Innovation Through Information Systems: Volume III: A Collection of Latest Research on Management Issues (Lecture Notes in Information Systems and Organisation Book 48)

This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. This volume gathers the revised and peer-reviewed papers on the topic "Management" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021. Preface Contents Data Management and Data Ecosystems En Track Description Research Articles 2.1 DataData Source Selection Support in the Big Data Integration Process - Towards a Taxonomy (Felix Kruse, Christoph Schröer, and Jorge Marx Gómez) 2.2 Permissioned Blockchain for Data Provenance in Scientific Data Management (Julius Möller, Sibylle Fröschle, and Axel Hahn) 2.3 Quantity over Quality? – A Framework for Combining Mobile Crowd Sensing and High Quality Sensing (Barbara Stöckel, Simon Kloker, Christof Weinhardt, and David Dann) 2.4 Dezentrale und Microservice-Orientierte Datenintegration am Beispiel Externer Datenquellen (Christoph Schröer and Jonas Frischkorn) 2.5 Leveraging the Potentials of Federated AI Ecosystems (Marco Röder, Peter Kowalczyk, and Frédéric Thiesse) Data Source Selection Support in the Big Data Integration Process – Towards a Taxonomy 1 Introduction 2 Background 3 Development Process of the Data Source Taxonomy 3.1 Development of the Taxonomy 3.2 Evaluation of the Taxonomy 4 The Final Taxonomy 5 Application of the Taxonomy in the Data Source Selection 5.1 Data Integration Perspective 5.2 Decision-Maker Perspective 6 Conclusion and Further Research References Permissioned Blockchain for Data Provenance in Scientific Data Management 1 Introduction 2 Scientific Data Management in a Decentralized Context 2.1 Scientific Workflows and Data Provenance 2.2 Decentralized Data in Data Spaces 2.3 Identity-Based Blockchain 2.4 Related Work 2.5 Research Objective 3 Design of the Data Provenance Blockchain with Identifiable Entities 3.1 Architectural Components 3.2 Data Provenance Model 3.3 Blockchain Architecture 3.4 Security Analysis 4 Evaluation 4.1 Case Study: AIS Data Processing in a Maritime Data Space 4.2 Performance Evaluation 4.3 Extended Example: Setting with Confidential Data Sets 5 Discussion and Conclusion References Quantity Over Quality? – A Framework for Combining Mobile Crowd Sensing and High Quality Sensing 1 Introduction 2 Design Science Research Methodology 3 Literature Review 3.1 Approach to Literature Review 3.2 MCS and HQS: Clarification of Terms 3.3 Literature Review on Combining MCS and HQS 4 Artifact Description 4.1 Hybrid Sensing Classification Matrix 4.2 Hybrid Sensing Framework 5 Discussion and Outlook 6 Conclusion References Decentralized and Microservice-Oriented Data Integration for External Data Sources 1 Introduction 2 Problem Statement and Challenges 3 Microservice-Oriented Data Integration 4 Summary and Outlook References Leveraging the Potentials of Federated AI Ecosystems 1 Introduction 2 Theoretical Background 2.1 Edge Intelligence 2.2 Federated Learning 3 Research Agenda 4 Future Work and Expected Contribution References Digital Education and Capabilities En Track Description Research Articles 2.1 Playing (Government) Seriously: Design Principles for E-Government Simulation Game Platforms (Sebastian Halsbenning, Marco Niemann, Bettina Distel, and Jörg Becker) 2.2 New Workplace, New Mindset: Empirical Case Studies on the Interplay between Digital Workplace and Organizational Culture (Caterina Baumgartner, Eva Hartl, and Thomas Hess) 2.3 Individual Digital Study Assistant for Higher Education Institutions: Status Quo Analysis and Further Research Agenda (Christin Karrenbauer, Claudia M. König, and Michael H. Breitner) 2.4 Digital Credentials in Higher Education Institutions: A Literature Review (Elena Wolz, Matthias Gottlieb, and Hans Pongratz) 2.5 A Theory-Driven Design Science Research Approach Towards Gamified Videos in Digital Learning (Dennis Benner and Sofia Schöbel) 2.6 A Methodology to enhance Learning Processes with Augmented Reality Glasses (Tobias Dreesbach, Matthias Berg, Henning Gösling, Tobias Walter, Oliver Thomas, and Julia Knopf) 2.7 Digitalization