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Autor: Sven Seidenstricker

Data as Basis for Business Models

Data as Basis for Business Models

Recommendations for Competitive Predictive Maintenance Business Models
Sven Seidenstricker, Saskia Ramm, Barbara Dinter
The combination of product service systems and big data requires a change in the existing, traditional business models and a repositioning of the companies. Since these changes are often a challenge, this article uses the example of predictive maintenance to present the influences of big data and product service systems on the business models of medium-sized companies in mechanical and plant engineering. Based on a systematic literature review in combination with expert interviews, numerous practical business model implications were obtained, providing sound guidance for industry representatives.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 33-36 | DOI 10.30844/IM_22-6_33-36
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  • I4S+
  • Industry 4.0
    • Automation
    • Digital Twin
    • Factory Planning
    • Industry 4.0
    • Internet of Things
    • Lean Production
    • Sustainability
    • Manufacturing Systems
    • Adaptability
  • Artificial Intelligence
  • Functions
    • Start-up Management
    • Maintenance
    • Logistics
    • Assembly
    • Product Development
    • Production Planning
    • Production Control
    • Process Management
    • Quality Management
    • Risk Management
    • Safety
  • Tools
    • Additive Manufacturing
    • Analytics
    • Augmented Reality
    • Blockchain
    • Modularization
    • Training
    • Robotics
    • Sensors
    • Simulation
    • Software
  • Management
    • Services
    • Dynamics
    • Energy Efficiency
    • Leadership
    • Business Models
    • Innovation
    • SME
    • Management
    • Product Piracy
    • Resource Efficiency
    • Strategy
    • Profitability
  • Journal
    • Current Issue
    • Editorial Calendar
    • Editorial Board
    • Order in Print
    • All E-Journals
    • Annual Table of Contents
    • List of Reviewers
  • Information
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