Page 53 - Chapter One
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Why it is Time Now for The Management Shift  21


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          sources not as resources.  Resources are spent after they are used, while
          sources are like the sun’s energy; capable of continuity and renewal. Work
          is supposed to be a fulfilling, purposeful and  life- enhancing experience,

          not just a job. It is not possible to be unhappy at work and happy in life.
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          Thomas Kuhn  argued that disconfirmation of or challenging a dominant
          paradigm never leads to its elimination, only a better alternative does. It is
          only a matter of time before a critical mass of academics, business schools,
          practitioners and consultants accepts the new paradigm as a norm.
          From the clockwork to the complex adaptive systems management

          Management paradigms are traditionally based on scientific paradigms,
          and since the time of the Renaissance and Newton’s theory, the machine
          metaphor has been predominant. This mechanistic metaphor describes the
          Universe as the clockwork, where any phenomenon is reduced to its parts,
          these parts are to be understood and put back together (often in new
          ways). It is also focused on the need for certainty, control and prediction,
          which prevents creativity and innovation. As discussed, this model was
          popularized by Frederic  Winslow  Taylor in his book  The Principles of
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          Scientific Management,  published more than a hundred years ago.
          The machine metaphor can be seen in organizational charts, detailed
          strategic plans and job descriptions. Organizations are viewed as machines
          and people are like cogs in these machines. Individual components are
          viewed in isolation, with managers specifying changes and corporate
          plans, resisting change and reducing variation and complexity.  The
          plans, rules and regulations are described in detail with the hope that
          the organizational clockwork can produce desired outcomes. When an
          unpredictable event occurs – for example, customers reject a new product
          or a competitor launches a major innovation on the market – we do more
          analysis, more prediction and then the next time something unpredictable
          happens we do the same. There are some contexts where this approach
          might work, but it is increasingly apparent that there are many situations
          where it does not. Rapid rates of change, new insights from life sciences
          and insufficiencies of the machine model have created a critical mass for
          revolution in management thinking.
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