Mindset and Capabilities: Preliminary Results of an Action Research Study (Ralf Plattfaut and Vincent Borghoff) Playing (Government) Seriously: Design Principles for e-Government Simulation Game Platforms 1 Introduction 2 Research Background 2.1 e-Competences and e-Government Simulation Games 2.2 Design of Simulation Game Platforms 3 Research Design 4 Platform Design 5 Setting 6 Results 6.1 Evaluation 6.2 Design Principles 7 Discussion and Conclusion References New Workplace, New Mindset: Empirical Case Studies on the Interplay Between Digital Workplace and Organizational Culture 1 Introduction 2 Theoretical Background 2.1 Digital Workplaces as Strategic Management Tool 2.2 Digital Workplaces and Culture Change 3 Methodological Approach 3.1 Case Selection and Data Collection 3.2 Data Analysis 4 Results 4.1 Within-Case Results 4.2 Cross-Case Results 5 Discussion 6 Implications, Limitations and Future Research References Individual Digital Study Assistant for Higher Education Institutions: Status Quo Analysis and Further Research Agenda 1 Introduction 2 Theoretical Foundations 2.1 DSA in HEI 2.2 Student Life Cycle 3 Research Design and Methodology 4 Results and Findings 5 Discussion, Implications, and Recommendations 6 Conclusions and Limitations References Digital Credentials in Higher Education Institutions: A Literature Review 1 Introduction 2 Terms and Related Work 3 Methodological Approach 4 Results 4.1 Technical Application 4.2 Specific Digital Credentials 4.3 Generic Digital Credentials 5 Discussion 6 Conclusion, Limitation, and Future Research References A Theory-Driven Design Science Research Approach Towards Gamified Videos in Digital Learning 1 Introduction 2 Theoretical Background 2.1 Gamified Learning 2.2 Fundamentals for Gamified Learning Videos 3 Methodology and Status Quo 4 Next Steps and Expected Contributions References A Methodology to Enhance Learning Processes with Augmented Reality Glasses 1 Introduction 2 Development of the Methodology 3 Methodology Application for a Technical Learning Session 4 Conclusion and Outlook References Developing Digitalization Mindset and Capabilities: Preliminary Results of an Action Research Study 1 Introduction 2 Theoretical Background: Organizational Digitalization Capabilities and Individual Mindset and Skills 3 Research Approach 4 Preliminary Results and Concluding Discussion References Digital Transformation and Business Models En Track Description Research Articles 2.1 What is Meant by Digital Transformation Success? Investigating the Notion in IS Literature (Philipp Barthel) 2.2 Exploring Strategic Orientations in the Age of Digital Transformation: A Longitudinal Analysis of Digital Business Model Patterns (Hannes Kurtz, Andre Hanelt, Lutz Maria Kolbe) 2.3 Untangling the Open Data Paradox: How Organizations Benefit from Revealing Data (Tobias Enders, Carina Benz, Gerhard Satzger) 2.4 How Challenging is the Development of Digital Services in an Automotive Environment? An Empirical Study of the Incongruences between Business and IT Experts (Mirheta Omerovic Smajlovic, Nihal Islam, Peter Buxmann) 2.5 Digital Leadership ‒ Mountain or Molehill? A Literature Review (Julia Katharina Ebert, Paul Drews) 2.6 The IT Artifact in People Analytics: Reviewing Tools to Understand a Nascent Field (Joschka Andreas Hüllmann, Simone Krebber, Patrick Troglauer) What is Meant by Digital Transformation Success? Investigating the Notion in IS Literature 1 Introduction 2 Underlying Research Foundations 3 Research Method 4 Results 5 Implications for Research on DT Success 6 Conclusion, Limitations and Outlook References Exploring Strategic Orientations in the Age of Digital Transformation: A Longitudinal Analysis of Digital Business Model Patterns 1 Introduction 2 Background 2.1 Digital Business Strategy and Strategic Orientations 2.2 Digital Business Model Patterns 3 Methodology, Data Sample and Analysis 4 Findings 4.1 Strategic Orientations in the Digital Age 4.2 Evolution of Digital Business Model Configurations and Changes in Strategic Orientations 5 Discussion and Conclusion 5.1 Discussion of Findings 5.2 Implications for iS Research and