• Korea Multimedia Society
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• v.22 no.1
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• pp.26-33
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• 2018

The transformation of the processes of governance using the Information and Communication Technologies is aimed at bringing in faster and transparent service delivery, accountability, information sharing and people participation in the decision-making and government processes. The implementation of e-Government requires a comprehensive strategy that is not only sensitive to existing political and economic conditions and realities but is also benchmarked on global best practices. The article reviews the handbook E-Government and Governance Efficiency that provides an insight to research that is being undertaken in the e-Government area, gives an in-depth understanding of critical issues involved in e-Government, and provides expert opinion and recommendations for the Republic of Belarus to augment its potential. It studies the Korean experience on e-Government with special focus on such concepts as e-Government benchmarking, mGovernment, Smart Government and u-Government.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.405-420
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• 2013

The purpose of this paper is to develop an evaluation model for e-government system in Korea which is one of world best practices of e-government systems. We have presented a method to perform an efficiency analysis of each e-government service which in a component of e-government system in Korea and to establish a benchmark target for each e-government service. To do this, the output-oriented DEA(Data Envelopment Analysis) CCR model was performed for the selected 12 e-government public services of Korean e-government system in this paper. As a result of DEA analysis, first the internet civil appeal support service, the employment comprehensive information service, and the company support information service were evaluated as the efficient solutions among the 12 e-government public services. Second the remaining 9 e-government public services were evaluated as the inefficient information services which should be improved in terms of their service levels. Finally the benchmark targets for the inefficient e-government services were suggested to improve those inefficient systems through DEA analysis.

• Proceedings of the Technology Innovation Conference
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• 2003.02a
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• pp.155-172
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• 2003

Government Research Institutes(GRI), together with universities and private research labs, constitute the core of the Korea's national innovation system, The aim of this paper is to analyze the current system of GRIs and the National Research Councils(RC) in Korea, and suggest some policy recommendations conducive to achieving a world class competitive research system. To identify the problems and policy issues, we have conducted interviews (with executives staffs of RCs, GRIs and government ministries) and questionnaire surveys. For benchmarking purposes, we have visited 9 public research institutes in the USA, UK, Germany, and France. From the analysis of the problems revealed from the interviews and questionnaires, 6 policy variables are identified: three of them, which we call systemware variables, are governance structure, resources allocation system, and management control system; and the other three, which we call humanware variables, are visions and strategic goals, leadership, and research manpower, respectively. We have found that 1;he current GRI/RC systems are inefficient mainly due to the rigid and bureaucratic governance structure and inconsistent resource (i.e., government budgets) allocation systems. We reject the idea of replacing the current RC system with such radical alternatives as 're-governmentization'or 'privatization'. Instead we recommend that the government introduce a better system of governance and national budget allocations, which in turn would help induce a better management control systems, clear research visions and goals, strong leadership on the part of the RC chairman, and more creative and motivated researchers. These recommendations may provide opportunities and rooms for chairmen of RCs and presidents of GRIs to exercise more positive leadership in terms of fitting the visions and goal of GRIs to the national R&D strategy and creating a rational management control system as well as motivating researchers in GRIs to be more creative and productive.

• Journal of Korea Trade
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• v.25 no.3
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• pp.153-168
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• 2021

Purpose - In this study, we aim to explore new distribution strategies for sustainable growth in the era of the 4th industrial revolution, focusing on SMEs (small and medium-sized enterprises) in Korea, and suggest ways to upgrade the government's official distribution channel to the next level. Design/methodology - First of all, this paper explored the prior research, the current status of sales support for SMEs, and the changes in the distribution industry due to COVID-19 pandemic. Based on Moon (2016)'s ABCD strategic model - Agility, Benchmarking, Convergence, and Dedication, the study then derived directions in which official distribution channels should move and the new distribution strategy for Korean SMEs to secure competitive advantage. Findings - First, in terms of 'Agility', in order to upgrade official distribution channels, which are currently at some competitive disadvantages compared to private distribution companies, we must quickly introduce technologies for the 4th industrial revolution, such as AI, Big Data, etc., and establish precise strategies to strengthen the capabilities of SMEs. Second, in terms of 'Benchmarking', the use of "Chamelezones" has been increasing to enhance the competitiveness of offline stores in line with recent ontact trends. Therefore, official distribution channels should also benchmark such cases, strengthening their competitiveness by utilizing offline spaces more efficiently and effectively. Third, in terms of 'Convergence', in line with the rapidly changing trend of the times, official distribution channels should also promote active partnerships with media commerce, e-commerce and ICT platforms, as well as cooperation with private retailers, and focus on creating synergy effects through them. Finally, from the perspective of 'Dedication', digitalization should be promoted step by step, finding the sector that can accelerate digital among the value chains of official distribution channels, and continuing to discuss how to digitize it realistically. Originality/value - Based on this analysis, we have presented strategies and implications for innovating official distribution channels for SMEs, which will contribute to enhancing the competitive advantage of official distribution channels in the post COVID-19 pandemic era.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.1
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• pp.45-63
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• 2004

The main purpose of this article is to suggest policy implications for building innovative cluster in Korea by investigating the operating system and role of the Kanagawa Science Park (KSP) located in Kanagawa prefecture, Japan as a central network agent. The KSP established mainly by private and government partnership has played a critical role for building innovative clusters as a way in which increase national competitiveness. But they also provide variety of real service from R&D to commercialization for local firms by facilitating and coordinating networks among regional economic actors such as firms, universities and public research institutes. The regional policy as a way in which increase national competitiveness in Korea is also the establishment of innovative clusters based on regional and industrial characteristics. However, the main problem with building the innovative cluster is the reduction of policy effectiveness due to duplicated supporting and coordinating institutes and institutions established by the each central administration and local governments, aimed at facilitating networks among regional economic actors. In this context, the article suggests that there is a need to build a regional central network agent by designing an organic operating system for the effective management of each network agent in accordance with the process from R&D to commercialization, i.e. an encompassed supporting system, on the basis of benchmarking the KSP operating system in Japan.