• Journal of Korea Technology Innovation Society
• /
• v.10 no.1
• /
• pp.22-46
• /
• 2007

This article introduces a recent innovation in Korea's human resources development policy in the SW sector. Facing serious problems in cultivating SW engineers such as a mismatch in supply and demand of SW workers, shortage of globally competitive SW professionals, and insufficient education and training of university graduates, the Korean government has decided to adopt a new paradigm in national SW engineering education, based on supply chain management (SCM) in manufacturing. SCM has been a major component of the corporate competitive strategy, enhancing organizational productiveness and responsiveness in a highly competitive environment. It weighs improving competitiveness of the supply chain as a whole via long-term commitment to supply chain relationships and a cooperative, integrated approach to business processes. These characteristics of SCM are believed to provide insight into a more effective IT education and university-industry collaboration. On the basis of the SCM literature, a framework for industry-oriented SW human resources development is designed, and then applied in the case of nurturing computer-software engineers in Korea. This approach is expected to fumish valuable implications not only to Korean policy makers, but also to other countries making similar efforts to enhance the effectiveness and flexibility in human resources development. The construction of SCM-based SW HRD model is first trial to apply SCM into SW HRD field. The model is divided into three kinds of primary activities and two kinds of supportive activities in the field of value chain such as SW HRD Council, SW demand and supply plan establishment and the integration of SW engineering capabilities that contribute the reduction of the skill and job matching through SW HR demand and supply collaboration.

• Journal of the Korean Society for Library and Information Science
• /
• v.49 no.3
• /
• pp.155-183
• /
• 2015

The rapid growth of information technologies and data networks has increased the volume of data generated from scholarly research and the possibilities of re-using and sharing such data. However, there is a serious problem of management and sharing of research data due to the lack of facilitating policies and supporting infrastructure. In particular, few data repositories exist that support systematic collection and sharing of research data in the humanities. In this regard, the Korea Research Memory (KRM) established by the Korea Research Foundation is a rare exception. The purpose of this research is to present specific processes and strategies that can facilitate the data collection, reuse and preservation through the KRM using task analysis and source document gathering as main focal points. In addition, in order for the effective collection and sharing of research data, the following recommendations are proposed: 1) the need for the adoption of data management plan related policies that govern the collection and sharing of research data generated from publicly funded research projects, 2) the need for training and support services for individual researchers and research institutes, 3) the need for training data specialists, and 4) the citation scheme and structure designed for research data.

• The Journal of the Korea Contents Association
• /
• v.21 no.10
• /
• pp.48-58
• /
• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

• Journal of Digital Convergence
• /
• v.16 no.6
• /
• pp.325-333
• /
• 2018

The quality of indoor air quality is facing a very serious situation due to the impact of the quality of the atmosphere in the atmosphere and the surrounding environment. While awareness of the danger of these populations is increasing, there is no way to detect the quality of the indoor air quality as well as the measures to detect the quality of indoor air quality as well as the countermeasures. The study drew a general problem with the design of the service design, the general purpose of the general office, and the use of the public facilities for the purpose of measuring the usage of indoor air quality, the general purpose of public facilities, and the interpretation of the current law. Based on this research, most of the general users' perception of the seriousness of the disease is not reflected in the perception that the dust and indoor air are accumulated in the eyes of the general public.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.5
• /
• pp.969-976
• /
• 2013

The information protection systems of company are intended to detect all weak points, intrusion, document drain. All actions of people in company are recorded and can check persistently. On the other hand, what analyze security log generated by these systems becomes more difficult. Most staff who manages the security systems, and analyze log is more incomprehensible than a user or a person of drain for an information distribution process of the work-site operations and the management procedure of the critical information. Such a reality say the serious nature of the internal information leakage that can be brought up more. While the research on the big data proceeds actively recently, the successful cases are being announced in the various areas. This research is going to present the improved big data processing technology and case of the security field.

• The KIPS Transactions:PartA
• /
• v.16A no.6
• /
• pp.411-418
• /
• 2009

Vector quantization algorithm based on fuzzy clustering has been widely used in the field of data compression since the use of fuzzy clustering analysis in the early stages of a vector quantization process can make this process less sensitive to its initialization. However, the process of fuzzy clustering is computationally very intensive because of its complex framework for the quantitative formulation of the uncertainty involved in the training vector space. To overcome the computational burden of the process, this paper introduces an array architecture for the implementation of fuzzy vector quantization (FVQ). The arrayarchitecture, which consists of 4,096 processing elements (PEs), provides a computationally efficient solution by employing an effective vector assignment strategy during the clustering process. Experimental results indicatethat the proposed parallel implementation providessignificantly greater performance and efficiency than appropriately scaled alternative array systems. In addition, the proposed parallel implementation provides 1000x greater performance and 100x higher energy efficiency than other implementations using today's ARMand TI DSP processors in the same 130nm technology. These results demonstrate that the proposed parallel implementation shows the potential for improved performance and energy efficiency.