Business Practice 5.3 Limitations and Future Research References Untangling the Open Data Value Paradox: How Organizations Benefit from Revealing Data 1 Introduction 2 Fundamentals of Open Data 3 Research Design 4 Preliminary Results 5 Conclusion and Outlook References How Challenging is the Development of Digital Services in an Automotive Environment? An Empirical Study of the Incongruences Between Business and IT Experts 1 Introduction 2 Theoretical Background 3 Methodology 3.1 Research Setting 3.2 Data Collection and Analysis 4 Empirical Results 4.1 Business Values of a Digital Service 4.2 Technological Functionalities of a Digital Service 4.3 Strategy for the Development Process of a Digital Service 5 Discussion 6 Conclusion References Digital Leadership ‒ Mountain or Molehill? A Literature Review 1 Introduction 2 Methodology 3 Findings 3.1 DL Definition and Nomological Network 3.2 Digital Leader 3.3 Organizational Level 3.4 Individual Level 3.5 Future Research 4 Conclusion and Limitations References The IT Artifact in People Analytics: Reviewing Tools to Understand a Nascent Field 1 Introduction 2 People Analytics 3 The IT Artifact 3.1 Enhanced Understanding Through IT Artifacts 3.2 The IT Artifact in People Analytics 4 Methods 4.1 Identifying the Tools—Monitoring Social Media 4.2 Analysis and Coding Scheme 5 Results 5.1 Archetype 1: Employee Surveillance 5.2 Archetype 2: Technical Platforms 5.3 Archetype 3: Social Network Analytics 5.4 Archetype 4: Human Resources Analytics 5.5 Archetype 5: Technical Monitoring 6 Discussing Two Archetypes of People Analytics 6.1 People Analytics as Social Network Analytics 6.2 People Analytics as Human Resources Analytics 7 Conclusion References Digitale Innovationen and Entrepreneurship En Track Description Research Articles 2.1 Recombining Layers of Digital Technology: How Users Create and Capture Value (Axel Hund, Viktoria Diel, Heinz-Theo Wagner) 2.2 Enter the Shark Tank: The Impact of Business Models on Early Stage Financing (Timo Phillip Böttcher, Valentin Bootz, Tetiana Zubko, Jörg Weking, Markus Böhm, Helmut Krcmar) 2.3 Structuring the Jungle of Capabilities Fostering Digital Innovation (Christoph Buck, Timo Gruenke, Katharina Stelzl) 2.4 Digital Innovation Culture: A Systematic Literature Review (Daniel Kiefer, Clemens Van Dinther, Julian Spitzmüller) Recombining Layers of Digital Technology: How Users Create and Capture Value 1 Introduction 2 Related Literature 3 Method 4 Analysis Part 1: Digital Resource Categories and Reasons for Selection 4.1 Digital Resources Selected by Users – An Overview 4.2 Reasons for Selecting Digital Resources 5 Analysis Part 2: How and Why Do Users Recombine Different Digital Resources Within and Across Layers? 5.1 Intra-layer Recombination 5.2 Inter-layer Recombination 6 Discussion and Conclusion References Enter the Shark Tank: The Impact of Business Models on Early Stage Financing 1 Introduction 2 Related Work and Hypothesis Development 3 Dataset and Research Method 4 Results 5 Discussion 5.1 Contributions to Research 5.2 Contributions to Practice 5.3 Limitations 6 Conclusion and Future Research References Structuring the Jungle of Capabilities Fostering Digital Innovation 1 Motivation 2 Theoretical Background 2.1 Digital Innovation 2.2 Organizational Capabilities 3 Research Method 4 Digital Innovation Capability Model 5 Conclusion, Discussion and Further Research References Digital Innovation Culture: A Systematic Literature Review 1 Introduction 2 Theoretical Context and Boundaries 3 Research Method 3.1 Literature Search 3.2 Literature Evaluation 3.3 Literature Analysis and Synthesis 4 Results of the Literature Review 4.1 Corporate Entrepreneurship 4.2 Digital Awareness and Necessity of Innovations 4.3 Digital Skills and Resources 4.4 Ecosystem Orientation 4.5 Employee Participation, Agility and Organizational Structures 4.6 Error Culture and Risk-Taking 4.7 Internal Knowledge Sharing and Collaboration 4.8 Customer and Market Orientation 4.9 Open-Mindedness and Willingness to Learn 5 Discussion and Implications for Future Research 6 Conclusion and Limitations References Enterprise Modelling and