• Asia pacific journal of information systems
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• v.16 no.1
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• pp.23-43
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• 2006

By far, numerous e-government projects requiring huge investments have been conducted in Korea to increase the administrative efficiency and improve the service quality via Internet. However, there's little research focusing on methods and techniques for analyzing and evaluating the projects either to economically justify the investments or to assess the quality of the system and of on-line services to citizens. The purpose of this paper is to suggest a set of factors to take into account for evaluating e-government portals and to empirically test the factors to provide useful implications for building such portals. Based on the literature reviewed, we constructed a research model that includes content, public service, community, design, technology, and portal's attributes as independent variables and the user's satisfaction and the administrative efficiency as dependent variables. A reliability test revealed that the evaluation factors proposed in the paper are sufficiently reliable, and a multi-regression analysis indicated that five hypotheses should be accepted. The findings of the study suggest that emphasis should be placed on public service quality and portal site attributes, among others, when implementing portals.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.3
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• pp.94-104
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• 2016

In this study, factor and cluster analysis are used to classify characteristics of the administrative basic unit, "Dong", of the Incheon Metropolitan City. Travel characteristics of the classified groups are then analyzed through databases to provide directions of urban transportation planning. First, industrially developed administrative-dong show a high commuting volume by using cars. Thus the analysis indicated the need to staggering work-hour system and signal operating system policy. Second, commercially developed administrative-dong show heavy use of public transportation and long distance commute as well as high volume of shoppers. The analysis indicated the need to improve road infrastructure. Third, densely populated administrative-dong show a high rate of commute to work and school as well as long hours of commuting. Thus the analysis indicated the need to improve road transportation policies during rush hours. Fourth, administrative-dong with multiple characteristics feature heavy pedestrian traffic thus the study analyzed the need to improve pedestrian environment policies. Lastly, administrative-dong in close proximity to train stations feature extensive use of biking as well as high volume of shoppers and students commuting. Thus the study analyzed the necessity to have plans to enhance accessibility.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.177-200
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• 2022

Administrative information datasets are a kind of record produced based on an organization's work performance. A dataset is evidence of the act of recording and contains a lot of information that can be used for work. Datasets have been neglected in Korea's records management system. However, as the law was revised in 2020, the management of administrative information datasets was legislated. Organizations that require management of administrative information datasets have already gradually begun record management. The core of managing administrative information datasets is the preparation of the Management Reference Table for the dataset. Regardless, there is confusion with the Records Management Reference Table for Dataset in institutions that work on records management, and it is difficult to work because the Management Reference Table for Dataset has a new concept. This study looked into the problems in the records management of datasets that appeared at the beginning of work. It isuggests a method to effectively settle records management for datasets. In that way, the Management Reference Table was selected as the research subject, and the problems discussed so far were summarized. In addition, the items of the current Management Reference Table were analyzed. As a result of the study, we have proposed the simplification of items in the Management Reference Table, the reorganization of areas in the Management Reference Table, the introduction of the concept of retention periods, and the preparation process of the Management Reference Table.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.66
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• pp.47-57
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• 2001

This thesis introduce the organization system and office regulation of standardization administrative organization for the change of times, also suggest improvement plan for its effective management. The main improvement plan refer to the standardization administrative organization\`s work, this thesis suggest, 1. Readjustment of national standardization system and effective reorganization for standards information organization. 2. For industrial standards system, the korea industrial standards should be maintained uniform system, So decentralized korea industrial standard at government ,must be unified and maintained to unique policy for its effective improvement. 3. To strengthen with international standards organization, a institutional device, budget funds, and expert should be backed up. 4. For training and education of expert, Refer to the performance of one\`s duty, the proper expert should be chosen and posted. Also, systematic training and education system for expert must be developed, So they can be on duty continuously, Finally, this thesis suggest that the necessity of systematic and unique policy must be established for high position at international area. Since the limitation of data, the future research will be performed for budget funds and personnel setup.

• Journal of Korean Society of Transportation
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• v.3 no.1
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• pp.22-45
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• 1985

Most transportation problems are expected to be dealt with by public sector, mainly government organizations, even though few articles are available to tackle the problems from the administrative points of view. This study has the following scopes: to define the transportation system; to derive the subsystems, i.e., the functions of the system; to identify the elements (or organizations) of performing the functions; to study the inter-organizational relationships among the elements and to derive problem areas; and finally to propose a new administrative system for solving the problems. System Theory was exclusively used for defining the system and deriving subsystems of transportation. Laws and regulations about government organizations were analyzed to identify the relevant organizations. Communications analysis was used for deriving the relationships among the organizations. Ledger books containing incoming-and-outgoing documents in the sampled organizations were inputed onto computer. Exactly 49,367 records(i.e., information flows) were stored for this analysis. Finally, this study proposed a new administrative system that is expected to result in more cooperative and productive inter-organizational relationships among the transportation organizations.

