• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.1
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• pp.128-139
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• 2018

As The Fourth Industrial Revolution and Intelligent Information Age came into full-scale, the policy of open government data has become a hot topic for each country. The United States, the United Kingdom, and other countries are shifting policy direction to "creating value" of open government data. Also, in the age of the digital economy where the data market is soaring, open government data is gradually being recognized as a new raw material for new business and start-ups. In addition, Korea ranked first in the OECD open government data evaluation twice in a row, and was highly evaluated in the international evaluation. However, domestic firms are still lacking in qualitative openness of government data, data is dispersed among institutions, lack of public-private data linkage, and development of app-oriented development. This study attempts to analyze major national policies for the creation of a data ecosystem that considers data lifecycle, from production to storage, distribution and utilization of data. First, the target countries were the leading public data countries among the OGP member countries, the USA, the UK, Australia and Canada. The results of this study are as follows. As a result of analyzing the results and comparing Korea's policies, it was concluded that most of Korea is superior in open government data policy. However, improvement of data quality, development of open data portal as an open platform, support for finding various users including apps and web development companies, and cultivation of open government data utilizing personnel are analyzed as policy issues. In addition, the direction of policy for the balanced ecosystem of Korea is presented together.

• Journal of Service Research and Studies
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• v.2 no.2
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• pp.53-79
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• 2012

According to Electronic Times(2012. 1. 3), "PMO was introduced from 1950s in the USA and as of 2010, PMO participated in 84% of project ordered by public and private sector." And Ministry of public administration and security announced that the Ministry will organize Task Force for arranging "standard for introduction and operation of PMO" for support of project implementation and strengthening specialty of ordering organization, and then, actively launch the Task Force from February, 2012. Thus, necessity of PMO is regarded as natural in some aspect but thesis for doctoral degree written by Kim Gi-yeong(2007) suggested, "performance of several projects begun at the same time cannot be interpreted as high according to whether PMO team exists or not." Martin et al.(2005) asserted, "according to whether PMO team exists or not, but there is no significant difference in other factor." In the contradictory situation, it is necessary to perform more various approaches for performance and necessity of PMO in the academic aspect.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.131-136
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• 2015

The feasibility study is an evaluation and analysis of the potential of a proposed project. It is based on extensive investigation and research to support the process of decision making. A systematic approach to determining the optimum use of scarce resources, involving comparison of two or more alternatives in achieving a specific objective under the given assumptions and constraints. Economic analysis takes into account the opportunity costs of resources employed and attempts to measure in monetary terms the private and social costs and benefits of a project to the community or economy. Cost-benefit analysis (CBA), sometimes called benefit-cost analysis (BCA), is a systematic approach to estimating the strengths and weaknesses of alternatives that satisfy transactions, activities or functional requirements for a business. It is a technique that is used to determine options that provide the best approach for the adoption and practice in terms of benefits in labor, time and cost savings etc. The CBA is also defined as a systematic process for calculating and comparing benefits and costs of a project, decision or government policy and projects.

• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.123-132
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• 2009

Even support-and-management efforts by government are enforced with the growing international restrictions for complying with global standard, not a few private enterprises are still suffering software management problems from lack of understanding the software asset management and carelessness of the software management. This is due to the ambiguous scope of software asset management as well as characteristics of software property such as invisibility, easiness of copy and installation. In other words, it is not easy for software managers to comply all the information throughout the software life cycle; from purchasing, procurement. distribution, preservation to disposition. Therefore, Inspector which has been developed for resolving these problems are proposed in this study. The inspection service consists of search algorithms adapted for software characteristics, standardization of software right management information, and practical use of registry information. Inspection time for a PC by using inspector make the inspection time much shorter. It is also shown that effective software management enables the enterprise to curtail software acquisition cost and to help rationalizing its business management.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.7-13
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• 2023

This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.97-104
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• 2023

Purpose: The web based KRAS risk assessment support system to facilitate risk assessment in small businesses and provides an assessment model for each type of business. In order to help understand risk assessment, private institutions have opened and operated training in charge of risk assessment. It will present the effectiveness of education in charge of risk assessment and measures to improve and revitalize it accordingly. Method: Using SPSS 22 for 670 workplaces that completed risk assessment personnel training within 5 years from 2017 to 2021, the disaster rate was analyzed through correlation analysis and t-test by dividing groups of less than 100 people into groups of 100 people. Result: Hypothesis 1-5 are adopted and reject 5-8. Conclusion: It is possible to consider the organization of a curriculum according to the size of a company for corporate education with more than 100 employees and to enhance the benefits of recognizing risk assessment.

