期刊刊名：修平學報 　 卷期：22期

篇名出版日期：2011年3月1日

作者：Yen-Chu Chen,陳彥曲

語言：English

關鍵字：Habitual Domain,Decision Making in Changeable Space,Competence Set Analysis,Innovation Dynamics,習慣領域,能力集合分析,可變空間下的決策,創新動態學

被點閱次數：11次

閱讀時間：2208sec

摘要：
Human behaviors involve dynamic, evolving, interactive, adaptive processes. Important decision making, as a part of human behaviors, is usually dynamic and involves changeable parameters. These parameters can interact with each other and vary with time, thesituation, and changes in the psychological states of the decision makers involved. According to the habitual domains theory, decision making can reach a steady state and exhibit habitual patterns as time passes. As a consequence, people may unwittingly assume that the decision parameters have fixed known dimensions and ranges. However, in real life, the parameters might or might not be noticed. Even when they are noticed, their dimensions and ranges cannot be predetermined. Decision making with this kind of feature, is called “decision making in changeable spaces”.Corporate innovation problems are of this type.Innovation itself is a dynamic process, which includes transforming competence sets for innovation, producing products or services to release the pains and frustrations of target groups,and creating and distributing value. In the field of innovation studies, no framework has systematically described these processes in the past. This research is the first attempt to integrate these components into a single system. Business innovation itself involves decision making problems in changeable space, includingtransforming competence set for innovation, producing products or services to release the pain and frustration of target groups, creating values, and distributing values. Based on habitualdomains theory and its related competence set analysis, this article introduces the concepts of habitual domains and decision makings in changeable spaces as to describe the dynamics of human behavior and the changing nature of decision making problems. It explores the expansion of competence sets and creation of value, and proposes an integrated framework, Innovation Dynamics. Two corporate cases are discussed to verify the framework. By examining the operations of each link in innovation dynamics, corporations can understand if each and all links are properly developed, so that they can continually upgrade their products/services and create maximal value by releasing the pains and frustrations in potential domains of customers.

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