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Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems

Book Description

Philosophical paradigms, theoretical frameworks, and methodologies make up the answering and problem solving systems that define current research approaches. While there are multiple research method books, the subject lacks an update and integrated source of reference for graduate courses. Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems aims to advance scientific knowledge on research approaches used in systems engineering, software engineering, and information systems and to update and integrate disperse and valuable knowledge on research approaches. This aims to be a collection of knowledge for PhD students, research-oriented faculty, and instructors of graduate courses.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. List of Reviewers
  5. Preface
  6. Section 1: Foundations of Research Methods and Paradigms
    1. Chapter 1: Philosophical Framing and Its Impact on Research
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. UNDERSTANDING THE IMPACTS OF PHILOSOPHICAL FRAMING ON RESEARCH
      5. CONCLUSION
    2. Chapter 2: Rigor and Relevance in Information Systems Research
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. KEY THEMES AND CORE ISSUES OF IS RELEVANCE
      5. MODELS TO GUIDE IS RESEARCH FOR IMPROVING RIGOR AND RELEVANCE
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    3. Chapter 3: Postmodernism, Interpretivism, and Formal Ontologies
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND ON POSTMODERNISM AND INTERPRETIVISM
      4. ONTOLOGIES
      5. IMPLICATIONS AND FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    4. Chapter 4: Critical Realism and IS Research
      1. ABSTRACT
      2. Introduction
      3. Background
      4. The Attraction of Critical Realism in IS/IT research
      5. Critical realist foundations
      6. Critical realism and “method”?
      7. Conclusion
    5. Chapter 5: Practice vs. Possession
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE DUAL NATURE OF KNOWLEDGE AS META-INFORMATION AND PURPOSEFUL PRACTICE
      4. 3. TACIT KNOWLEDGE AND COLLECTIVE PRACTICES
      5. 4. THE PRAGMATIST VIEW OF COGNITION
      6. 5. ORGANIZATIONS ARE PARTIALLY SELF-ORGANIZING AND COGNITIVE SYSTEMS
      7. 6. IMPLICATIONS FOR KNOWLEDGE MANAGEMENT SYSTEMS
      8. 7. CONCLUSION
    6. Chapter 6: Software Engineering Research
      1. ABSTRACT
      2. INTRODUCTION
      3. HISTORICAL BACKGROUND
      4. SOME PHILOSOPHICAL ISSUES
      5. THE SCIENTIFIC METHOD IN SOFTWARE ENGINEERING
      6. CONCLUSION
    7. Chapter 7: Process Theory
      1. ABSTRACT
      2. INTRODUCTION
      3. DEFINING PROCESS THEORIES
      4. COMPONENTS OF PROCESS THEORY: A TAXONOMY
      5. PUTTING IT ALL TOGETHER
      6. EVALUATING PROCESS THEORIES
      7. CONCLUSION
    8. Chapter 8: On IT and SwE Research Methodologies and Paradigms
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND ON RESEARCH METHODOLOGIES AND PARADIGMS IN IT AND SwE
      4. 3. A LANDSCAPE OF RESEARCH METHODOLOGIES AND PARADIGMS USING THE SYSTEMIC RESEARCH APPROACH
      5. 4. DISCUSSION AND FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
  7. Section 2: Contemporaneous Research Methods and Techniques
    1. Chapter 9: Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS
      1. ABSTRACT
      2. INTRODUCTION
      3. MODEL DEVELOPMENT AND SPECIFICATION
      4. SEM MODEL AS THEORY
      5. DEPENDENT VARIABLES IN CFA
      6. REPLICATION OF RESULTS
      7. REPORTING RESULTS AND ANALYSIS
      8. SUCCESSFUL EXECUTION ACHIEVED
      9. DATA SAMPLING AND POWER
      10. REPORTING FIT FOR ALTERNATIVE MODELS
      11. REPORTING FIT INDICES
      12. VALIDITY BEYOND FIT INDICES: FACTOR LOADINGS, PARAMETERS, AND R-SQUARED
      13. CUTOFF VALUES FOR FIT
      14. RELIABILITY INDICES
      15. GRAPHICAL MODEL REPRESENTATION AND RESULTS
      16. GREEK NOTATION
      17. CONCLUSION
    2. Chapter 10: Variance-Based Structural Equation Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. STRUCTURAL EQUATION MODELING IN INFORMATION SYSTEMS RESEARCH
