• Journal of Technology Innovation
• /
• v.22 no.2
• /
• pp.221-245
• /
• 2014

In the era of fierce global competition and short product life cycle, firms have been interested in the technology valuation to improve their competitiveness. As the technology valuation may become a key issue for countries and industries, the development of technology valuation method has become increasingly important. Thus, this study aims to suggest a novel method to assess technology value by applying conjoint analysis to bibilographic information of patent. For this purpose, we firstly identified nine patent indexes categorized in three attributes - technological superiority, marketability and legal rights. Then, we collected actual data on patent transactions including their patent attributes and market prices. Based on the data, we could obtain the patent index values. Finally, we applied conjoint analysis to the prices and patent index values as a basis for technology valuation. The suggested method is expected to be an effective tool for technology valuation by using real transaction data rather than relying heavily on experts assessment.

• Journal of the Economic Geographical Society of Korea
• /
• v.15 no.1
• /
• pp.77-94
• /
• 2012

The purpose of this study is to analyze the process of vertical fragmentation of regional industries in Korea using Revealed Comparative Advantage index (RCA) and Average Propagation Length (APL). First of all, the competitiveness in regional export and substitution of regional imports were strong in the Electricity, Gas, and Water supply sector in Gyeongnam, and consumer-oriented Manufacturing sector in Incheon, Gyeongnam, and Gwangju. The high values of the APL were also found in the regions with common similarity with respect to the industrial structure and the sectors with indirect effects. In addition, the industrial sectors with high quality of infrastructure, and endowed services tended to be located in the beginning of the production chain. FInally, since manufacturing and service sectors in Seoul has higher APL, they could lead the growth of other related industries as key sectors, in the production fragmentation.

• Quality Improvement in Health Care
• /
• v.3 no.1
• /
• pp.104-124
• /
• 1996

Background : In these days, the health care organizations have concerned about customer-centered care in order to empower the competitiveness on the health care markets. The departments working for quality management of the hospitals have used health care quality indicators in terms of medical areas as well as service areas of the hospitals. However, there were insufficient efforts to develop the credible measurement to seek the customers' needs, their expectations and their satisfaction levels related to health care services because various kinds of challenges were in the process of scale development to measure customers' satisfaction in health care. The purpose of this study was to develop the satisfaction scale to health care services in a Korea health care organization and to test its tool with validity and reliability. Method : The concept of this tool was acceptability that one of the components of health care quality defined by Donabedian. Acceptability has the five dimensions of concept: Accessibility; Patient-Practitioner Relations; Amenities; Patient Preferences as to the effects of care; and Patient Preferences as to the costs of care. The Satisfaction Tool to Health Care Services was reviewed by expert panel with five researchers, including hospital managers and a professor related to quality management of the hospitals. As a result, the content validity index was .84 in the outpatient satisfaction tool. The inpatient satisfaction tool had .87 of the content validity index. The Satisfaction Tools to Health Care Services finally consisted of 44 items for outpatients/their families and of 60 items for inpatients/their families. Study subjects of the construct validity test were 479 outpatients/their families and 561 inpatients/their families who visited or admitted at a University hospital from July 1, 1996 through August 10, 1996. The data were examined by Factor Analysis with SPSS. Result : The items of Satisfaction tools for outpatients/their families were categorized by eleven factors with eigenvalue greater than 1.0 accounting for 64.2 percent of the variation in item scores. Also, the items of inpatient tool had eleven factors with eigenvalue greater than 1.0 accounting for 60.3 percent of the variation in item scores. The reliability of overall scale were .95 and .96 for the outpatients/their families satisfaction scores and inpatient/their families satisfaction scores. The internal consistency reliability with eleven factors was ranged from .30 to .94 for inpatients/their families. The Satisfaction Tool with eleven factors for inpatients/their families had internal consistency reliability ranged from .53 to .89. Conclusion : The Satisfaction Tools to Health Care Services focused on outpatients/their families and inpatients/their families developed in this study had a high reliability and the strong evidence of content validity and construct validity based on quality concept. Therefore, this tool would be utilized as a credible quality indicator of health care services to assess the quality problems and to monitor the quality improvement activities in Korean Health Care Organizations.

• Journal of Intelligence and Information Systems
• /
• v.26 no.1
• /
• pp.23-45
• /
• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• Information Systems Review
• /
• v.13 no.3
• /
• pp.123-139
• /
• 2011

This paper researches the value of domestic telecommunication bundle products. Customers evaluate each telecommunication products differently according to their attributes. The attributes affecting the customer value of telecommunication bundling can be categorized in 3 ones as follows; corporate image, service feature, and service price. Also authors analyze the difference of importancy that customers consider when they evaluate each products, and propose the optimal scenario for bundling. In conclusion, other two companies A, C excluding B should invest more resources into the portion that strengthen the attributes of company image, and service feature to upgrade their 'corporate image', and 'service feature'. According to 6-scenarios analysis on the bundle products, the QPS expansion of company A was the most advantageous position, but if companies B, C expand DPS made use of their strengths, they can prevent from decreasing additivity rapidly with sequential scenario. The above results show that one company may have equable power in each area, but if another company having strengths in special areas makes up for its weakness and differentiates gradually it can contribute to strengthen its competitiveness. This contributed much more theoretical and practical than the existing researches. Supposing that additivity index evaluated by consumers can be changed by efforts of companies, this scenario planning is the result of study showing that the investment and publicity of each company have to be considered as its characteristic of each product at the same time.

