• Journal of Distribution Research
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• v.13 no.2
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• pp.79-95
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• 2008

This study has focused on the relationship between the shopping mall and tenant store. Although the growth and development of shopping mall in Korea, there are few academic and professional interests. Therefore, adopting expectancy-disconfirmation paradigm, this study examined the constructs of expectation, performance, disconfirmation, satisfaction and re-visit intention of shopping mall and tenant store in each context. The research model also considered the mutual effect of these constructs between shopping mall and tenant store as positing the path between them. Hence, main hypotheses were divided into two different ways from the constructs of shopping mall to tenant store's and vice versa. Then, three hypotheses exploring the direction of customer's evaluation shopping mall and tenant were also included in the research model. From the result of 461 mall-intercept survey, almost hypotheses were supported as expected. In the explorative approach to find direction, the path from disconfirmation of and satisfaction with tenant to disconfirmation of and satisfaction with shopping mall were supported. In addition, the path from satisfaction with shopping mall to re-visit intention of tenant store was also accepted.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.137-147
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• 2013

This study classifies the marketing mix of LASIK eye surgery clinics into 7Ps, examines the influence of each factor of 7Ps(product, place, price, promotion, process, people and physical evidence) on customer satisfaction, and investigates the effect of customer satisfaction on trust and relationship commitment. Survey of 500 patients who received surgeries in 3 eye clinics in Busan area was conducted through self-administered questionnaires, and, with this data, path analysis was performed to estimate the study model. Main result showed that, among 7Ps, product, price, promotion, people and physical evidence had significant positive effect on customer satisfaction which, in turn, had significant positive effect on trust and relationship commitment. Also, it was found that trust positively affected relationship commitment. This result would be considered helpful in medical institution's efforts to establish trust on customer satisfaction and maintain relationship commitment. It also implies that, in order to enhance competitiveness in increasingly competitive medical market, establishment of proper marketing strategy is urgently required where the determinants of customer satisfaction are effectively administered and ultimate relationship commitment of customers based on trust can be maintained and enhanced.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.23-47
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• 2003

Traditional studies for customer relationship management (CRM) generally focus on static CRM in a specific time frame. The static CRM and customer behavior knowledge derived could help marketers to redirect marketing resources fur profit gain at that given point in time. However, as time goes, the static knowledge becomes obsolete. Therefore, application of CRM to an online retailer should be done dynamically in time. Customer-based analysis should observe the past purchase behavior of customers to understand their current and likely future purchase patterns in consumer markets, and to divide a market into distinct subsets of customers, any of which may conceivably be selected as a market target to be reached with a distinct marketing mix. Though the concept of buying-behavior-based CRM was advanced several decades ago, virtually little application of the dynamic CRM has been reported to date. In this paper, we propose a dynamic CRM model utilizing data mining and a Monitoring Agent System (MAS) to extract longitudinal knowledge from the customer data and to analyze customer behavior patterns over time for the Internet retailer. The proposed model includes an extensive analysis about a customer career path that observes behaviors of segment shifts of each customer: prediction of customer careers, identification of dominant career paths that most customers show and their managerial implications, and about the evolution of customer segments over time. furthermore, we show that dynamic CRM could be useful for solving several managerial problems which any retailers may face.

• The Journal of Industrial Distribution & Business
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• v.8 no.5
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• pp.95-109
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• 2017

Purpose - The purpose of this study is to classify the quality factors of coffee shop customers with the service quality based on the SERVQUAL, selection attributes, and service qualities used in previous studies. The path structure of coffee shops' quality factors → customer satisfaction → trust → behavioral intention was analyzed in order to confirm the system of coffee shops' quality factors. Research design, data, and methodology - The survey of was conducted with college students of Kangwon University. A total of 250 questionnaires were distributed, with 232 collected. Of them, Excluding 36 respondents' because of incomplete answers and missing values, 196 responses were used in the final analysis. Empirical analysis was made through factor analysis, correlation analysis, multiple regression analysis, simple regression analysis and mediating regression analysis by using Statistics Package SPSS 19.0. Results - The results are as follows: Firstly, coffee shops' quality factors were classified into seven categories like service encounter quality, product quality, cleanliness, overall interior, purchase quality, convenience, and aesthetics. Secondly, service encounter quality, product quality, purchase quality, and aesthetics had a positive effect on customer satisfaction, respectively. Thirdly, it showed that service encounter quality, product quality, overall interior, purchase quality, and aesthetics had a positive effect on trust, respectively. Fourthly, customer satisfaction had a positive effect on behavioral intention. Lastly, after verifying the effect relations of trust between customer satisfaction about coffee shop and behavioral intention, customer satisfaction has a positive effect on trust and trust has a positive effect on behavioral intention. On the other hand, trust did not have a mediating effect between customer satisfaction and behavioral intention. But, cleanliness, convenience, and overall interior did not have a positive effect on customer satisfaction. Conclusions - Coffee shop consumers put importance on price, discount systems, taste, and freshness, but more on courteous and kind services of coffee shop staff or comfortable and calming atmosphere of inner space. Thereby, coffee shop marketers need to take factors like service encounter quality and aesthetics into more consideration. In addition, customer satisfaction has an effect on trust, while trust on behavioral intention, even though trust is not mediated between customer satisfaction and behavior intention.

