Abstract

Robotaxi services are expanding rapidly, but interior cleanliness, valued by passengers, remains a critical weak link. This study examines embedding the Automated Robotaxi Interior Space Cleaning (ARISC) framework in existing operations via a product service system (PSS) architecture without reducing fleet availability. Methodologically, frame innovation is undertaken from companies’ internal processes and governance: first, the study benchmarks DiDi Autonomous Driving, Baidu’s Apollo Go, and SAIC Mobility Robotaxi, and maps existing Robotaxi service systems; second, eleven semi structured interviews with cleaning providers, company staff, and passengers yield 384 records indicating functional needs (air circulation, surface cleaning, waste removal) and value needs (trust, hygiene, convenience); finally, ARISC is proposed and its embedding pathway illustrated through a service blueprint. Viewed through a PSS lens, the framework organizes cross functional collaboration, provides operators a systemic transformation pathway, and guides management toward service strategies for long term competitiveness.

Keywords

product–service system design (PSSD), robotaxi service operations,automated interior space cleaning framework, inside–out strategic transformation

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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Jun 8th, 9:00 AM Jun 12th, 5:00 PM

A Product-Service System Design Approach for the Frame Innovation of Automated Robotaxi Interior Space Cleaning

Robotaxi services are expanding rapidly, but interior cleanliness, valued by passengers, remains a critical weak link. This study examines embedding the Automated Robotaxi Interior Space Cleaning (ARISC) framework in existing operations via a product service system (PSS) architecture without reducing fleet availability. Methodologically, frame innovation is undertaken from companies’ internal processes and governance: first, the study benchmarks DiDi Autonomous Driving, Baidu’s Apollo Go, and SAIC Mobility Robotaxi, and maps existing Robotaxi service systems; second, eleven semi structured interviews with cleaning providers, company staff, and passengers yield 384 records indicating functional needs (air circulation, surface cleaning, waste removal) and value needs (trust, hygiene, convenience); finally, ARISC is proposed and its embedding pathway illustrated through a service blueprint. Viewed through a PSS lens, the framework organizes cross functional collaboration, provides operators a systemic transformation pathway, and guides management toward service strategies for long term competitiveness.

 

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