Smart Digital Service Ecosystems : A Research Roadmap from Service Computing and Engineering Perspectives / / by Youakim Badr

• Autore: Badr Youakim
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (138 pages)
• Disciplina: 621.382
• Soggetto topico: Service industries; Operations research; Quantitative research; Engineering mathematics; Engineering - Data processing; Technological innovations; Electronic data processing - Management; Services; Operations Research and Decision Theory; Data Analysis and Big Data; Mathematical and Computational Engineering Applications; Innovation and Technology Management; IT Operations
• Soggetto non controllato: Engineering; Technology & Engineering
• Nota di contenuto: Intro -- Preface -- Acknowledgments -- Contents -- 1 The Rise of IT-Enabled Services -- 1.1 The Service Economy -- 1.2 Productivity in Services -- 1.2.1 Multivarious Definitions -- 1.2.2 Multidisciplinarity of Services -- 1.2.3 Unconventional Characteristics of Services -- 1.3 Services in Service Science and the Service-Dominant Logic -- 1.4 IT-Enabled Services -- 1.5 Designing and Implementing IT-Enabled Services -- 1.5.1 The Systemic Thinking Perspective -- 1.5.2 The ICT Perspective -- 1.5.3 Service System Challenges -- 1.5.3.1 Compositions in Software Engineering: The SOA Perspective -- 1.5.3.2 Compositions in Service Engineering: The Business Perspective -- 1.5.4 Challenges Related to the Service Concept -- 1.5.5 Challenges Related to Service Processes -- 1.5.6 A Research Road Map for IT-Enabled Services -- 2 Service Reference Model and Requirements -- 2.1 Introduction -- 2.2 Services and Challenges -- 2.2.1 The Service Concept -- 2.2.2 Modeling Services -- 2.2.3 Service Frameworks -- 2.3 Design Requirements for Services -- 2.4 An Architectural Framework for IT-Enabled Services -- 2.4.1 Service System Reference Model -- 2.4.1.1 The System View -- 2.4.1.2 The Characteristics View -- 2.4.1.3 The Business View -- 2.4.1.4 The Interaction View -- 2.4.2 The Service Shared Requirement Model -- 2.4.2.1 Specifying Requirements with Service Characteristics -- 2.4.2.2 The Goal-Oriented Graphical Model -- 2.4.2.3 The Service Requirement Modeling Language -- 2.4.2.4 Customer Requirements with SBVR-Based Templates -- 2.4.2.5 Requirement Mapping Algorithms -- 2.5 Concluding Remarks -- 3 Collaborative Design Methods Driven by Business Artifacts -- 3.1 Introduction -- 3.2 Challenges Related to Service Processes -- 3.3 Service Collaborative Design and Processes with BusinessArtifacts -- 3.3.1 The Collaboration Model -- 3.3.1.1 Interaction Patterns. ; 3.3.1.2 The Service Process Model -- 3.3.1.3 The Collaboration Process Life Cycle -- 3.3.1.4 Collaboration Patterns -- 3.3.1.5 The Collaborative Service Design Method -- 3.3.2 The Business Artifact Discovery Method -- 3.3.2.1 The Data Perspective -- 3.3.2.2 The Operation Perspective -- 3.3.2.3 The Common Perspective -- 3.4 Concluding Remarks -- 4 Toward Digital Service Ecosystems -- 4.1 Introduction -- 4.2 Challenges Related to the Digital Ecosystems -- 4.3 The Digital Service Ecosystem -- 4.3.1 Social-Based Relationships Between ServiceComponents -- 4.3.2 The Evolution of Digital Service Ecosystems -- 4.3.3 The Service Bundling Based on Collaboration Processes -- 4.3.3.1 The SaaS-Based Architecture for Service Front-Office Interfaces -- 4.3.3.2 Managing Service Characteristics -- 4.4 The Ad Hoc Web Service Composition -- 4.4.1 The Rule-Driven Composition Model -- 4.4.2 The Service Farming Algorithm -- 4.5 From Service Systems to Digital Service Ecosystems -- 4.6 Web Service Selection -- 4.6.1 Web Service Selection Based on NonfunctionalProperties -- 4.6.1.1 Web Service Nonfunctional Properties -- 4.6.1.2 WS-Policy Specification to Model Nonfunctional Properties -- 4.6.1.3 Publishing NFP WS-Policies in UDDIRegistries -- 4.6.1.4 The Matching Algorithm -- 4.6.1.5 Including User Preferences in Web ServiceSelection -- 5 Services in the Era of Artificial Intelligence and Internet of Things -- 5.1 Toward AI- and IoT-Enabled Services -- 5.2 Internet of Things and Services Systems -- 5.2.1 Self-Adaptable Connected Devices -- 5.2.2 IoT Big Data Management and Built-in Analytics -- 5.3 Artificial Intelligence and Services Systems -- 5.3.1 Composable AI Service Systems and Security-by-Design -- 5.3.2 AI Risks in Service Systems -- 5.3.3 Privacy-Preserving and Resilient Federated Learning -- References.
• Sommario/riassunto: This book provides a holistic overview of the major advances that have been made in the context of Service Science with a focus on IT-enabled services. To address challenges in collaborative, social-centric, ad-hoc, dynamic and open environments, the book studies IT-enabled service systems from two distinct but complementary research perspectives: service engineering and service computing. From a service engineering view, the book shows how to apply a systemic approach to tackle social problems from holistic and multi-disciplinary perspectives by focusing on service systems and developing a service design framework, including socio-technical aspects, the service reference model, data-driven collaboration processes, the incremental design method, requirement propagation, and system adaptability with feedback loops. From a service computing view, the book introduces a service-oriented aided infrastructure to support IT-enabled service systems in ICT-facilitated environments and provide access to tangible and intangible resources in a trustworthy environment. The book offers a valuable companion and comprehensive reference guide for undergraduate and graduate students who want to learn about current concepts for designing and implementing service systems; and for researchers who want to identify future directions in build smart digital service ecosystems, integrating Internet of Things (IoT) and Artificial Intelligence (AI) and cyber-security. The book also appeals to developers who need to implement advanced services and want to capitalize on corresponding business models, customer-driven interaction, and scalable architectures.
• Titolo autorizzato: Smart Digital Service Ecosystems
• ISBN: 9783031279263; 9783031279256
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910725099903321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Service Science, . 2731-3751