• Journal of Korea Port Economic Association
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• v.28 no.3
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• pp.91-110
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• 2012

In the modern management literature, knowledge has been recognized as a new strategic resource enabling a firm to create its competitiveness. Shipping companies under fierce competitive structure need to pay attentions to the utility of knowledge management. A shipping firm may develop its unique service capability by classifying, sharing, and transferring the data, information and knowledge obtained from both inside and outside its global service network. The current study attempts to analyze influential relationships between liner shipping firms' knowledge management and service capabilities. In order to achieve this goal, this study designed a knowledge chain model measuring shipping companies' knowledge management levels and tested its validity and reliability based on a total of 80 replied questionnaires from national and foreign liners. The empirical result presents that supportive and primary activities composing a knowledge chain could exert significant positive influences on the enforcement of shipping service capabilities. This research shows that the utility of knowledge management is adoptable in the maritime industry, and recommends that shipping firms should recognize strategic importance of knowledge and actively pursue knowledge management at an entire firm level.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• Knowledge Management Research
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• v.17 no.2
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• pp.51-73
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• 2016

The organizational ambidexterity has been emerging as the way to gain competitive advantage in turbulent environment. The concept of ambidexterity is simultaneously accomplishing the balance between the activities of exploration and exploitation, and overcoming their conflicting tension. The beneficial merits of ambidexterity has been investigated in innovation, financial performance, strategic management, and etc. Our study focused on the impact of ambidextrous activities on creative performance. Although three ambidextrous modes-structural ambidexterity, contextual ambidexterity, and sequential ambidexterity-have been already acknowledged, scant studies suggested the specific mechanisms to achieve ambidexterity in practice at the operating level. To address the issue we performed the semantic network analysis on the basis of the previous literatures prescribing ambidexterity theory. We took interview with 21 teams to explore behaviors of teams from the ambidextrous perspective, and then interpreted the relationship among words which appeared in the interview. This study found the appropriate mechanism which alleviate tension revealed by exploitation and exploration exist as practical reality. We demonstrated how these ambidextrous mechanisms can be used to generate the creative performance as well as examined various antecedents. These findings would contribute to the more fine-grained understanding of organizational ambidexterity, especially in conjunction with organizational creativity.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.249-255
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• 2014

Recently, creation and sharing of information make progress actively through the SNS(Social Network Service) such as twitter, facebook and so on. It is necessary to extract the knowledge from aggregated information and data mining is one of the knowledge based approach. Especially, emotion analysis is a recent subdiscipline of text classification, which is concerned with massive collective intelligence from an opinion, policy, propensity and sentiment. In this paper, We propose the emotion prediction method, which extracts the significant key words and related key words from SNS paragraph, then predicts the emotion using these extracted emotion features.

• Journal of Information Management
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• v.37 no.4
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• pp.25-47
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• 2006

A terminology system capable of providing interpretations and classification information on a multilingual science and technology(S&T) terminology is essential to establish an integrated search environment for multilingual S&T information systems. This paper aims to build a base system to manage an integrated information system for multilingual S&T terminology search. It introduces a method to build a search system for S&T terminologies internally linked through the multilingual semantic network and a search technique on the multiple linked nodes. In order to provide a foundation for further analysis researches, it also attempts to suggest a basic approach to interpret terminology clusters generated with those two search methods.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.149-156
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• 2016

In today's rapidly-changing business context with technology convergence among various fields, new technology development and technology commercialization capabilities are very important to the survival and growth of small and medium-sized enterprises (SMEs). This study develops the research model based on the open innovation perspective and empirically tests it by using 2,000 data from SMEs in South Korea. The empirical analysis result reveals that SMEs' external technology collaboration network and external information network diversities have positive effects on their technology commercialization capability, and these effects are fully mediated by their new technology development capability. Based on these results, the study provides meaningful implications especially in terms of SMEs' managers who pursue entrepreneurship.

