Read Online Non-Obvious 2019: How To Predict Trends and Win The Future MOBI
NOTE - There is a newer version of this book available!Get the #1 WSJ Bestselling LATEST Edition of this book: Non-Obvious Megatrends (released in January 2020). This is part of the Non-Obvious Trend Series, a decade long project to share the most fascinating trends shaping our world. Every year there was an annual edition of this book and the newest edition (Non-Obvious Megatrends) is a #1 Wall Street Journal Bestseller and includes an appendix featuring ALL the trends from this edition of the book as well as new updated insights. How are a men’s grooming brand and frustrated "stuck-at-work" dads leading a revolution in masculinity post #MeToo?What can the decline of a global lingerie brand and corporate hackathons teach us about how fear can stifle innovation?How does hiring "neuro-diverse" workers and creating empathetic shampoo bottles signal a dramatic shift toward compassion in the workplace?For the past 9 years, marketing expert and Georgetown University Professor Rohit Bhargava has curated his best-selling list of non-obvious trends by asking the questions that most trend predictors miss.In this all-new ninth edition, discover what more than a million readers already have: how to use the power of non-obvious thinking to grow your business and make a bigger impact in the world.In total, the Non-Obvious 2019 edition features 15 all-new trends across 5 categories including Culture; Consumer Behavior, Marketing; Social Media, Media & Education, Technology; Design plus Economics; Entrepreneurship. The book also features a detailed section with a review and rating for more than 115 previously predicted trends, with longevity ratings for each.As with the original version, this new edition of Non-Obvious also delves into the curation process the author has used for years to build his Trend Reports and takes readers behind the scenes of trend curation (much to the delight of past readers who have been asking about this for years), and show them the methodology they can use to predict the future for themselves.
