• Journal of Korean Society for Quality Management
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• v.18 no.1
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• pp.21-28
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• 1990

In this paper, the capacity of system which provides the real time response call service to the customer is studied. The quality of call service depends on the response time of the service in the system. Therefore, the focus of this paper is to investigate the capacity of system under the restriction of response time. In this paper, the system is modeled by queueing network. The analytical method is applied to solve this queueing network. The solution of the model has product form solution. To get the reasonable capacities, nonlinear programming problem is formulated and is solved by GINO.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.55-70
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• 2017

A key factor of competitiveness of a firm is technology innovation including product and process innovation. This paper explores the importance and performance of innovation in IT industry across manufacturing and service business. Using importance-performance analysis based on a survey of Korean manufacturing and service firms, we find the characteristics of innovation in IT under the context of industry difference. Out study indicate that Korean IT firms need to recognize the importance of technology innovation and enhance the performance in some areas. In future research, we will expand the boundary of innovation into non-technology innovation as well as service-specific innovation.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.269-285
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• 2008

Design productivity can't be easily measured since there are so many different design productivity factors but such a few meaningful design product units. It's very difficult to evaluate the performance of design activities. Performance measures are not defined easily and are not measured correctly in many cases. So, in this paper the value added productivity is used to measure and analyze design productivity. Some issues are analysed to assess real productivity level of Korean service industry. And then we propose a few ways to Improve design productivity including the use of scientific approach at design processes and the change of the industry structure. It seems that the higher the level of IT(Information Technology) usage at a design industry is, the higher the design productivity is. Further research will be needed to investigate scientific approaches to increase design productivity.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.4
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• pp.639-656
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• 2020

Consumers' shopping experience has recently expanded to mobile and social networks; in addition, online fashion retailers started to focus on real-time interaction services as an emerging marketing tool. This study explores the consumer' shopping experience based on social live streaming services (SLSS) to investigate consumer's response behavior and effects through perceived service quality. An online survey method was conducted and a total of 186 female consumer panels were collected. The results indicate that cognitive communion of co-experience had a significant effect on perceived SLSS service quality (responsiveness, contents informativeness, playfulness, system availability). Service quality of SLSS (responsiveness, contents informativeness, and playfulness) had significant effect on trust in SLSS seller while system availability had no significant effect. Also, trust in seller showed significant effect on purchase intention. Last, it was confirmed that the moderating effect of purchasing experience of SLSS was significant in the relationship between cognitive communion and responsiveness/playfulness. There was also an additional significant moderating effect of purchasing experience between system availability and trust in seller.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.117-137
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• 2008

Using the service innovation system model, the development of Korean online game industry is analyzed. The model proposed by Gallouj (2002) is modified in order to reflect IT service characteristics such as network externalities. Success factors and innovations patterns of Korean online game industry are examined. First, at the early stage of her growth, Korean online game industry was not supported or coordinated by any Government policies unlike DRAM, CDMA or TFT-LCD. Many parts of technical and service innovations were unintentionally initiated by online game developing ventures without predeterminde strategies. Second, the online game industry is basically a service industry so that users' needs and technical and service characteristics are intertwined to produce innovation. The innovation system of the online game industry is quite different from conventional product technological innovation systems in a sense that there are no blueprints for innovation as well as major players in the system. Third, Government's policies for promotion of IT industry such as the broadband infrastructure installation policy, the hi-tech venture promotion policy and the military exemption policy contributed greatly to development of the online game industry. However, these policy tools were not intended for online game industry but in the end gave a great impact on the service innovation system of the online game industry.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.187-195
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• 2019

