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.

Key Features

    • 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



    Computer Engineers; Intelligent Systems specialists. Security professionals

    Table of Contents

    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?

    1.4 Summary


    Chapter 2. Servitization Strategy

    2.1 Introduction

    2.2 Background

    2.3 Research Methodology

    2.4 Servitization Strategy for PC Industry

    2.5 Managerial and Practical Implications

    2.6 Conclusions



    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

    5.1 Introduction

    5.2 Preliminaries

    5.3 Neighborhood Models

    5.4 Matrix Factorization Models

    5.5 A Hybrid Model of Implicit and Feature Information

    5.6 Experimental Study

    5.7 Conclusions



    Chapter 6. Online Strategies for Optimizing Medical Supply in Disaster Scenarios

    6.1 Introduction

    6.2 Related Work

    6.3 Experimental Setup

    6.4 Algorithms for Optimization

    6.5 Experiments and Results

    6.6 Conclusions




    No. of pages:
    © 2013
    Academic Press
    Print ISBN:
    Electronic ISBN:

    About the authors

    Gang Xiong

    Affiliations and Expertise

    Chinese Academy of Sciences

    Zhong Liu

    Affiliations and Expertise

    National University of Defense Technology

    Xiwei Liu

    Affiliations and Expertise

    Chinese Academy of Sciences

    Fenghua Zhu

    Affiliations and Expertise

    Chinese Academy of Sciences

    Dong Shen

    Affiliations and Expertise

    Chinese Academy of Sciences