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Advances in Service Science

Proceedings of the 2018 INFORMS International Conference on Service Science

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Hui Yang

    1. Department of Industrial Engineering, Pennsylvania State University, University Park, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Robin Qiu

    1. Division of Engineering and Information Science, Pennsylvania State University, Malvern, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent advances and rigorously developed papers in service science research, education and implementation
  • Highlights emerging technology and applications in the state-of-the-art of service research
  • Includes service case studies written by scholars and practitioners worldwide

Part of the book series: Springer Proceedings in Business and Economics (SPBE)

Included in the following conference series:

Conference proceedings info: INFORMS-CSS 2018.

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Table of contents (29 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. The Inmate Transportation Problem and Its Application in the PA Department of Corrections

    • Anshul Sharma, Mohammad Shahabsafa, Tamás Terlaky
    Pages 1-10

  3. Robust Modality Selection in Radiotherapy

    • Sevnaz Nourollahi, Archis Ghate, Minsun Kim
    Pages 11-20

  4. Incentive-Based Rebalancing of Bike-Sharing Systems

    • Samarth J. Patel, Robin Qiu, Ashkan Negahban
    Pages 21-30

  5. A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study

    • David Turner, Diego Serrano, Eleni Stroulia, Kelly Lyons
    Pages 31-41

  6. A Framework for Delivering Service Differentiation Through Operating Segments: Research Opportunities and Implementation Challenges

    • Morris A. Cohen, Jose A. Guajardo
    Pages 43-52

  7. Higher Education as a Service: The Science of Running a Lean Program in International Business

    • Joan Lofgren, Oleg V. Pavlov, Frank Hoy
    Pages 53-60

  8. A Hypergraph-Based Modeling Approach for Service Systems

    • Mahei Manhai Li, Christoph Peters, Jan Marco Leimeister
    Pages 61-72

  9. Zone of Optimal Distinctiveness: Provider Asset Personalization and the Psychological Ownership of Shared Accommodation

    • Anita D. Bhappu, Sabrina Helm
    Pages 73-81

  10. Data Mining Methods for Describing Federal Government Career Trajectories and Predicting Employee Separation

    • Kimberly Healy, Dan Lucas, Cherilyn Miller
    Pages 83-94

  11. Using the Service Science Canvas to Understand Institutional Change in a Public School System

    • Shari Weaver, Oleg Pavlov
    Pages 95-104

  12. Data-Driven Capacity Management with Machine Learning: A Novel Approach and a Case-Study for a Public Service Office

    • Fabian Taigel, Jan Meller, Alexander Rothkopf
    Pages 105-115

  13. Harnessing Big Data and Analytics Solutions in Support of Smart City Services

    • Shailesh Kumar Pandey, Mohammad Tariq Khan, Robin G. Qiu
    Pages 117-128

  14. The Pay Equity Dilemma Women Face Around the World

    • H. Muge Yayla-Kullu, Lana McMurray
    Pages 129-137

  15. Project and Resource Optimization (PRO) for IT Service Delivery

    • Haitao Li, Cirpriano A. Santos
    Pages 139-150

  16. A Unified Framework for Specifying Cost Models of IT Service Offerings

    • Kugmoorthy Gajananan, Aly Megahed, Shubhi Asthana, Taiga Nakamura
    Pages 151-160

  17. Toward a Context-Aware Serendipitous Recommendation System

    • Changhun Lee, Gyumin Lee, Chiehyeon Lim
    Pages 161-168

  18. Analysis of Service Execution in the On-line Sports Gambling Industry

    • James Roche, Pezhman Ghadimi, Vincent Hargaden
    Pages 169-180

  19. Decision Modeling in Service Science

    • Ralph D. Badinelli
    Pages 181-191

  20. Predicting Call Center Performance with Machine Learning

    • Siqiao Li, Qingchen Wang, Ger Koole
    Pages 193-199
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Other volumes

  1. Advances in Service Science

Keywords

About this book

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.

Editors and Affiliations

  • Department of Industrial Engineering, Pennsylvania State University, University Park, USA

    Hui Yang

  • Division of Engineering and Information Science, Pennsylvania State University, Malvern, USA

    Robin Qiu

About the editors

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.

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