• Journal of the Korea Safety Management & Science
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• v.3 no.4
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• pp.181-191
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• 2001

Integrated Supply Chain Management is a important subject for all enterprise activities as include logistics/sales, transfer and storage, manufacturing, purchasing of materials. A recent customer wants to receive high level service of all parts as Qualify, Delivery, Cost and Product. Therefore, Enterprise effort to supply for customers needs use some techniques like Data Mining, POS, MIS. Inventory and Logistics cost is the highest expense of all cost from first supplier to final customer on supply routine. So, SCM's basic purpose is reduce to that cost. So that this paper explain necessary, background, concept of SCM, analyze several using methodology and function of main SCM solution, after propose to ATP model include arithmetic procedure, functions, input data for determines available due date.

• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.24-36
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• 2004

In order for electronic commerce to be successful, it must have a theoretical framework that considers the characteristics of the internet user who are consumers in the cyber space and impacts their purchase intentions. We were able to obtain participations of 316 people, and derived statistics by means of SPSS/PC version 10.0 and Amos 4.0 statistics package. We found that, the higher the degree of skill and the sense of challenge, the level of involvement and perceived service quality increased. And the degree of skill has a negative influence on awareness of perceived risk than the sense of challenge. Perceived service quality, perceived risk and involvement has a influence on purchase intentions.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.201-206
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• 2005

Our goal is aimed at positive-analyzing how quality level of mobile banking service is composed of by 22 questions from SERVQUAL of existing PZB. As a result of positive-analysis, 4 different factors-reliability, empathy, tangibilities, assurance- were deduced, different with 5 levels. Responsiveness is absorbed other dimensions. Also, we tried to find out the appropriate method between SERVQUAL method, showing the difference between the consumers' expectations and the assessment of the actual performance, and model of SERVPERF, measuring performance recognized points while dealing with the concept of SERVQUAL to scale the service qualities of mobile banking.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.158-177
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• 2024

This paper proposes and tests a theoretical model of the relational link between a novel form of customer-perceived fairness for a reward design (distributive peer justice climate) and C2C helping intention via community identification and online C2C interaction (friend-, neighboring customer-, audience-interaction) qualities in a collective consumption context (MMORPG). To test hypotheses, we amassed survey data within a collective consumption context (massively multiplayer online role-playing games, MMORPGs). We used structural equation modeling in analyzing the survey data. The results reveal that user-perceived distributive peer justice climate for a reward design enhances their C2C helping intention via community identification and C2C interactions in MMORPG contexts. Collective consumption-type service managers should focus on promoting the user-perceived distributive peer justice climate for their reward system to enhance users' present C2C co-creation experience (community identification, C2C interaction) and future C2C co-creation behavior (helping intention). By adopting an intra-unit level distributive justice concept (customer-perceived distributive peer justice climate) to a reward design in a collective consumption context (MMORPGs), this study informed collective consumption-type service managers of the importance of its management.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1229-1236
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• 2006

Group oriented multicast service is a prerequisite for the current application system for remote lecture and customer service. IP multicast is used to be generally accepted as an internet standard. IP multicast which is designed to support network based replication model can efficiently use host and network resource, however it has some weak points that it has to support IP multicast in the internet by adding multicast-capable internet infrastructure such as router and is vulnerable to security by using public IP address for group identifier. Therefore we propose the trigger based application level multicast model that can enhance both scalability and security by separating the functions, which send and receive message to solve these problems. Our suggested model is expected to ensure the promotion of quality of service and reliability.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.1025-1032
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• 2021

The study investigates factors affecting the loyalty of Food Delivery Application (FDA) service in Thailand. This study employs quantitative research methodology with a non-probability sampling method to draw 510 FDA samples from the FDA users in Thailand. The online questionnaires with a Cronbach's alpha coefficient of 0.886 were used as a research tool to collect data from samples. By using the Structural Equation Modeling (SEM) to analyze data, the results show that trustworthiness, social influence, system design, and task-technology fit affect the user's technology acceptance, which also show the significant relationship with the loyalty of FDA users in Thailand. The study checks the harmony with the statistics; χ2 = 258.686, df. =160, χ2/df. = 1.616, p-value = 0.050, CMIN/DF = 1.616, GFI = 0.960, AGFI = 0.969, TLI = 0.953, CFI = 0.965, RMSEA = 0.047, significant level at 0.05, along with testing the weight factor. In conclusion, the research model was harmonious with the empirical data at the significant level 0.05. The finding of this study suggested that the FDA service provider might apply this research finding to develop a greater understanding of the FDA's customer loyalty, as well as determine marketing strategies, identify opportunities, and create a competitive advantage in the future.

