• ETRI Journal
• /
• v.35 no.2
• /
• pp.321-331
• /
• 2013

High-tech markets are unpredictable owing to rapid technology innovation, diverse customer needs, high competition, and other elements. Many scholars have attempted to explain the uncertainty in high-tech markets using their own various approaches. However, sufficiently clear ways to predict diverse changes and trends in high-tech markets have yet to be presented. Thus, this paper proposes a new approach model, that is, systematic market segmentation, to give more accurate information. Using an empirical dataset from the mobile handset market in the Republic of Korea, we conduct our research model consisting of three steps. First, we categorize nine basic segments. Second, we test the stability of these segments. Finally, we profile the characteristics of the customers and products. We conclude that the approach is able to offer more diagnostic information to both practitioners and scholars. It is expected to provide rich information for an appropriate marketing mix in practice.

• Proceedings of the Safety Management and Science Conference
• /
• 2007.04a
• /
• pp.73-80
• /
• 2007

Recently, the strategy of the age of limitless competition for existence of manufacturing company appears for the enhancement of productivity through the automatic system, the reduction for the cost for standardization and the decision making process for the information system. Especially the critical success factors in manufacturing company can be summarized for the establishment of production visibility through the production management, material & work-in-process management, the establish of the flexible manufacturing system for the changed order priority and the establish of the quality system for improvement of product and process quality. The existing production management systems supply only simple information about production results on real time, can delay quick decision making. And it can prevent acquiring the information about various customer needs and the communication problems with other systems. In this paper, it will show MES system, a solution for the problems of existing production management systems. And through a case study of D company, it will reveal improvement effect on shipment error using MES system and economic analysis for MES itself.

• Journal of the Ergonomics Society of Korea
• /
• v.27 no.4
• /
• pp.103-108
• /
• 2008

The aim of this paper is to improve the design of a pair of axilla crutches through quality function deployment(QFD) and discomfort experiments. User needs for the crutches, as well as the engineering characteristics which have influence on the ergonomic quality of crutches were determined from the interview with many users. This information was entered in the house of quality, and the results show that the axillary pad and grip are the most important quality factors. And the results from the discomfort experiments confirmed the QFD output. A prototype reflecting the QFD results was proposed. The present study demonstrated how QFD approach can be a methodological tool geared to greater ergonomics consideration in product design.

• Industrial Engineering and Management Systems
• /
• v.2 no.1
• /
• pp.55-62
• /
• 2003

This paper deals with the difficulties involved in analyzing and designing a management system to reduce the risks and improve the productivity of new product development. In this paper, a method is described to analyze user information and determine product specifications based on a stimulus-response model, the conjoint measurement of users needs, and product characteristics deployment. The proposed method can analyze the effect of a partial price on the contribution ratio based on the order of preference of product profiles through a smaller number of product profiles. The strengths and weaknesses of this method are examined as the method is applied to the case study of a mobile computer intended for personal use.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2007.11a
• /
• pp.452-453
• /
• 2007

In this work, enhanced simulation is proposed by using impedance spectroscopy. The impedance spectroscopy is one of the popular methods to measure the electrical property of Organic Light Emitting Diodes. The results show that the equivalent circuit needs a inductance element linked by serial connection and the element of resistance is more important role to decide the electrical property.

• Journal of Fashion Business
• /
• v.14 no.6
• /
• pp.134-145
• /
• 2010

The purpose of this study is 1) to investigate the contents of fashion brand applications and what differences and 2) to scrutinize the reviews of the applications uploaded on the app store in order to suggest strategies on how to apply them to fashion. For the study, twenty-nine free applications from different categories of the fashion brands and three hundred sixty-two reviews of these applications were investigated. The analysis of the study was conducted from June 20th to November 10th of 2010. The results showed that there are four important components for fashion brand applications: conventional information (product information and store information), the purchasing function, the fun element (social networking, blogging, music etc), and the augmented reality technique. These components are formulated based on the brand's marketing strategies. In order to know whether or not these components were successfully composed, user reviews were studied, which revealed that many users were satisfied, but the applications were insufficient to meet all of their needs.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2022.11a
• /
• pp.112-115
• /
• 2022

The process of deep learning usually needs to deal with massive data which has greatly limited the development of deep learning technologies today. Convolutional Neural Network (CNN) structure is often used to solve image classification problems. However, a large number of images may be required in order to train an image in CNN, which is a heavy burden for existing computer systems to handle. If the image data can be compressed under the premise that the computer hardware system remains unchanged, it is possible to train more datasets in deep learning. However, image compression usually adopts the form of lossy compression, which will lose part of the image information. If the lost information is key information, it may affect learning performance. In this paper, we will analyze the effect of image compression on deep learning performance on CNN-based cat and dog classification. Through the experiment results, we conclude that the compression of images does not have a significant impact on the accuracy of deep learning.

