• The International Journal of Costume Culture
• /
• v.5 no.1
• /
• pp.14-25
• /
• 2002

The purpose of this study is to define mass customization in the apparel industry and to discover, the apparel industry's potential to deliver customized apparel products. Different from product-centered mass Production, mass customization is focusing on customers' unique needs. The goal of mass customization is for customers to find exactly what they want at a reasonable price. Using new technologies such as 3-D body scanning and digital printing, mass customization can give customers customfit and personalized garments. Mass customization can satisfy a customer in terms of personalization, fit and design. Adoption of mass customization will open new opportunities for the apparel manufacturer of the future. Mass customization is a strategy that apparel manufacturers should consider for their goals.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.5 no.1
• /
• pp.27-32
• /
• 2017

The main objective of this study is to find the Interrelationship between Service Quality, Electronic Banking and Customer Satisfaction in Commercial Banks in Uganda. A review of literature was conducted to find out the relationship among Service Quality, Electronic Banking and Customer Satisfaction. The literature review confirms this relationship. A survey was conducted to collect data. The sample size of 210 commercial banking customers was drawn from different banks in Uganda. The result shows, the Electronic banking adoption was found to have a positive relationship with Service Quality, Service Quality was found to have a positive relationship with Customer satisfaction; and Electronic banking adoption had a positive relationship with Customer satisfaction. In light of the findings various recommendations were put across on how retail banks can better satisfy their customers through the use of electronic banking channels. Electronic banking adoption will then foster Service Quality where a customer's service expectations are exceeded by the actual service She/he obtains. This will then bring about Customer satisfaction where the customers find that their needs are met by the service.

• Proceedings of the Safety Management and Science Conference
• /
• 2006.11a
• /
• pp.299-307
• /
• 2006

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Journal of the Korea Safety Management & Science
• /
• v.10 no.4
• /
• pp.309-314
• /
• 2008

Many studies on predicting and recommending information and products have been studying to meet customers' preference. Unnecessary information should be removed to satisfy customers' needs in massive information. The some information filtering methods to remove unnecessary information have been suggested but these methods have scarcity and scalability problems. Therefore, this paper explores a personalized recommendation system based on artificial neural network (ANN) to solve these problems. The insurance product recommendation is adapted as an example to demonstrate the proposed method. The proposed recommendation system is expected to recommended a suitable and personalized insurance products for customers' satisfaction.

• Journal of Electrical Engineering and Technology
• /
• v.7 no.1
• /
• pp.9-16
• /
• 2012

The present study presents the Phasor Discrete Particle Swarm Optimization (PDPSO) algorithm, an effective optimization technique, the multi-dimensional vectors of which consist of magnitudes and phase angles. PDPSO is employed in the configuration of micro-grids. Micro-grids are concepts of distribution system that directly unifies customers and distributed generations (DGs). Micro-grids could supply electric power to customers and conduct power transaction via a power market by operating economic dispatch of diverse cost functions through several DGs. If a large number of micro-grids exist in one distribution system, the algorithm needs to adjust the configuration of numerous micro-grids in order to supply electric power with minimum generation cost for all customers under the distribution system.

• Journal of the Korea Safety Management & Science
• /
• v.4 no.4
• /
• pp.119-128
• /
• 2002

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. from this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2006.04a
• /
• pp.8-13
• /
• 2006

In this paper, we try to find success factor to satisfy Female Customer of a Family Restaurant We survey Female Customers Requirement and make a Questionnaire based on Female Customer by interview and internet Homepage. We find Potential customer satisfying factor by using Kano Analysis and Timko's CS coefficient and Potential Customer Satisfactionv improvement Index(PCSI) which is suggested by Leem represents how much a service feature can increase the degree of customer satisfaction when the service feature is fully fulfilled. We also discuss how to use this result, we hope our result to apply customer satisfying many fields not only Family Restaurant.

• Journal of the Korean Society of Food Culture
• /
• v.22 no.5
• /
• pp.575-581
• /
• 2007

The purpose of this study was to investigate the influence of additional marketing mix on overall satisfaction of customers at family restaurants in Seoul and Kyongki-province. In this research frequency analysis, reliability analysis, factor analysis, multiple-regression analysis were employed to analyze the data. Additional marketing mix were divided into 3 factors. Employee(${\beta}=0.352$, t(p)=7.221(0.000) had the most positive impact on overall satisfaction. And physical evidence(0.160, t(p)=3.271(0.001) and process(${\beta}=0.114$, t(p)=2.338(0.020) influenced positively(+) in order. As a result, all factors of additional marketing mix influenced significantly overall satisfaction of customers. These additional marketing mix are regarded as effective marketing tactic to reduce intangibility of food-service business. Therefore restaurant company needs to manage additional marketing mix sufficiently to maintain of customers' satisfaction at family restaurants.

• Journal of Distribution Science
• /
• v.16 no.11
• /
• pp.57-64
• /
• 2018

Purpose - As the importance of salesperson attitudes and behaviors enhancing customer perception and loyalty have increased, many retail companies put emphasis on internal marketing activities. The issue also has captured the interest of academics, but most of the previous research tends to be limited to investigating antecedents of salesperson job satisfaction and commitment. Based on the consumer-brand relationship concepts, this study aims to examine the effects of the salesperson-brand relationships on customers' service evaluation and store loyalty. Research design, data, and methodology - In a structural equation model, it is hypothesized that salesperson brand identification influences salespersons' brand trust and affect, which are the two dimensions of consumer-brand relationships. Salespersons' brand trust and affect are expected to increase salespersons' customer orientation, which in turn influences customers' service evaluations and store loyalty. To test this hypotheses a set of data collected from department stores in Seoul is utilized. Results - First, it was found that salesperson brand identification is a significant antecedent to salespersons' brand trust and affects, the two dimensions of salesperson brand relationships. Second, salespersons' brand trust and affect were found to enhance salespersons' customer-oriented behaviors. Third, salespersons' customer orientation showed a significant effect on customers' service evaluation. When a salesperson makes more effort to provide useful information for fulfilling customer needs, customers evaluate the salesperson's service more positively. Finally, customers' service evaluation had a positive impact on customers' store loyalty. Conclusions - This study provides significant academic and practical implications. First, based on the theory of consumer-brand relationships, the concept of salesperson-brand relationships was introduced and found to be an effective motivator of salespersons' customer oriented attitudes and behaviors. Therefore, the two dimensions of brand relationships, brand trust and affect, should be considered as the critical factors both in developing theoretical research and improving long-term company performance. Also, internal marketing activities should focus on maximizing employees' brand identification. That is, retail companies need to put emphasis on sharing their brand values and personality with internal customers to strengthen the brand relationships with salespersons and to enhance customer responses.

• Information Systems Review
• /
• v.7 no.2
• /
• pp.23-40
• /
• 2005

Discovering customers' behavioral patterns from large data set and providing them with corresponding services or products are critical components in managing a current business. However, the diversity of customer needs coupled with the limited resources suggests that companies should make more efforts on understanding and managing specific groups of customers, not the whole customers. The key issue of this paper is based on the fact that the behavioral patterns extracted from the specific groups of customers shall be different from those from the whole customers. This paper proposes the idea of pre-segmentation before developing customer classification models. We collected three customers' demographic and transactional data sets from a credit card, a tele-communication, and an insurance company in Korea, and then segmented customers by major variables. Different churn prediction models were developed from each segments and the whole data set, respectively, using the decision tree induction approach, and compared in terms of the hit ratio and the simplicity of generated rules.