The purpose of this study is to analyze the adoption of Kakao Bank in terms of benefits (functional, social, experiential, economic benefits) and differentiated services (customization and service diversity) considering service types. Benefits are personal value consumers attach to the product or service attributes and, therefore, more important than attributes of service itself when using Kakao Bank in the internet based environment. Data was collected using an online and offline survey of 131 Kakao Bank users and analyzed the data using structural equation model (SEM). The results of empirical analysis using SmartPLS show that functional benefit, experiential benefit, and customization are significantly related to the user's satisfaction, but economic benefits, social benefit, and service variety are not. Customer's satisfaction are also showed significantly to be related to the all types of Kakao Bank usage(balance check, transfer, and other services). This study has the significance in that it examines the user's satisfaction and usage of Kakao Bank in terms of benefits and differentiated services while other studies analyzed banking services focusing on the attributes of banking channel itself.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.43-62
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• 2022

As the used trading market grows centered on online platforms, it is evolving from practical consumption to pursuing various forms of consumption value. Consumers purchase rare products, enjoy the transaction itself with consumers with the same preference, and investment or eco-friendly value consumption is also increasing. In this regard, the transaction of the second-hand transaction app service must have sincerity in order to respond to various consumption values. In addition, it is necessary to study what components the second-hand trading app service should aim for to secure authenticity and how the usefulness and ease of second-hand trading apps affect the relationship. The research used a questionnaire method to test hypotheses and surveyed 215 consumers in their 20s, 30s, and 40s who had purchased used clothing online within a year. Among them, 200 responses, excluding outliers, were statistically analyzed using SPSS 21.0 and AMOS 22.0 as confirmatory factor analysis and structural equation models. This study aims to determine the effect of the authenticity of the online used trading app service on the satisfaction of the used trading app service. To this end, based on the previous research results, the following research hypotheses were established and verified statistically. First, the authenticity of the online used trading app service will significantly impact the satisfaction of the used trading app service. Second, the usefulness of the used trading app service will have a moderating effect on the effect of the authenticity of the used trading app service on the satisfaction of the used trading app service. Third, the ease of the used trading app service will have a moderating effect on the authenticity of the used trading app service on the satisfaction of the used trading app service. As a result of the study, the authenticity of the used trading app service significantly affected the satisfaction of the used trading app service. Appeared to be The results of this study will help understand used transaction app services where consumption of used products occurs from the viewpoint of product circular use behavior and can be used as a strategic plan to promote the use of used transaction apps in the future.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.93-98
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• 1998

Recently, consumers are tend to purchase the user-centered designed product using interface enginnering and human factors techniques. Therefore, it is important that the designer's requirements should be analyzed focused on the human machine interface. This paper described the interface usability evaluation technique(suvjective evaluation) for the interface between user and product. This methodology is the integrated interface usbility evaluation method AHP and Conjoint Analysis. AHP(Analytic Hierarchy Process) is a multicriteria decision model to give priority after expressing hierarchically for decision making problem. Conjoint Analysis enduavors to unravel the value, or partworths, that consumers place on the product or service's attributes from experimental subjects' evluation of profiles based on hypothetical products or services. A new usability test methodology proposed by this paper includes techniques jointed both consistency test by AHP and experimental subjective evaluation of profiles by Conjoint Analysis for evaluating the user's emotion and impression.

• Journal of the Korean Society of Costume
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• v.51 no.3
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• pp.51-58
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• 2001

The purpose of this study was to investigate the effects of store image preferences on clothing impulse purchasing of male college students. The sample included 290 male college students, and an instrument was developed based on the previous studies. The statistical analyses used for this study were factor analysis and multiple regression. The result of factor analysis showed that store image preferences consisted of five factors : promotion, display, service, product, brand preferences. Clothing impulse purchasing consisted of product-driven impulse purchasing, situation-driven impulse purchasing, emotion-driven impulse purchasing. Multiple regression revealed that there were significant effects of store image preferences on dimensions of clothing impulse purchasing. For example, promotion preference factor had a positive impact on product-driven impulse purchasing and situation-driven impulse purchasing, but had a negative impact on emotion-driven impulse purchasing. The relative importance of store image preference factors were different according to different dimensions of clothing impulse purchasing.