Daily Archives: September 19, 2011


Implementation of the unicist ontology of business growth

Business Growth is implicit in the architecture of a business. The context for structural growth is defined when the architecture has been designed. But it has to be considered that structural growth is in the details of the architecture and between the lines of the work procedures.

The unicist ontology of economic growth was discovered in 1989 after 10 years of research and country scenario building. Since then, its application to business growth drove to multiple experiences until it could be confirmed in 2011. The Unicist Research Institute used this ontology to grow from a pioneer in 1976 to where it is now.

The unified field of business growth, in unicist standard language, includes:

  1. A context for growth, which is defined by the implicit vision of a company.
  2. The economic growth algorithm: driven by technology, value generation and institutionalization.
  3. Synchronicity: driven by opportunity, critical mass and added value.
  4. Timing: driven by synchronicity, acceleration of actions and speed of actions.
  5. Action: driven by value adding displacement, focused energy and work.

The algorithm for growth allows, on the one hand, diagnosing the possibilities of structural growth, defining its strategy and implementing the business processes to build it.

On the other hand, it defines the possibilities of conjunctual growth. Conjunctural growth implies actions that only drive to the growth of revenue that cannot be incompatible with the above described unified field of the growth algorithm.

We invite you to be our guest at the Unicist Library to access the collection of books on Unicist Business Architecture: http://www.unicist.com

Peter Belohlavek

NOTE: The Unicist Research Institute is a pioneer in complexity science research. More than 4,000 ontological researches were developed since 1976 until July 2011 in the field of individual, institutional and social evolution. They allowed describing the “DNA” of institutions, defined by the ontogenetic algorithms of their functions, and manage them using ontology based and business object driven solutions.

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