• Journal of Digital Convergence
• /
• v.18 no.11
• /
• pp.99-109
• /
• 2020

Paid membership is a useful marketing method that can acquire long-term customers. This study benchmarked representative overseas memberships, Amazon Prime, Alibaba 88 Membership, and Rakuten Super Point, so that domestic shopping platform companies can refer to launch the paid membership. The membership services have in common: economic benefits, convenient experiences, and discriminatory treatment. Domestic companies should set the core customer value they want to deliver to consumers and organize the benefits so that paid membership can be operated from a long-term perspective. This study has a high practical contribution and it is necessary to conduct an empirical analysis of experts and a customer user survey in the future.

• KDI Journal of Economic Policy
• /
• v.25 no.2
• /
• pp.89-135
• /
• 2003

The paper tests the hypothesis that Internet banking reduces cost and ultimately enhances profitability for banks. Our analysis suggests that Internet banking does contribute to cost reduction but does not affect profitability. The implications are that the primary objective of Internet banking has been accomplished, but has not reached the stage in which the benefits overcome the burden of initial investment. The findings also offer the implication that Internet banking probably raises social welfare by passing on the benefit of cost reduction to customers rather than resulting in enhanced profits. In addition, we find that the banking customer's preference for face-to-face transactions may be very low in Korea, which supports the hypothesis that the cost in securing a customer base will be reduced significantly.

• Journal of Broadcast Engineering
• /
• v.13 no.3
• /
• pp.319-327
• /
• 2008

The purpose of study is to investigate the customer oriented transaction environment for the customers' convenience, the plan of public policy in regard to the customer oriented T-Commerce, and the consumption pattern of customers' commercial transaction, necessary for the marketing strategy by analyzing the demand for the T-Commerce with the purchase intention and maximum willingness to pay according to the demographic factors, the pattern of commercial transaction, and the technology innovation types. The results showed that there were statistically significant relations between consumer's willingness price to pay for the T-commerce and the consumer's technology adoption types, monthly internet shopping amounts, and weekly TV-home shopping hours. The simulations on a basis of multiple regression analysis for the T-commerce were illustrated by those factors.

• Journal of Communications and Networks
• /
• v.14 no.3
• /
• pp.336-345
• /
• 2012

Autonomous system (AS) business relationships and their inference have been widely studied by network researchers in the past. An important application of inferred AS relationships can be the prediction of AS paths between a source and destination AS within a model. However, besides knowing the topology and inferred AS relationships, AS path prediction within a model needs to be understood in order for us to know how we can derive border gateway protocol (BGP) policies from AS relationships. In this paper, we shed light onto the predictive capabilities of AS relationships by investigating whether they can be translated into BGP policies such that inferred AS paths are consistent with real AS paths, e.g., paths observed from BGP routing tables. Our findings indicate that enforcing constraints such as the well-known valley-free property and the widely assumed preference of customer routes always results in a very low consistency for AS path inference. In addition, this is true irrespective of whether customer, peer, or provider routes are preferred. Apparently, applying such constraints eliminates many "correct" paths that are observed in BGP routing tables and that are propagated in a simple shortest path model where AS relationships are ignored. According to our findings, deriving BGP routing policies for predicting with high accuracy AS paths in a model directly from AS relationships is still difficult.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.6
• /
• pp.847-858
• /
• 2005

The purpose of this study was to examine consumer purchasing behavior of the online shoppers particularly using online clothing shopping mall and to analyze the key factors of both satisfaction and dissatisfaction of their purchase and to compare the both group by lifestyle segmentation in order to provide the e-CRM strategies. Focus group interviews and survey were conducted in December, 2003 with 30 online shoppers who have an experience of online clothing purchasing. The data analysis included the content analysis, descriptive statistics, K-means and factor analysis. Key findings of the study were as follows: First, online shoppers spent average 3.5 hours on internet and usually purchased clothing while surfing the web. Second, consumers were satisfied with reasonable price and customized service but dissatisfied with delayed delivery, limited product availability in both size and color and return policy. Third, according to the lifestyle segmentation, online shoppers could be characterized as 'Luxurious', 'Trendy' and 'Prudent' 'Luxury-oriented consumers', who value fashion, diet and social activity, tended to purchase basic yet high quality products. However, 'Trend-oriented consumers', to whom fashion trend was most important, purchased various latest fashion products with reasonable price and showed generally positive response to emails sent by e-retailers. And lastly 'Prudence-oriented consumers', whose buying decision was based solely on practicality, appeared to be reluctant to purchase clothing online while seeking more credible information and competitive price. In conclusion, this study has its significance in that it helps promote relationships between customers and e-retailers by providing differentiated e-CRM strategies through each customer groups 'lifestyle segmentation and consumer purchasing behavior analysis.

