline employees across diverse service sectors. Their framework combined conservation of resources theory, which considers how support can help employees manage work demands, with regulatory focus theory, which distinguishes growth-oriented motivation from a focus on security and avoiding mistakes.

The abstract does not identify a hotel-only sample. Its hospitality relevance therefore lies in the implications for frontline service work, rather than demonstrated results from a specific hotel department or property type.

Key findings

  • Perceived service robot support was positively associated with work engagement. The emphasis is on employees experiencing robots as supportive, not simply on an organization introducing robotic technology.
  • Robot support was indirectly associated with both job performance and customer helping behavior through greater work engagement. Engagement was the link between perceived support and these outcomes.
  • The relationship was stronger among promotion-focused employees, who prioritize advancement, achievement, and opportunities for gains.
  • The relationship was weaker among prevention-focused employees, who prioritize responsibilities, security, and avoiding mistakes. A weaker relationship should not be interpreted as evidence that robots harm these employees’ performance.

These are survey-based associations. The supplied abstract does not establish that deploying robots causes better performance, nor does it quantify financial returns, guest satisfaction improvements, or labor savings.

Why it matters for hospitality

For hotels and other hospitality businesses considering service robots, the findings shift attention from equipment deployment to employee experience. A robot may be introduced as an operational tool, but its connection to service outcomes appears to depend partly on whether staff see it as a useful source of support.

That makes onboarding, communication, and task design important management decisions. Employees seeking opportunities to innovate may respond to experimentation and proactive collaboration. Employees concerned with reliability may need clearer procedures, predictable responsibilities, and demonstrations of how robotic assistance fits established standards.

The customer-service implication is also relevant: engagement was linked not only to core job performance but to helping customers beyond formal duties. However, the study does not demonstrate specific improvements in the hotel guest journey or justify assuming that extra effort should mean unpaid work or longer shifts.

Practical takeaways

  • Present robots as support for frontline staff. Explain the intended role and ask employees whether the assistance is genuinely useful in their daily work.
  • Tailor communication: emphasize opportunities and innovation for growth-oriented employees, and consistency, quality assurance, and clear responsibilities for employees focused on reliability.
  • Offer different training routes, such as opportunities to trial features alongside structured demonstrations, documented protocols, and simulations.
  • Use conversations or appropriate assessments to understand motivational preferences without treating employees as fixed categories or restricting development opportunities.
  • Evaluate implementation through employee engagement, job performance, and customer helping behavior. Treat potential financial or guest-experience benefits as outcomes to measure, not findings already established by this study.

Tags

Service RobotsEmployee EngagementFrontline EmployeesHospitality OperationsCustomer ServiceTechnology AdoptionEmployee Training

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