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Innovation Rules: A Method For Identifying Disruptive Innovation Opportunities?, Arcot Desai Narasimhalu
Innovation Rules: A Method For Identifying Disruptive Innovation Opportunities?, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
Innovation Rules or innovation evolution paths are described in this paper as a mechanism for identifying disruptive innovation opportunities. A generic structure of an Innovation Rule is first introduced followed by a discussion using specific instance of an Innovation Rule. The application of Innovation Rules for the discovery of disruptive innovation opportunities is presented next. Two methods that use Innovation Rules as the basis for identifying disruptive innovation opportunities are described next, one for market pull and the other one for technology push. A framework for dealing with Innovation Rules that represent both big and small disruptions is discussed next. …
Agile Innovation Management, Arcot Desai Narasimhalu
Agile Innovation Management, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
The volume and velocity of innovations are on the increase resulting in increased pressures on every company for attaining, retaining and increasing its market leadership. Many companies need to retool their innovation management processes to address two agility related objectives in order to survive and grow in such a rapidly changing innovation environment. The first objective would be the ability to assemble an innovation team within the shortest possible time. This can only be satisfied by companies that are capable of forming innovation teams rather quickly. The related second objective would be to reduce the I2M (Idea to Market) cycle …
Innovation Engine, Arcot Desai Narasimhalu
Innovation Engine, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
This paper describes a meta-model for innovation using an automobile engine as a metaphor. This innovation meta-model is used to manage a collection of innovation models. We develop an algorithm to identify innovations with potential for success using this meta-model. This meta-model can be used by corporations and individuals to identify plausible innovations at any given point in time.