customer is the axis of organizations' activities and the mission of all modern organizations is based on the customer. quality as a concern and concept of management is defined in relation to customer satisfaction. regarding the common purpose of customer knowledge management and quality function development technique, this research is to evaluate automobile industry emphasizing the types of c...

This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledge is captured in a small set of easily understood rules, as opposed to a large set of opaque features and weights. A perspicuous representation is advantageous in order to best exploit human intuition to understand and...

every firm learns through firm specific methods. this learning process is operationalized by firm’s knowledge management practices. therefore, knowledge to result in successful learning should be assisted by a combinative framework which can enhance a firms’ absorptive capability. this in turn will play a decisive role for achieving competitive advantage. current literature in strategic managem...

A design structure matrix (DSM) provides a simple, compact, and visual representation of a complex system/process. This paper shows how DSM, a System Engineering tool, is applied as a knowledge capture (acquisition) tool in a Generic NPD process. The acquired knowledge (identified in the DSM) is then validated in an Australian manufacturing company. This acquired knowledge helps NPD teams, mana...

This paper examines the impact of acquisitions on the subsequent innovation performance of acquiring firms in the chemicals industry. We distinguish between technological acquisitions, acquisitions in which technology is a component of the acquired firm’s assets, and nontechnological acquisitions: acquisitions that do not involve a technological component. We develop a framework relating acquis...

The following two important features of human experts' knowledge are not realized by most evolutionary algorithms: one is that it is various and the other is that the amount of knowledge, including infrequently used knowledge, is large. To imitate these features, we introduce an activation value for individuals and a new variation-making operator, splitting, both of which are inspired by ecolog...