• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.405-421
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• 2004

The digital government is one of the most significant areas of study to emerge in information science in the past several years. The digital government is, in broad terms, a computerized system that allows a community of users to obtain a coherent means of access to an organized, electronically stored repository of information and knowledge. The information resources and technologies embodied by the World Wide Web are now accepted ad the primary example of the digital government. The need exists for a means to measure user success in the digital government. Because a digital government environment involves two broad functions?1) information search and retrieval and 2) interactivity with and through the medium-this research posits that measures of both of these functions will show positive correlation with user success.

• Journal of the Korea Safety Management & Science
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• v.10 no.3
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• pp.183-191
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• 2008

Many companies desperately effort to find out more effective management method to survive in keen competition. Jack welch of past GE's CEO had said that an excellent result of today's GE management is thanks to Six sigma work. Many korean companies are introduced Six sigma method in their management since late 1993. Six sigma uses a set of strategies, statistics and methods to improve the processes we use to do everything from designing to manufacturing a product from marketing products and services to providing business information to our internal and external customers. The purpose of this study is to overcome these problems and to help make an important decision in establishing introduction strategy by abstracting the reasons and success factors and result indices which are important sources for introducing Six sigma management.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.159-174
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• 2024

Recently, as demand for delivery services has increased rapidly due to COVID-19, the food service O2O(Online to Offline) platform has also grown significantly. This study aimed to verify the influencing factors on continuance use intention of O2O platform using the Information Service Success Model and Post Acceptance Model. An online survey was conducted on 379 consumers who used the food service O2O platform in the past six months, and the collected survey was analyzed using SPSS 26.0 and AMOS 24.0. As a result of the verification, in the influence relationship between the Information Service Success Model and Post Acceptance Model, system quality was found to have an effect on perceived usefulness, but information quality and service quality were rejected for perceived usefulness and were partially adopted, The rest were all found to have a significant effect. In the moderating effect according to the amount used, the intention to continue using was stronger when the group who spent more than 30,000 won was satisfied. These results support previous research on O2O platforms and provide academic implications as well as practical implications for practitioners in the food service industry.

• Journal of agricultural medicine and community health
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• v.32 no.3
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• pp.125-138
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• 2007

Objectives: This retrospective study is to identify related factors of treatment success of patients with tuberculosis at community health centers. Methods: The subjects of this study were 1,417 patients with tuberculosis treated in 28 community health centers. The predictors of tuberculosis treatment success were analyzed in terms of 2 areas, which were characteristics of patients and health centers(TB control program). The characteristics of patients consist of 2 factors, such as demographic & diagnosis and treatment. The present conditions of health centers consist of 3 factors, location of centers, resources, and community activities. Data were analysed using X2- test and logistic regression methods. Results: The significant differences between success group and failure group were sex(p=0.003), age(p=0.013), job(p=0.000), type of patients(p=0.001), past history(p=0.029), BCG injection(p=0.009), sputum culture examination(p=0.017), period of treatment(p=0.000), location of center(p=0.001), population per staff(p=0.015), FTE(p=0.027), education days of staff(p=0.005), BCG injection rate(p=0.001), case detection rate (p=0.003), and health education provision rate(p=0.044). Then these variables were analysed using logistic regression analysis. Significant positive factors of treatment success were occupation(95% CI:1.3-6.1), periods of treatment(95% CI:1.5-2.2), center in large city(95% CI:1.2-16.7), center in middle city(95% CI:2.1-24.3), job education related TB(95% CI:1.02-1.3), and BCG injection rate(95% CI:1.1-303.4). Significant negative factors of treatment success were male(95% CI:0.1-0.5) and treatment after default(95% CI:0.005-0.5). Conclusions: Tuberculosis is still one of serious diseases in Korea, because it causes highest mortality rate among OECD countries. This study may provide information to improve treatment effectiveness of tuberculosis at community health centers.

