TRV-2026-0058Version 7 · Retracted
Reason for this version
Model backfill: source did not support a publishable AI-impact claim
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TRUVACE RECORD VERSION record: TRV-2026-0058 version: 7 kind: retracted reason: Model backfill: source did not support a publishable AI-impact claim timestamp: 2026-07-13T00:38:45.478404Z status: archived lens: g_space sector: science headline: Brave new world: service robots in the frontline dek: Purpose The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the pote… gain_title: Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. problem_title: (none) trace_subject: (none) gain_reading: Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. problem_reading: (none) quick_read: Purpose The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. Design/methodology/approach This paper uses a conceptual approach that is rooted in the service, robotics and AI literature. limitation: Historical evidence reading: the cited study may be limited by its design, population, period, or setting, and later research may report different effects. tag: Evidence-backed gain key_points: Purpose The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. | The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers. | Design/methodology/approach This paper uses a conceptual approach that is rooted in the service, robotics and AI literature. rundown: Purpose The service sector is at an inflection point with regard to productivity gains and service industrialization similar to the industrial revolution in manufacturing that started in the eighteenth century. Robotics in combination with rapidly improving technologies like artificial intelligence (AI), mobile, cloud, big data and biometrics will bring opportunities for a wide range of innovations that have the potential to dramatically change service industries. The purpose of this paper is to explore the potential role service robots will play in the future and to advance a research agenda for service researchers. Design/methodology/approach This paper uses a conceptual approach that is rooted in the service, robotics and AI literature. sources: - peer_reviewed | Administrative Sciences | https://doi.org/10.3390/admsci15090371 | 2025-09-19 - peer_reviewed | HighTech and Innovation Journal | https://doi.org/10.28991/hij-2025-06-01-013 | 2025-02-25 - peer_reviewed | Journal of Sensor Networks and Data Communications | https://doi.org/10.33140/jsndc.04.01.06 | 2024-03-18 - peer_reviewed | Journal of Service Management | https://doi.org/10.1108/josm-04-2018-0119 | 2018-09-26 - peer_reviewed | OpenAlex-indexed journal | https://doi.org/10.36227/techrxiv.175606796.66791257/v1 | 2025-08-24 prev: 6cb98b4b72478622e375f37fb42c26679f88133ee7945bdaa145f100d38a7b0c
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