• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.281-295
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• 2005

The study of purpose is to analyze the effects of quality factors of ERP system on organizational performance. Where as many preceding studies have been focused on the factors of general service quality, this study analyzed interrelation between quality factors and organizational performance of corporation implemented ERP system using questionnaire. As compared with preceding studies which mainly concerned with system quality factors and information quality factors, this study specially added service quality to analyzing interrelation with organizational performance. Questionnaire consists of survey for the interrelation between ERP system implemented corporation and organizational performance. The results are as follows. First, quality factors of ERP system effected on organizational performance by t-test. Second, quality factors of ERP system showed significance statistically on the effects of organizational performance by t-test. The results of this study have a great expectation for the role of offering useful insight and information in the field of business and education. First, make sure that quality factors have significant effects on organizational performance when implemented ERP system in the business, investment and research on quality factors should be combined with. Second, in a sense that this study was added to service quality in research of quality factors by the detailed approaches which different from preceding studies, it is of highly practical use. Third, this study presents scientific foundation on quality improvement for quality factors of ERP system.

• Cartoon and Animation Studies
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• s.39
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• pp.27-58
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• 2015

The crisis in profit and funding for animation is in evidence around the world. The change in media environment has forced broadcasting advertising revenue down and animation viewers spread out. Now, animation players in the strongest position are either the US major studios, or producers benefiting from domestic support schemes. Government support is available in many countries because many governments believe that support for domestic animation carries both economic and cultural benefits. This paper is designed to suggest new policy schemes for Korean animation industry. The new paradigm of animation policy needs a new perspective on content industry as a whole, not centered on the animation itself. The researchers on public policy for culture, audiovisual and content industry argued that the government should, (i) play the role of facilitator for virtuous cycle of industry value chain, (ii) provide fiscal support through automatic and selective schemes, (iii) provide tax benefit to strengthen the competitiveness of industry, and (iv) enforce the broadcasters to contribute to domestic programming and financing. Comparative analysis on French and Canadian audiovisual policy supports such arguments, and animation industry of two countries are enjoying the high audience ratings and sustainable production volume. From the analysis, this paper suggests the new government schemes for Korean animation industry, which are, (i) securing the public funding for fiscal support, (ii) introduction of automatic production support, (iii) modification of broadcasting quota, (iv) broadcaster's performance envelope and production quota, and (v) tax benefit as indirect support.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.163-176
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• 2019

The purpose of this study is to examine the impact of PM consultant leadership competence on consulting repurchase intention and the impact of SME CEO participation on consulting repurchase intention. The validity of the measurement model was secured through CFA (Confirmative Factor Analysis) for the questionnaire data, and consistency was secured through the same method convenience, and significant results were obtained. In other words, not only the ability of PM consultant in repurchase of consulting is important, but also confirms that repurchase intention differs according to the participation of manager. Therefore, the performance that manager feels depends on the degree of manager's interest in repurchase and plays an important role in repurchase. As a result, it is important for PM to report to manager and / or make the manager participate in consulting process so that manager can be interested. In this study, it is difficult to generalize the relationship between PM's leadership role and manager's involvement in the repurchase intention. However, it is meaningful that PM's competence as well as management's participation are very important, and that this study figured out which drection PM's leadership should focus on. The purpose of this study is to investigate the effect of the variables on the repurchase intention.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2993-3002
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• 2018

This case study introduces the process of developing the technology rating evaluation model for investment. The technology evaluation rating model for investment is a project that the Financial Services Commission and the Ministry of Commerce, Industry and Energy collaborated to expand the scope of technology finance from loan to investment. The technology evaluation model for investment was developed with the aim of predicting high growth companies. The model consists of a statistical model and an expert model. Here, statistical models were modeled by using logistic regression analysis. Expert models gathered opinions of experts and identified the weight of each evaluation item and set the model. The rating system of the model is composed of 10 grades. The distribution of the model was consistent with KTRS grade distribution. Interestingly, the emphasis is on technology and marketability. In the technology valuation grade model for the goddess, there is a considerable difference from the emphasis on managerial competence or business performance.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.155-170
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• 2018

Predicting a company's financial bankruptcy is traditionally one of the most crucial forecasting problems in business analytics. In previous studies, prediction models have been proposed by applying or combining statistical and machine learning-based techniques. In this paper, we propose a novel intelligent prediction model based on the simulated annealing which is one of the well-known optimization techniques. The simulated annealing is known to have comparable optimization performance to the genetic algorithms. Nevertheless, since there has been little research on the prediction and classification of business decision-making problems using the simulated annealing, it is meaningful to confirm the usefulness of the proposed model in business analytics. In this study, we use the combined model of simulated annealing and machine learning to select the input features of the bankruptcy prediction model. Typical types of combining optimization and machine learning techniques are feature selection, feature weighting, and instance selection. This study proposes a combining model for feature selection, which has been studied the most. In order to confirm the superiority of the proposed model in this study, we apply the real-world financial data of the Korean companies and analyze the results. The results show that the predictive accuracy of the proposed model is better than that of the naïve model. Notably, the performance is significantly improved as compared with the traditional decision tree, random forests, artificial neural network, SVM, and logistic regression analysis.

