Attractive Quality Creation via the Kano-CKM Model

ASIA unversity > 管理學院 > 經營管理學系 > 期刊論文 > Item 310904400/10085

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/10085

Title:	Attractive Quality Creation via the Kano-CKM Model
Authors:	Chen, Y. H.;Sha, D. Y.;Yang, C. H.
Contributors:	亞洲大學經營管理學系
Keywords:	Kano's method;Customer knowledge management;Data mining;Market segmentation
Date:	2005
Issue Date:	2010-06-10 03:53:41 (UTC+0)
Publisher:	Asia University
Abstract:	To cope with increasingly intensive business competition, most of companies anticipate that the pursuit of knowledge enables gaining competitive advantage in organizational efficiency and effectiveness, product innovation as well as market success, by managing the knowledge and converting it into useful product and services. Therefore, it is recognized that the implementation of knowledge management supports a company in developing innovative products and making critical management strategic decisions. Innovative product play an important role of enhancing company’s competitive advantage for business success, and the advanced features delivered by high technologies indeed offer certain benefits to customer though, the accompanying application complexities and cost mark-up could offset customers’ perceived value against the purchase intension of the product. Hence, to elaborate the management of customer knowledge on how they evaluate the innovative product and how much they need the delivered features becomes an imperative issue. As without attractive quality, any innovative product will hardly hold a strong position in marketplace or market viability, not to mention the business excellence. In knowledge management domain, an important task is the conversion of tacit knowledge into explicit knowledge. Data mining technique has been recognized as a useful approach in knowledge discovery, nevertheless researchers still urge on improving its effectiveness by employing psychological element and human data rather than transactional data. To do so, the well-established Kano’s Method also comes up to the demand on extracting customer knowledge for attractive quality creation in new product development. As a consequence, this article extends the outcome of a previous research on a proposed Kano-CKM model, to compare the results of two different approaches of data mining. Data set obtained from an industrial level case study is used to depict how each approach may render insight on customer knowledge from different aspect.
Relation:	Journal of Quality 12(4) : 283-299
Appears in Collections:	[經營管理學系 ] 期刊論文

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