2nd Edition

Design Science Research Methods and Patterns Innovating Information and Communication Technology, 2nd Edition

    415 Pages 27 B/W Illustrations
    by CRC Press

    Presenting innovative research methods, this second edition of a bestseller describes a simple and practical methodology for conducting cutting-edge design science research (DSR). It provides comprehensive guidance on how to conduct such research and supplies in-depth treatment of design science theory and the different types of theory that can be generated in design science research.

    Making novel use of the concept of patterns, it presents 84 research patterns for conducting effective DSR. It emphasizes design science theory throughout and is filled with practical examples of using patterns to conduct information and communication technology research (ICT).

    With a focus on reusing research activities to increase the effectiveness and efficiency of conducting design science research, the book relies on familiar patterns to provide the fundamentals of various research philosophies and techniques required to innovate ICT. It describes design science research in relation to other information systems research paradigms such as positivist and interpretivist research. New to this edition are relevant design science research patterns adapted from TRIZ, the widely regarded European engineering design and creativity method.

    This edition also provides greatly expanded treatment of theory building in design science research (DSR), a topic of rapidly growing interest in addition to a new chapter presenting a framework for theory development in DSR. The book provides an expanded examination of patterns in DSR presented using a new pattern classification mechanism to group patterns with like functionality.

    This book will be of value to those interested in learning to conduct design science research, particularly in the ICT disciplines the book focuses on.

    Introduction
    References

    DESIGN SCIENCE RESEARCH METHODOLOGY

    Introduction to Design Science Research in Information and Communication Technology
    Overview of Design Science Research
    DSR Methodology
    Outputs of DSR
    Theory in DSR
    General Guidance on Expected Outputs from DSR
    Example of Community-Determined Outputs
    Philosophical Grounding of DSR
    An Example of ICT DSR
    References
    Appendix: A Design Science Research Bibliography

    Aggregate Design Science Research Cycle as a Perspective on the Evolution of Computing Communities of Interest
    Introduction
    Design Science Research Cycle
    Aggregate DSRC
    Exercising the ADSRC Framework: Concept Mapping 25 Years of Database Research
    Using the ADSRC to Explain Coordination between Diverse Groups
    Conclusion
    References

    A Framework for Theory Development in Design Science Research: Multiple Perspectives
    Introduction
    Design Science Research in IS (DSR-IS) Defined
    Knowledge Representation Perspective on the Framework
    Extending Knowledge Capture in DSR-IS: Alternative Approaches
    Structure of the Remainder of the Chapter
    Mid-Range Theory in DSR-IS
    Typological Perspective of the Framework
    Epistemological Perspective of the Framework
    Theory Construction in DSR-IS: Two Published Examples
    Discussion and Conclusions
    References
    Appendix: 
    Kernel Theory and DREPT Propositions for a DSR Project
    Kaufmann’s Diagrammatic Representation of the Change in Modes of Mental Representation with Problem Novelty and Kasper’s
    Interpretation of Kaufmann’s Diagram in Terms of DSS Attributes
    Theory Building Techniques in Design Science Research

    On Theory Development in Design Science Research: Anatomy of a Research Project
    Introduction
    Theory in DSR-IS: What Does It Mean?
    Conclusions
    References
    Appendix:
    A Process Change Scenario Illustrating "Soft Context Information" (A True Story)
    System Quality Representation
    Sample Process Graph "Slices" and Associated Text
    Description and Micro-rationale as used in our Evaluation Prototype

    PATTERNS

    Using Patterns to Illuminate Research Practice
    Introduction
    Patterns, Then, and Now
    Using Patterns: The Design Science Research Cycle Revisited
    Mining of Design Science Research Patterns
    Problem-Solving Patterns in Engineering: The TRIZ Approach
    Pattern Structure
    Pattern Usage in the Development of the Smart Object Paradigm Practice, Practice, Practice
    References
    Appendix: The TRIZ Inventive Principles

    Creativity Patterns
    Enhancement Type Patterns
    Utilization Type Patterns
    References

