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Advances in the Human Side of Service Engineering

Proceedings of the AHFE 2020 Virtual Conference on The Human Side of Service Engineering, July...

Jim Spohrer Christine Leitner

$370.95   $296.98

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English
Springer Nature Switzerland AG
10 July 2020
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 developmentof innovative services for various kinds of organizations. 
Edited by:   ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Edition:   1st ed. 2020
Volume:   1208
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   528g
ISBN:   9783030510565
ISBN 10:   3030510565
Series:   Advances in Intelligent Systems and Computing
Pages:   328
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
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.

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