• Korean Management Science Review
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• v.17 no.3
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• pp.181-201
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• 2000

This paper performs a case study on an Internet business networking company, oneQ.com. We define the functions of Internet business networker and discuss its characteristics such as network effect, lock-in effect, and increasing returns etc. Through reviewing the business models, strategies, and implemented technologies of the oneQ.com, we investigate the applicability and effectiveness of the Internet business networker as well as its research implications.

• STI Policy Review
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• v.5 no.1
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• pp.57-74
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• 2014

This review organises the fragmented management literature on platform business according to a conceptual map and a meta-theoretical scheme. Since the early 2000s, numerous researchers have examined platform business and two-sided networks with platform business and strategy being an important business innovation model for many industries, creating value primarily by enabling direct interactions. Platforms such as Google or Amazon contain a common set of rules and components in most user transactions. Thirty-two core papers and books on Strategic Management Journal, Industrial Economics and Operation Management-related disciplines are reviewed, with further observations on how cumulative research streams on the platform are carried out independently from each academic perspective. The first of the two arguments in this paper is that because interactive relationships bridge the platform and stakeholders such as end-users and developers, it is crucial for platform companies to be aware of their relationship with stakeholders in order to support and sustainably provide content to their platform. The second is that integrative perspectives are essential due to the low number of interdisciplinary investigations conducted thus far. The paper's final section deals with implications for theory and practice, concluding that integrative studies and interactive relationship studies should be the main research streams in future platform research.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.109-120
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• 2023

With the increasing interest in blockchain technology and its employment in diverse sectors and industries, including: finance, business, voting, industrial and many other medical and educational applications. Recently, the blockchain technology has played significant role in preventing fraud transactions in accounting systems, as the blockchain offers high security measurements, reduces the need for centralized processing, and blocks access to the organization information and system. Therefore, this paper studies, analyses, and investigates the adoption of blockchain technology with accounting systems, through analyzing the results of several research works which have employed the blockchain technology to secure their accounting systems. In addition, we investigate the performance of applying the deep learning and machine learning approaches for the purpose of fraud detection and classification. As a result of this study, the adoption of blockchain technology will enhance the safety and security of accounting systems, through identifying and classifying the possible frauds that may attack the accounting and business organizations.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.2
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• pp.79-86
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• 2019

Among the government-sponsored projects supported by Ministry of SMEs and Startups(MSS), the financial support of the Consulting Research Institutes of our university is scheduled to be ended this year. In this regard, this study is to develop a profit model for R&D center of Consulting Research Institute that can cultivate the financial independence of R&D center of Consulting Research Institutes and foster technology convergence consulting manpower to strengthen the competitiveness of SMEs in preparation for the Fourth Industrial Revolution. The profit model were derived from the current status of consulting industry and similar organizations, the current status of consulting graduate R&D centers, case studies of other universities, and focus group interviews. In order to select three high profit models and commercialize them, BMC (Biz Model Canvas) was used and business feasibility was examined. Therefore, three profit model of R&D center of Consulting Research Institute are: First, SCB (SME's Consulting Business: Total Solution Provider for SMEs through Technology Convergence Consulting), Second, SNB (SME's Network Business: Experts connection in Consulting Graduate School for Solving Problems and Problems of SMEs / Industry Consolidation) And third, SM (Sustainable Management: Financial independence through structural improvement of Consulting Research Institute), and the road-map was established. As an implementation plan, the company intends to seek financial independence by developing a profit model for R&D center of Consulting Research Institutes and by establishing business goals and strategies, manpower operation plan, organization, and investment plan for three years.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.75-95
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• 2009

The aim of this research is to design and analyze a social network service model using mobile RFID based business card. This paper suggests how the behavior of exchanging business cards will be changed in ubiquitous environment and designs a social networking service model using a ubiquitous business card, which embeds a RFID tag. We describe the scenarios and analyze a role, value and potential benefits of participants of the u-SNS service model. For the proof of the superiority and the feasibility of our model, we compare it with its related researches and products based on the calculation of the benefits and costs of the alternatives.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.184-189
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• 2007

