Advances in the Human Side of Service Engineering
Proceedings of the AHFE 2020 Virtual Conference on The Human Side of Service Engineering, July 16-20, 2020, USA
Jim Spohrer (Redaktør) ; Christine Leitner (Redaktør)
Serie: Advances in Intelligent Systems and Computing 1208
This book reports on cutting-edge research and best practices in developing innovative service systems. It covers issues concerning
the suitability of a given system for human use, human services, and excellent human experiences. Les mer
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Paperback
Legg i
Paperback
Legg i
Vår pris:
2363,-
(Paperback)
Fri frakt!
Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.
This book reports on cutting-edge research and best practices in developing innovative service systems. It covers issues concerning
the suitability of a given system for human use, human services, and excellent human experiences. It explores a wide range
of ways in which human factors in engineering, ergonomics, human-computer interaction (HCI), cognitive engineering, and many
other disciplines can contribute to the design and management of service systems. It considers aspects related to cost effectiveness,
ethics, and privacy, among others, and covers applications in many areas, from healthcare to education, transportation, and
the economy. Based on the AHFE 2020 Virtual Conference on the Human Side of Service Engineering, held on July 16-20, 2020,
the book provides readers with a comprehensive overview of current research and future challenges in the field of service
engineering, together with practical insights into the development of innovative services for various kinds of organizations.
Identifying trendsetters in online social networks - a machine learning approach.- Consume less, create more - Digital services
in the context of sustainability.- Influence of survey link locational placement on the user rating.- Toward a computable
scholarly record.- Research approaches to service innovation: Organizational perspectives.- Innovation-as-a-service: Emergent
lessons from an AI innovation management project.- Barriers to Service Innovation using Data Science.- Service design approaches
to drive employee engagement.