• Journal of Information Processing Systems
• /
• v.19 no.3
• /
• pp.302-309
• /
• 2023

Artificial intelligence (AI) plays a crucial role in the intelligent development of China's power system. It is also an important part of the digital development of the power grid. The development of AI determines whether the digital transformation of China's power system can be successfully implemented. Therefore, this paper discusses the digital transformation of the power grid based on AI technologies. The author has established a digital evaluation index system to reflect the development of the power grid in one province. Both qualitative and quantitative methods have been adopted in the analysis, which delves into the economic effectiveness, quality, and coordination of power grid development in the province in a comprehensive way. Results show that, to meet the needs of the power grid's digital transformation, the correlation coefficient between the power grid's development and the province's overall coordination has been increasing in recent years.

• Asia pacific journal of information systems
• /
• v.30 no.1
• /
• pp.72-93
• /
• 2020

With the proliferation of smart devices, mobile banking has become increasingly important. Customers can manage their banking needs without desktop computers or a face-to-face meeting with bank tellers. However, contrary to expectation of wide-spread use of mobile banking, several factors restrict its adoption. The purpose of this study is to explore what factors affect positively or negatively the adoption of mobile banking from economic (operational competence, convenience, mental accounting), psychological (hope, self-efficacy, optimism, resiliency) and social perspectives (normative social pressure, embarrassment avoidance). This paper suggests that three enablers would consequently affect a customer's perceived utilitarian and hedonic value in mobile banking, followed by trust and intention to use. In testing the hypothesized research model, survey and analysis of a structural equation model using Amos are conducted. The findings emphasize that banks need to focus on perceived utilitarian and hedonic values when considering economic, psychological and social enablers most salient to customers in order to promote greater adoption of mobile banking services.

• Asia pacific journal of information systems
• /
• v.18 no.3
• /
• pp.45-65
• /
• 2008

The rapid growth of the Internet has increased the amount of transmission of personally identifiable information. At the same time, with new Internet related technologies, organizations are trying to collect and access more personal information than before, which in turn makes individuals concern more about their information privacy. For their successful businesses, organizations have tried to alleviate these concerns in two ways: (1) by offering privacy policies that promise certain level of privacy protection; (2) by offering benefits such as financial gains or convenience. In this paper, we interpret these actions in the context of the information processing theory of motivation. This paper follows Hann et al.(2007)'s methods to analyze Internet users privacy concerns in Korea and tries to compare the findings. Our research objectives are as follows: First, we analyze privacy concern mitigation strategies in the framework of the expectancy theory of motivation. Subsequently, we show how the expectancy theory based framework is linked o the conjoint analysis. We empirically validate the predictions that the means to mitigate privacy concerns are associated with positive valences resulting in an increase in motivational score. In order to accommodate real-life contexts, we investigate these means in trade-off situation, where an organization may only be able to offer partially complete privacy protection and/or promotions and/or convenience, While privacy protection (secondary use, improper access) are associated with positive valences, we also find that financial gains can significantly increase the individuals' motivational score of a website in Korea. One important implication of this empirical analysis is that organizations may possess means to actively manage the privacy concerns of Internet users. Our findings show that privacy policies are valued by users in Korea just as in the US or Singapore. Hence, organizations can capitalize on this, by stating their privacy policy more prominently. Also organizations would better think of strategies or means that may increase online users' willingness to provide personal information. Since financial incentives also significantly increase the individuals' motivational score of website participation, we can quantify the value of website privacy protection in terms of monetary gains. We find that Korean Internet users value the total privacy protection (protection against errors, improper access, and secondary use of personal information) as worthy as KW 25,550, which is about US 28. Having done this conjoint analysis, we next adopt cluster analysis methodology. We identify two distinct segments of Korea's internet users-privacy guardians and information sellers, and convenience seekers. The immediate implication of our study is that firms with online presence must differentiate their services to serve these distinct segments to best meet the needs of segments with differing trade-offs between money and privacy concerns. Information sellers are distinguished from privacy guardians by prior experience of information provision, To the extent that businesses cannot observe an individual's prior experience, they must use indirect methods to induce segmentation by self-selection as suggested in classic economics literature of price discrimination, Businesses could use monetary rewards to attract information sellers to provide personal information. One step forward from the societal trends that emphasize the need of legal protection of information privacy, our study wants to encourage organizations and related authorities to have the viewpoints to consider both importance of privacy protection and the necessity of information trade for the growth of e-commerce.