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Handbook of Service Science, Volume II

Overview of attention for book
Cover of 'Handbook of Service Science, Volume II'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Why Another Handbook?
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    Chapter 2 Service Timing: Designing and Executing Service in a Dynamic Environment
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    Chapter 3 Designing Service Systems to Enhance Perceived Decision Control
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    Chapter 4 The Sequence of Service: An Affect Perspective to Service Scheduling
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    Chapter 5 Customer Acceptance of AI in Service Encounters: Understanding Antecedents and Consequences
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    Chapter 6 Optimal Structure of Experiential Services: Review and Extensions
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    Chapter 7 A Human-Centred, Multidisciplinary, and Transformative Approach to Service Science: A Service Design Perspective
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    Chapter 8 Emerging Design Research Themes: A Research Review from Design, Service, and Management Studies
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    Chapter 9 High-Tech vs. High Touch Service Design in Healthcare: A Case for Considering the Emotional Biorhythm of the Patient in Technology Interventions
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    Chapter 10 Customer Experience Analytics: Dynamic Customer-Centric Model
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    Chapter 11 The Future of Service Systems: From Synergetics to Multi-Sided Platforms
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    Chapter 12 Using Employees’ Collective Intelligence for Service Innovation: Theory and Instruments
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    Chapter 13 A Multilayer Framework for Service System Analysis
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    Chapter 14 People and Social Interaction: Drivers of Service Innovation
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    Chapter 15 Queues in Service Systems: Some Unusual Applications
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    Chapter 16 Clarifying the Concept of Smart Service System
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    Chapter 17 Exploring the Journey to Services
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    Chapter 18 Digital Workers in Service Systems: Challenges and Opportunities
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    Chapter 19 Visualizing and Improving Service Processes with PCN Analysis
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    Chapter 20 Value-in-Context: An Exploration of the Context of Value and the Value of Context
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    Chapter 21 On the Evolution of Service Ecosystems: A Study of the Emerging API Economy
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    Chapter 22 Institutionalization Process of Service Innovation: Overcoming Competing Institutional Logics in Service Ecosystems
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    Chapter 23 Innovation in Sociomaterial Practices: The Case of IoE in The Healthcare Ecosystem
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    Chapter 24 Toward the Service Science of Education
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    Chapter 25 Leveraging Big Data Platform Technologies and Analytics to Enhance Smart City Mobility Services
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    Chapter 26 Population Health as a Network of Services: Integration of Health, Education, and Social Services
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    Chapter 27 Incremental and Radical Service Innovation in Healthcare
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    Chapter 28 Further Advancing Service Science with Service-Dominant Logic: Service Ecosystems, Institutions, and Their Implications for Innovation
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    Chapter 29 On the Ethical Implications of Big Data in Service Systems
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    Chapter 30 Service-Dominant Logic: Inward and Outward Views
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    Chapter 31 Service Economies and Complexity
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    Chapter 32 From Whence to Where in Service Science: A Perspective on the Field
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    Chapter 33 Embedding Humans into Service Systems Analysis: The Evolution of Mathematical Thinking About Services
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    Chapter 34 The Demolition of Service Scientists’ Cultural-Boundaries
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    Chapter 35 Asset-Based Strategies for Capturing Value in the Service Economy
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    Chapter 36 Service as Intersubjective Struggle
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Handbook of Service Science, Volume II
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-319-98512-1
978-3-31-998511-4, 978-3-31-998512-1

Maglio, Paul P., Kieliszewski, Cheryl A., Spohrer, James C., Lyons, Kelly, Patrício, Lia, Sawatani, Yuriko

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Master 7 23%
Student > Bachelor 3 10%
Other 2 7%
Professor > Associate Professor 2 7%
Other 3 10%
Unknown 6 20%
Readers by discipline Count As %
Business, Management and Accounting 11 37%
Design 4 13%
Computer Science 2 7%
Engineering 2 7%
Energy 1 3%
Other 3 10%
Unknown 7 23%