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Advances in Service Science

Proceedings of the 2018 INFORMS International Conference on Service Science
ISBN:
978-3-03-004725-2
Auflage:
1st ed. 2019
Verlag:
Springer International Publishing
Land des Verlags:
Schweiz
Erscheinungsdatum:
29.12.2018
Herausgeber:
Reihe:
Springer Proceedings in Business and Economics
Format:
Hardcover
Seitenanzahl:
293
Ladenpreis
164,99EUR (inkl. MwSt. zzgl. Versand)
Lieferung in 5-10 Werktagen Versandkostenfrei ab 40 Euro in Österreich
Hinweis: Da dieses Werk nicht aus Österreich stammt, ist es wahrscheinlich, dass es nicht die österreichische Rechtslage enthält. Bitte berücksichtigen Sie dies bei ihrem Kauf.
This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume highlight ways to approach such technical challenges in service science and are based on submissions from the 2018 INFORMS International Conference on Service Science.
Schlagwörter
Biografische Anmerkung
Hui Yang is the Harold and Inge Marcus Career Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University, University Park, PA. Prior to joining Penn State in 2015, he was an Assistant Professor in the Department of Industrial and Management Systems Engineering at the University of South Florida from 2009 to 2015. Dr. Yang's research interests focus on sensor-based modeling and analysis of complex systems for process monitoring, process control, system diagnostics, condition prognostics, quality improvement, and performance optimization.

Robin Qiu, tenured full Professor of Information Science, teaches a variety of courses including Predictive Analytics, Management Science, Business Process Management, Decision Support Systems, Project Management, Enterprise Integration, Enterprise Service Computing, Software Engineering, Web-based Systems, Distributed Systems, Computer Architecture/SOA, Computer Security, Web Security, Operations Research, and System Engineering. He holds a Ph.D. in Industrial Engineering and a Ph.D. (minor) in Computer Science both from The Pennsylvania State University. Dr. Qiu’s research interests include Big Data, Data/Business Analytics, Smart Service Systems, Service Science, Service Operations and Management, Information Systems, and Manufacturing and Supply Chain Management.