• Journal of the Korean Home Economics Association
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• v.44 no.5 s.219
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• pp.21-33
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• 2006

The purpose of this study were 1) to analyze customer relationship management(CRM) based on the online customer experiences by product types (i.e., men's, women's, casual, sports wear), 2) to analyze CRM based on the off-line customer experiences by product type, and 3) to examine customer purchase behavior of fashion products and internet usage behavior by product types. Survey and 1:1 interview were conducted from January 13th to May 16th, 2005. Six consumers from each brand (i.e., 3 loyal customers and 3 general customers) in a total of 24 customers were selected from each product type. For the data analysis, content analysis and descriptive statistics (i.e. frequency) were used. Among the key study findings first, as a result of the on-line CRM experience, the customers of men's wear preferred receiving customized information through e-mail or SMS service. The customers of sports wear preferred receiving a different level of information and participating in customized product service. Second, as a result of the off-line CRM experience, the customers of men's wear need to be encouraged to join a membership at a sales encounter and the customers of women's wear preferred receiving quick information of new products and participating in a design development planning of the merchandising process. Third, the purchasing behavior of the customers of women's wear are influenced mostly by the salesperson and the store atmosphere when they purchase clothes and the customers of men's wear are price-sensitive. The results of this study can be used when fashion brands perform strategic planning and decision making on CRM.

• Asia pacific journal of information systems
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• v.22 no.3
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• pp.1-27
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• 2012

Many companies have recently become interested in using social networking sites such as Twitter and Facebook as a new channel to communicate with their customers. For example, companies often offer "special deals" (e.g., coupons, discounts, free samples, etc.) to their customers who participate in promotions or events on social networking sites. Companies often make important announcements on their products or services on social networking sites. By doing so, customers are encouraged to continue to have relationships with companies on social networking sites and to recommend the companies' presence on social networking sites to other potential customers. Moreover, customers who keep close relationships with companies on social networking sites often provide the companies with valuable suggestions and feedback. For instance, Starbucks has more than 2 million followers on Twitter, and often receive suggestions and feedback for their product offerings and services from the followers on Twitter. Although companies realize potential benefits of using social networking sites as a channel to communicate with their customers, it appears that many companies have difficulty forging long-lasting relationships with customers on social networking sites. It is often reported that many customers who had followed companies on Twitter later stopped following them for various reasons. Therefore, it is an important issue to understand what motivates customers to continue to keep relationships with companies on social networking sites. Nonetheless, due attention has yet paid to this issue until recently. This study intends to contribute to our understanding on customers' intention to continue to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Specifically, we identify seven potential factors that customers perceive as important in evaluating their experience with companies on Twitter. The seven factors include similarity, receptivity, interactivity, ubiquitous connectivity, enjoyment, usefulness and transparency. We posit that the seven perception factors can affect the two types of satisfaction, emotional and cognitive, which can in turn influence on customers' intention to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Research hypotheses formulated in this study were tested with data collected from a questionnaire survey administered to customers who had been following companies on Twitter. The data was analyzed with the partial least square (PLS) approach to structural equation modeling. The results of data analysis based on 177 usable responses were generally supportive of our predictions for the effects of the seven factors identified and the two types of satisfaction. In particular, out results suggest that emotional satisfaction was strongly influenced by perceived similarity, perceived receptivity, perceived enjoyment, and perceived transparency. Cognitive satisfaction was significantly influenced by perceived similarity, perceived interactivity, perceived enjoyment, and perceived transparency. While cognitive satisfaction was found to have significant and positive effects on both continued following and word-of-mouth intentions, emotional satisfaction had a significant and positive effect only on word-of-mouth intention.

• Journal of Distribution Science
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• v.9 no.2
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• pp.97-109
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• 2011

As a marketing vehicle to survive in intensified retailing competition, retailer brand development has been adopted by retailers in Korea. As evidence, the retailer brand share of a major retailer, Tesco Korea, has grown from 20% in 2007 to 22.8% in the first half of 2008. It means that retailers have provided more and more retailer brand foods for customers. With the growing accessibility to retailer brand foods, it would be expected that the number of retailer brand food claims will increase. Customers have increasingly exposed to a variety of marketing activities conducted by retailers. When buying the retailer brand foods, customers tend to be affected by marketing activities of retailers. Despite the fact that customers trust retailers and then, buy their brand foods, in case of food accidents caused by production process, customers have to seek compensation from a retailer brand supplier. Of course, a retailer tends to shift its responsibility to its suppliers. Accordingly, it is not easy for customers to solve food claims. The research, therefore, aims at exploring the relationship between the buying-decision processes of retailer brand customers and which side takes legal responsibility for food claims. To effectively achieve the research aim, the author adopted a quantitative and a qualitative research technique, in order to supplement the disadvantages of each method. Before field research, based on the developed research model, the author pre-tested questionnaire with 10 samples, amended, and handed out to 400 samples. Amongst them, 316 questionnaires are available. For a focus group interview, 9 participants were recruited, who are students, housewives, and full-time workers, aged from 20s to 40s. Through the focus group interview as well as the questionnaire results, it was found that most customers were influenced by a retailer or store image in a customer's mind, retailer reputation and promotional activities. Surprisingly, customers think that the name of a retailer is a more important factor than who produces retailer brand foods, even though many customers check a retailer brand supplier, when making a buying-decision. Rather than retailer brand suppliers, customers trust retailers. That is why they purchase retailer brands. Nevertheless, production-related food claims is not involved with retailers. In fact, it would be difficult for customers to distinguish whether a food claim is related to selling or manufacturing processes. Based on research results, from a customer perspective, the research suggests that the government should require retailers to take the whole responsibility for retailer brand food claims, preventing retailers from passing the buck to retailer brand suppliers. In case of food claims, in order for customers to easily get the compensation, it is necessary to reconsider the current system. If so, retailers have to fully get involved in retailer brand production stage, and further, the customer awareness of retailer brands will be improved than ever before. Retailers cannot help taking care of the whole processes of retailer brand development, because of responsibility. As a result, the process to seek compensation for food claims might become easier, and further, the protection of customer right might be improved.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.5
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• pp.31-38
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• 2002

