Innovation Expert Stephen Shapiro – Not All Brains Are Smart
To see how to build an efficient and effective organizational system, examine the most complex system in the body – the human brain. Neuroscience now provides us with more information about the brain than ever before. By better understanding how intelligent brains operate, we can learn how to create more intelligent organizations.
Leaner Isn’t Necessarily Better – Innovation Expert Stephen Shapiro
In their quest to hit quarterly earnings goals, companies often focus myopically on the short-term, drastically cutting headcount and overhead to stay afloat. Unfortunately, this can leave an organization malnourished, jeopardizing its long-term health. Companies should focus instead on the type of “fat” they are cutting.
Expertise is the Enemy of Innovation – Innovation Leader Stephen Shapiro
Companies struggling to innovate may be suffering from an inadequate range of knowledge and perspectives. Just like individuals, companies have personalities. Unfortunately, a company’s personality might be repelling the potential and existing employee-base that can lend a divergent, and often critical, point of view to business. This is killing innovation.
Innovation Expert Stephen Shapiro – Foster High Performance Teamwork – Ditch the Golden Rule and Play Some Poker
The Golden Rule has often been touted as a guideline for human rights and a code of conduct for coexisting harmoniously. The surprising reality though is that this veryr rule may in fact be counter-productive for relationships and businesses alike. Following this philosophy, as written, may engender employee dissatisfaction and toxic interpersonal conflict.
Innovation Expert Stephen Shapiro – Reality is a Created Phenomenon. So Why Not Create Real Success
Right now, the Pygmalion effect may be wreaking havoc on your business. The simple truth is that your success may be predicated on how others view you. If we are labeled “incorrectlyâ€, it could have a detrimental effect on both employees as well as the organization at large.