Inferential logic helps to weave all important business elements seamlessly for sparkling innovations and get fruitful results.
Digital innovation management is a system that can be fine-tuned in a structured way to improve its success rate.
“Common sense inference” vs innovation: All the implicit knowledge of a particular social and cultural environment belongs to common sense. With common sense, we avoid complexity, pursue simplicity and intuitive problem solving. However, common sense is not equal to conventional wisdom, the mind with common sense is restructured, critical and predictive, not for keeping the status quo, in fact, true critical thinking has creativity embedded in it. The greater the knowledge of the systems in which one lives, a correct inference to be made from the use of common sense. Thus, the right attitude is that: Have common sense to make the right decision as there’s collective insight in it, but have the courage to challenge it and be innovative to create new knowledge if it turns out to be out of date conventional wisdom.
Common sense is based upon focused and coherent facilitation of logic and multifaceted value from emotional, social, and logical sets of perspectives to drive desired outcomes. Common Sense is based on levels of related skills development. There are discrepancies between “local” and “global” common sense. People may have abundant experiences in certain domains, but they do not know how to frame the right questions or how their experiences relate to useful outcomes. Then they may still lack common sense. Thus, creativity is an important skill to build bridges to gain an in-depth understanding of common sense cross interdisciplinary domains. Common sense facilitates practical needs and allows for pursuing long-term goals, making things simple.
Nonlinear logic vs. innovation: To create the new idea requires not just a single type of thought process or linear logic only, it's multidimensional thinking; not just one skill, but many, not just old experience, but the new perspective. In today’s digital world, inference and logic are often nonlinear and multidimensional, to turn on the innovation light bulb and spark creativity. The essence of innovation is made of making valuable inquiries, trying new combinations of old or new things, embracing a new concept that you may have never imagined, and connecting wider dots to come up with fresh ideas or alternative solutions. The variety of points of view or ideas directly contribute to the business value in terms of engagement, productivity, innovation and profitability.
Innovation is a nonlinear process involving non-stable processes. Especially radical innovation often brings something that was not existing before by creating or gathering technologies or nonlinear processes. If you take knowledge from one context and bring it over into a new context in a nonlinear way, you have knowledge or technology transfer innovation. Collaboratively, organizational innovation is based on the collective consensus on how to solve problems creatively, the intent of the event was to develop a tangible result that did not currently exist; the result was not something that any individual participant could have conceived independently, and the resulting innovative 'product' was more than any individual was capable of achieving. While the individual contributions provide the 'building block" of innovativeness. When innovation logic is applied broadly, creativity can manifest in a collective environment, and innovation can be scaled and multiplied collectively.
Induction & deduction as inference logic and engineering disciplines to support innovation: Innovation is a disciplined approach to discovering and building opportunities to create new meaningful sources of value to targeted users. Innovation is adding meaningful value by applying engineering practices to improve the products or processes, understand how systems work, and yield a competitive advantage. Theory- practice-theory is a logical induction-deduction scenario and a multi-disciplinary effort to improve innovation success rate.
From ideation to implementation, companies need to filter, prototype and validate their ideas. Engineering is a piece of art because it involves designing thinking, personalized observation & judgment, creativity, and intuition. There are axioms within system assurance engineering that support innovation as the result of many forms of engineering or nonlinear thinking required such as induction and deduction, temporal, abstract, etc. Innovation leaders should fill their innovation toolbox with tailored frameworks, processes, and the various engineering tools such as problem-solving tools, new products development tools, analytics, failure prediction tools, as well as the metrics to evaluate innovation performance.
Inferential logic helps to weave all important business elements seamlessly for sparkling innovations and get fruitful results. From the pre-planning stage to post-implementation check-up, innovation management should continue to take different scenarios for broadening the “innovation scope,” integrate critical components of innovation such as process, technology, culture and support all sorts of innovation efforts to maximize business potential. Focus on building a healthy innovation portfolio by taking integrated digital management practices which are based on interdisciplinarity, holism, to establish differentiated business competency and thrive on consistency and predictability.
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