• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.4
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• pp.117-130
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• 2005

It is effective and desirable for a proper customer relationship management or marketing to focus on the specific customers rather than a number of non specific customers. This study forecasts the prospective purchasers with high probability to purchase a specific product. Artificial Neural Network( ANN) can classily the characteristics of the prospective purchasers but ANN has a limitation in comprehending of outputs. ANN is integrated into IRANN with IR of decision tree program C5.0 to comprehend and analyze the outputs of ANN. We compare and analyze the accuracy of ANN, IR, and IRANN each other.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2004.11a
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• pp.89-96
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• 2004

The purpose of the study was to identify the status of satisfaction level, moving motivation, the level of housing choosing behavior, and housing needs of potential purchasers in bukgu new housing area, Ulsan. The survey used questionnaire from 336 households living in bukgu area and analyzed using descriptive statistics, and one-way analysis of variance and Scheffe' multiple range test. The research results showed low degree of residents' satisfaction in storage space, neighborhood environment. The moving motivations were physical environment improvement, education environment, walking road, view and lighting.

• Journal of the Korean housing association
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• v.14 no.6
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• pp.1-13
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• 2003

Housing supply ratio in Ulsan area has soared up to 91% recently. Therefore, developing a successful marketing strategy is an essential part of apartment sales success in Ulsan area. The purpose of this study is identifying the status of satisfaction level, moving motivation, the level of housing choosing behavior, and housing needs of the apartments for making a marketing strategy. The survey uses questionnaires which are delivered to the 545 housewives who live in 20 pyoung or 30 pyoung apartment in Ulsan area. The research uses a survey questionnaire for gathering a set of statistically-reasonable number of data among one million population of Ulsan metropolitan area. The frequency test and F-test are used for the analysis of the results. The results of empirical analyses provide the following major findings： 1) housing satisfaction of Buk-ku residents is higher than that of the residents of the other area, 2) neighborhood environment improvement and physical environment improvement are important factors of housing moving motivations, 3) view and lighting are important requirements of the housing, 4) the level of housing choosing efforts are more active in the residents of Joong-ku and Dong-ku than those of Nam-ku and Buk-ku.