Bad to Good
eBook - PDF

Bad to Good

Achieving High Quality and Impact in Your Research

  1. 320 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bad to Good

Achieving High Quality and Impact in Your Research

About this book

For decades, scholars have bemoaned the low relevancy and impact of most research in the leading journals in business, management, and marketing. The majority of the research that gets published, perhaps 70% of it, hardly has any measurable scholarly impact in terms of citations. Rather than low relevancy, 'Bad to Good' posits that the deeper issue is the pervasive use of bad research practices appearing in most articles in almost all ranked journals in the sub-disciplines of business. With the objective of reducing the high volume of bad practices in research in finance, management and marketing, the book offers tools for improving theory construction and empirical testing of theory especially by early-to-mid scholars. 'Bad to Good' covers 24 common bad practices, explaining why they are bad and how to replace them with good practices. Arch Woodside is a leading voice on how to improve business research. He served as the Editor-in-Chief of the 'Journal of Business Research' (JBR) for forty years. In 2016 the JBR ranked first among the top-twenty journals in marketing in the Google.com/scholar h-5 index (an impact metric) and seventh among the strategic management sub-discipline.

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Yes, you can access Bad to Good by Arch G. Woodside in PDF and/or ePUB format, as well as other popular books in Education & Research in Education. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Bad to Good: Achieving High Quality and Impact in Your Research
  3. Copyright Page
  4. Contents
  5. List of Contributors
  6. Dedication
  7. Preface
  8. Chapter 1 Moving away from Bad Practices in Research toward Constructing Useful Theory and Doing Useful Research
  9. Chapter 2 Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities
  10. Chapter 3 Moving beyond Multiple Regression Analysis and Symmetric Tests to Algorithms and Asymmetric Tests⤀
  11. Chapter 4 Case-Based Modeling of Business–Business Relationships
  12. Chapter 5 Performing Triple Sensemaking in Field Experiments
  13. Chapter 6 Complexity Theory, Configural Analysis, and Deepening the Service Dominant Logic
  14. Chapter 7 Complexity Theory and Human Resources Management: Transcending Variable and Case-Based Perspectives of Service Employees’ (Un) happiness and Work Performance
  15. Index