Information Systems Development En Track Description Research Articles 2.1 How the Dimensions of Supply Chain are Reflected by Digital Twins: A State-of-the-Art Survey (Falk Freese, André Ludwig) 2.2 Making a Case for Multi-level Reference Modeling – A Comparison of Conventional and Multi-level Language Architectures for Reference Modeling Challenges (Sybren de Kinderen, Monika Kaczmarek-Heß) 2.3 Notation-Agnostic Subprocess Modeling for Adaptive Case Management (Johannes Tenschert, Sebastian Dunzer, Martin Matzner) 2.4 Capturing the Dynamics of Business Models: Towards the Integration of System Dynamics and Reference Modeling (Maren Stadtländer, Thorsten Schoormann, Ralf Knackstedt) chSec8 How the Dimensions of Supply Chain are Reflected by Digital Twins: A State-of-the-Art Survey 1 Introduction 2 Theoretical Background 2.1 Supply Chain 2.2 Digital Twin 2.3 Related Surveys 3 Methodology 4 Analysis 4.1 Applications and Use Cases from Industry and Academia 4.2 Supply Chain Dimensions 4.3 Digital Twin Dimensions 4.4 Digital Twin Use Cases Analysis 5 Contribution, Limitation, and Future Research References Making a Case for Multi-level Reference Modeling – A Comparison of Conventional and Multi-level Language Architectures for Reference Modeling Challenges 1 Introduction 2 Reference Modeling 2.1 Reference Models and Challenges in Their Creation and Usage 2.2 A Reference Model for Smart Grid Cyber Security 3 Challenges of Reference Modeling with Conventional Meta Modeling 3.1 Conventional Meta Modeling 3.2 Challenges with Conventional Meta Modeling 4 Multi-level Reference Modeling 4.1 Multi-level Modeling 4.2 Addressing Challenges with Multi-level Modeling 4.3 Summarizing Comparison 5 Conclusions and Outlook References Notation-Agnostic Subprocess Modeling for Adaptive Case Management 1 Introduction 2 Fundamentals 2.1 Adaptive Case Management 2.2 Process Modeling Paradigms 3 Related Work 4 Methods 5 Motivating Example 6 Notation-Agnostic Subprocess Modeling 6.1 Case Model 6.2 Sketch 6.3 Case and Process State 6.4 Data Dependencies 6.5 Common and Differentiating Execution Semantics 7 Demonstration: Lecture “Process Analytics” 8 Discussion 8.1 Adaptive Case Management 8.2 Notation-Agnostic Process Modeling 8.3 Roles and Execution Semantics 8.4 The Case as Shared Context 8.5 Towards Adaptive Case Mining 9 Conclusion References Capturing the Dynamics of Business Models: Towards the Integration of System Dynamics and Reference Modeling 1 Introduction and Problem Awareness 2 Reference Modeling for System Dynamics-Based Business Model Development 3 Reference Model Components in Related Literature 4 Research-in-Progress and Outlook References Future of Digital Markets and Platforms En Track Description Research Articles chSec3 A Systematic Literature Review of Digital Platform Business Models 1 Introduction 2 Research Design and Methodology 3 Theoretical Background on Digital Platform Business Models 4 Results 5 Discussion and Conclusion 5.1 Theoretical Implications 5.2 Practical Implications 5.3 Future Research 5.4 Limitations References A Taxonomy of Industrial IoT Platforms’ Architectural Features 1 Introduction 2 Foundations 2.1 Digital Platforms 2.2 (Industrial) Internet of Things 2.3 Industrial Internet of Things Platforms 3 Method 3.1 Taxonomy Development 3.2 Cluster Analysis and Archetype Identification 4 Taxonomy of Architectural Setups of Industrial IoT Platforms 4.1 Infrastructure Layer 4.2 Network Layer 4.3 Middleware Layer 4.4 Application Layer 5 Industrial IoT Platform Archetypes 5.1 Archetype 1: Allrounders (26%) 5.2 Archetype 2: Purists (38%) 5.3 Archetype 3: Analysts (24%) 5.4 Archetype 4: Connectors (12%) 5.5 Discussion of the Cluster Results 6 Conclusion and Outlook References Explaining Reviewing Effort: Existing Reviews as Potential Driver 1 Introduction 2 Related Literature 3 Theoretical Background and Hypotheses Development 4 Empirical Analysis 4.1 Research Environment 4.2 Data Preparation and Method Specification 4.3 Results 5 Discussion and Conclusion 5.1 Theoretical Implications 5.2 Practical Implications 5.3 Limitations and Future Research References A Comparisonof