• Journal of Technology Innovation
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• v.6 no.1
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• pp.128-162
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• 1998

A continuous development of new products is the lifeblood for firms that hope to maintain competency in competitive environments. Ongoing success in these environments is dependent on whether the management can choose or can't chose the proper mix of new product development strategy, new product development process, and organizational structure. Rather than considering the interrelationship among these success factors, however, most previous studies of new products development have examined these issues individually. Moreover, because past research has been unidimensional in nature, there is a lack of knowledge about how new product development strategy, process, and structure could be linked up each other. Consequently, we have no complete perspective of the linkage among new product development strategy, process, structure, and performance. The purpose of this study is to examine the new product development strategy, process, and structure of firms, and explore the effect of each on performance as well as linkage among strategy, process, strategy and structure.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.28 no.6
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• pp.480-483
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• 2002

Treatments for restoring the function and esthetics of missing teeth include fixed bridge, partial denture, orthodontic movement, implantation and autotransplantation. However, there is no absolute indications for each techniques. Due to undevelopment of root and root resorption after autotransplantation, the success rate of autotransplantation over the past decades have been low. Recently. with the study on biological principles of the healing of periodontal ligament, the success rate of autotransplantation began to improve. We report the cases of successful autotransplantation which resulted in ideal healing of periodontal ligament, gingiva and alveolar bone.

• Journal of the Semiconductor & Display Technology
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• v.19 no.2
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• pp.100-104
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• 2020

Over the past several years, deep learning has been widely used for feature extraction in image and video for various applications such as object classification and facial recognition. This paper introduces an implantation of embedded Linux system for embossed digits recognition using CNN based deep learning methods. For this purpose, we implemented a coin recognition system based on deep learning with the Keras open source library on Raspberry PI. The performance evaluation has been made with the success rate of coin classification using the images captured with ultra-wide angle camera on Raspberry PI. The simulation result shows 98% of the success rate on average.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.240-249
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• 2014

This study aims to identify an assessment system based on multiple patent indices that can predict the likelihood of success in the commercialization of a patented technology in advance. In addition, we examine the effectiveness of our predictive model in identifying valuable technologies early on. We analyzed 3,063 secondary battery technologies patented in the US over the past 10 years. Our analysis identified 22 of the 25 most promising patented technologies, corresponding with the top 50% of industry-patented technologies that directly and indirectly succeeded in commercialization. These results support our claim that it is possible to identify attributes for the assessment of patent commercial potential to a significant degree. Our system presents a useful assessment index in the forecasting and determination of potential commercial success of patented technologies.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.42-48
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• 2022

Currently, the world is facing severe inflation due to Corona and the war in Ukraine, and it is causing a lot of difficulties for us. Companies are facing a lot of restrictions on their economic activities compared to the past due to supply chain problems and foreign exchange rates. In this situation, many countries have been implementing various smart factory promotion projects to secure competitiveness through productivity improvement in the manufacturing industry. In this study, the contents of smart factory promotion in major countries were reviewed, and problems raised about the implementation of smart factory in Korea, which are being implemented based on this, were described. It is most reasonable to judge the success of a smart factory by the achievement of the performance indicators presented at the time of the project. Therefore, based on the performance index of the business, which is a key factor in determining the success or failure of a smart factory, we investigated whether the company's smart factory promotion can be carried out successfully through examples

• Asia Marketing Journal
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• v.19 no.1
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• pp.1-17
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• 2017

Cause-related Marketing (CrM) has become an increasingly popular marketing approach over the past two decades. However, neither researchers nor organizations fully understand the determinants of a successful CrM partnership. This research fills this gap. Specifically, we employ the schema theory to explore circumstances in which the CrM alliance cannot achieve a success. We use a theoretical modeling approach to report that, when consumers' typicality-based cognitive process is assumed, the CrM activity with the partners' more-discrepant attribute profile cannot be evaluated favorably, but the attribute-level uncertainty about the CrM alliance is less likely to feedback to the two partners. Furthermore, we argue that, under the schema-plus-tag model, consumers may not like the CrM program with a similar attribute profile. Therefore, this CrM approach may fail. To our knowledge, we are the first to apply the schema theory to explain how a CrM alliance can achieve a success.