• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.78
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• pp.53-72
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• 2018

Recently, it has been known that it need to be solved export marketing on expanding export of Small Business Commodity. Therefore, the purpose of this paper is to analyse on expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0. This study deals with the terms of three connection success factors on expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 which are a firm's subjective factors, a industrial environment factors, and a governmental policy factors. According to analysis results of the three success factors, a firm's subjective factors(4.13 score) are scored at the most ones of the three success factors, to be compared with a industrial environment factors(3.89 score), with a government policy factors(3.72 score). Therefore, first of all, it is important to expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 through as follows, a firm's subjective factors : (1) to procure concentrated market strategy and real market capacity, (2) to procure speedy satisfaction of customer needs and confidence, (3) to procure ability of export marketing through e-Trading Application, (4) to enhance export expanding strategy coincided in Industrie 4.0. And, the next, we have to expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 through considering a industrial environment factors and a government policy factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.5 s.153
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• pp.663-673
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• 2006

The purpose of this study is to seek for a plan of marketing strategy in the businesses of Korean clothes, by examining the causality among marketing factors, which have influenced CRM(Customer Relationship Management) performance in Korean clothes. As for the research method, a research model was designed to include routes form 4P's(products, price, promotion, place) through endogenous variables to performance variables, and a questionnaire was developed on the basis of theoretical background. The research participants were male and female adults at their age from 20 to 60. The survey was conducted in March of 2003, and 672 questionnaires were used for the final analysis. In terms of data analysis, we carried out reliability analysis, exploratory and confirmatory factor analysis, correlation analysis, and Structural Equation Modeling by using SPSSWIN 10.0 and AMOS 4.0. As a result 4P's were indicated to have influence upon confidence, satisfaction and commitment of customers. Especially, sales promotion factor was found to have the biggest impact on them. also, the quality of relationship affected CRM performance. as sales promotion factor was identified as one of the integral elements of marketing strategies, a strategy that utilizes a role of salespeople and enhances the quality of service is needed.

• The Journal of the Korea Contents Association
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• v.7 no.3
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• pp.187-196
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• 2007

In Korea, the market of internet shopping mall rapidly increases. The purpose of this study is how to progressed to internet shopping mall system in Korea and a improvement and characteristics of that through progress and case studies of internet shopping mall. As to the future direction of the market of internet shopping mall in Korea, many of commodity parts will be traded among established participants on internet websites owned by internet shopping mall groups. Finally, for improvement of internet shopping mall industry in Korea I suggested that there are "mutual cooperation of internet shopping mall companies", "maintain the customer's confidence", "attain the profits through a niche market strategy".

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.231-240
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• 2020

E-commerce development led to the explosion of online payment. Consumers have many choices when deciding on the online payment method for each transaction. Using a combination of both qualitative and quantitative methods with the help of SPSS AMOS version 22.0, the article explores the factors that influence consumers' online payment method decision behavior in Vietnam. Research results show that awareness of usefulness, awareness of risk, awareness of trust, awareness ease of use, product uncertainly perception and perceived behavioral control have effects on the behavior of deciding on online payment methods. Awareness of risk has the strongest negative impact on online payment method decision behavior and awareness of usefulness has the strongest positive impact on online payment method decision behavior. Based on these important results, the article proposes a number of implications: (i) continuing to invest and upgrade modern technology to ensure customer information absolutely confidential; (ii) converting all ATM cards on the market to EMV chip standard card technology; (iii) improving service activities, quickly handle things to create confidence for customers; (iv) credit institutions operating in the field of online payment linked to e-commerce sites, supermarkets, convenience stores, restaurants must ask partners to increase transparency for the products.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.369-376
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• 2020

Credit capital from customers' savings deposit (CSD) of banks has an important meaning in the business activities of the banking industry. There are many factors that influence the CSD satisfaction with banks. Certain changes have been made when there are fluctuations due to COVID-19. The article is based on an analysis assessing the factors that influence the CSD satisfaction of Vietnamese commercial banks in the context of COVID-19. The authors use a sample of 1,639 CSD. The results show that there are three variables that positively affect CSD satisfaction, including legal provisions of the Central bank (Legal), policies and mechanisms of commercial banks (Policy), and products of commercial banks (Product). Accordingly, in order to contribute to strengthening this capital mobilization of savings deposit, the Central bank of Vietnam needs to play a pivotal role in the regulations of the banking system to ensure its stability; control well monetary policy, interest rates, and inflation to keep a stable position in the economy; and provide timely financial support packages to enhance the confidence of CSD. Moreover, Vietnamese commercial banks need flexible policies and mechanisms to stimulate CSD; strengthen support on deposit rates for CSD; and diversify products to easily adapt to each CSD's situation.

• The Korean Journal of Food And Nutrition
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• v.18 no.4
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• pp.385-394
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• 2005

The objective of this study is to stimulate the satisfaction on food color sensitivity through objectifying the color sensitivities on customer's foods. The preference analysis on food sensitivity adjectives is measured on 5-point scale by preferring degree on each adjectives. And it is calculated on the sensitivities for the SD method that is used for finding whether it is strong or not on food image stimulus which was photographed on the 8 restaurants in Seoul. We found the outcome as follows. The most preferred sensitivity adjective is 'cleanness', and the worst preferred one is 'unshapliness'. It is differed on genders by $95\%$ confidence interval. The attractiveness, simplicity, richness, comfort and elegance are derived from the result of factor analysis for food color sensitivity. The yellow or orange color foods are main one for the simplicity and comfort. The orange color food are fit on richness and elegance factor, and it will be most effective if choosing the color more similar to brown one.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.479-485
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• 2021