• The Korean Journal of Archival Studies
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• no.71
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• pp.237-272
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• 2022

In 2019, the pilot project to establish a record management system for administrative information datasets started in earnest under the leadership of the National Archives. Based on the results of the three-year project by 2021, the improved administrative information dataset management plan will be reflected in public records-related laws and guidelines. Through this, the administrative information dataset becomes the target of full-scale public record management. Although public records have been converted to electronic documents and even the datasets of administrative information systems have been included in full-scale public records management, research on the quality requirements of data itself as raw data constituting records is still lacking. If data quality is not guaranteed, all four properties of records will be threatened in the dataset, which is a structure of data and an aggregate of records. Moreover, if the reliability of the quality of the data of the administrative information system built by reflecting the various needs of the working departments of the institution without considering the standards of the standard records management system is insufficient, the reliability of the public records itself can not be secured. This study is based on the administrative information dataset management plan presented in the "Administrative Information Dataset Recorded Information Service and Utilization Model Study" conducted by the National Archives of Korea in 2021. A study was conducted. By referring to various data, especially public data-related policies and guides, which are being promoted across the government, we would like to derive quality evaluation requirements in terms of records management and present specific indicators. Through this, it is expected that it will be helpful for record management of administrative information dataset which will be in full swing in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4208-4215
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• 2015

Most of the administrative works are executed based on the address. Therefore, spatial information is an essential factor for administrative works. So far, many systems, which apply spatial information to administrative works, have been implemented. However, there is little approach to apply spatial information to road occupation permit works. In this paper, we introduce system implementation plan for applying spatial information to road occupation permit administrative works. System implementation plan includes work analysis, applying scenarios extraction, system function extraction, and datamart construction plans. First, work processes and activities are defined based on the analysis of work handbook. Also, activities are displayed in diagram. Second, scenarios applying spatial information to road occupation permit works are extracted. Third, we derive service functions for system, which realize work processes and applying scenarios. Finally, spatial information datamart construction plan is established. Proposed system implementation plan in this research includes application architecture and part of data architecture. For implementing the system, plan for hardware and software architecture should be studied.

• Management & Information Systems Review
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• v.25
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• pp.83-114
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• 2008

We examine whether spinoffs improve long-run stock returns and analyze the factors of long run stock returns. The measures of long run stock returns are CAR(Cumulative Abnormal Returns) and BHAR(Buy and Hold Abnormal Returns). The expected factors of abnormal returns are methods of spinoffs, size, BV/MV, administrative costs, cashflow and Herfindahl index. We find that long-run returns of the case such as carve-out methods, small size, high BV/MV, low administrative costs, low cashflow and low Herfindahl index are larger than those of other cases. We show positive relationship between spinoffs and long-run stock returns(CAR and BHAR). The results supports spinoffs, as the methods of focusing on core business, are very usefulness of corporate restructuring.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.1
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• pp.30-45
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• 2024

This study introduces an effective method for predicting individual local tax delinquencies using prevalent machine learning and deep learning algorithms. The evaluation of credit risk holds great significance in the financial realm, impacting both companies and individuals. While credit risk prediction has been explored using statistical and machine learning techniques, their application to tax arrears prediction remains underexplored. We forecast individual local tax defaults in Republic of Korea using machine and deep learning algorithms, including convolutional neural networks (CNN), long short-term memory (LSTM), and sequence-to-sequence (seq2seq). Our model incorporates diverse credit and public information like loan history, delinquency records, credit card usage, and public taxation data, offering richer insights than prior studies. The results highlight the superior predictive accuracy of the CNN model. Anticipating local tax arrears more effectively could lead to efficient allocation of administrative resources. By leveraging advanced machine learning, this research offers a promising avenue for refining tax collection strategies and resource management.

• Asian-Australasian Journal of Animal Sciences
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• v.25 no.12
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• pp.1768-1774
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• 2012

This study was conducted to evaluate methane ($CH_4$) and nitrous oxide ($N_2O$) emissions from livestock agriculture in 16 local administrative districts of Korea from 1990 to 2030. National Inventory Report used 3 yr averaged livestock population but this study used 1 yr livestock population to find yearly emission fluctuations. Extrapolation of the livestock population from 1990 to 2009 was used to forecast future livestock population from 2010 to 2030. Past (yr 1990 to 2009) and forecasted (yr 2010 to 2030) averaged enteric $CH_4$ emissions and $CH_4$ and $N_2O$ emissions from manure treatment were estimated. In the section of enteric fermentation, forecasted average $CH_4$ emissions from 16 local administrative districts were estimated to increase by 4%-114% compared to that of the past except for Daejeon (-63%), Seoul (-36%) and Gyeonggi (-7%). As for manure treatment, forecasted average $CH_4$ emissions from the 16 local administrative districts were estimated to increase by 3%-124% compared to past average except for Daejeon (-77%), Busan (-60%), Gwangju (-48%) and Seoul (-8%). For manure treatment, forecasted average $N_2O$ emissions from the 16 local administrative districts were estimated to increase by 10%-153% compared to past average $CH_4$ emissions except for Daejeon (-60%), Seoul (-4.0%), and Gwangju (-0.2%). With the carbon dioxide equivalent emissions ($CO_2$-Eq), forecasted average $CO_2$-Eq from the 16 local administrative districts were estimated to increase by 31%-120% compared to past average $CH_4$ emissions except Daejeon (-65%), Seoul (-24%), Busan (-18%), Gwangju (-8%) and Gyeonggi (-1%). The decreased $CO_2$-Eq from 5 local administrative districts was only 34 kt, which was insignificantly small compared to increase of 2,809 kt from other 11 local administrative districts. Annual growth rates of enteric $CH_4$ emissions, $CH_4$ and $N_2O$ emissions from manure management in Korea from 1990 to 2009 were 1.7%, 2.6%, and 3.2%, respectively. The annual growth rate of total $CO_2$-Eq was 2.2%. Efforts by the local administrative offices to improve the accuracy of activity data are essential to improve GHG inventories. Direct measurements of GHG emissions from enteric fermentation and manure treatment systems will further enhance the accuracy of the GHG data.