Service science, management, and engineering : theory and applications /

The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Service Science, Management, and Engineering presents the l...

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Bibliographic Details
Main Author: Xiong, Gang, 1969-
Format: Electronic eBook
Language:English
Published: Amsterdam : Elsevier/Academic Press : Zhejiang University Press, 2012.
Series:Intelligent systems series.
Subjects:
Online Access:CONNECT

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100 1 |a Xiong, Gang,  |d 1969-  |1 https://id.oclc.org/worldcat/entity/E39PCjMyHwJMjyJrkCCG7WMvRC 
245 1 0 |a Service science, management, and engineering :  |b theory and applications /  |c Gang Xiong [and others]. 
260 |a Amsterdam :  |b Elsevier/Academic Press :  |b Zhejiang University Press,  |c 2012. 
300 |a 1 online resource (xv, 382 pages) :  |b illustrations. 
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490 1 |a Intelligent systems series 
504 |a Includes bibliographical references and index. 
520 |a The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Service Science, Management, and Engineering presents the latest issues and development in service science. Both theory and applications issues are covered in this book, which integrates a variety of disciplines, including engineering, management, and information systems. These topics are each related to service science from various perspectives, and the book is supported throughout by applications and case studies that showcase best practice and provide insight and guidelines to assist in building successful service systems. Presents the latest research on service science, management and engineering, from both theory and applications perspectives Includes coverage of applications in high-growth sectors, along with real-world frameworks and design techniques Applications and case studies showcase best practices and provide insights and guidelines to those building and managing service systems. 
505 0 |a Front Cover; Intelligent Systems Series; Service Science, Management, and Engineering: Theory and Applications; Copyright Page; Contents; Preface; 1 Overview of Service Science, Management, and Engineering; 1.1 What Is SSME?; 1.1.1 Information and Communication Technology; 1.1.2 ACP Theory; 1.2 Why Do We Need SSME?; 1.3 How Do We Benefit from SSME?; 1.3.1 Transportation System; 1.3.2 Logistics System; 1.3.3 Health Care System; 1.3.4 E-Commerce System; 1.3.5 Financial System; 1.4 Summary; References; 2 Servitization Strategy: Priorities, Capabilities, and Organizational Features 
505 8 |a 2.1 Introduction2.2 Background; 2.2.1 Context of the PC Industry; 2.2.2 Definitions of Servitization; 2.2.3 Benefits and Challenges of Servitization; 2.2.3.1 Benefits of Servitization; 2.2.3.2 Challenges of Servitization; 2.2.3.3 Conceptual Research Framework; 2.3 Research Methodology; 2.3.1 Case Study; 2.3.2 Case Company A; 2.3.3 Case Company B; 2.4 Servitization Strategy for PC Industry; 2.4.1 Strategic Priorities; 2.4.1.1 Product-Centric Servitization Strategy; 2.4.1.2 Service-Centric Servitization Strategy; 2.4.2 Capability Requirements 
505 8 |a 2.4.2.1 Capabilities for Product-Centric Servitization Strategy2.4.2.1.1 Product Innovation; 2.4.2.1.2 Logistics Integration; 2.4.2.1.3 Marketing; 2.4.2.2 Capabilities for Service-Centric Servitization Strategy; 2.4.2.2.1 Service Innovation; 2.4.2.2.2 Service Delivery and Experienced Experts; 2.4.2.2.3 Service Culture; 2.4.3 Organizational Features; 2.4.3.1 Global Manufacturing Network (GMN); 2.4.3.2 Global Service Network (GSN); 2.4.3.3 Evolution from Factory to GMN or GSN; 2.5 Managerial and Practical Implications; 2.5.1 Strategy Priority Depends on Core Competence 
505 8 |a 2.5.2 Leadership and Top Management Support2.5.3 Industry and Government Development Policy; 2.6 Conclusions; Acknowledgments; References; 3 Supply Chain Finance: Concept and Modeling; 3.1 Inefficient Financial Supply Chain; 3.2 Introduction to SCF Solutions; 3.2.1 Preshipment Finance; 3.2.2 Transit Finance; 3.2.3 Postshipment Finance; 3.3 Mathematical Representations of Supply Chain Finance; 3.3.1 A Survey; 3.3.2 Approximate Dynamic Programming; 3.3.2.1 Key Modeling Components and Notational Style; 3.3.2.2 Curses of Dimensionality; 3.3.2.3 ADP Solution Algorithm Design 
505 8 |a 3.3.2.4 Cross-Industry Applications3.3.3 A Three-Stage Supply Chain Finance Modeling Framework; 3.3.3.1 State Variable; 3.3.3.2 Decision Variable; 3.3.3.3 Exogenous Information Process; 3.3.3.4 Transition Function; 3.3.3.5 Reward Function; 3.3.3.6 Objective Function; 3.3.3.7 Curses of Dimensionality; 3.4 Future Research; References; 4 Designing and Assessing Participatory Public Services for Emerging Markets; 4.1 COCKPIT: A Participatory Service Design Methodology in a European Context; 4.2 Challenges of Service Provision in Emerging Markets 
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