• Journal of Digital Convergence
• /
• v.14 no.2
• /
• pp.169-173
• /
• 2016

With the rapid growth of IT technology and development of online shopping, e-commerce activity through online environment is going to grow in various forms. And then the intense competition also more deepen in the companies within the online market. The study on the various contents production and environment configuration for sale strategies has been made. Among online market products, it is needed to develop marketing strategies for online sales related to rings products. In this paper, through the analysis of online content and components of companies, it has obtained the appropriate components in the ring industry. In particular, aiming to young customers, we looked about components suitable for them and built site. As a result based on the above analysis, we anticipate that it will be able to see forward to a competitive ring marketing.

• Journal of Korea Society of Industrial Information Systems
• /
• v.23 no.5
• /
• pp.19-32
• /
• 2018

This study focuses on an M/M/1 queue with an attached continuous-type inventory. The customers arrive into the system according to the Poisson process, and are served in their arrival order; i.e., first-come-first-served. The service times are assumed to be independent and identically distributed exponential random variable. At a service completion epoch, the customer consumes a random amount of inventory. The inventory is controlled by the traditional (s, S)-inventory policy with a generally distributed lead time. A customer that arrives during a stock-out period assumed to be lost. For the number of customers and the inventory size, we derive a product-form stationary joint probability distribution and provide some numerical examples. Besides, an operational strategy for the inventory that minimizes the long-term cost will also be discussed.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.40 no.2
• /
• pp.137-144
• /
• 2017

The business process of global third party logistics company is defined as a network of logistics activities which involves the products that are manufactured in the developing countries, such as Vietnam, China and so on, and delivered to North or South American countries via intermediate stopover sites. The third party logistics company usually uses proprietary logistics information system to support the related logistics activities. However, each consignor sometimes may require different business process based on the customer type or characteristics of their products. Therefore, the third party logistics company need to modify their business process to reflect customer's requirements, resulting in the modification of logistic information systems and additional costs. Therefore, a flexible mechanism is required to efficiently support the various types of requirements by the owners of the products. In this paper, first, we figured out various business rules related to third party global logistics activities. Second, we grouped the identified business rules into business processes, objects, relations, dependency, policy, representations, execution, and resources and further into precondition, postcondition, and invariant based on checking point in time. Furthermore, the categorized rules are classified into inter-activity and intra-activity rules based on the execution range. Third, we proposed a rule syntax to describe the defined rules into scripts which are understood by user and information system together. When each activity is executed, the rule manager checks whether there are rules related with the activity execution. Finally, we developed a prototype rule management system to show the feasibility of our proposed methodology and to validate it with an example.

• Journal of Digital Convergence
• /
• v.13 no.3
• /
• pp.19-29
• /
• 2015

This study is to evaluate the public drinking water service systematically, to improve customer satisfaction level, also overcoming the limitations of the existing method often relying on the satisfaction measurement subjectively. Thorough the rigid quality control of the service and its effect on civil affairs administration, we conclude that quality of the public service has an influences on the customers' satisfaction, which play a role to intensify the confidence and support of the civil administration by its appropriate management. Thus quality control management itself has its own value in that the satisfaction and confidence of the service result from the quality. The new model can be utilized as a Service Quality Index for the public drinking water service. To enhance the customers' satisfaction and confidence of the water suppliers, it is very useful that they reflect the customers' needs exactly through the service quality control regularly.

• Journal of Digital Convergence
• /
• v.14 no.3
• /
• pp.171-179
• /
• 2016

The purpose of this study is to deduce a successful business model of fintech and suggest the business model component in fintech on domestics. Business model has suggested on a strategic levels but it is to a value of corporation. From literature research, we find a conceptual character and its component of business model. The results show that we understand the business model of fintech. We suggest business model of component for a successful entry of market. These results suggest business model canvas by Alexander Osterwalder. This business model consist of 9 blocks - customer segmentation, value proposition, customer relationship, key resource, key activity, key partnership, revenue stream, and cost structure. These components need an analytic approach for a successful entry and settlement of market. Also, we analyze and suggest a fintech business model and directivity of its components.