New Digital Work: Digital Sovereignty at the Workplace

Contents
Authors’ CVs
New Digital Work and Digital Sovereignty at the Workplace – An Introduction
1 New Work and Digital Sovereignty
2 Dimensions of Digital Sovereignty at the Workplace
3 The Technology Dimension
4 The People Dimension
5 The Organization Dimension
6 Overarching and Cross-Cutting Aspects
7 Concluding Remarks
References
Measuring the Impact of Artificial Intelligence and Robotics on the Workplace
1 Introduction
2 The Task-Based Approach
3 Assessing Automation Through the Content of Patents
4 Using AI-Related Job Postings as an Indicator for the Use of AI in Firms
5 AI Measures Relying on Benchmarks
6 A Skill-Based Approach
7 Strengths and Weaknesses of the Different Approaches
8 Conclusion
References
Digital Work in Smart Production Systems
1 Introduction
2 Digital Planning of Smart Production Systems
2.1 Agile Planning Methods
2.2 The Change of Planning Processes for and with New Technologies
2.3 The Emerging Role of Data Science and IoT in Engineering Smart Production Systems
3 Operating Smart Production Systems
3.1 Connectivity and Internet of Things in Operating Smart Production Systems
3.2 Flexible Production Systems
3.3 Worker Assistance Systems
4 Improving Smart Production Systems
4.1 From Classic Improvement Methods and Roles to Digital Shop Floor Management
4.2 Industrial Data Science Changes the Possibilities and Requirements of Improvement Processes
5 Conclusion and Outlook
References
Scenario-Based Foresight in the Age of Digital Technologies and AI
1 Introduction
2 Research Design
3 Results
4 Discussion
References
Human-Machine-Interaction in Innovative Work Environment 4.0 – A Human-Centered Approach
1 Introduction
2 Artificial Intelligence
2.1 Motivation and Introduction
2.2 Theoretical Background
2.3 Application
3 Robotic Process Automation
3.1 Motivation and Introduction
3.2 Theoretical Background
3.3 Application
4 Virtual Reality
4.1 Motivation and Introduction
4.2 Theoretical Background
4.3 Application in Tunnel Boring
5 Conclusion
References
Collaborative Work Enabled by Immersive Environments
1 Global Collaboration in the Context of Digital Transformation
1.1 The Interplay of Digital Transformation and Remote Work
1.2 Effect of the Covid-19 Pandemic on Remote Collaboration
2 Collaborative Virtual Environments
2.1 Immersive Technologies
2.2 Dimensions of Collaborative Environments
2.3 Technical Implementation of CVEs
3 Significant Challenges of CVEs
3.1 Acceptance of Immersive Approaches
3.2 Continuous Collaboration Throughout Different Dimensions
3.3 Measuring the Usability of CVEs
4 CVE Application Areas
4.1 Business
4.2 Engineering
4.3 Education
5 Summary and Outlook for Global Digital Work
References
Participation in Work of People with Disabilities by Means of Technical Assistance
1 Participation in Working Life of People with Disabilities
1.1 Introduction
1.2 Situation Analysis and Socio-political Background: The Necessity for Regular and Sheltered Workplaces
1.3 Who is Affected: It All Depends on the Context
2 Participatory Justice: Finding One’s Place in Working Life
2.1 Inclusion and Exclusion: Institutional, Intersubjective, and Material Manifestations
3 Identify and Prevent Mechanisms of Professional Exclusion
3.1 Structural Barriers
3.2 Intersubjective Exclusion
3.3 Institutional Requirements
4 Technical Assistance to Support Work Participation of People with Intellectual Disabilities and High Support Needs
4.1 Technical Assistance Design and Development
4.2 Field Research Process
5 Results
5.1 Promotion of Independent Work Participation Through Technical Assistance
6 Conclusion
References
Designing Explainable and Controllable Artificial Intelligence Systems Together: Inclusive Participation Formats for Software-Based Working Routines in Industry
1 Project Framework, Preliminary Work and Motivation for the Workshop
2 Theoretical Basis for the Workshop
3 Case Studies, Discussion, and Results
3.1 Integration of Different User Groups
3.2 Embedding Human Skills in Standardized Digital Production Processes
3.3 Data Protection and Ethics
4 Outlook: Potential for Further Development
References
Digital Work – Transforming the Higher Education Landscape in South Africa
1 Introduction
2 Challenges in the Education Landscape: The Challenge of Disparities, Inequality and Exclusion
3 A Switch to Online Teaching and Learning
4 Some Technological Interventions, Applications and Adaptation
5 Conclusion
References
It’s Coming Home Down Under – The Potential of Digital Work to Overcome Australia’s Challenges in Reshoring Manufacturing
