Book Review: Stumbling on Wins

stumbling_on_winsDavid J. Berri and Martin B. Schmidt. Stumbling on Wins, Upper Saddle River, New Jersey, NJ: FT Press, 1st edition, 2010. 256 pp. ISBN-13: 978-0132357784

Read the review by Jahn K. Hakes of the U.S. Census Bureau, published in the Journal of Sports Economics June 2012 issue:

The central question of David Berri and Martin Schmidt’s most recent book, Stumbling On Wins, is how so many people paid so much to make good managerial choices can consistently and repeatedly make bad ones. Often these choices are bad not just in retrospect, but appear predictably ill informed even in a profession inundated by a veritable deluge of quantitative data. Indeed, amateur bystanders and academics have used publicly available data to create a vibrant cottage industry disseminating statistical analysis and (ex post) testable predictions. JSE__.inddMany of these modelers have developed ‘‘favorite toys’’ that consistently predict athlete performance better than the professionals. The book’s title, an allusion to Daniel Gilbert’s Stumbling on Happiness, is intended to point out how elusive the secret of building winning sports teams (like the secret of happiness) remains. While the vast amounts of interest and effort put into the respective searches are similar, the soundness of the implied analogy is crucial to the authors’ thesis, yet is largely ignored. What if ‘‘Wins’’ in sports aren’t always the same as ‘‘Happiness’’?

Read the full review here, and browse the current issue of JSE by clicking here.

0 0 vote
Article Rating

Business & Management INK

Business and Management INK puts the spotlight on research published in our more than 100 management and business journals. We feature an inside view of the research that’s being published in top-tier SAGE journals by the authors themselves.

Subscribe
Notify of
guest

This site uses Akismet to reduce spam. Learn how your comment data is processed.

0 Comments
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x