Although corporate social responsibility (CSR) is an extensively studied topic, its determinants in the field of Islamic banking are scarce. In Bangladesh, CSR plays a vital role in gaining customer loyalty and confidence. Therefore, this research aims to identify and analyze the influence of the Shariah Supervisory Board (SSB) and the Shariah Audit Committee (SAC) on CSR adoption in Islamic banks in Bangladesh. The study population is managers and second managers of 160 Islamic bank branches of different commercial banks in Dhaka, Bangladesh. The sampling technique used is convenience sampling where the first available primary data source was used for the research without additional requirements. The study developed a survey questionnaire from examining previous related studies in Islamic banking and CSR context. The final sample size in this research was n = 309, indicating the survey response rate was about 97%. The study used SPSS 23.0 software to interpret the statistical findings, and the findings revealed that support from the SSB and the presence of a strong and effective SAC has a strong correlation with CSR adoption and significantly influence CSR adoption in Islamic banks in Bangladesh. Finally, the study proposes several significant and crucial policy guidelines for Islamic bank branches to adopt CSR activities.

• Archives of design research
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• v.19 no.1 s.63
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• pp.215-224
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• 2006

As the competition becomes more severe, the importance of brand confidence is coming to the front mainly because there has been a tendency of the customer for choosing a product or service in conjunction with the confidence. The concept of brand personality has formed as a result of various efforts for establishing a differentiated and confident brand image. The brand personality is regarded a useful mean for meeting objectives of a corporation for establishing a distinctive brand identity as well as customers for expressing their self-image. In line with the growing importance of the brand personality, researchers have attempted to measure it by various methods. However, most of researches were based on verbal and quantitative methods which take a long period of time and lots of efforts to analyze their results. Such methods also have limitations for visualizing the results. In this vein, this study aims to develop a new visible brand personality measurement system by utilizing the purpose-designed avatar. Major findings of the study are as follows: Firstly, the avatar can be an effective mean for visualizing the brand personality. As the avatar can visualize the personalities of human-beings through facial expressions, clothing, attitudes and movements, a specially designed avatar can express the brand personality. Secondly, types of the brand personality can be segregated into distinctive seven classes and such classes are used as guidelines for developing specially designed brand personality avatars. Thirdly, the purpose-designed brand personality avatar can be an effective mean for measuring the brand personality as a result of various tests for the validity. In condusion, avatar can be a more powerful tool than language for measuring the brand personality.

• Journal of Intelligence and Information Systems
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• v.14 no.1
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• pp.1-17
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• 2008

Data mining is defined as the process of discovering meaningful and useful pattern in large volumes of data. In particular, finding associations rules between items in a database of customer transactions has become an important thing. Some data structures and algorithms had been proposed for storing meaningful information compressed from an original database to find frequent itemsets since Apriori algorithm. Though existing method find all association rules, we must have a lot of process to analyze association rules because there are too many rules. In this paper, we propose a new data structure, called a Frequent Pattern Network (FPN), which represents items as vertices and 2-itemsets as edges of the network. In order to utilize FPN, We constitute FPN using item's frequency. And then we use a clustering method to group the vertices on the network into clusters so that the intracluster similarity is maximized and the intercluster similarity is minimized. We generate association rules based on clusters. Our experiments showed accuracy of clustering items on the network using confidence, correlation and edge weight similarity methods. And We generated association rules using clusters and compare traditional and our method. From the results, the confidence similarity had a strong influence than others on the frequent pattern network. And FPN had a flexibility to minimum support value.

• Journal of Distribution Science
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• v.12 no.4
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• pp.23-30
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• 2014

Purpose - The purpose of this study is to analyze the efficiency of retail businesses by dividing domestic retailers into discount stores, super supermarkets (SSMs), and department stores. It suggests retail-business investment strategies by using data environment analysis (DEA) to analyze how input elements such as store area, parking lot area, number of employees, and sales management expenses for the convenience of customers positively affect business performance measurements such as sales and visiting customers per day. Research Design, Data, and Methodology - The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU). The study included 19 companies (five discount store DMUs, ten SSM DMUs, and four department store DMUs). Because the business elements and sizes of retail store DMUs used in this analysis are different, average per-store input and output variables were used. Data were collected from "The Yearbook of Retail Industry in Korea (2012)." DEA analysis was used to determine differences in efficiency among discount stores, SSMs, and department stores in terms of the business elements of each retail business. It was also used to determine what business elements were excessively invested in by comparing and analyzing efficiency by business elements using SPSS software's ANOVA (Analysis of Variance). Results - The CCR and BCC efficiency analysis found that the efficiency of discount stores is low. We believe that the saturation state of discount stores is a major factor. The ANOVA analysis confirms the VRS hypothesis with a statistically significant difference among the three groups, based on an analysis confidence interval of 95%. CRS and SE were not found to be significantly different among the three groups. As for the post hoc test, which concretely shows differences by group, the Scheffe's multiple comparison analysis test found the average differences between group 1 (discount stores) and group 2 (SSM) to be statistically significant. Conclusions - The DEA efficiency analysis implies that investment in input elements, including store area, parking lot area, and sales management expenses, were excessive in the case of discount stores, while SSMs need to invest more in promotion activities such as gifts, events, and coupons for customer management. Department stores have found that small companies invest excessively in input elements. Department stores need to invest in differentiated shopping mall complexes. This study was limited in acquiring statistical data; various input variables which might have shown more secure customer management and promotional expenses could not be applied. As the study was limited in various aspects of the efficiency analyses because financial analyses of the companies and of causal relationships, including satisfaction and loyalty of visiting customers, were not done, these aspects will be examined in the next study.