    Problem Selection and Development Patterns
    Preliminaries Type Patterns
    Visionary Type Pattern
    Extrapolation Type Pattern
    Analysis Type Patterns
    Generalization Type Pattern
    Exploration Type Pattern
    Segmentation Type Pattern
    Combination Type Pattern
    References

    Literature Search Patterns
    Preliminaries Type Patterns
    Analysis Type Pattern
    Modeling Type Pattern
    References

    Suggestion and Development Patterns
    Theory Type Patterns
    Expanding Design Theories (DTs) with Design and Measurement Models
    Hermeneutical/Inductive (H/I) Approach
    Hypothetical/Deductive (H/D) Approach
    Iterative Prototyping
    Preliminaries Type Patterns
    Visionary Type Patterns
    Extrapolation Type Pattern
    Analysis Type Patterns
    Exploration Type Patterns
    Modeling Type Patterns
    Generalization Type Patterns
    Segmentation Type Patterns
    Combination Type Patterns
    Development Type Patterns
    Collaboration Type Patterns
    References

    Evaluation and Validation Patterns
    Benchmarking
    Demonstration
    Experimentation
    Logical Reasoning
    Mathematical Proofs
    Simulation
    Using Metrics
    References

    Publishing Patterns
    MAligning with a Paradigm
    Conference and Journal Submissions
    Novelty and Significance
    MStyle Exemplars
    Use of Examples
    Writing Conference Papers
    Writing Journal Papers
    References

    KNOWLEDGE CONTRIBUTION & RESEAR CH PATTERNS USAGE ANALYSIS

    Knowledge Contribution and Patterns Usage Analysis of Design Science Research Exemplars
    Introduction
    Smart Objects: A Data/Knowledge Paradigm for the Modeling and
    Design of Operations Support Systems
    CyberGate: A Design Framework and System for Text Analysis of Computer‑Mediated Communication
    World Wide Web: Proposal for Hypertext Project.
    Entity-Relationship Model—Toward a Unified View of Data
    Case-Based Database Design Support System
    Relational Model of Data for Large Shared Data Banks
    Automating the Discovery of AS-IS Business Process Models: Probabilistic and Algorithmic Approaches
    Working Set Model for Program Behavior
    Communicating Sequential Processes
    Multilevel Model for Measuring Fit between a Firm’s Competitive Strategies and ISs Capabilities
    Improving Analysis Pattern Reuse in Conceptual Design: Augmenting
    Automated Processes with Supervised Learning
    Optimum Multiway Search Trees
    Conclusion
    References

    Biography

    Vijay K. Vaishnavi is professor emeritus of computer information systems at Georgia State University. He holds a PhD from Indian Institute of Technology, Kanpur and has conducted postdoctoral work at McMaster University, Canada. His research covers several areas including design science research methods, information integration and web mining, software development, and data structures/algorithms.

    He has authored 150+ publications that include six books in these and related areas. His research has been funded by the National Science Foundation (NSF) as well as by the industry. He has served as consultant to various organizations such as IBM, AT&T, and Bell Northern Research. In 2007, he was awarded a Lifetime Achievement Award in Design Sciences (DESRIST 2007) for "making significant fundamental contributions in design science research through research, leadership, and mentorship."

    Bill Kuechler is a professor of information systems and former chair of the information systems discipline at the University of Nevada, Reno. He holds a BS in electrical engineering from Drexel University and a Ph.D. in computer information systems from Georgia State University. Bill’s academic career follows a successful 22-year industry career in information systems development and consulting. He has held positions as software engineer, software engineering manager, software systems product manager, consultant, and director of IT for a regional firm. His work experience brings insight to his teaching of both IS management and technical material and brings a wealth of practical background to his research. Bill’s two primary research themes are the cognitive bases of IS use, development and education, and design science research in IS. Dr. Kuechler is a member of AIS and ACM.

    This new edition is not only a refreshed version of the previous edition, but has also been expanded to help bring us onto the current frontiers of design science research. As researchers, the authors are ever mindful of their goals toward not just science, but also improvement. True to their noble direction, they have put this thought into this second edition. The first edition was groundbreaking; nevertheless they have still managed to make this second edition a grand improvement.
    —Richard Baskerville, Board of Advisors Professor, Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University