• Management & Information Systems Review
• /
• v.28 no.1
• /
• pp.1-24
• /
• 2009

Electronic commerce markets have been increasing rapidly, which has resulted in parallel growth in the door-to-door delivery service industry. The door-to-door delivery service industry is projected to be more competitive, due to the large amount of companies that are already established and the fact that several leading multinational logistics companies are rushing into the domestic market. This is a critical period for the companies which are attempting to obtain a competitive advantage. Previous research on door-to-door delivery services has been undertaken, in relation to strategic exploration, political proposals, and user satisfaction. However, there is a lack of practical studies focused on the information systems of door-to-door service companies and its decisive roles have been undertaken. This study aims to investigate, compare, and analyze the information systems of door-to-door delivery service companies. Also, the study proposes developmental direction of how the information systems should be improved. In order to accomplish the purpose of this study, first, we examined previous research on door-to-door delivery services and their information systems. Second, we investigated and analyzed the information systems of four leading domestic companies by conducting interviews. Third, we compared and identified factors of the information systems that could be improved. Finally, we proposed its developmental direction. As a result of the study, the information systems of door-to-door delivery service companies required to provide classified services using diverse tools and develop the optimized routing model to reduce logistics costs.

• Journal of Digital Convergence
• /
• v.15 no.8
• /
• pp.1-14
• /
• 2017

This study is a descriptive and exploratory one aiming to develop a systematic/diagnostic manual that is necessary for the improvement of the pedestrian safety of a neighborhood and show the practical application and usefulness of the manual through a case study. The diagnostic manual developed on the basis of the previous research review adopted a mixed research method including three investigation tools of map/data analysis using secondary data, field observation by investigators, and resident survey interview. In the case study applying the manual to Changsin-dong, Seoul, the author analyzed the results of the three investigations in integrative ways and showed the usefulness of the manual by systematically deriving the places prone to pedestrian-vehicle accidents and the influencing factors. This study contributes to the practical field in that it provides planners with a systematic tool to diagnose the pedestrian safety in the neighborhood environment while it contributes to the academic field in that it provides the concrete process that empirically compares the differences between different environmental investigative methods and deduce integrative implication from them. In a follow-up study, the author plan to apply the diagnostic manual presented in this study to more cases and improve them to work in various contexts.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.1
• /
• pp.304-312
• /
• 2019

Service companies are making constant efforts to gain positive business performance such as customer satisfaction, quality improvement, and valuable management. Compared to other industries, service companies are highly dependent on workers for responding to customers and satisfying various customer needs in terms of business content and type. Thus, the attitude, given, environment, and capacity of the workers who supply service and serve customers are important factors that directly and indirectly influence customer satisfaction and performance. To enhance the performance of organizations and gain competitive advantage, it is important to provide the various forms of social support for workers as service suppliers. In this sense, active interests including the development of personal competence, support for working environment, and providing chances for the development of new services are significant. This study is a follow-up study on the influence of social support for positive psychological capital, creativity, and work performance of service workers. Among the service process matrix, this study targets the workers involved in mass service fields and seeks to examine how support for co-worker influences the performance through self-efficacy. No empirical analysis has examined workers involved in mass service fields. Thus, this study aims to take an approach different from that of previous studies and to suggest more effective human resource management strategies for enhancing the competitiveness of service companies and provide related implications.

• Korean small business review
• /
• v.42 no.4
• /
• pp.69-102
• /
• 2020

Shedding new light on the research trend on entrepreneurial ecosystems in the 40-year history of the Asia Pacific Journal of Small Business, this study aims at exploring a potential measurement framework of ecological inputs and outputs in an entrepreneurial ecosystem that promotes entrepreneurship at geographical and spatial levels. As a result of the analysis of research on the entrepreneurial ecosystem in the journal, we found that prior studies emphasized the managerial importance of various ecological factors on the premise of possible causalities between the factors and entrepreneurship. However, empirical research to verify the premised causality has been underexplored yet. This literature gap may lead to unbalanced development of conceptual and case studies that identify requirements for successful entrepreneurial ecosystems based on experiential facts, thereby hindering the generalization of the research results for practical implications. In that there is a growing interest in creating and operating productive entrepreneurial ecosystems as an innovation engine that drives national and regional economic growth, it is necessary to explore and develop the measurement framework for ecological factors that can be used in future empirical research. Hereupon, we apply a conceptual model of 'input-output-outcome-impact' to categorize individual environmental factors identified in prior studies. Based on the model. We operationalize ecological input factors as the financial, intellectual, institutional, and social capitals, and ecological output factors as the establishment-based, innovation-based, and performance-based entrepreneurship. Also, we propose several longitudinal databases that future empirical research can use in analyzing the potential causality between the ecological input and output factors. The proposed framework of entrepreneurial ecosystems, which focuses on measuring ecological input and output factors, has a high application value for future research that analyzes the causality.