The Imperative of the Science of Innovation

The need for the science of innovation is defined by the facs that every entity must grow; the opposite “…makes the firm’s prospects highly unattractive in finite time and bankruptcy practically certain in the long run.” (Gordon and Rosenthal, CJOE, 2003). However, according to Frost & Sullivan (2008), the probability of an innovation creating growth is under 1 percent and 76 percent of innovations fail to deliver profit ( Harvard and Deloitte 2003).

To ensure continuity of market success, the high risk and cost associated with typical approaches to innovation have to be reduced. Even better, the success odds have to be reversed to favor those companies that employ innovation for achieving their business objectives. Ideally, the companies’ personnel has to be able to innovate on demand.

This capability is the only plausible solution that can ensure continuous creation of value, which is the prerequisite for continuity of market success. Today, however, the majority of methods and theoretical frameworks that are used for innovating (e.g. brainstorming, chain of associations, open innovation, “group-think”, and etc.) do improve creativity and do deliver new ideas, but they do not deliver what the corporate world desperately needs; continuous flow of good ideas that create Unique Value Proposition. The reversal of odds in the innovators’ favor can be only made possible by science, as it has always been able to ensure consistent results!

General Theory of Innovation (GTI)

General Theory of Innovation was created by Greg Yezersky. The work aimed at creating a theory concerned with understanding the causes of and enabling mechanisms for emergence, success (survival), and demise of the man-made systems started in 1988. The name of General Theory of Innovation was suggested by Dr. Noel Leon Rovira (Instituto Tecnológico y de Estudios Superiores de Monterrey, ITESM, Monterrey, Mexico) and adopted in 2005.

GTI is based on these facts and principles.

  • All the artificial systems (such as products, processes, services, organizations, etc.), regardless of their complexity and specific nature, evolve over time. Any innovation is a single step in this continual process.
  • Despite its perceived randomness, the process of evolution has a logic and a predominant direction.
  • Deviation from this evolutionary logic predetermines troubles for an upcoming innovation.
  • Instead, obeying the logic of the evolutionary process (deliberately or not) enables reversal of the odds and creation of successful innovations virtually on demand!
  • Knowledge of the evolutionary logic enables a) effective and efficient problem solving, b) reliable prediction of future evolutionary changes, c) objective judgment of the proposed innovations, and d) other essentials for every business’ success function.
  • Emergence of the science of innovation enables drastic risk and cost reduction while greatly improving the outcome.
  • Last but not least, any scientific theory can be effectively taught and learned, which enables creation of corporate “On-Demand Innovation” capability.

All these GTI capabilities were used to create various business applications, which were rigorously tested to address the needs of real projects; they have proven their effectiveness A list of clients that benefited from application of GTI includes many prestigious companies and institutions from all around the world. GTI has been also taught globally and is the only scientific theory of innovation with prescriptive and predictive capabilities and with the broadest range of applications.

If you want to know more details, please explore the Innovation Resources page.