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Linking innovative product development with customer knowledge: a data-mining approach

机译:将创新产品开发与客户知识联系起来:数据挖掘方法

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摘要

In today's digital economy, knowledge is regarded as an asset, and the implementation of knowledge management supports a company in developing innovative products and making critical management strategic decisions. Product innovation must link technological competence such as engineering and process know-how with knowledge about the customer, so that the product will meet the customers' needs, in order to secure market acceptance. Even though the importance of knowledge management in the technological innovation of a product has long been recognized, its potential for customer knowledge management has not been widely researched. To address the importance of the need of customer knowledge in innovative product development, this paper proposes an E-CKM model with a methodology for precisely delineating the process of customer knowledge management for innovative product development. In the knowledge management domain, an important task is the conversion of tacit knowledge into explicit knowledge, allowing information technology, such as web-based surveys and data mining to extract customer knowledge from different market segments. An empirical study applying the E-CKM model has been carried out, and it meets the evaluation criteria in a multiple-assessment scheme for showing a satisfactory result. The result is used in the decision making for innovative product development in order to reduce project risk and secure commercial success.
机译:在当今的数字经济中,知识被视为一种资产,知识管理的实施支持公司开发创新产品和制定关键管理战略决策。产品创新必须将技术能力(例如工程技术和工艺知识)与有关客户的知识联系起来,以便产品能够满足客户的需求,以确保获得市场认可。尽管人们早已认识到知识管理在产品技术创新中的重要性,但尚未广泛研究其在客户知识管理中的潜力。为了解决在创新产品开发中客户知识需求的重要性,本文提出了一种E-CKM模型,该模型带有一种方法,可以精确地描述创新产品开发中客户知识管理的过程。在知识管理领域,一项重要的任务是将隐性知识转换为显性知识,从而使基于Web的调查和数据挖掘等信息技术能够从不同的市场领域中提取客户知识。已经进行了使用E-CKM模型的实证研究,并且该研究符合多重评估方案中的评估标准,显示出令人满意的结果。将结果用于创新产品开发的决策中,以降低项目风险并确保商业成功。

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