• Journal of the Korean Data and Information Science Society
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• v.21 no.3
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• pp.535-546
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• 2010

There are two methods in grouping customers for micro marketing promotion. The one is based on how much they paid and the other is based on how many times they purchased. In this study we are interested in the repurchase probability of customers. By analysing the customer's transaction data and demographic data, we develop a forecasting model of repurchase and make epurchase indexes of them. As a modeling tool we use the logistic regression model. Finally we categorize the customers into five groups in according to their repurchase indexes so that we can control customers effectively and get higher profit.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.39-58
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• 2004

After SERVQUAL was proposed as a measure of perceived service quality, several arguments have been made against its validity and some competing measures have been developed. This paper reviews those controversies. Particularly, it compares the concept of expectation in the research of service quality with that in the research of satisfaction, re-purchase intention and suggests the authors' opinion. In addition, the paper suggests sequential casual relations among expectation, perceived performance and perceived service quality. With the help of previous researches concerning "SERVQUAL" and the related topics, six variables concerning travel services were identified. The six variables are tangibility, reliability, responsiveness, assurances, empathy and costs. Seven hypotheses were developed using these variables. The review of literature covers service's concept, model and method of service quality evaluation, and relationship among the concepts which is related to the service quality. The results of our study suggest further research is necessary to clarify which one is a better tool because we have a conflicting research outcome in terms of model fitting. The study also shows that assurances and costs have positive effect on customer satisfaction. It also turned out that customer satisfaction has positive effect on repurchase intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.363-371
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• 2019

In this study, 340 Korean women were surveyed to analyze the impact of the type of sunscreen and use status on the satisfaction of products and resale. Studies have shown that indoor activity is higher than outdoor activity, and both simple and complex sunscreen is often used to compensate for skin tone. Out of single sunscreen, sun cream was used and air cushion was used a lot. Although product usability and UV protection indices were important factors in purchasing, 30% experienced side effects while product satisfaction and willingness to repurchase were high. The recognition of safety, Effectiveness, convenience, usability, satisfaction, and repurchase were all higher than that of composite UV-blocking products, and among subcomponents of product usage recognition, the level of convenience, efficacy, usability, and safety affected satisfaction and repurchase in order. Consequently, the perception of simple UV protection products was higher when using products for UV protection, and its convenience had a significant impact on satisfaction and resale.

• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.3-16
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• 2020

Recently, as the fashion e-commerce market has expanded, the proportion of online shops that are growing rapidly has increased and with them so too has competition. Most retailers operating online shops need their own competitiveness, and accordingly, the need to develop their logistics service quality components is increasing. This study investigated the quality of the logistics services, which is a factor of the logistics service quality of the internet shop. It influences customer satisfaction and repurchase intention by collecting samples from the customers using online fashion shops. Two hundred customers who shop online were surveyed to extract the data. The sample was subjected to basic statistical analysis using the SPSS 25.0 package, and factor analysis, t-test, ANOVA, and correlation analysis were performed. The results of this study showed that the information quality of proactive return, promptness of the return process, and reliability of the return cost had a positive impact on customer satisfaction, and it had a significant influence on the customer's repurchase intention to the online store. A selection of shops showed high amounts of return reasons, high customer satisfaction, and high repurchase, whereas, in general, many others scored poorly across these criteria. This suggests that a retailer operating online should consider pages for receiving information plus sales content in addition to the quality and constituent factors of its logistics services for returns that influence repurchase and satisfaction.

• The Journal of Information Technology
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• v.2 no.1
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• pp.191-207
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• 1999

The study is in attempting for reviewing the selection problem of the measurement and the model, concerning a consumer satisfaction model. Therefore, a common model, which measures degree of consumer satisfaction by an arithmetic mean from measurement method including data, which assess compulsively the attribution and the importance to consumers, shows the problems of a field application. There showed a high predictive validity in the model of a singular item using the degree of a general satisfaction rather than a detailed assessment. However, the single model needs the model of consumer satisfaction from the using of plural items, because of the field problems that produce in an alternative application. There showed a high significance level in the model including variables, which are showing a high correlation between purchase intention and predictive validity.