• Smart Media Journal
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• v.9 no.4
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• pp.66-72
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• 2020

As the online education market expands, educational contents with various presentation methods are being developed and released. In addition, it is imperative to develop content that reflects the usability and user environment of users who use this educational content. However, for qualitative growth of contents that will support quantitative expansion of markets, existing model analysis methods are urgently needed at a time when development direction of newly developed contents is secured. In this process of content development, a typical model for setting development goals is needed, as the rules of the prototype affect the entire development process and the final development outcome. It can also provide a positive benefit that screens the issue of performance dualization between processes due to the absence of communication between a single entity or between a number of entities. In the case of AR-based educational content which is effective to secure data necessary for development by securing samples of similar categories because there are not enough ready-made samples released. Therefore, a big data statistical analysis service is needed that can easily collect data and make decisions using big data. In this paper, we would like to design analysis services that enable the selection and detection of intuitive multidimensional factors and attributes, and propose big data-based statistical analysis services that can assist cooperative activities within an organization or among many companies.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.77-87
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• 2021

Smart Factory refers to a factory that can be controlled by itself with an intelligent factory that improves productivity, quality and customer satisfaction by combining the entire process of manufacturing and production with digital automation solutions. The manufacturing industry around the world is rapidly changing, with Germany, Europe, and the United States at the center. In order to cope with such changes, the Korean government is also implementing a policy to spread the supply of smart factories for small and medium-sized companies, and related ministries and agencies such as the Ministry of Commerce, Industry and Energy, the Ministry of SMEs and Venture Business, the Korea Institute of Technology and Information Promotion, and local technoparks, as well as large companies such as Samsung, SK and LG are actively investing in smart manufacturing projects to support smart factories[1]. Factory Automation (FA) construction has many issues regarding the connection of heterogeneous equipment. The most difficult aspect of configuring various communications from various equipment is the reason. Although it may not be known if there are standards or products made up of the same company, it is not easy to build equipment that is old, up-to-date, and different use environments through a series of communications. To solve this problem, we would like to propose a method of communication using Modbus, one of FieldBus, which is one of the many industrial devices of PLC, a representative facility control system, and is used as a communication standard.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.183-191
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• 2022

The Korea Stewardship Code 'Principles on the Fiduciary Responsibilities of Institutional Investors' was introduced in 2016 and the National Pension Service adopted it in 2018. the National Pension Service casted 'dessent' vote on the agenda which is able to reduce the ownership interest of shareholder in general meeting. This paper examines whether 'dissent' voting affected on the ownership interest of shareholder or not. The 'dissent' vote on the agenda are related to revision artical of corperation, appointment or compensation of director and auditor, approval of financial statements ect. The proxies of earnings management is discretionary accruals calculated by modified Jones model. The control variablies are size of assets, liabilities per assets, returns on assets. The results of this study are as followings. First, the 'dissent' voting on the agenda are related to revision artical of corperation, M&A, approval of financial statements ect. are not significant because their sample size is too small, Second, the 'dissent' voting on appointment of director and auditor affected on reduction of discretionary accruals. So the National Pension Service activism shall affect on increasing the ownership interest of shareholder. Third, the 'dissent' voting on compensation of director and auditor is not affected on reduction of discretionary accruals. This results show that 'unconditional dissent voting' on the agenda in general meeting is not to reduce the ownership interest of shareholder.

• Informatization Policy
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• v.28 no.4
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• pp.76-92
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• 2021

The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.

• Asia Marketing Journal
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• v.15 no.1
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• pp.107-128
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• 2013

When Korea's retail industry was liberalized, new store formats such as large discount stores and Super Supermarket(SSMs) have grown. New types of business have borne significant influence on traditional market. Traditional markets have been in gradual decline since they fail to meet to consumer's purchasing behavior. The South Korean government has been making sustained efforts to revitalize the modernization of traditional markets since 2004. This research is conducted to analyze how changes in the distribution of different types of distributors influence the consumer's purchasing behaviors depending on the changes in the market environment. The purpose of this research is to present a policy to invigorate consumer-oriented traditional markets by analyzing the consumption behavior among major retail channels at a point when competition among retail channels is becoming intensified. In order to examine the effect of the spatial competitive landscape among major retail channels on consumption behavior, an empirical analysis was conducted with 613 consumers in 6 cities nationwide, using the multiple regression model. This research identified three main areas of factors. The analysis result indicates that the physical factor (time required to go to the traditional market), socioeconomic factors (the number of vehicles owned and average monthly income), and competitive factors (intensity of competition in spatial locations and average monthly spending in supermarkets) have significant influence on consumption patterns of consumers. The findings present that the Korean government should go ahead with policies aimed to revitalize traditional markets, keeping in mind the factors that influence the consumption patterns of customers based on these results. We propose that the policy supporting traditional markets need to be a customized-strategy, considering traditional market's characteristic.