This book focuses on traditional fields of business studies and economics and how digitalization has affected them. It provides an overview about the lessons learned from academic research and highlights implications for practitioners. Digitalization has not only changed the ways business administration and economics are taught, but also the substance at the core of the two disciplines. Chapters from expert contributors define and carefully evaluate the developments that have occurred over the last decades. The authors further provide an assessment of how industry branches have adapted and in which form regulators have engaged. Attention is given to the theoretical and empirical findings from recent scholarly literature. Furthermore, the authors provide some novel insights from their own research at the University of Bremen. This book appeals to business administration, economics, and entrepreneurship scholars and practitioners alike.
Author(s): Lars Hornuf
Series: Advanced Studies in Diginomics and Digitalization
Publisher: Springer
Year: 2022
Language: English
Pages: 217
City: Cham
Foreword
Contents
HumanRoboLab: Experiments with Chatbots in Management Education at Universities
1 AI-Based Chatbots in Higher Education Teaching: Why?
1.1 Process Support as a Field of Application
1.2 Modeling and Training of Chatbots
1.3 Chatbots as an Introduction to Machine Learning
2 Chatbot Projects in the Real-World Laboratory
2.1 The HumanRoboLab Concept
3 A Selection of the Chatbot Projects from the HRL
3.1 TIKAY BOT (Techniker Krankenkasse)
3.2 Museum Bot XT-9U (Universum GmbH)
3.3 Design Thinking Bot (University of Bremen)
3.4 Alan (OHB SE)
4 Competencies and Skills Learned
5 What Is Next for the Chatbot Laboratory?
References
Marketing in a Digital World
1 Introduction
2 Chatbots
2.1 Humanness of Chatbots: A Two-Sided Coin
2.2 Social Perceptions of Chatbots
2.3 Potential Negative Consequences of Chatbots
2.3.1 In Sum: Chatbot Usage Must Be Carefully Considered
3 Voice Assistants
3.1 Factors Influencing the Usage of Voice Assistants
3.2 Design Factors for the Interaction Between Voice Assistants and Consumers
3.2.1 Voice Assistants: A Field with Vast Research Potential
4 Data Privacy Management
4.1 Transparency
4.2 Privacy Control and Data Sovereignty
4.3 Privacy Customization
4.4 Data Handling
5 Conclusion
References
Human Resource Management in a Digital Environment
1 Introduction
2 Mental Health at Work
2.1 Challenges: Technostress and Blurred Boundaries
2.2 Assessment of Mental Stress and Strain at (Digitalized) Work
2.3 Opportunities: Innovation in Occupational Health Promotion Through Online and Smartphone-Based Interventions
3 Work Design
3.1 Prospective Work Design in the Implementation of New Technologies
3.2 Employee Participation Through Digitalized Idea Management
3.3 Work Design in Different Forms of Digital Work
4 Leadership and Digitalization
4.1 Leadership Competencies in a Digital Environment
4.2 Automating Leadership Functions
5 People Development
5.1 E-Coaching
5.2 The Impact of Digitalization and Automation on Required Competencies
6 Human Resource Analytics
6.1 Application Options
6.2 Process Models for the Implementation of HR-A Projects
7 Conclusion
References
Virtual Business Incubators: A Support for Entrepreneurship in Rural Areas?
