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손기혁(Ki-Hyuk Son),전영호(Young-Ho Chun),옥창수(Chang-Soo Ok) 한국산업경영시스템학회 2013 한국산업경영시스템학회지 Vol.36 No.4
Estimation approaches for casual relation model with high-order factors have strict restrictions or limits. In the case of ML (Maximum Likelihood), a strong assumption which data must show a normal distribution is required and factors of exponentiation is impossible due to the uncertainty of factors. To overcome this limitation many PLS (Partial Least Squares) approaches are introduced to estimate the structural equation model including high-order factors. However, it is possible to yield biased estimates if there are some differences in the number of measurement variables connected to each latent variable. In addition, any approach does not exist to deal with general cases not having any measurement variable of high-order factors. This study compare several approaches including the repeated measures approach which are used to estimate the casual relation model including high-order factors by using PLS (Partial Least Squares), and suggest the best estimation approach. In other words, the study proposes the best approach through the research on the existing studies related to the casual relation model including high-order factors by using PLS and approach comparison using a virtual model.
무선인터넷 서비스의 CRM 구현을 위한 평가 요소추출에 관한 연구
全永鎬,孫基爀,金明敎 弘益大學校 科學技術硏究所 2004 科學技術硏究論文集 Vol.15 No.-
According to the realization and commercialization of wireless internet, wireless data communication has been recognized as an important client channel and the CRM (Customer Relationship Management) has emerged as the latest issue for the final increase of income by the improvement of customer relationship. Accordingly, this study is to extract the factors of customer satisfaction from the contents properties provided by wireless internet service and investigate how to realize the ultimate CRM and the influences of each property for customer satisfaction by classification of contents quality, information expression, search, sense touch and system quality. As the result of this study, the contents properties provided by the wireless internet service give the influences on customer satisfaction as the influential factors. In conclusion, the data studied in this paper will be used to promote the customer satisfaction of the wireless internet service providers in their product development and enable the statistical application in evaluation of service quality to increase the sales volume and the related income creation as expected.