      4. VARIANCE-BASED SEM (PLS): BASIC CHARACTERISTICS
      5. VARIANCE (PLS) OR COVARIANCE-BASED SEM?
      6. EVALUATION OF VARIANCE-BASED SEM (PLS) MODELS
      7. ILLUSTRATIVE EXAMPLES OF PLS
      8. CONCLUSION
    3. Chapter 11: Models for Interpretive Information Systems Research, Part 1
      1. ABSTRACT
      2. INTRODUCTION
      3. INTERPRETIVE INFORMATION SYSTEMS RESEARCH
      4. ACTION RESEARCH
      5. GROUNDED THEORY
      6. CONCLUSION
      7. NOTE
    4. Chapter 12: Models for Interpretive Information Systems Research, Part 2
      1. ABSTRACT
      2. INTRODUCTION AND BACKGROUND
      3. DEVELOPMENT RESEARCH
      4. DESIGN-SCIENCE RESEARCH IN INFORMATION SYSTEMS
      5. DESIGN-BASED RESEARCH IN EDUCATIONAL TECHNOLOGY
      6. CONCLUSION
      7. NOTE
    5. Chapter 13: Using Grounded Theory Coding Mechanisms to Analyze Case Study and Focus Group Data in the Context of Software Process Research
      1. ABSTRACT
      2. INTRODUCTION
      3. CASE STUDY
      4. FOCUS GROUPS
      5. DATA ANALYSIS IN CASE STUDY AND FOCUS GROUPS
      6. GROUNDED THEORY
      7. GROUNDED THEORY CODING IN CASE STUDY AND FOCUS GROUPS ANALYSIS
      8. EXAMPLE APPLICATION OF APPROACH
      9. DISCUSSION
    6. Chapter 14: A Practical Approach to Theory Structuring and Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. 2. BACKGROUND
      4. 3. PROPOSED NEW RESEARCH METHODOLOGY AND METHOD: IT/IS RESEARCH AND PROBLEM SOLVING IN A CHANGING LANDSCAPE
      5. 4. PROPOSED RESEARCH METHOD FOR DATA GENERATION AND ANALYSIS
      6. 5. FUTURE RESEARCH DIRECTIONS
      7. 6. CONCLUSION
    7. Chapter 15: Integrating Conceptual and Empirical Approaches for Software Engineering Research
      1. ABSTRACT
      2. INTRODUCTION
      3. PART I. THEORETICAL CONTENT
      4. PART II. CONTENT: ILLUSTRATIVE RESEARCH EXAMPLE
      5. DISCUSSION
  8. Section 3: Innovative Research Methods and Techniques
    1. Chapter 16: Visualization and Analysis of Frames in Collections of Messages
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE FRAMING CONCEPT
      4. 3. THE DYNAMICS OF FRAMES
      5. 4. USING SEMANTIC MAPS FOR THE STUDY OF FRAMES
      6. 5. LIMITATIONS
      7. 6. FUTURE RESEARCH DIRECTIONS
      8. 7. CONCLUSION
    2. Chapter 17: System Approach to MIS and DSS and its Modeling within SD
      1. ABSTRACT
      2. INTRODUCTION
      3. SYSTEM DYNAMICS FUNDAMENTALS
      4. APPLICATIONS OF SD
      5. CONCLUSION
      6. ACKNOWLEDGMENT
    3. Chapter 18: Project Contexts and the Possibilities for Mixing Software Development and Systems Approaches
      1. ABSTRACT
      2. INTRODUCTION
      3. THREE METHODOLOGIES RELATED TO SOFTWARE AND SYSTEM DEVELOPMENT
      4. THREE FRAMEWORKS FOR IDENTIFYING CONTEXTS OF SYSTEMS AND SOFTWARE DEVELOPMENT
      5. MAPPING OF SOFTWARE PROJECT CONTEXTS IN THE SYSTEM OF SYSTEMS METHODOLOGIES
      6. EVALUATION OF THE SUITABILITY OF SSM, WSM AND AGILE METHODS FOR SPECIFIC PROJECT SITUATIONS
      7. CONCLUSION
    4. Chapter 19: Selecting Strategies and Approaches in Systems Engineering
      1. ABSTRACT
      2. INTRODUCTION
      3. THE METHOD
      4. CASE STUDY 1: IMPLICATIONS OF PRESSURE FOR SHORTENING THE TIME TO MARKET (TTM) IN DEFENSE PROJECTS
      5. CASE STUDY 2: CHOOSING THE APPROPRIATE INTEGRATION APPROACH IN LARGE-SCALE SYSTEMS DEVELOPMENT PROJECTS
      6. CONCLUSION
    5. Chapter 20: Engineering Design as Research
      1. ABSTRACT
      2. INTRODUCTION
      3. KNOWLEDGE
      4. RESEARCH METHODS
      5. ENGINEERING JOURNALS IN THE 1950S
      6. 1950’S EXAMPLES OF DESIGN AS RESEARCH
      7. DESIGN AS RESEARCH METHOD
      8. KNOWLEDGE DEVELOPED THROUGH DESIGN
      9. CONCLUSION
    6. Chapter 21: Validation and Design Science Research in Information Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EVALUATING ARTIFACTS AND VALIDATING THEORY IN DESIGN SCIENCE RESEARCH
      5. LIMITATIONS OF THIS CHAPTER
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  9. Compilation of References
  10. About the Contributors
  11. Index