What Makes a Great Textbook? Lessons Learned from Joe Hair

Christian M. Ringle ()
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Christian M. Ringle: Hamburg University of Technology (TUHH)

A chapter in The Great Facilitator, 2019, pp 131-150 from Springer

Abstract: 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.

Keywords: Textbook; Bestseller; Joseph F. (Joe) Hair; Partial least squares (PLS-SEM); Structural equation modeling (SEM) (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-06031-2_17

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DOI: 10.1007/978-3-030-06031-2_17

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