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What Makes a Great Textbook? Lessons Learned from Joe Hair

In: The Great Facilitator

Author

Listed:
  • Christian M. Ringle

    (Hamburg University of Technology (TUHH)
    University of Waikato)

Abstract

What does it take to obtain 200,000 citations or more in the wider field of business administration? A Nobel Prize (or two) wouldn’t be amiss. Lacking such kudos, you need to be Joseph F. Hair, the author of the book on Multivariate Data Analysis, which has garnered 100,000+ citations since its publication in 1979 (Google Scholar, July 2018). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) is, despite its unpromising title, Joe’s second best-cited book, focusing on a specific multivariate analysis method. I have the pleasure and honor of being a coauthor of this book, and, given its success, a many potential authors of best-selling textbooks are no doubt keen on knowing what insights I gained while working with Joe. I can’t promise them an instant bestseller, but I can summarize the key lessons learned from Joe about what makes a great textbook.

Suggested Citation

  • Christian M. Ringle, 2019. "What Makes a Great Textbook? Lessons Learned from Joe Hair," Springer Books, in: Barry J. Babin & Marko Sarstedt (ed.), The Great Facilitator, pages 131-150, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-06031-2_17
    DOI: 10.1007/978-3-030-06031-2_17
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    Cited by:

    1. Sofia Gomes & Micaela Pinho & João M. Lopes, 2024. "From environmental sustainability practices to green innovations: Evidence from small and medium‐sized manufacturing companies," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(3), pages 1677-1687, May.

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