Crowd Types: Idea Selection Performance of Students and Amazon Mechanical Turks 1 Introduction 2 Theoretical Background 2.1 Crowd Tasks 2.2 Crowd Types in Idea Selection 2.3 Information Processing 2.4 Attention and Quality Control in Crowdsourcing 2.5 Research Model and Hypotheses Development 3 Methodology 3.1 Idea Set 3.2 Subjects 3.3 Experimental Procedure and Task Instructions 3.4 Measures and Operationalization 4 Data Analysis and Results 4.1 Attention 4.2 Selection Performance, Cognition and Information Processing 5 Conclusion References Data-Driven Competitive Advantages in Digital Markets: An Overview of Data Value and Facilitating Factors Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics About IIoT Platforms 1 Introduction 2 Theoretical Background and Related Work 2.1 Digital Platforms and the Industrial Internet of Things 2.2 Platform Boundary Resources in the Internet of Things 3 Research Method 3.1 Twitter Analytics and Applied Methods 3.2 Case Selection 3.3 Data Collection and Preparation 4 Results 4.1 Descriptive Analysis 4.2 Content Analysis 5 Discussion 5.1 Descriptive Analysis 5.2 Bottom-Up Analysis 5.3 Top-Down Analysis 5.4 Limitations and Outlook References The Role of Complementors in Platform Ecosystems 1 Introduction 2 Design of the Literature Review 3 Empirical Results on Complementors in Platform Ecosystems 3.1 Conceptualization of Complementors in Platform Ecosystem Literature 3.2 Contribution of Complementors in Platform Ecosystem Literature 3.3 Relationship between Platform Owner and Complementor 4 Discussion 4.1 Heterogeneity of Complementors in Platform Ecosystems 4.2 Individual Evaluation of Complementors in Platform Ecosystems 4.3 Limitations 5 Conclusion References How to Design IIoT-Platforms Your Partners are Eager to Join: Learnings from an Emerging Ecosystem 1 Introduction 2 Theoretical Background 2.1 Digitization of Manufacturing and the Role of IIoT-Platforms 2.2 Building Successful Digital Platform Ecosystems 3 Research Method 3.1 Study Design 3.2 Data Collection and Analysis 3.3 Design Principle Generation 4 The Case of an Emerging IIoT-Platform: Requirements Towards the Platform Owner 4.1 Case Description 4.2 Requirements Towards the Platform Owner 5 Design Principles for IIoT-Platforms 5.1 Technical Cluster 5.2 Organizational Cluster 5.3 Services Cluster 5.4 Economical Cluster 6 Discussion 6.1 Conclusion and Implications 6.2 Limitations and Outlook References What Goes Around, Comes Around: The Effects of 360-degree Experiences on Peer-to-Peer Platform Behavior 1 Introduction 2 Theoretical Background and Related Work 3 Pilot Study 4 Expected Contribution and Future Work References Prominence-for-Data Schemes in Digital Platform Ecosystems: Economic Implications for Platform Bias and Consumer Data Collection 1 Introduction 2 Related Literature 3 Model 4 Findings References IT Strategy, Management and Transformation En Track Description Research Articles chSec3 Is More Always Better? Simulating Feedback Exchange in Organizations 1 Introduction 2 Conceptual Foundation 2.1 Definition of Feedback 2.2 Characteristics of a Feedback Message in the Context of Feedback Apps 3 Research Method 3.1 Simulation 3.2 Conceptual Model Development 3.3 Simulation Development and Validation 3.4 Simulation Experiments 4 Simulation Results 4.1 Individual Effects of Feedback Length 4.2 Individual Effects of Feedback Frequency 4.3 Joint Effects of Feedback Length and Feedback Frequency 5 Discussion 6 Conclusion and Limitations References Identifying and Overcoming Future Challenges in Leadership: The Role of IS in Facilitating Empowerment 1 Introduction 2 Theoretical Foundation 2.1 Concept of Leadership 2.2 Current Trends in Leadership and Leadership-Related Information Systems 2.3 Leadership from a Control Theory Perspective 3 Methodological Approach 3.1 Panel Selection 3.2 Data Collection and Analysis 3.3 Additional Data Collection via Follow-Up Interviews 4 Findings 4.1 Findings Regarding Leadership Challenges 4.2 Enhancing Findings with Results from Follow-Up Interviews 5 Discussion 6 Conclusion 6.1 Theoretical and Practical Contribution 6.2 Limitations