For several decades, attribute classification methods using the asymmetrical relationship between an attribute performance and the satisfaction of that attribute have been explored by numerous researchers. In particular, the Kano model, which classifies quality attributes into 5 elements using simple questionnaire and two-dimensional evaluation table, has gained popularity: Attractive, One-dimensional, Must-be, Indifferent, and Reverse quality. As Kano's model is well accepted, many literatures have introduced categorization methods using the Kano's evaluation table at attribute level. However, they applied different terminologies and classification criteria and this causes confusion and misunderstanding. Therefore, a criterion for quality classification at attribute level is necessary. This study is aimed to suggest a new attribute classification method that sub-categorizes quality attributes using 5-point ordinal point and Kano's two-dimensional evaluation table through an extensive literature review. For this, the current study examines the intrinsic and extrinsic problems of the well-recognized Kano model that have been used for measuring customer satisfaction of products and services. For empirical study, the author conducted a comparative study between the results of Kano's model and the proposed method for an e-learning case (33 attributes). Results show that the proposed method is better in terms of ease of use and understanding of kano's results and this result will contribute to the further development of the attractive quality theory that enables to understand both the customers explicit and implicit needs.

The theory of two-dimensional quality, in particular, the Kano model that is developed by the analogy with the M-H theory, has been applied in various industry fields for more than three decades. Importance-Performance Analysis (IPA) assumes that the degree of physical fulfilment of quality attributes and the satisfaction of that attribute is linear, and therefore, it is applicable to the traditional one-dimensional attribute, not other quality types defined in the Kano’s model such as attractive or must-be attribute. To solve this problem, the current study suggests a new importance-satisfaction analysis using a modified IPA in accordance with the three quality types and a diagonal method introduced by Slack (1999) to determine improvement priority. For this, I investigated 19 smartphone’s quality attributes and conducted a survey of 334 university students for the results of Kano’s model, which adopted from Song and Park (2012)’s study, and the importance/satisfaction of the quality attributes and the results of the priority for improvement of the 19 quality attributes. The results show that the proposed I-S priority model is better than the conventional IPA based on the comparison results of determination coefficient from the regression analysis of the two models.

The purpose of this study was to investigate the characteristics of air quality using data from which obtain local air quality monitoring system for cohort study in Chungju, Korea. We analyzed the concentration data of NO2, SO2, and PM10 in Chungju and industrial cities in 2006. We compared a industrial area with a cohort study area using by bicluster algorithm. In the case of SO2, the rate of the cluster time was 10～60% and the cluster time number of two areas was similar. In the case of NO2 and PM10, the number of cluster time between a industrial area and cohort study area was clearly different.

본 연구의 목적은 유한요소법에 의한 이차원 오염물 이송에 대한 등수역학적 수치모형을 개발하는 것으로서 개발된 모형을 이용하여 지류와 폐수처리장으로부터의 오염물이 주하도로 유입되는 경우에 대한 수질해석을 수행하였다. 본 연구에서는, 합리적인 매개변수산출을 위한 보정과 모형의 신뢰성과 정확도를 위한 검증을 수행하였다. 또한, 실제 유역인 한강하류부에 본 모형을 적용한 결과 하도를 따라서 실제적인 오염물 분포양상을 재현하였으며 계산값과 실측값의 비교에서 잘