• Journal of the Korean Society of Costume
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• v.62 no.5
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• pp.31-43
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• 2012

The purposes of this study were to investigate the differences of post-purchase satisfaction, brand loyalty, and repurchase intention of SPA clothing brand according to lifestyles, and to disclose how lifestyles, post-purchase satisfaction, and brand loyalty influence the repurchase intention. The research method was a survey method using questionnaires. The subjects were 304 female college students residing in Seoul metropolitan area. The lifestyles were classified into six factors including pursuit of challenges, proactive interpersonal relationship, interest in sports, self-centeredness, interest in IT, and achievement orientation. Three female groups were derived by cluster analysis of the 6 lifestyle factors: active-activity type, passive-activity type, and achievement-pursuit type. Brand loyalty was classified into two factors including continuing loyalty and convenient loyalty. First, the active-activity group showed higher convenient loyalty than the other groups. The achievement-pursuit group showed higher post-purchase satisfaction than the other groups in appearance of clothing, while the passive-activity group showed lower satisfaction in every factor, in particular, its price satisfaction was very low. Second, senior students showed higher continuing loyalty than freshmen, sophomores, and juniors. Students with more clothing expenses showed higher continuing loyalty as well as convenient loyalty than those with less clothing expenses. Their price satisfaction with SPA clothing brand as well as repurchase intention was higher. Third, repurchase intention was influenced by brand loyalty the most, and the next in the order by satisfaction level with brand, satisfaction with price, satisfaction level with appearance, and proactive interpersonal relationship. The brand loyalty was influenced by satisfaction level with price the most, and the next by satisfaction level with appearance.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.79-94
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• 2018

The purpose of this study is to specify a probabilistic tracking mechanism for customer luxury purchase implemented by hidden Markov model, Bayesian inference, customer satisfaction and net promoter score. In this paper, we have designed a probabilistic model based on customer's actual data containing purchase or non-purchase states by tracking the SPC chain : customer satisfaction -> customer referral -> purchase/non-purchase. By applying hidden Markov model and Viterbi algorithm to marketing theory, we have developed the statistical model related to probability theories and have found the best purchase pattern scenario from customer's purchase records.

• Journal of Distribution Research
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• v.11 no.4
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• pp.71-96
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• 2006

A systematic brand value management starts from its measurement. Accordingly, a number of studies have proposed to measure the value of the brands. However, most of them deal with the brand value of the tangible products. Also, in many cases, such an effort did not bring long-lasting effects because either it ended up with an one-time measurement or it employed a different measurement method each time, thus hampering the comparability of the results and the accumulation of knowledge over time. So, this study has measured retail brand value index of the discount stores and the department stores of Korea every year between 2002 and 2004. And then it provides what they have found over that period. In addition this study examines the significant relationship between retail brand value components and the market performance.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.100-110
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• 2010

The main roots of CM service contracts include existing customer repurchases and those made by new customers by existing ones. The study on customers and loyalty can be factors to strengthen CM's competitiveness. However, there have been little attempt to study customer satisfaction and customer loyalty. Construction Management (CM), the advanced construction management method, was introduced 15 years ago in the mid 1990's in the domestic market. The aim of this research is to build a model that can predict customer loyalty based on how much customers are satisfied with CM service. To measure customer satisfaction and loyalty, this research surveyed 135 decision-makers who have experienced CM services. Customer satisfaction was tested and analyzed according to different phases: planning, designing, procurement, construction, and post construction. Referral intention was tested based on NPS theory. Customer types were divided into detractors, passively satisfied and promoters according to the tested measurement and multinomial logistic regression between the satisfaction by construction phases and customer types. This research resulted to a model that can predict customer types: detractors, passively satisfied and promoters, which were determined according to satisfaction level. The initial planning phase also revealed which factor is most influential for a customer to become promoter. These results can be used to acquire customer loyalty by managing the satisfaction of customers through a project under an Internet-based environment. Such can provide the needed information in quickly exploring positive and negative word-of-mouth feedbacks.