and Outlook References IT Outside of the IT Department: Reviewing Lightweight IT in Times of Shadow IT and IT Consumerization 1 Introduction 2 Background 2.1 Lightweight IT 2.2 Related Concepts Already Established in IS 3 Method 4 Findings 4.1 General Application Areas and Industries 4.2 Governance Models 4.3 Drivers, Benefits, and Risks of Lightweight IT 4.4 Comparison to IT Consumerization and Shadow IT 5 Discussion, Outlook and Limitations References Obsolescence in IT Work: Causes, Consequences and Counter-Measures 1 Introduction 2 Theoretical Background 3 Method 4 Results 4.1 Causes of Obsolescence 4.2 Consequences of Obsolescence 4.3 Counter-Measures Against Obsolescence 5 Discussion 6 Conclusion References Bridging the Gap – An Analysis of Requirements for Performance Measurement Systems in Digital Innovation Units 1 Introduction 2 Related Work – Measuring Digital Innovation 3 Methodology 3.1 Literature Review 3.2 Multiple Case Study 4 Results 4.1 Requirements from Literature Review 4.2 Requirements from Literature Found in Cases 4.3 Requirements for PMS in DIUs 5 Discussion 6 Conclusion References Digital Business Strategy and Firm Performance: An Empirical Investigation 1 Introduction 2 Theoretical Foundations 3 Making Digital Business Strategy Tangible via Digital Business Model Patterns 4 Hypotheses Development 5 Methodology 6 Measures 6.1 Control Variables 6.2 Model Specifications 7 Regression Results 8 Discussion of Findings 8.1 The Value of Digital Business Strategy Types for is Research and Business Practice 8.2 Limitation and Future Research References Management of Digital Processes and Architectures En Track Description Research Articles The Status Quo of Process Mining in the Industrial Sector 1 Introduction 2 Theoretical Background 2.1 Types of Process Mining 2.2 Porter's Value Chain 2.3 Forms of Production 3 Method 4 Results 4.1 Applications in Operations 4.2 Application in Primary Activities Other than Operations 5 Discussion 5.1 Findings 5.2 Future Research 5.3 Limitations 6 Conclusion References Event-Driven Business Process Management Enhancing IoT – A Systematic Literature Review and Development of Research Agenda 1 Introduction 2 Theoretical Background and Related Work 2.1 Theoretical Foundation 2.2 Differentiation from Related Work 3 Research Methodology 4 Literature Analysis and Synthesis 4.1 Cluster 1: Fundamental EDBPM Architectures and Approaches 4.2 Cluster 2: CEP Engines and Advanced Rule Identification Methods 4.3 Cluster 3: Usability and Modeling Languages for CEP 4.4 Cluster 4: CEP with Predictive Capabilities 4.5 Cluster 5: Applications for IoT Technology Meeting EDBPM 5 Findings and Research Agenda 5.1 General Findings and Research Gaps 5.2 Research Agenda for IoT Meeting EDBPM 5.3 Establishing Mature EDA Frameworks and CEP Reference Models 5.4 Automating and Simplifying Rule Pattern Definition and Modeling Languages 5.5 Standardization of Interfaces and Data Formats 5.6 Developing CEP Systems with Increased Reactive and Predictive Capabilities 6 Conclusion References How Does Enterprise Architecture Support the Design and Realization of Data-Driven Business Models? An Empirical Study 1 Introduction 2 Background and Related Work 2.1 Big Data Analytics and Data-Driven Business Models 2.2 Enterprise Architecture 2.3 Related Work 3 Methodology 4 Results 4.1 Case Overview 4.2 Approaches for DDBM Design and Realization 4.3 Support Gap of Enterprise Architecture for Data-Driven Business Models 5 Conclusion and Future Research References BPM Capability Configuration in Times of Crises: How to Adapt Processes When the Virus Strikes? 1 Introduction 2 Background 2.1 Business Process Management 2.2 Covid-19 and Impact on Business Processes 3 (Planned) Research Approach 3.1 Qualitative Phase: Theory Building 3.2 Quantitative Phase: Theory testing 4 Preliminary Results of First Case Interview 5 Concluding Discussion References Supporting the Development and Implementation of a Digitalization Strategy in SMEs Through a Lightweight Architecture-based Method 1 Introduction 2 Research Approach 3 Results 4 Conclusion and Outlook References Author Index