• 대한공업교육학회지
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• v.44 no.2
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• pp.47-64
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• 2019

The purpose of this study is to analyze the research trends of the The Korean Journal of Institute of Industrial Educations and present the development directions of the The Korean Journal of Institute of Industrial Educations. In order to achieve the purpose of the study, in this study compared and analyzed 158 articles which have been published from the 36 edition to 44 edition of The Korean Journal of Institute of Industrial Educations, the central part in Industrial Educations, to understand the research trend of the Korean Journal of Institute of Industrial Educations. When it comes to the result from the conclusion, firstly The Korean Journal of Institute of Industrial Educations has steadily published a sort of the article twice a year. Secondly, in The Korean Journal of Institute of Industrial Educations, the articles of vocational industrial education are published more than the other kind of the article such as technology education and the rest of education Third, key words of the Korean Journal of Institute of Industrial Educations the word Specialized Technical High School came out the most, followed the word NCS(National Competency Standards). Fourth, the research methods which are used for the study of Industrial Educations are Survey Study, Literature investigation, Contents Analysis, development research but Case Study has been used rarely. Fifth, most of the researches have been conducted by co-research which especially belongs to the university more than one researcher.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.11-23
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• 2012

This study makes an attempt to understand the changes in the National R&D policy by the comparative analysis in terms of R&D policy regime. We characterize the related issues on the National R&D policy, and analyze the direction of science and technology(S&T) policy using the method of scientometrics. The result shows that the policy regime can be categorized into three groups with respect to the R&D efficiency and the keywords; Regime 1: National S&T Innovation 5-year Plan(1999-2002) and National S&T Master plan of the previous adminstration(2003-2007), Regime 2: National S&T Master Plan(2002-2006) and National S&T Master Plan of the previous administration(2003-2007), Regime 3: National S&T Master Plan of the current administration (2008-present).

• Korean Journal of Cognitive Science
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• v.24 no.2
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• pp.95-109
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• 2013

With the rapid evolution of the personal device environment, the demand for natural language applications is increasing. This paper proposes a morpheme segmentation and part-of-speech tagging model, which provides the first step module of natural language processing for many languages; the model is designed for mobile devices with limited hardware resources. To reduce the number of morpheme candidates in morphological analysis, the proposed model uses a method that adds highly possible morpheme candidates to the original outputs of a conventional left-longest-match-preference method. To reduce the computational cost and memory usage, the proposed model uses a method that simplifies the process of calculating the observation probability of a word consisting of one or more morphemes in a conventional hidden Markov model.

• Journal of Forest and Environmental Science
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• v.34 no.2
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• pp.169-172
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• 2018

National parks are designated and managed for the purpose of preserving natural ecosystems, nature and cultural scenery, and promoting sustainable utilization in Korea. Since we designated Jirisan as the first Korean national park in 1967, we have now designated and managed 22 national parks. Because these national parks are the core protected areas of the nation and the ecological recreation center for the people, the interests of researchers related to national parks and citizens have steadily increased over the last 50 years. Especially, various natural science researches and social studies on national parks have been conducted with the launch of the Korea National Park Service in 1987, which is dedicated to national park management. However, we still lack research on national park research trends in Korea in spite of the increase in scientific research and public interest. It is important to know who and what institutes are leading national parks research, what research topics have been conducted, what kinds of researches are important in each national park, and how these researches relate to national park management policies. We propose a study to review the national parks related studies that have been carried out so far and identify the research trends. In the pilot study, we collected about 700 research papers on national parks published between 2002 and 2016 through the Korea Citation Index of Korean journals. We are analyzing the number of papers published, research institutes and research topics related to national parks. Analysis of these national park research trends will be necessary for efficient national park management and policy making for future generations.

