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Digital business models in industria...
~
Muller, Julian M.
Digital business models in industrial ecosystemslessons learned from industry 4.0 across Europe /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Digital business models in industrial ecosystemsedited by Kai-Ingo Voigt, Julian M. Muller.
Reminder of title:
lessons learned from industry 4.0 across Europe /
other author:
Voigt, Kai-Ingo.
Published:
Cham :Springer International Publishing :2021.
Description:
xi, 249 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Business logisticsEurope.
Online resource:
https://doi.org/10.1007/978-3-030-82003-9
ISBN:
9783030820039$q(electronic bk.)
Digital business models in industrial ecosystemslessons learned from industry 4.0 across Europe /
Digital business models in industrial ecosystems
lessons learned from industry 4.0 across Europe /[electronic resource] :edited by Kai-Ingo Voigt, Julian M. Muller. - Cham :Springer International Publishing :2021. - xi, 249 p. :ill., digital ;24 cm. - Future of business and finance,2662-2475. - Future of business and finance..
From Industry 4.0 to Digital Industrial Business Models -- I) Digital Supply Chain Management and Business Models -- Digital Transformation of Logistics and SCM - The Long Way from Digitization to Digital Business Models -- Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0 -- II) Digital Business Models in Manufacturing -- Digitalization as an Enabler of Subscription Business Models in the Manufacturing Industry -- Digital Business Models for Industrial Suppliers - the Case of Schaeffler OPTIME -- III) Digital Industrial Platforms -- German B2B Platforms' Contribution towards a resilient & future-proof Economy -- How Digital Platforms transform the Market for Logistics Services -- IV) Industrial Data-driven Business Models -- Industrial Data-driven Business Models: Towards a goods-service-data continuu -- Realizing Data-driven Business Models by launching Containers into the Cloud -- V) AI and Blockchain in Production and Supply Chain Management -- If you go for AI, be aware of the psychological Hurdles around it - Practical and theoretical Insights on the Industrial Application of Artificial Intelligence -- Blockchain for Supply Chain Traceability? Case Examples for Luxury Good -- VI) Lessons learned from European Ecosystems -- The Interrelationship between Industry 4.0 and Servitization in manufacturing SMEs: the Case of the Basque Country -- Beyond Excellence in the Automotive Industry in Industry 4.0? Lessons learned from the creative Business Sector -- Geographical Factors for the Implementation of Industry 4.0 in Central Eastern Europe.
In recent years, digital business models have frequently been the subject of academic and practical discourse. The increasing interconnectivity across the entire supply chain, which is subsumed under the term Industry 4.0, can unlock even farther-reaching potentials for digital business models, affecting entire supply chains and ecosystems. This book examines the specific challenges and obstacles that supply chain and ecosystem management poses with regard to the development of digital business models. The top-quality contributions gathered here focus on the successful implementation of Industry 4.0 in digital business models for industrial organizations in a European context, making the book a valuable asset for researchers and practitioners alike.
ISBN: 9783030820039$q(electronic bk.)
Standard No.: 10.1007/978-3-030-82003-9doiSubjects--Topical Terms:
266273
Business logistics
--Europe.
LC Class. No.: HD38.5 / .D54 2021
Dewey Class. No.: 658.5
Digital business models in industrial ecosystemslessons learned from industry 4.0 across Europe /
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lessons learned from industry 4.0 across Europe /
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edited by Kai-Ingo Voigt, Julian M. Muller.
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From Industry 4.0 to Digital Industrial Business Models -- I) Digital Supply Chain Management and Business Models -- Digital Transformation of Logistics and SCM - The Long Way from Digitization to Digital Business Models -- Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0 -- II) Digital Business Models in Manufacturing -- Digitalization as an Enabler of Subscription Business Models in the Manufacturing Industry -- Digital Business Models for Industrial Suppliers - the Case of Schaeffler OPTIME -- III) Digital Industrial Platforms -- German B2B Platforms' Contribution towards a resilient & future-proof Economy -- How Digital Platforms transform the Market for Logistics Services -- IV) Industrial Data-driven Business Models -- Industrial Data-driven Business Models: Towards a goods-service-data continuu -- Realizing Data-driven Business Models by launching Containers into the Cloud -- V) AI and Blockchain in Production and Supply Chain Management -- If you go for AI, be aware of the psychological Hurdles around it - Practical and theoretical Insights on the Industrial Application of Artificial Intelligence -- Blockchain for Supply Chain Traceability? Case Examples for Luxury Good -- VI) Lessons learned from European Ecosystems -- The Interrelationship between Industry 4.0 and Servitization in manufacturing SMEs: the Case of the Basque Country -- Beyond Excellence in the Automotive Industry in Industry 4.0? Lessons learned from the creative Business Sector -- Geographical Factors for the Implementation of Industry 4.0 in Central Eastern Europe.
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In recent years, digital business models have frequently been the subject of academic and practical discourse. The increasing interconnectivity across the entire supply chain, which is subsumed under the term Industry 4.0, can unlock even farther-reaching potentials for digital business models, affecting entire supply chains and ecosystems. This book examines the specific challenges and obstacles that supply chain and ecosystem management poses with regard to the development of digital business models. The top-quality contributions gathered here focus on the successful implementation of Industry 4.0 in digital business models for industrial organizations in a European context, making the book a valuable asset for researchers and practitioners alike.
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based on 0 review(s)
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EB HD38.5 .D574 2021 2021
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https://doi.org/10.1007/978-3-030-82003-9
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