• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.954-957
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• 2007

The u-SCM to persue unification of the whole Supply Chain through ubiquitous computing and technical interface is raised its head for enterprise to secure endless competitive advantage and grow up constantly. This can be especially a matter of primary concern for business process elevation on various industry. The other side, The Traceability Service propelled both nationally and internationally is propelled specific industry to offer visibility and traceability of each manufacture on supply chain related to induce RFID, but standard Traceability Service Architecture isn't decided yet. This paper propose Model of Product Traceability Service which is based on EPCglobal Network to be the whole world standard architecture for the sake of efficient and perfect manufacture management on entire supply chain based on RFID.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.603-614
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• 2004

The purpose of this study was to investigate the criteria of evaluating clothing and web service on internet shopping malls related to consumers' shopping behavior, This study surveyed consumers who have an experience of buying products on the internet shopping mall and the questionnaire and judgment sampling was used. The subjects were 305 men and women living in the metropolitan area. Method of data analysis were factor analysis, t-test, ANOVA, Duncan test and descriptive statistics. The results were as follows: the items buy from the internet were t-shirts, blouses, knits, skirts and pants. The reasons for buying clothing on the internet were good prices, time saving, door-to-door delivery, while the reasons for not buying on the internet were worries about differences between the product shown on the screen and the actual one, quality guarantee, delivery accident and inconvenience in exchange and refund. Among the differences of clothing evaluation criteria according to internet shopping behavior, significant differences were found in the esthetic criteria and the quality performance criteria according to internet using hours, and in the esthetic criteria according to buying experiences. Among the differences of web service evaluation criteria according to internet shopping behavior, the differences among the groups were found in the reliance criteria, the product reference criteria, the order processing criteria and the handling after purchase criteria according to internet using hours. The significant differences were found in the handling after purchase criteria and the promotion$.$policy criteria according to buying experience, and in the promotion$.$policy criteria according to times of purchase.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.199-218
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• 2016

The purpose of this study is to investigate the determinants of consumer's repurchase intention in the foreign direct sales shopping malls, focusing on the Japanese customers. Research model of the study is composed of seven independent variables (price competitiveness, product diversity, reputation, country-of-origin image, ease of use, delivery service, after service), a mediating variable (trust) and a dependent variable (repurchase intention). The results of this study show that trust is an important factor affecting the repurchase intention of customers. Customers' trust is affected by the reputation, country-of-origin image, ease of use, delivery service, after service. However, price competitiveness and product diversity, which are hypothesized to affect the trust, are not statistically significant. This study will provide a basis for future research on the foreign direct sales area. In addition, it will provide practical information useful in launching and/or operating the foreign direct sales malls.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.1037-1040
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• 2008

In order to predict the remaining life of marine concrete structures under climatic loads, it is necessary to develop an analytical approach to predict the time and space dependent deterioration of concrete structures due to mainly chloride attack up to corrosion initiation and additional deterioration like cracking of cover concrete. This study aims to introduce FEM model for life-time simulation of concrete structures subjected to chloride attack. In order to consider uncertainties in materials as well as environmental parameters for the prediction, Monte Carlo Simulation is integrated in that FEM modeling for reliability-based remaining service life prediction. The paper is organized as follows: firstly general scheme for reliability-based remaining service life of concrete structures is introduced, then the FEM models for chloride penetration, corrosion product expansion and cover cracking are briefly explained, finally an example is demonstrated and the effects of localization of chloride concentration and corrosion product expansion on service life using above model are discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1563-1570
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• 2018

Internet of Things technology is rapidly becoming a reality in many parts of our lives through various product services, and product development especially in the field of smart home is being actively carried out. Most controllers for controlling various smart home products use smart phone applications. However, smart phone applications are not suitable as smart home controllers, contrary to smart home services that emphasize intelligence and convenience. In order to provide intelligent smart home service, intuitive form of smart home controller is needed, which enables integrated control of smart home device. Therefore, this paper proposes a smart home remote control that can control the Internet devices and services of objects. The proposed smart home remote control provides an environment where users can build a smart home service through the IFTTT(If This Then That) automated service platform.

• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.283-306
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• 2019

This study empirically analyzes the effects of non-technical innovation activities on employment growth. The study estimates the effects of organizational innovation and marketing innovation on employment growth using the data on manufacturing and service firms from the 2016 Korea Innovation Survey. The estimation results suggest that the detailed types of organizational innovation and marketing innovation have different effects on employment growth. In the case of organizational innovation, changes in business practices and changes in workplace organization do not have any significant impact on employment growth in both manufacturing and service firms. On the other hand, new external relationships have a positive employment effect in the manufacturing firms. Marketing innovations such as new methods in product placement and product promotion also have an effect of increasing employment in the manufacturing sector. However, the study finds that marketing innovation does not have any positive employment effect in the service firms.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.2
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• pp.59-72
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• 2022

The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.959-969
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• 2022

This study aims to explore the effect of quality factors and customer involvement on users' intention to purchase in the live-commerce context. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from live-commerce users. The quality factors of live-commerce were classified into contents, system, service, and show host characteristics, and customer involvement was analyzed by dividing it into product involvement and service involvement. The results showed that each quality factor of live-commerce had a significant positive effect on the intention to purchase. On the other hand, customer product involvement had a significant moderating effect on content and system quality, service involvement had a significant moderating effect on service and show host characteristics. The degree of each quality factor on intention to purchase was higher as customer involvement was higher. Theoretical and practical implications were drawn from these findings.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.73-93
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• 2012

In recent years, service delivery systems employing a self-service approach have been rapidly spreading. Since a self-service system provides a lower product price, it attracts more customers. However, some system managers are still hesitant to accept a self-service system, because there is no systematic model to predict its performance. Therefore, this research attempts to provide a systematic and quantitative model to predict the performance of a self-service system, focused specifically on a self-service gas station. Under this model, the traditional queuing theory was adopted to describe the general self-service process, but it is also assumed that some changes occur in both the customer arrival rate and the service performance rate. In particular, the price elasticity was introduced to capture the change in the customer arrival rate, and the existence of learning effect and helpers were assumed to design the changed service performance rate. Under these assumptions, a simulation model for a self-service gas station is established, and three performance measurements, such as average number of customers, average waiting time, and Utilization are observed, depending on the changes in price difference and helper-operating time. In this research, the optimal operation strategy for price differentiation and helper-operating time is proposed in accordance with the level of the customer learning rate. Although this research confines the scope of the study to the self-service gas station model, the results of this research can be applied to any type of self-service system.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.35-55
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• 2013

Information technology is a critical resource necessary for any company hoping to support and realize its strategic goals, which contribute to growth promotion and sustainable development. The selection of information technology and its strategic use are imperative for the enhanced performance of every aspect of company management, leading a wide range of companies to have invested continuously in information technology. Despite researchers, managers, and policy makers' keen interest in how information technology contributes to organizational performance, there is uncertainty and debate about the result of information technology investment. In other words, researchers and managers cannot easily identify the independent factors that can impact the investment performance of information technology. This is mainly owing to the fact that many factors, ranging from the internal components of a company, strategies, and external customers, are interconnected with the investment performance of information technology. Using an agent-based simulation technique, this research extracts factors expected to affect investment performance on information technology, simplifies the analyses of their relationship with economic modeling, and examines the performance dependent on changes in the factors. In terms of economic modeling, I expand the model that highlights the way in which product quality moderates the relationship between information technology investments and economic performance (Thatcher and Pingry, 2004) by considering the cost of information technology investment and the demand creation resulting from product quality enhancement. For quality enhancement and its consequences for demand creation, I apply the concept of information quality and decision-maker quality (Raghunathan, 1999). This concept implies that the investment on information technology improves the quality of information, which, in turn, improves decision quality and performance, thus enhancing the level of product or service quality. Additionally, I consider the effect of word of mouth among consumers, which creates new demand for a product or service through the information diffusion effect. This demand creation is analyzed with an agent-based simulation model that is widely used for network analyses. Results show that the investment on information technology enhances the quality of a company's product or service, which indirectly affects the economic performance of that company, particularly with regard to factors such as consumer surplus, company profit, and company productivity. Specifically, when a company makes its initial investment in information technology, the resultant increase in the quality of a company's product or service immediately has a positive effect on consumer surplus, but the investment cost has a negative effect on company productivity and profit. As time goes by, the enhancement of the quality of that company's product or service creates new consumer demand through the information diffusion effect. Finally, the new demand positively affects the company's profit and productivity. In terms of the investment strategy for information technology, this study's results also reveal that the selection of information technology needs to be based on analysis of service and the network effect of customers, and demonstrate that information technology implementation should fit into the company's business strategy. Specifically, if a company seeks the short-term enhancement of company performance, it needs to have a one-shot strategy (making a large investment at one time). On the other hand, if a company seeks a long-term sustainable profit structure, it needs to have a split strategy (making several small investments at different times). The findings from this study make several contributions to the literature. In terms of methodology, the study integrates both economic modeling and simulation technique in order to overcome the limitations of each methodology. It also indicates the mediating effect of product quality on the relationship between information technology and the performance of a company. Finally, it analyzes the effect of information technology investment strategies and information diffusion among consumers on the investment performance of information technology.