R-directed Thinking

Topics: Human brain, Lateralization of brain function, Brain Pages: 4 (731 words) Published: April 18, 2014
R-directed Thinking
Most of us desire to become a lawyer, an accountant or a computer programmer because they are well paid and decent. But, this thought may be outdated. Daniel Pink in his book ‘ A Whole New Mind’ put forward that the future belongs to a very different kind of person with a very different kind of mind. A new world in which “right brain” qualities-inventiveness, empathy, meaning-predominate will substitute for the era of “left brain” dominance, and the Information Age engendered. In this book, the author first starts to describe how our brains work from a high-level point of view. The human brain is divided into two hemispheres, a left and a right part. The author explains the differences between these two parts of our brains, stating that left-brain (L-directed) thinking implies more logical, linear reasoning while right-brain (R-directed) thinking is more holistic and artistic. The message that he is trying to bring across is that while society highly values L-directed thinking, R-directed thinking is getting more and more important in the world of tomorrow. Daniel divides L-directed thinking into three types: abundance, Asia and automation. Abundance has satisfied, even oversatisfied, the material needs of millions. They pursue the multifunctional goods. However, for business, it’s no longer enough to create a product that’s reasonably priced and adequately functional. Abundance have to pay more attention to beautiful, unique and meaningful to satisfied customers’ need.

Asia means master abilities that can be shipped. For example, information technology industry is moving overseas. According to Forrester Research, “at least 3.3 million white-collar jobs and $136 billion in wages will shift from the U.S. to lowcost countries like India, China and Russia” by 2015.

And automation means deal with things by machine. L-directed professionals require developing aptitudes that computers cannot do better, faster and cheaper. Machines can do some...
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