LEADER 05978nam 22005895 450 001 9910337806703321 005 20200704091335.0 010 $a3-030-04726-1 024 7 $a10.1007/978-3-030-04726-9 035 $a(CKB)4100000007334853 035 $a(DE-He213)978-3-030-04726-9 035 $a(MiAaPQ)EBC5626939 035 $a(PPN)232965447 035 $a(EXLCZ)994100000007334853 100 $a20181228d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Service Science $eProceedings of the 2018 INFORMS International Conference on Service Science /$fedited by Hui Yang, Robin Qiu 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (IX, 293 p. 61 illus., 34 illus. in color.) 225 1 $aSpringer Proceedings in Business and Economics,$x2198-7246 311 $a3-030-04725-3 327 $aChapter 1. The Inmate Transportation Problem and its Application in the PA Department of Corrections -- Chapter 2. Robust modality selection in radiotherapy -- Chapter 3. Incentive-Based Rebalancing of Bike-Sharing Systems -- Chapter 4. A T-Shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study -- Chapter 5. Service Differentiation and Operating Segments: Research Opportunities and Implementation Challenges -- Chapter 6. Higher Education as a Service: The Science of Running a Lean Program in International Business -- Chapter 7. A Hypergraph-based Modeling Approach for Service Systems -- Chapter 8. Zone of Optimal Distinctiveness: Provider Asset Personalization and the Psychological Ownership of Shared Accommodation -- Chapter 9. Data Mining Methods for Describing Federal Government Career Trajectories and Predicting Employee Separation -- Chapter 10. Using the Service Science Canvas to Understand Institutional Change in a Public School System -- Chapter 11. Data-driven capacity management with machine learning: A novel approach and a case-study for a public service office -- Chapter 12. Harnessing Big Data and Analytics Solutions in Support of Smart City Services -- Chapter 13. The Pay Equity Dilemma Women Face Around the World -- Chapter 14. Project and Resource Optimization (PRO) for IT Service Delivery -- Chapter 15. A Unified Framework for Specifying Cost Models of IT Service Offerings -- Chapter 16. Toward a Context-aware Serendipitous Recommendation System -- Chapter 17. Analysis of service execution in the on-line sports gambling industry -- Chapter 18. Decision Modeling in Service Science -- Chapter 19. Predicting call center performance with machine learning -- Chapter 20. Information directed policy sampling for partially observable Markov decision processes with parametric uncertainty -- Chapter 21. Buffered Probability of Exceedance (bPOE) Ratings for Synthetic Instruments -- Chapter 22. Service Quality Assessment via Enhanced Data-Driven MCDM Model -- Chapter 23. Estimating the Effect of Social Influence on Subsequent Reviews -- Chapter 24. Product and Service Design for Remanufacturing, Uncertainty and the Environmental Impact in The Closed-loop Supply Chain Network -- Chapter 25. Towards the determinants of successful public-private partnership projects in Jamaica: A proposed methodology -- Chapter 26. Cognitive Solutioning of Highly-Valued IT Service Contracts -- Chapter 27. A Predictive Approach for Monitoring Services in the Internet of Things -- Chapter 28. Managing Clinical Appointments in an Academic Medical Center -- Chapter 29. Factors Influencing E-Procurement Adoption in the Transportation Industry. 330 $aThis volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. The papers in this volume highlight ways to approach such technical challenges in service science and are based on submissions from the 2018 INFORMS International Conference on Service Science. 410 0$aSpringer Proceedings in Business and Economics,$x2198-7246 606 $aOperations research 606 $aDecision making 606 $aBig data 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 615 0$aOperations research. 615 0$aDecision making. 615 0$aBig data. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 14$aOperations Research/Decision Theory. 615 24$aBig Data/Analytics. 615 24$aMathematical and Computational Engineering. 676 $a658.40301 702 $aYang$b Hui$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aQiu$b Robin$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337806703321 996 $aAdvances in Service Science$92159146 997 $aUNINA