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Smart Services Summit

Digital as an Enabler for Smart Service Business Development

  • Conference proceedings
  • © 2021

Overview

  • Offers concrete guidance on how companies can create value through digitalization
  • Presents approaches to creating real value for various actors of the ecosystem
  • Combines the perspectives of industrial needs with the latest research

Part of the book series: Progress in IS (PROIS)

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Table of contents (12 papers)

  1. Value System Understanding for Smart Services

  2. Value Propositions for Smart Services

  3. Value Capture with Smart Services

Keywords

About this book

This book offers state-of-the-art descriptions of intelligent service innovations in industry, supported by novel scientific approaches. It gathers findings presented at the 3rd Intelligent Services Summit, which took place in Zurich in September 2020, and chiefly focused on the design and application of Digital Twin as an enabler for business development in the field of smart services.



Divided into three parts, the book addresses the challenges involved in the successful development and implementation of smart services for industry and science, ranging from data management to product design and lifecycle management. The four main aspects covered are industrial challenges, value system design (how to integrate resources into service ecosystems to create value), value creation through value proposition (how to create value for ecosystem actors), and value capture (how to create value for ecosystem businesses). Given its scope, the book offers an essential guide for practitioners and advanced students alike.







 

Editors and Affiliations

  • Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland

    Shaun West

  • Zurich University of Applied Sciences Winterthur, Zurich, Switzerland

    Jürg Meierhofer

  • C. Ganz Innovation Services, Zürich, Switzerland

    Christopher Ganz

About the editors

Shaun West lectures in Smart Service Innovation at Lucerne University of Applied Sciences and Arts. In his role, Shaun works closely with industry to better understand the application and development of Smart Services in industrial environments. He collaborates with several universities, including Stanford, Aston Business School, Florence, and Bergamo. He is leading a Swiss 1MUSD project that is focused on the application of Smart Twins in complex industrial application. His experience in digital services dates from the 1990s when National Power was selling its power plant improvement services to other power companies. He worked for GE Energy Services (Italy), as the VP Business Development at Sulzer (Switzerland) and for RWE (UK). Shaun holds an MBA from HEC (Paris) and a Ph.D. from Imperial College (London). He lives close to Zurich in Switzerland.



Jürg Meierhofer holds a Ph.D. from ETH Zurich and an executive MBA from the University of Fribourg. He is Head of the Smart Services group of the Swiss Alliance for Data-Intensive Services, Industry 4.0 Coordinator at Zurich University of Applied Sciences (ZHAW) and a board member of the Swiss Customer Service Association (SKDV). The optimization and design of Smart Services are the red thread through his activities in various industries, and he is Director of studies for continuing education in the field of Smart Service Engineering and Industry 4.0. He leads several projects with numerous industrial companies and regularly writes publications on these topics.



Christopher Ganz is the founder of C. Ganz Innovation Services, advising companies in innovation, servitization, and digitalization. Before that, he was Group Vice President, Head of Solutions and Standards at ABB Future Labs, responsible for the conception of solutions for the future needs of future customers of ABB, as well as for standardization strategies for ABB Future Labs. He holds a doctoral degree from ETH Zurich with a focus on Automatic Control and an undergraduate degree in electrical engineering from the same institute. Focus areas are autonomous industries, and industrial artificial intelligence (AI).

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