In this paper, we model a two-server queueing system with priority, to which we put a restriction on the number of servers for each customer class. customers are divided into two different classes. Class 1 customers have non-preemptive priority over class 2 customers. They are served by both servers when available but class 2 customers are served only by a designated server. We use a method of generating function depending on the state of servers. We find the generating function of the number of customers in queue, server utilization, mean queue length and mean waiting time for each class of customers.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.690-698
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• 2007

By investigating Internet shopping malls from a viewpoint ofenvironmental psychology, this study tries to expand the subject of servicescape into the Internet rather than to confine it to physical space. This study empirically validates the effect of e-servicescape (hereinafter e-scape) on customers' cognitive and emotional responses which subsequently can lead to customers' behaviors. An analysis of 490 questionnaires found that e-scape influences the emotional and cognitive responses, ultimately triggering customers' behaviors. We also found that the effects of e-scape on customers' behavior may be mediated by customers' internal responses. Based on the analysis result, servicescape management is important on the Internet just as it is in physical space. Concepts such as e-scape management can be one of the effective strategies to make an Internet shopping mall distinguishable from other Internet shopping malls.

• Journal of Korean Institute of Industrial Engineers
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• v.25 no.1
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• pp.130-140
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• 1999

This paper deals with a priority queueing model in an ATM system. Two types of customers are considered. Type-1 customers have push-put priority over type-2 customers. Type-1 customers can enter the service only when the number of type-2 customers is less than a threshold T. We derive the joint probability of the number of customers in the buffer, the mean waiting time, and the loss probabilities of each type. We also propose an optimal control policy that satisfies a given quality of service.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.80-108
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• 2016

Contemporary organizations strive for customer agility through the deployment of digital technologies on customer-focused operations to build enduring customer relationships, with mobile apps being one of its prominent examples. Drawing on prior agility and ECT literature, this study proposes a model to examine customers' view of a firm's customer agility. Our empirical test of conceptual model from data collected in a field study from 128 customers demonstrated that the conceptual model offers good explanation for customers' view of a firm's customer agility through relationships among customer expectations-customer perceived firm's responsiveness-satisfaction. Data were analyzed using PLS, polynomial modeling, and response surface methodology to examine the relationships between customers' digital interactions with the firm, influence of digitized interactions on customer expectations, customers' evaluation of firm's responsiveness, and subsequent customer satisfaction.

• Asian Journal of Business Environment
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• v.5 no.2
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• pp.5-13
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• 2015

Purpose - This paper aims to study the main selection criteria for Islamic banks in Indonesia, and to compare them with those for conventional banks. Research Design, Data, and Methodology - This study employs an exploratory approach and a natural experimental design with Factor Analysis and two independent sample tests as statistical analysis methods. A total of 363 questionnaires were distributed to three groups of bank customers-customers of Islamic and conventional banks individually, and those of both banks together (121 respondents in each group). Results - The research shows that service appears to be the most important factor in selecting Islamic banks, in addition to other emotional and rational factors. However, this service cannot be expressed as the Islamic banks' advantage compared to conventional banks, because the latter's customers also perceived service as the most important factor. The parametric mean of importance of service for both Islamic and conventional banks' customers is insignificantly different. Conclusion - Customers of both conventional and Islamic banks have a similar degree of importance for convenience, price, and service.

• Journal of the Korean Mathematical Society
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• v.32 no.2
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• pp.211-236
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• 1995

The purpose of this paper is to provide a transient diffusion approximation of queue size distribution for M/G/m/N system. The M/G/m/N system can be expressed as follows. The interarrival times of customers are exponential and the service times of customers have general distribution. The system can hold at most a total of N customers (including the customers in service) and any further arriving customers will be refused entry to the system and will depart immediately without service. The queueing system with finite capacity is more practical model than queueing system with infinite capacity. For example, in the design of a computer system one of the important problems is how much capacity is required for a buffer memory. It its capacity is too little, then overflow of customers (jobs) occurs frequently in heavy traffic and the performance of system deteriorates rapidly. On the other hand, if its capacity is too large, then most buffer memories remain unused.

• Journal of Information Management
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• v.40 no.4
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• pp.151-171
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• 2009

This study is to investigate dissatisfaction behavior of customers who purchase products on the Internet shopping mall and to find customers' dissatisfaction behavior types for effectively responding to that. Managing dissatisfaction behaviors are related to the customer satisfaction. To conduct this study, Call Center data was collected and analysed by qualitative method. The results showed that dissatisfaction of product quality and disappointment have different effects on post--purchase behaviors. Customers who feel more dissatisfaction with product quality showed the aggressive response such as exchange, refund, while customers who feel disappointment are likely to switch the shopping mall or to cancel the order. These results of customers' dissatisfaction behaviors indicate that company has to manage both product quality and the customer's experience dimension.