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Enhancing Qualitative and Mixed Methods Research with Technology

Book Description

In light of the expensive nature of quantitative research, such as experiments, researchers must seek other methods of understanding the world around them. As such, new qualitative methods are gaining ground in the modern research community. Enhancing Qualitative and Mixed Methods Research with Technology explores the integration of new digital tools into the research process. Including current information on data visualization, research design, information capture, as well as social media analysis, this publication serves as an ideal reference source for academicians, scientists, information specialists, business managers, and upper-level students involved in interdisciplinary research.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Dedication
  6. Editorial Advisory Board
  7. Foreword
    1. A TAKE ON INFORMATICS AND KNOWING
    2. DATA SCIENCE OF, BY, AND FOR HUMANS
    3. THE NEW DATA ANALYTICS: RELEVANCE AND SCOPE
    4. THE FUTURE OF QUALITATIVE AND MIXED METHODS: AN INFORMATICS PERSPECTIVE
  8. Foreword
    1. A TAKE ON MIXED METHODS
    2. REFERENCES
  9. Foreword
    1. A TAKE ON BROADENING RANGES OF RESEARCH POTENTIALS
  10. Preface
    1. ENHANCING QUALITATIVE AND MIXED METHODS RESEARCH WITH TECHNOLOGY
  11. Acknowledgment
  12. Section 1: Setting the Parameters for Technology Use: Qualitative and Mixed Methods Theories and Models
    1. Chapter 1: Coding is Not a Dirty Word
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: SITUATING THEORETICAL APPROACHES
      4. SITUATING SELF, METHODOLOGICAL UNDERSTANDINGS, AND NVIVO
      5. THEORY-DRIVEN DATA MANAGEMENT AND ANALYSIS IN NVIVO
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 2: Online Focus Groups
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PRACTICAL APPLICATIONS OF ONLINE FOCUS GROUPS IN EMPIRICAL RESEARCH
      5. CONCLUSION
      6. REFERENCES
      7. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Research E-Journaling to Enhance Qualitative and Mixed Methods Research
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. UNGUIDED AND GUIDED ELECTRONIC RESEARCH JOURNAL STRUCTURES
      5. POTENTIAL CONCERNS AND LIABILITIES
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
  13. Section 2: All-Environments Information Collection
    1. Chapter 4: Technologies for Conducting an Online Ethnography of Communication
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. A NOTE ON RESEARCH ETHICS FOR INTERNET STUDIES
      5. TECHNOLOGIES FOR DATA COLLECTION
      6. TECHNOLOGIES FOR DATA PROCESSING AND MANAGEMENT
      7. SOFTWARE FOR QUALITATIVE ANALYSIS: TAMS ANALYZER
      8. TECHNOLOGIES FOR REPORTING
      9. REFLECTIONS AND ADVICE
      10. CONCLUSION
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    2. Chapter 5: Capturing Definitions for a Sustainable Distance Education Ecosystem through an Online Delphi Study
      1. ABSTRACT
      2. INTRODUCTION
      3. THE DELPHI STUDY AND THE MIXED RESEARCH MODEL
      4. CONCLUSION
      5. REFERENCES
      6. KEY TERMS AND DEFINITIONS
    3. Chapter 6: Video-Conferencing Interviews in Qualitative Research
      1. ABSTRACT
      2. INTRODUCTION AND PURPOSE
      3. OVERVIEW OF CONCEPTUAL FRAMEWORKS
      4. ADVANTAGES OF VIDEO-CONFERENCE INTERVIEWS
      5. DISADVANTAGES OF VIDEO-CONFERENCE INTERVIEWS
      6. TECHNIQUES FOR VIDEO-CONFERENCING AND LOGISTICS
      7. ETHICAL CONSIDERATIONS
      8. LESSONS LEARNED
      9. FUTURE TRENDS
      10. CONCLUSION
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    4. Chapter 7: Data Integration Technology for Industrial and Environmental Research via Air Quality Monitoring Network
      1. ABSTRACT
      2. BACKGROUND
      3. MOTIVATION
      4. DATA SOURCE
      5. METHODOLOGY AND APPLICATION
      6. CASE STUDY
      7. CONCLUSION
      8. FUTURE RESEARCH DIRECTIONS
      9. REFERENCES
      10. ADDITIONAL READING
  14. Section 3: Technology-Enhanced Data Management, Data Processing, Data Visualization, and Human-Machine Analysis
    1. Chapter 8: Leveraging Two Computer-Assisted Qualitative Data Analysis Software Packages to Support Discourse Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CAQDAS: A POSSIBLE SOLUTION
      5. OVERVIEW OF ATLAS.ti AND TRANSANA
      6. RESEARCH STUDY EXAMPLE
      7. FUTURE TRENDS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. APPENDIX
    2. Chapter 9: Practical Wisdom of Tool and Task
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: ADHERING TO METHODOLOGICAL PRINCIPLES
      4. MEETING THE DEMANDS OF THE METHOD
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. KEY TERMS AND DEFINITIONS