1 The Tides Are Turning – From Offshoring to Reshoring
1.1 The Move to Globalisation and Integrated Supply Chains
1.2 Australia’s Role
1.3 The World is Changing Again
1.4 A Rethink Towards Reshoring
1.5 Effects on Australian Manufacturing
1.6 Technology Enablers
2 Digital Technologies to the Rescue – Are They a Game Changer for Reshoring
2.1 The Emergence of Digital Capabilities
2.2 Does I4.0 Help with Reshoring Ambitions?
3 The Australian Case – Building a Digital Foundation to Bring Back Manufacturing
3.1 The Unique Manufacturing Landscape in Australia
3.2 New Skills Are Needed
3.3 A New Degree
4 Conclusion
References
Digital Work in East Asia
1 Introduction and Background
1.1 Decent Work in the Asia-Pacific Region
1.2 Technology Affecting Jobs in Asia
1.3 Work and Wellness
1.4 Digital Work and Labor Platforms in Asia
1.5 Gender Issues
1.6 Key Challenges and Policies in Taiwan
2 In-Depth Analysis: Taiwan
2.1 Trends in Beneficial Infrastructure and Smart City for Digital Innovation
2.2 Current Level of Digitalization in Taiwan
2.3 Digitalization of the Labor Market in Taiwan
2.4 Talent Development and Cultivation in Taiwan
2.5 National Promotion Strategy for Digital Economy
2.6 Outlook
3 Conclusion and Outlook
References
Artificial Intelligence and Assistance Systems for Technical Vocational Education and Training – Opportunities and Risks
1 Introduction
2 Changes of the Man-Machine-Interface (M-M-I) in the Age of Digitalization
3 Challenges for (Vocational) Learning
4 Which Challenges Can Be Derived for Occupational Learning?
5 Changes of Vocational Learning Triggered by New Forms of Learning and New Technologies
6 Change of Work-Related Learning Triggered by Assistance Systems and Artificial Intelligence
7 Opportunities and Risks of Artificial Intelligence for Vocational Education
7.1 AI Supports the Handling of Complexity
7.2 AI Supports Corporate Learning and Creates a Learning-Supporting Work Environment
7.3 AI Creates and Destroys Work Places
8 Consequences for Vocational Education
References
Designing Digital Work – A Tale of Two Complexities
1 The Rise of Digital Work
2 Complex Sociotechnical Systems
3 A Crisis of Work System Design
4 Complexity as a Borderline Experience
5 An Integrative Approach
6 Digital Work Design at the FOM Aachen
7 Epilogue
References
Work-Based Learning in the Mexican Automotive Sector
1 Introduction
1.1 Mexican – German Cooperation Model
1.2 The Mexican Automotive Sector and Further Education
1.3 Demands for the Company Transformation
1.4 Changes in the Corporate Culture
1.5 Development of Skills in the Workforce
2 E-Mas Learning Taxonomy and Blended-Learning Concept
3 Approach for the Development of E-Mas
4 Work-Related Training Design
5 Work Orientation of the E-Mas Program
5.1 FIR Course ‘Chief Workplace-Innovation Manager’
5.2 MTMA Course ‘MTM-Practitioner’
5.3 WBA Course ‘Expert Industrial Tool and Die Making’
5.4 WBA Course ‘Lean Management 4.0 Production Expert’
6 Conclusion
References
Capacity Building for Digital Work – A Case from Sino-German Cooperation
1 Introduction and Motivation
1.1 Motivation and Goals
1.2 Research Goal
1.3 Structure
2 Digital Enablers
2.1 Agile Development
2.2 Digital Module Models
2.3 Feature Recognition/Process Identification
2.4 Machine Tool Selection
2.5 Layout Generation, Validation and Optimization
3 Application Scenarios
3.1 Plug-and-Play Application - Communication Technology for Digital Twins
3.2 Artificial Intelligence Technology in Machining: Chatter Identification Tools for Intelligent Manufacturing
4 Socio-technical Aspects and Common Marketplace
4.1 International Collaboration
4.2 Socio-economic Potential and Challenges of the Different Stakeholders
5 Capacity Building
6 Summary
References
Quantification of Uncertainties in Neural Networks
1 Introduction
2 Probabilistic Machine Learning
2.1 Basic Principles
2.2 Bayesian Neural Networks
3 Overview of Methods
3.1 The Dropout Method
3.2 Ensembles
3.3 Variational Inference
3.4 Laplace Approximation
3.5 Kalman Filter-Based Approaches
3.6 Markov Chain Monte Carlo
4 Conclusion
References
A Final Word
References
Author Index