Concerns about food safety continue to rise and under this situation, governments of some countries have reinforced their regulations more strictly for food safety. In order to prevent food safety incidents or, at least to minimize the impact, the preparedness is very important. As a consequence of this, traceability system has become an essential tool for food safety. Recently, it requires more prevention-based food safety control system. One of the most generally used systems for food safety control is Hazard Analysis and Critical Control Point (HACCP). Both traceability and HACCP systems can be integrated through Electronic Product Code (EPC) Sensor Network technologies which have four value propositions. In this paper, we will introduce the concept of product and process traceability system (P2TS) through the integration of three systems to improve food safety management. The final aim is to find out the added values of the P2TS.

• Journal of the Korean Geographical Society
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• v.36 no.4
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• pp.402-417
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• 2001

This study empahsized the nature of spatial patterns, characteristics and embeddeness of foreign business service firms in Korea utilizing questionnaire survey and interview data. Foreign business services firms are active in forming interfirm networks with clients and supply firms in Korea for widening the market share in Korea. But a low proportion of foreign firms is engaged in academies-industry linkages, government organizations, research institutes, and trade associations. Knowledge transfer and interaction also shows low level of network and the regional development of foreign firms is still in the process of developing, not quite embedded yet. Policy guidances and instituional supports are very essential to strenthen interfirm network and collective learning process of foreing firms in Korea lather than mechanical accumulation of investments. Thus, regional foreign direct investment policy should be targeted towards the incrementation of the potential of foreign firms as a knowledge-intensive industry.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.2
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• pp.154-158
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• 2008

Autonomous business card exchange system using ZigBee with low power and short range was configured In the autonomous business card exchange system characterized as full mesh network in which every node exchanges each information one by one, it is necessary to reduce the time taken for information to be exchanged. In this paper, the novel method where the node ID is exchanged based on CSMA/CA and then the information of each node is broadcast to other nodes according to the ID list based on FIFO. The time required for exchanging information using the proposed method was analyzed and compared with the direct exchange method based on CSMA/CA. The results show that it takes less time in the proposed method than the direct exchange time.

• Journal of Information Technology and Architecture
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• v.9 no.3
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• pp.303-321
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• 2012

Scenarios are an effective tool for supporting a company to be successful in its increasingly complex, changing business environment. They are especialy effective in dealing with uncertainties. This paper show how business managers or supervisors can develop scenario-based business strategies. This is explained by the case study of MVNO (Mobile Virtual Network Operator) in Korean mobile service market. In addition, we discuss on theoretical background of scenario- based management and describe the integration of scenarios into process of strategic management. This includes specific methodological approaches to identify the key factors and logics for scenario building, to develop new strategies.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.818-833
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• 2021

To address the problems of low precision rate, insufficient feature extraction, and poor contextual ability in existing text sentiment analysis methods, a mixed model account of a CNN-BiLSTM-TE (convolutional neural network, bidirectional long short-term memory, and topic extraction) model was proposed. First, Chinese text data was converted into vectors through the method of transfer learning by Word2Vec. Second, local features were extracted by the CNN model. Then, contextual information was extracted by the BiLSTM neural network and the emotional tendency was obtained using softmax. Finally, topics were extracted by the term frequency-inverse document frequency and K-means. Compared with the CNN, BiLSTM, and gate recurrent unit (GRU) models, the CNN-BiLSTM-TE model's F1-score was higher than other models by 0.0147, 0.006, and 0.0052, respectively. Then compared with CNN-LSTM, LSTM-CNN, and BiLSTM-CNN models, the F1-score was higher by 0.0071, 0.0038, and 0.0049, respectively. Experimental results showed that the CNN-BiLSTM-TE model can effectively improve various indicators in application. Lastly, performed scalability verification through a takeaway dataset, which has great value in practical applications.