Author : Albert-László Y Barabási
Publisher : Hachette+ORM
ISBN 13 : 0316505471
Total Pages : 244 pages
Book Rating : 4.3/5 (165 download)
Book Synopsis The Formula by : Albert-László Y Barabási
Download or read book The Formula written by Albert-László Y Barabási and published by Hachette+ORM. This book was released on 2017-04-04 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the bestselling tradition of Malcom Gladwell, James Gleick, and Nate Silver, prominent professor László Barabási gives us a trailblazing book that promises to transform the very foundations of how our success-obsessed society approaches their professional careers, life pursuits and long-term goals. Too often, accomplishment does not equal success. We did the work but didn't get the promotion; we played hard but weren't recognized; we had the idea but didn't get the credit. We convince ourselves that talent combined with a strong work ethic is the key to getting ahead, but also realize that combination often fails to yield results, without any deeper understanding as to why. Recognizing this striking disconnect, the author, along with a team of renowned researchers and some of the most advanced data-crunching systems on the planet, dedicated themselves to one goal: uncovering that ever-elusive link between performance and success. Now, based on years of academic research, The Formula finally unveils the groundbreaking discoveries of their pioneering study, not only highlighting the scientific and mathematic principles that underpin success, but also revolutionizing our understanding of: Why performance is necessary but not adequate Why "Experts" are often wrong How to assemble a creative team primed for success How to most effectively engage our networks "This is not just an important but an imperative project: to approach the problem of randomness and success using the state of the art scientific arsenal we have. Barabasi is the person."-Nassim Nicholas Taleb, author of the New York Times bestselling The Black Swan and Distinguished Professor of Risk Engineering at NYU