• Journal of Digital Convergence
• /
• v.10 no.5
• /
• pp.333-338
• /
• 2012

Cultural goods is carrying nature and value above-mentioned a commodity to what a cultural element was commercialized. And it produced for the purpose of manufacture for popular sales and supply, and holding commercial character. Specially, cultural goods of a museum keeps a good memory to a sightseer, and broaden an educational experience, and the source of profit becomes it to a seller a producer. This cultural goods as they all include the artistic historical figurative background that they are displayed directly and got twisted up to collection have background which became a motive. Cultural goods can acquire cultural difference in globalization and have to be based on the soil of cultural heritage, starting around various cultural materials through practical value to a modern life. Internationally, cultural goods using a culture material development have competitiveness of nation as in it. Therefore, Baekje cultural goods need national and positive aid from the government with the customer satisfaction index considering the modern design, an age group, an internal and external commodity as the difficulty of various commodity development and managing museum shop. Furthermore, like overseas museum shop, if we are practically using on-off line, continuous promoting our commodity, and marketing strategy such as a membership system when buy our cultural goods, a special discount event etc., we can contribute to activate local economy as a museum shop when we have responsibility of the function and the part.

• Journal of Korea Port Economic Association
• /
• v.33 no.3
• /
• pp.91-104
• /
• 2017

This paper examines the export structure of Gwangyang Port and evaluates its comparative advantage from 2005 to 2016 using the Comparative Advantage by Countries (CAC) index. It is found that: (i) Gwangyang Port has a comparative advantage in HS 39 and HS 28, an unstable comparative advantage in HS 29 but a comparative disadvantage in HS 72; and (ii) 4 items have the common features of losing their comparative advantage. Constant market share analysis allows one to evaluate why the exports of one region may grow faster than world exports. This consists of the commodity composition effect, the scale effect, and the competitive effect. Constant market share analysis shows that the commodity composition effect influences exports negatively while the scale effect does exports positively. Shift-share analysis can help evaluate the change in a region's performance relative to the nation over a given period of time. The result indicates that HS 28 has not only favorable industrial mix effect but high competitive share effect, while HS 29 has unfavorable industrial mix effect as well as low competitive share effect. This paper also reveals that industrial mix effect of HS 39 is positive but its competitive share effect is negative, whereas the former is negative but the latter is positive in case of HS 29.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.532-542
• /
• 2020

Due to abnormal weather conditions such as high temperature, the management of greenhouse rose farms is getting worse. In order to enhance the competitiveness of these farms, new measures are needed to improve their management performance. Therefore, this study suggests alternatives to improve the efficiency and productivity by identifying the causes of inefficiency of greenhouse rose farms in terms of management performance analysis through DEA analysis and MPI analysis. As a result of DEA analysis, the average TE of farmers increased from 0.867('16) to 0.905('17), but decreased to 0.850 in 2018, indicating that it was inefficient. In order to increase the management efficiency of farmers, efforts to preferentially reduce the costs (equipment, employment labor, fertilizer, facilities, seeds) that cause inefficiencies are needed. As a result of MPI analysis, TECI decreased from 1.044(T2) to 0.939(T3), which was the cause of the MPI decrease, and the TCI was rather increased from 0.958(T2) to 0.969(T3). In other words, it means that the decrease in productivity is due to insufficient utilization of potential production technology rather than the slowing of technological progress. This implies that it is important to provide technical guidance on utilization after technology dissemination.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.10
• /
• pp.101-107
• /
• 2018

Recently, Korea's defense industry has advanced highly, and defense R&D budget is gradually increasing in defense budget. However, without objective analysis of defense industry technology, effective defense R&D activities are limited and defense budgets can be used inefficiently. Therefore, in addition to analyzing the defense industry technology quantitatively reflecting the opinions of the experts, this paper aims to analyze the defense industry technology objectively by quantitative methods, and to make efficient use of the defense budget. In addition, we propose a patent analysis method to grasp the characteristics of the defense industry technology and the vacant technology objectively and systematically by applying the big data analysis method, which is one of the keywords of the 4th industrial revolution, to the defense industry technology. The proposed method is applied to the technology of the firepower industry among several defense industrial technologies and the case analysis is conducted. In the process, the patents of 10 domestic companies related to firepower were collected through the Kipris in the defense industry companies' classification of the Korea Defense Industry Association(KDIA), and the data matrix was preprocessed to utilize IPC codes among them. And then, we Implemented association rule mining which can grasp the relation between each item in data mining technique using R program. The results of this study are suggested through interpretation of support, confidence lift index which were resulted from suggested approach. Therefore, this paper suggests that it can help the efficient use of massive national defense budget and enhance the competitiveness of defense industry technology.

• Journal of Korea Port Economic Association
• /
• v.30 no.3
• /
• pp.39-58
• /
• 2014

Korea and China have maintained sea routes between two nations through the shipping conference which was established in May 1993. Due to this effort, the market of Korea-China car ferry on Yellow sea makes growth year by year. The car ferry business has shown fierce competition because it has huge impacts on regional and national level economy. In this respect, the aim of this research is to analyze the structural analysis for ports of Korea-China car ferry using Shift Effect(SE) method. As a results, passengers and cargo volumes of Incheon port continuously transfer to Pyeontaek and Gunsan port. Moreover, absolute growth rate of Incheon port do not reach the potential growth rate. The competitiveness power of Incheon port has lower position compared to Pyeontaek and Gunsan port. The cargo volumes of ports located on western coast of Korea have increased recently, however, passengers and cargo volumes of Incheon port have shown lower increasing rate compared to average of Korean western coast ports. For Incheon port, high value added cargoes which give large profit on port side, have to be attracted. Moreover, Incheon port has to become a specialized port.