    3. Chapter 10: Software-Assisted Transcribing for Qualitative Interviews
      1. ABSTRACT
      2. THE SIGNIFICANCE OF TRANSCRIBING
      3. TRANSCRIBING QUALITATIVE INTERVIEWS
      4. HOW TO TRANSCRIBE
      5. THE FUTURE: VOICE/SPEECH RECOGNITION SOFTWARE
      6. CONCLUSION
      7. REFERENCES
      8. APPENDIX
    4. Chapter 11: Exploiting Enriched Knowledge of Web Network Structures
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. EXTRACTED HTTP NETWORKS
      5. MACRO LEVELS
      6. MICRO LEVELS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
  15. Section 4: Data Acquisition and Extraction from Social Media Platforms
    1. Chapter 12: Trendy Avatars and Their Hair
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHODS WITHIN AND OUTSIDE OF VMTV
      5. FINDINGS AMONG USERS AND VMTV CULTURE
      6. CULTURAL MEANINGS AND METHODOLOGICAL ISSUES
      7. FUTURE TRENDS AND CONCLUSION
      8. REFERENCES
    2. Chapter 13: Tweet Portraiture
      1. ABSTRACT
      2. INTRODUCTION
      3. A REVIEW OF THE LITERATURE
      4. GIST ANALYSIS THROUGH MICROBLOGGING DATA EXTRACTIONS
      5. DISCUSSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. APPENDIX
    3. Chapter 14: Sampling Public Sentiment Using Related Tags (and User-Created Content) Networks from Social Media Platforms
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. APPLICATIONS OF RELATED TAGS ANALYSIS FOR PUBLIC SENTIMENT EXTRACTION AND UNDERSTANDING
      5. THEME-BASED QUERIES
      6. WORD DISAMBIGUATION
      7. RELATED TAGS COMPARISONS
      8. STARTING WITH GENERICS (TO INFER CULTURE OR SENSEMAKING)
      9. FREIGHTED OR CONTROVERSIAL TERMS
      10. ILLUMINATING GEOGRAPHICAL LOCATIONS WITH TAGS
      11. GEODATA EXTRACTIONS
      12. PURSUING RELATED LEADS
      13. FUTURE RESEARCH DIRECTIONS
      14. CONCLUSION
      15. REFERENCES
      16. ADDITIONAL READING
      17. KEY TERMS AND DEFINITIONS
  16. Section 5: Cases of Technology-Enhanced Qualitative and Mixed Methods Research (and the Converse)
    1. Chapter 15: The Theory and Application of Process Research to the Study of IT Strategy-Making
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. PROCESS RESEARCH
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 16: Mixed Methods Research Online
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: METHODS IN BUSINESS ETHICS RESEARCH
      4. DATA COLLECTION THROUGH ONLINE SURVEYS
      5. MAIN FOCUS OF THE CHAPTER
      6. DISCUSSION
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. ADDITIONAL READING
    3. Chapter 17: Applying Grounded Theory to a Qualitative Study of CIO Interactions with External Peer Networks
      1. ABSTRACT
      2. BACKGROUND TO STUDY
      3. FOCUS OF THE INVESTIGATION
      4. CHOOSING AN INTERPRETIVE RESEARCH PARADIGM
      5. CHOOSING GROUNDED THEORY
      6. METHODOLOGY OF GROUNDED THEORY
      7. PRACTICAL APPLICATION OF GROUNDED THEORY
      8. CHOOSING TECHNOLOGY TOOLS TO SUPPORT GT RESEARCH
      9. ISSUES RELATED TO GROUNDED THEORY IN IS RESEARCH
      10. FUTURE DIRECTIONS
      11. CONCLUSION
      12. REFERENCES
      13. KEY TERMS AND DEFINITIONS
      14. ENDNOTES
    4. Chapter 18: Integrating Process Inquiry and the Case Method in the Study of Information Systems Failure
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE NATURE OF IS FAILURE
      4. 3. THE NATURE OF PROCESS INQUIRY
      5. 4. THE VALUE OF INTEGRATING PROCESS INQUIRY WITH THE CASE METHODOLOGY
      6. 5. INTEGRATING PROCESS INQUIRY AND THE CASE STUDY METHOD IN THE STUDY OF IS FAILURE
      7. 6. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    5. Chapter 19: Discount Focus Subgroup Method
      1. ABSTRACT
      2. INTRODUCTION AND MOTIVATION
      3. FOCUS GROUP METHOD IN IS RESEARCH
      4. HOW TO APPLY THE DFSG METHOD
      5. DFSG QUALITY EVALUATION CRITERIA
      6. DISCUSSION
      7. LIMITATIONS OF THE DFSG METHOD
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. APPENDIX: SAMPLE OF NOTES WRITTEN BY THE PARTICIPANTS
  17. Section 6: Technologies for Presenting the Results of Qualitative and Mixed Methods Research
    1. Chapter 20: Querying Google Books Ngram Viewer's Big Data Text Corpuses to Complement Research
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. A GOOGLE BOOKS NGRAM VIEWER SAMPLER
      5. SOME ADVANCED GOOGLE BOOKS NGRAM VIEWER QUERYING
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 21: Expressing Data, Space, and Time with Tableau Publicâ„¢
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW OF THE LITERATURE
      4. TABLEAU PUBLIC: THE TOOL
      5. CREATING DATA VISUALIZATIONS WITH TABLEAU PUBLIC
      6. SOME REAL-WORLD EXAMPLES
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
  18. Compilation of References
  19. About the Contributors