To become highly innovative means not only do you take one route not being taken before, but also explore multiple paths that lead towards the lifted vision.
While innovating in today’s world has become increasingly complex in nature., and innovation logic becomes nonlinear and multipath. Organizations can no longer rely on a single individual or team to drive innovation. It is a strategic imperative to develop the organizational level innovation competency.
Induction & deduction as inference logic to support innovation: Innovation is not serendipity; it is a logical process which can be managed. The essence of innovation is connecting wider dots to come up with fresh ideas or alternative solutions. If idea generation is an innate cognitive process with ingenious touch triggered at a few mysterious aha moments, then innovation is a management process to add meaningful value by applying engineering disciplines and practices, following the logical steps to transform great ideas into commercial value and yield competitive advantage.
Innovation is actually an alternative way to solve problems. Innovative problem-solving logic is often nonlinear and multi-dimensional. You need to take inferential logic to understand the real problems and illustrate them, take a process of deduction to derive a solution drawing from knowledge, experience, and out-of-the-box creativity; and take an interdisciplinary approach to discovering and building opportunities for creating new meaningful sources of value to targeted users.
Innovation theory- practice-theory is a logical induction-deduction scenario to improve innovation success rate: Innovation theory = thinking. Practice = doing. Theory and practice are inextricably linked, interactive and interdependent. Innovation usually has a very low success rate. Practice and tinkering are what lead to innovation and insight. You learn by experimenting, other people’s lessons; a good theory can also help you if you need to sell an idea and build confidence. Innovation theory is designed from actual contexts; innovation practice is governed by theory.
There are both breakthrough innovation and incremental innovation; hard innovation such as process or technology innovation or soft innovation such as culture or leadership innovation. Not every innovation can be guided through theories completely; but all practice is rooted in the theory of some kind. If the innovation theory is sound, then it can help the innovation practice achieve repeatability of outcome. The right dose of theories needs to well mix with the right sets of best and next practices,
Logic, intelligence, creativity is often nonlinear and multidimensional: Creativity is about thinking beyond conventional wisdom, or the “Out of Box” thinking. Intelligence is a capacity to understand problems and it’s often multidimensional. Logic is neither conventional wisdom nor linear arithmetic rules only, it’s about sequence and consequence; cause-effect. Creativity is about connecting the wider dots, cross-disciplinarily, but there is a logic as a hidden clue. Creative intelligence is multifaceted. To be an innovator, an individual's creative mentality, proactive attitudes, the blend of knowledge and ingenuity, and the right dose of confidence are all valid within the context of his or her creative intelligence.
Some people get the whole picture to generate unusual combinations of ideas or insight, which are all interlinked attributes in varying degrees depending on their mental models, perspectives, or distinctions, etc to drive the digital paradigm shift. Logic enables us to uncover patterns and understand the interconnectivity underneath the surface, or unpuzzle the myth behind intelligence. Applying nonlinear logic over linear logic and applying interdisciplinary management to gain an understanding of a business ecosystem could be at the tipping point for harnessing innovation.
To become highly innovative means not only do you take one route not being taken before, but also explore multiple paths that lead towards the lifted vision, practicing inferential consequences to lead innovation in a structural way, draw implications for future actions, and reach more inflection points to breakthrough ultimately.
Innovation is actually an alternative way to solve problems. Innovative problem-solving logic is often nonlinear and multi-dimensional. You need to take inferential logic to understand the real problems and illustrate them, take a process of deduction to derive a solution drawing from knowledge, experience, and out-of-the-box creativity; and take an interdisciplinary approach to discovering and building opportunities for creating new meaningful sources of value to targeted users.
Innovation theory- practice-theory is a logical induction-deduction scenario to improve innovation success rate: Innovation theory = thinking. Practice = doing. Theory and practice are inextricably linked, interactive and interdependent. Innovation usually has a very low success rate. Practice and tinkering are what lead to innovation and insight. You learn by experimenting, other people’s lessons; a good theory can also help you if you need to sell an idea and build confidence. Innovation theory is designed from actual contexts; innovation practice is governed by theory.
There are both breakthrough innovation and incremental innovation; hard innovation such as process or technology innovation or soft innovation such as culture or leadership innovation. Not every innovation can be guided through theories completely; but all practice is rooted in the theory of some kind. If the innovation theory is sound, then it can help the innovation practice achieve repeatability of outcome. The right dose of theories needs to well mix with the right sets of best and next practices,
Some people get the whole picture to generate unusual combinations of ideas or insight, which are all interlinked attributes in varying degrees depending on their mental models, perspectives, or distinctions, etc to drive the digital paradigm shift. Logic enables us to uncover patterns and understand the interconnectivity underneath the surface, or unpuzzle the myth behind intelligence. Applying nonlinear logic over linear logic and applying interdisciplinary management to gain an understanding of a business ecosystem could be at the tipping point for harnessing innovation.
To become highly innovative means not only do you take one route not being taken before, but also explore multiple paths that lead towards the lifted vision, practicing inferential consequences to lead innovation in a structural way, draw implications for future actions, and reach more inflection points to breakthrough ultimately.
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