• Journal of Information Technology Applications and Management
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• v.12 no.4
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• pp.71-92
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• 2005

As the Internet establishes and reinforces connections between people, virtual community is becoming one of considerable business model. We believe that benefits of the virtual community go to both customer and vendor organizing virtual community. Despite the explosive growth of virtual communities on the Internet, empirical research has been focused to study the issues related to characteristics of virtual community The objective of this study is to enhance the understanding about virtual communities as an e-business model by Customer Relation Management and by empirically validating their effect on the performance of website. Through path analysis, we find support for relations behavior influence the online commitment. we also find that the online commitment enhance the organization citizenship behavior. Finally, we discuss several theoretical and practical Implications, and suggest limitations for research and future research issue.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.81-85
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• 2004

This study analyzes strategy and main contents between each business market by mobile phone Number Portability. And, grasps what each mobile company customer satisfaction factors is effected on mobile phone Number Portability and estimates relative importance about the factors and understand counter strategies by these factors. Concretely, this paper searched the important quality factor by frequency analysis, factor analysis, regression analysis and path analysis etc. And The sample data is subscriber using mobile communication service of the existing mobile communication company (SKT, KTF, LGT)

• Journal of Information Technology Services
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• v.8 no.2
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• pp.205-228
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• 2009

This paper examines how online product information changes the customers' purchase intentions from subjectivity-objectivity dichotomy perspective. Quality and Preference are proposed as product evaluation criteria and their marginal changes with product information differentiation are hypothesized. An experimental survey was conducted to 57 subjects and the hypotheses were partially supported through PLS path comparison method. The study contributes to IS research by proposing a simple and effective product evaluation framework and by abstracting the impact of product information from other factors. Finally, we suggest the utilization of product information with the optimization of the cost-benefit structure between information and purchase intention.

• Journal of Information Technology Applications and Management
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• v.11 no.3
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• pp.89-116
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• 2004

Insurance companies are in a fierce race to catch a new customer. In this situation. sales force automation technologies are often used to support customer relationship management strategies. This study sets out a research model predicting SFA(Sales Force Automation) usage through theoretical studies. Survey data were collected from 145 salespeople across 2 firms that had implemented sales force automation tools and hypotheses were tested empirically. Data were analyzed by path-analysis method of AMOS. The major findings of this study are as follows: Computer self-efficacy, user involvement and voluntariness have a statistically significant influence on the positive perceptions of SFA. These perceptions have a statistically significant influence on user satisfaction and usage of SFA. while user satisfaction has a statistically significant influence on SFA usage. This paper concludes with the discussion of these results and their implications for academic researchers and insurance company managers.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.378-390
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• 2010

From the perspective of employees working for public service agencies, we analyzed the causal relationship between service quality, relationship quality, design quality, customer satisfaction, and trust in public services. We conduct statistical analyses on the quality attributes we derived from a critical incident technique(CIT) analysis and build a measurement model, which has a second-order hierarchical structure. Survey data was collected from social work, childcare, and healthcare services. Using a structural equation modeling method, we identify a causal model and simultaneously estimate factor loadings and path coefficients. We find that all the quality dimensions are antecedents to satisfaction and then satisfaction precedes trust. The results show that service quality and design quality mediate in parallel the effect of relationship quality on satisfaction and both relationship and design qualities have stronger effects on satisfaction rather than service quality.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.14-19
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• 2006

This study examined the effect of waiting in a service queue on the evaluation of service quality focused on its overall process, mediators and moderators The conceptual model of this paper integrates key variables derived from previous studies of consumer waiting behavior. Data obtained from actual customers in service queue at a hospital was used to test the theoretical framework. First, results from the path analysis confirm that negative affect and acceptability of the wait function as mediators in the process that the perceived duration of the wait affects customer's evaluation of overall service quality. Second, the analysis of the data, with the use of moderate regression shows that disconfirmation of wait time expectations, transaction importance, stability of wait time and wait environment work as moderate variables for the relationship between perceived duration of wait and negative affect. For the relationship between perceived wait time and acceptability of the wait, on the other hand, only transaction import ante shows a significant effect as a moderator.