- Electronic ISBN 9780123973252
- Print ISBN 9780123970374
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.
Computer Engineers; Intelligent Systems specialists. Security professionals
Intelligent Systems Series
Chapter 1. Overview of Service Science, Management, and Engineering
1.1 What Is SSME?
1.2 Why Do We Need SSME?
1.3 How Do We Benefit from SSME?
Chapter 2. Servitization Strategy
2.3 Research Methodology
2.4 Servitization Strategy for PC Industry
2.5 Managerial and Practical Implications
Chapter 3. Supply Chain Finance
3.1 Inefficient Financial Supply Chain
3.2 Introduction to SCF Solutions
3.3 Mathematical Representations of Supply Chain Finance
3.4 Future Research
Chapter 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
4.3 COCKPIT for Emerging Markets (CEM)
4.4 CEM Prototype and Implementation
4.5 Assessing Corruption in Public Services in Emerging Markets
4.6 Transparency Assessment of Public Services in Emerging Markets
4.7 Concluding Remarks
Chapter 5. Recommendation Algorithms for Implicit Information
5.3 Neighborhood Models
5.4 Matrix Factorization Models
5.5 A Hybrid Model of Implicit and Feature Information
5.6 Experimental Study
Chapter 6. Online Strategies for Optimizing Medical Supply in Disaster Scenarios
6.2 Related Work
6.3 Experimental Setup
6.4 Algorithms for Optimization
6.5 Experiments and Results