• Asia pacific journal of information systems
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• v.12 no.1
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• pp.139-158
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• 2002

As the telecommunication market becomes mature in Korea, severe competition has already begun on the market. While service providers struggled for the last couple of years to acquire as many new customers as possible, nowadays they are making more efforts on retaining the current customers. The churn management by analyzing customers' demographic and transactional data becomes one of the key customer retention strategies which most companies pursue. However, the customer data analysis has still remained at the basic level in the industry, even though it has considerable potential as a tool for understanding customer behavior. This paper develops several churn prediction models using data mining techniques such as logistic regression, decision trees, and neural networks. For model-building, real data were used which were collected from one of the major telecommunication companies in Korea. This paper explores various ways of comparing model performance, while the hit ratio was mainly focused in the previous research. The comparison criteria used in this study include gain ratio, Kolmogorov-Smirnov statistics, distribution of the predicted values, and explanation ability. This paper also suggest some guidance for model selection in applying data mining techniques.

• Asian Journal of Business Environment
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• v.6 no.2
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• pp.15-22
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• 2016

Purpose - The purpose of this study is to measure the characteristics of the perceived quality of college students of 20s which is the main customers of whitening, and to investigate the customer satisfaction and repurchase intentions according to the perceived quality of whitening. Research design, data and methodology - The interviewers in the research are 300 college students in Seoul and the metropolitan area. They were collected from October 1 to October 24, 2013. 283 of collected questionnaires were used for the analysis. The analysis in the general characteristics of the subjects was analyzed by frequency analysis. With five-dimensional factor analysis, the perceived quality through reliability analysis was investigated and verified. Results - The results from analysis of the standardized coefficient Beta value were performance(0.382), brand (0.339), and price (0.318) as a high level. On the other hand, services(0.172) and design factors (0.162) were relatively low. Conclusion - Looking for these results, this study could reach the notion that a lot of consumers with whitening cosmetics highly recognized brand, performance, and price factors, but the service and design factors were relatively recognized low in customer satisfaction and repurchase intentions.

• The Journal of Economics, Marketing and Management
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• v.10 no.4
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• pp.1-12
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• 2022

Purpose: The purpose of this study is to explore how customers perceive virtual mirror technology in the 4th industrial revolution environment. In particular, this study investigated how virtual mirror technology affects customer satisfaction and intention to use that are rarely examined in previous studies. Research questions include how proposed variables including sensory stimulation, enjoyment, product quality, telepresence, interactivity, and immersion affect satisfaction and intention to use and how satisfaction affects intention to use. Research design, data and methodology: This study conducted an online survey and applied factor and regression analyses to test hypotheses. Results: The results of this study found that effects of sensory stimulation, telepresence, and immersion on satisfaction were significant, while effects of enjoyment, product quality, and immersion on intention to use were significant. Therefore, variables affecting satisfaction and intention to use were different, while effects of immersion were significant both on satisfaction and intention to use. Conclusions: This study concluded that the role of virtual mirror technology helps customers determine product quality and increase satisfaction level, while it also helps customers enjoy shopping and increase intent to use the service. The results of this study provide how to foster better relationship with customers by applying advanced technologies.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.75-91
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• 2022

This study assesses the Internet banking adoption tendency by existing bank customers of Bangladesh. Currently, almost all the leading banks in the country have implemented Internet banking platforms. However, the active user count remains relatively low and there hasn't been any conclusive research on the drivers and inhibitors of Internet banking. This study evaluates the reasons and quantitatively establishes the factors leading to the adoption and usage continuance of internet banking by existing bank customers. Responses from 460 bank account holders were collected via online questionnaires using a purposive sampling approach, and a core conceptual framework based on Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) was used. The study concluded that internet banking adoption is significantly impacted by the ease of use, customer service, and technology familiarity. Similarly, customer satisfaction is affected by the perceived value and the perceived risk. Through regression analysis, it was found that usage continuance is 89% explained by adoption and customer satisfaction. Multi-group moderation showed significant impact by groups divided based on usage frequency, income level, and age. Perceived risk weakened the impact of perceived value and technology familiarity on usage adoption. Additionally, perceived risk reduced the impact of consumer satisfaction and usage continuance.