1 Introduction
2 Conceptual Background
2.1 Entrepreneurship in Rural Areas
2.2 Virtual Business Incubators
3 Method
3.1 Research Design
3.2 Data Selection and Collection
3.3 Data Analysis
3.4 Research Validity
4 Findings
4.1 Case Description
4.2 How Virtual Business Incubators Can Support Entrepreneurship in Rural Areas
4.2.1 Balancing Time Shortages
4.2.2 Extending Entrepreneurial Networks
4.2.3 Providing An Entrepreneurial Community and Culture
5 Discussion
6 Conclusion
6.1 Limitations
6.2 Implications
6.3 Future Research
References
Digital Dark Nudges
1 Introduction
1.1 Manifestations of Digital Dark Nudges
1.2 Behavioral Science Background
2 Driving Factors and Risk Potential
3 Relevant Problem Areas
3.1 Case 1: Manipulative Design of Cookie Banners
3.1.1 Practical Examples
3.1.2 Legal Aspects and Gaps in Privacy Protection
3.2 Case 2: Subscription Traps
3.2.1 Practical Examples
3.2.2 Legal Protection Instruments and Protection Gaps
4 Overcoming Digital Dark Nudging
4.1 State and Private Regulatory Responses
4.2 Outlook
Literature
Machine Learning in Accounting Research
1 Introduction
2 Machine Learning
2.1 Cutting through the Fog
2.2 Supervised and Unsupervised Learning Techniques
2.3 The Machine Learning Research Process
3 Machine Learning in Accounting Research
3.1 Financial Accounting and Auditing
3.2 Fraud Detection
3.3 Bankruptcy Prediction
3.4 Other Fields
4 Management Accounting
5 State of the Art and Future Opportunities
References
Asset Pricing in Digital Assets
1 Digital Assets on the Rise
2 Digital Assets and their Role in the Global Financial System
2.1 How Does a Blockchain Work?
2.2 Digital Asset Classification
2.3 The Global Digital Asset Market
3 Investments into Digital Assets
3.1 Can Digital Assets Be a Good Diversifier?
3.2 Asset Pricing and Investments
3.3 Investment Strategies Across Asset Classes
3.4 Investment Characteristics in Digital Assets
4 Conclusion
References
Artificial Intelligence, Surveillance, and Big Data
1 Introduction
2 Theoretical framework
3 Authoritarian Control and Innovation: Negative Effects
3.1 Censorship
3.2 Surveillance
4 Authoritarian Surveillance and Big Data
4.1 Cooperation Between the State and the Private Sector
4.2 Big Data and Innovation in AI
5 Conclusion
References
Digital Transformation of Maritime Supply Chains Focusing on Ocean Shipping, Port Management, and Hinterland Connection
1 Innovation in Maritime Business and Transportation
2 Present Developments and Trends
3 Future Studies and Vision on Digital Maritime Supply Chains
4 Digital Divide and Decision Culture
5 Power of Data and Consequences for Business Models
6 Synopsis and Conclusions
References
Social Media Analytics in Operations and Supply Chain Management: Opportunities, Challenges, and Paradoxes
1 Introduction
2 Defining Big Data and SMA in OSCM
3 Some Theoretical Perspectives on Textual Social Media Data for OSCM
3.1 User-Generated Content as Signals for OSCM
3.2 Signaling Theory and the Social Media Environment
4 SMA in OSCM: The Main Data Sources, Opportunities, and Applications
4.1 Big Data Sources and Social Media
4.2 Different Sources for SMA and how these Have Been Covered by the OSCM Literature
4.3 SMA Applications According to the SCOR Model
4.3.1 Planning: Demand Forecasting and Inventory Management
4.3.2 Sourcing: Supplier Evaluation, Information Sharing, and Idea Capturing
4.3.3 Making: Product Development and Risk Management
4.3.4 Delivery: Transportation Information and Customer Service
4.3.5 Return: Returns Forecasting
5 SMA in OSCM: Challenges and Characteristics
5.1 Signal Processing: Some Current Challenges within the Dominant SMA Techniques in OSCM
5.2 Dealing with Big Data Characteristics in SMA for Effective Signal Capture
5.2.1 Volume
5.2.2 Velocity
5.2.3 Variety
5.2.4 Veracity
6 Coping with Big Data Paradoxes in Order to Overcome Signal Distortion in OSCM
6.1 Connectivity Paradox
6.2 Performance Paradox
6.3 Transparency Paradox
6.4 Power Paradox
7 Current Issues in the Practice of SMA in OSCM
7.1 Security and Data Breaches
7.2 Moral and Ethical Challenges
8 Conclusion
References
