Price: $34.99 - $13.95
(as of Dec 17, 2024 11:32:34 UTC – Details)
In today’s fast-paced world of competitive workplaces and turbulent economic conditions, each of us is searching for effective tools that can help us to manage, adapt, and strike out ahead of the pack.
By now, emotional intelligence (EQ) needs little introduction—it’s no secret that EQ is critical to your success. But knowing what EQ is and knowing how to use it to improve your life are two very different things.
Emotional Intelligence 2.0 delivers a step-by-step program for increasing your EQ via four, core EQ skills that enable you to achieve your fullest potential:
1) Self-Awareness
2) Self-Management
3) Social Awareness
4) Relationship Management
Emotional Intelligence 2.0 is a book with a single purpose—increasing your EQ. Here’s what people are saying about it:
“Emotional Intelligence 2.0 succinctly explains how to deal with emotions creatively and employ our intelligence in a beneficial way.”
—The Dalai Lama
“A fast read with compelling anecdotes and good context in which to understand and improve.”
—Newsweek
“Gives abundant, practical findings and insights with emphasis on how to develop EQ. Research shows convincingly that EQ is more important than IQ.”
–Stephen R. Covey, author, The 7 Habits of Highly Effective People
“This book can drastically change the way you think about success…read it twice.”
–Patrick Lencioni, author, The Five Dysfunctions of a Team.
From the Publisher
Publisher : TalentSmart; First Edition (June 16, 2009)
Language : English
Hardcover : 280 pages
ISBN-10 : 0974320625
ISBN-13 : 978-0974320625
Item Weight : 8.4 ounces
Dimensions : 0.72 x 5.08 x 7.76 inches
Customers say
Customers find the book easy to read and well-written. They appreciate the thoughtful advice and effective skills taught in the book. Many consider it a great value for the price, with the included personal evaluation being a valuable addition. However, some customers have reported issues with the access code not being provided or already used.
AI-generated from the text of customer reviews