• Journal of the Korea Organic Resources Recycling Association
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• v.11 no.2
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• pp.74-85
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• 2003

The purpose of this study is to investigate present situation of recovery and treatment of waste home appliances, and to supply basic data for active reuse and recycling of waste home appliances. Among waste home appliances, refrigerator comprise 30.7%, television 37.8%, washing machine 22.9% and air conditioner 0.3%. Local government collected 46.2% of waste home appliances, producer and agent collected 49.7%, recycling center 4.1%. Seventeen percentage of waste home appliances are reused, 65% are recycled, and 18% are landfilled or incinerated. To improve the recycling activity of waste of home appliances, it is important to establish private reuse and recycling organization. It is also necessary to improve waste deposit and refund system for efficient recycling by decent financial support. Extension of a term of usage is another method to minimize waste home appliances. Finally, intensive education for consumer is necessary for waste minimization. Some portion of recycling and treatment cost can be allocated to the local government and large private business can shred and recycle waste home appliances.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.31-41
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• 2017

Through the evolutionary process of the North Korean defector support policies, this research investigates the background behind the formation of non-profit organizations for the North Korean defectors and to identify and understand the problem through their characteristics and functions. Starting from 1990, with an increase in the North Korean Defectors' population as well as the introduction of multicultural society, various environmental factors, such as the domestic socio-environmental changes, resulted an increase in number of private organizations. However, not to mention the size and functions of the organizations, some do not even have required legal organizational structures in place. Their business activities, in some cases, are irrelevant to the original purpose and objectives. Moreover, the fact that 83% of the North Korean Defectors Organizations are based in Seoul while 25.5% of the North Korean Defector residing in Seoul, inevitably make the reputation of the organizations to be illegal and dishonest due to the excessive level of competitions among the similar types of organizations. In reality, the organizations show lack of growth in the areas such as securing necessary employments to the Defectors or providing educations to the youth, who will eventually become the future leaders, in building the awareness capacity toward the unification. These results show that, in conducting their activities, the organizations must be aware of the rights and responsibilities as the constituents of the society, plus the government's practical efforts in improving these issues are also necessary.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.1024-1049
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• 2011

Korea has accomplished rapid industrial development based on the manufacturing industry. However, the growth potential has been slowing down lately due to some reasons including low employment creation rates. Also, competitions in the manufacturing industry with China and developing countries in Asia are constantly intensified. Advanced countries maintain economic growth based on the competitiveness secured by changing its industrial structure into service oriented economy. Accordingly Korean government announced various policies to promote service industry and stimulate R&D activity for the advancement of knowledge based service industry. For promoting R&D of private firm, R&D center accreditation system for knowledge based service firm is going to be introduced. However, the accreditation system needs to be revised because it was established based solely on manufacturing business. Under the existing system, subject firms for government support are selected based on R&D activities. However in service area, the difference between R&D activity and business activity is indistinctive due to its nature so that the range of subject firms can be expanded too much. So it is more practical to select major service businesses and operate the system with selected businesses. There also should be proper logic to select major service business from the whole service businesses. We have to consider Koean industrial structure which is heavily dependent on manufacturing business and has weak competitiveness in service business when preparing the logic. In this paper, we study how to set up the range of service business and the requirements for R&D center accreditation. For this, this paper analyzed the ripple effect on the economy of service businesses based on input-output analysis, R&D activity and capability to put the resource for R&D. Based on the analysis result, we suggest methods to screen subject companies for R&D center accreditation among service business and present possible measures on manpower and physical requirement for service industry's R&D center accreditation system.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.1-21
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• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.