Service robot–employee task allocation strategies: well-being within the intrusion challenge

Chelsea Phillips et al.

Journal of Service Management2025https://doi.org/10.1108/josm-11-2023-0466article
AJG 2ABDC A
Weight
0.58

Abstract

Purpose Previous research has not considered the impact on human frontline employees (FLEs) of altered employee–customer relationships in the presence of a service robot (i.e. an intrusion challenge), nor how FLEs may respond. The purpose of this study is to explore the task allocation strategies by human frontline employees’ (FLE) work well-being responses within the intrusion challenge. Design/methodology/approach This study employs a mixed-method approach, whereby an in-depth qualitative study (Study 1, n = 15) is followed by a quantitative field study (Study 2, n = 81). Findings Results indicate that FLEs experience the intrusion challenge, impacting social, purpose, physical and community well-being. Study 1 reveals that while service robots trigger this challenge, FLEs use them for task allocation to maintain their initial work well-being state. Study 2 shows that using robots instead of colleagues positively affects FLE work well-being. Practical implications Service robots, as a task allocation strategy by FLEs, can be used to empower FLEs by assisting them to preserve their work well-being within the intrusion challenge. Originality/value This study is one of the first to involve FLEs from a live service robot site, where data is based on personal lived experiences rather than anticipated experiences. This is the first study to investigate how FLEs respond to the intrusion challenge.

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https://doi.org/https://doi.org/10.1108/josm-11-2023-0466

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@article{chelsea2025,
  title        = {{Service robot–employee task allocation strategies: well-being within the intrusion challenge}},
  author       = {Chelsea Phillips et al.},
  journal      = {Journal of Service Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/josm-11-2023-0466},
}

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Service robot–employee task allocation strategies: well-being within the intrusion challenge

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Evidence weight

0.58

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.58 × 0.4 = 0.23
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.