• Journal of Korean Medical classics
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• v.31 no.4
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• pp.27-46
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• 2018

Objectives : In this paper, we investigated the applicability of text mining to Korean Medical Classics and suggest that researchers of Medical Classics utilize this methodology. Methods : We applied text mining to the Huangdi's internal classic, a seminal text of Korean Medicine, and visualized networks which represent connectivity of terms and documents based on vector similarity. Then we compared this outcome to the prior knowledge generated through conventional qualitative analysis and examined whether our methodology could accurately reflect the keyword of documents, clusters of terms, and relationships between documents. Results : In the term network, we confirmed that Qi played a key role in the term network and that the theory development based on relativity between Yin and Yang was reflected. In the document network, Suwen and Lingshu are quite distinct from each other due to their differences in description form and topic. Also, Suwen showed high similarity between adjacent chapters. Conclusions : This study revealed that text mining method could yield a significant discovery which corresponds to prior knowledge about Huangdi's internal classic. Text mining can be used in a variety of research fields covering medical classics, literatures, and medical records. In addition, visualization tools can also be utilized for educational purposes.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.4_2
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• pp.627-636
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• 2022

Market convergence plays an increasingly important role in sustaining competitiveness and providing impetus for the new product development. However, existing research focused mostly on the analysis of convergence at technology level. This study examines the phenomenon of market convergence based on the start-up data. Similar to the analysis of technology convergence, this study adopts the concept of co-classification analysis for constructing the co-occurrence matrix and the corresponding network. In this context, network centrality measures were calculated to assess the influence of individual market segments. Based on three metrics "growth", "persistence" and "novelty", the market convergence dynamics were explored and promising interactions between two distinct market segments were highlighted. The findings suggest that both segments "AI" and "blockchain" are acting as a driver that fosters market convergence in the startup landscape. The analysis results can provide valuable information for the R&D managers and policy makers in the design of targeted policies and programs, which can promote market convergence and interdisciplinary knowledge transfer.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.443-451
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• 2024

The purpose of this study is to comprehend the knowledge structure of data scholarship within data journals and repositories. The study explored various aspects, including types of peer review, co-occurrence analysis through author keywords, and network analysis via article titles. The majority of data repositories in the DCI are maintained by countries in North America and the European Union. In Korea, data repositories are predominantly managed by research institutions. This study contributes to enhancing our understanding of the practices in data scholarship.

• Korea Trade Review
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• v.41 no.5
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• pp.325-351
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• 2016

This study empirically investigated the relationship among knowledge transfer, network(firm network and government network) and performance Korean MNCs' subsidiaries in terms of absorptive capacity and entry mode roles in China. For this, absorptive capacity was established as an independent variable, mediating variable, and moderating variable. And the entry mode was divided into single investment and joint venture and set to the moderating variable. Data for the analysis of actual proof was randomly selected from the companies which was established more than 3 years before KOTRA 'The overseas expansion Korean company directory (2014)'. Questionnaires to 138 Chinese subsidiaries of Korean MNCs were collected by FAX and E-mail. AMOS was utilized and collected data investigated the role of the absorption capacity and entry mode as the covariance structure analysis. The empirical analysis showed that absorption capacity has a direct influence on management performance as an independent variable with the network (firm network and government network). It only has a partial mediating role between enterprise networks and management performance, and no meaningful result was gained as its moderationg role bewteen the exogenous variable and management performance. And in terms of Korean companies' moderating role in entering China, they have a moderating role between government network, absorption capacity and management performance, but did not show a statistically significant result between knowledge transfer, enterprise network and management performance. Absorption capacity, as the variable affecting overseas subsidiary's management performance, should not be considered a mediating or moderating variable, but an independent variable. Since the joint venture is showing higher performance than single investment when going into the Chinese market, implication is provided for options in overseas expansion. But this research has the limitation in generalization because it is aiming at the subsidiaries of the Korean company investing in China. Therefore, it is more desirable in the future to conduct a study of the subsidiary of the Korean company entering several countries. It also has limitations in generalization, because the research was conducted using a limited number of variables, despite there are various factors affecting the management performance of Chinese subsidiaries.