• Knowledge Management Research
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• v.18 no.3
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• pp.81-99
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• 2017

This study is to compare the main subjects of domestic and foreign knowledge management research in terms of keywords and to clarify whether domestic knowledge management research reflects research trends in overseas knowledge management research. Specifically, we try to find out whether the central activities such as knowledge sharing, knowledge generation, and acquisition, which are knowledge management activities of knowledge management research, are being studied without bias. In order to analyze this, we analyzed the data of domestic and foreign knowledge management research for the last 5 years from 2012 to 2016. In Korea, the Knowledge Management Society of Korea collected 167 papers and 787 keywords, and collected 132 papers and 640 keywords from the Korea Society of Management Information Systems in order to distinguish the research areas. Overseas papers collected 315 papers and 1,746 keywords published by Emerald. Also, we collected 382 papers and 1,633 keywords in the Korean Management Review and collected 646 papers and 2,879 keywords in the Korean Business Education Review. Frequency analysis and network analysis of 1,642 papers and 7,685 keywords are summarized as follows. The Knowledge Management Society of Korea has focused on knowledge sharing, and in 2016, interest in knowledge transfer and knowledge search has shifted. The Journal of Knowledge Management, which is published by Emerald, has been a major concern for knowledge transfer and knowledge sharing. The research trends of the Korea Society of Management Information Systems to distinguish a clear identity of knowledge management research are focusing on smart area and mobile domain such as information security domain, cloud, smart phone, and smart work. In the Korea Society of Management Information Systems research, the main subject of knowledge sharing is also commonly found.

• Information Systems Review
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• v.26 no.1
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• pp.269-288
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• 2024

The main objective of this study is to empirically explore how the organizational culture influences financial performance of companies. To achieve this, 58 companies included in the KOSPI 200 were selected from an online job platform in South Korea, JobPlanet. In order to understand the organizational culture of these companies, data was collected and analyzed from 81,067 reviews written by current and former members of these companies on JobPlanet over a period of 9 years from 2014 to 2022. To define the organizational culture of each company based on the review data, this study utilized well-known text analysis techniques, namely Word2Vec and FastText analysis methods. By modifying, supplementing, and extending the keywords associated with the five organizational culture values (Innovation, Integrity, Quality, Respect, and Teamwork) defined by Guiso et al. (2015), this study created a new Culture Dictionary. By using this dictionary, this study explored which cultural values-related keywords appear most often in the review data of each company, revealing the relative strength of specific cultural values within companies. Going a step further, the study also investigated which cultural values statistically impact financial performance. The results indicated that the organizational culture focusing on innovation and creativity (Innovation) and on customers and the market (Quality) positively influenced Tobin's Q, an indicator of a company's future value and growth. For the indicator of profitability, ROA, only the organizational culture emphasizing customers and the market (Quality) showed statistically significant impact. This study distinguishes itself from traditional surveys and case analysis-based research on organizational culture by analyzing large-scale text data to explore organizational culture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.68-73
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• 2016

This study was conducted to identify trends and knowledge structures associated with recent trends in Korean tourism from 2010 to 2015 using keyword data. To accomplish this, we constructed a network using keywords extracted from KCI journals. We then made a matrix describing the relationships between rows as papers and columns as keywords. A keyword network showed the connectivity of papers that have included one or more of the same keywords. Major keywords were then extracted using the cosine similarity between co-occurring keywords and components were analyzed to understand research trends and knowledge structure. The results revealed that subjects of tourism research have changed rapidly and variously. A few topics related to 'organization-employee' were major trends for several years, but intrinsic and extrinsic factors have been further subdivided and employees of specific fields have been targeted as subjects of research. Component analysis is useful for analyzing concrete research topics and the relationships between them. The results of this study will be useful for researchers attempting to identify new topics.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.199-207
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• 2018

This study aims to analyze Next Production Revolution (NPR) technologies through evidence-based keyword network in order to cope with the change of production paradigm called the Fourth Industrial Revolution (4IR). For the analysis, a total of 441 papers related to NPR or 4IR were extracted and the NPR technology network was constructed based on the simultaneous appearance relationship of the author keywords of these papers. Based on the NPR technology network, we explored key technologies through analysis of centrality and keyword group. As a result, technologies such as 'digital twin' and 'modeling and simulation', discovering insights by connecting the virtual and physical world in real time and reflecting them into design and process, are analyzed as key technologies.

• International Area Studies Review
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• v.16 no.3
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• pp.159-180
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• 2012

The objectives of this study are to identify significant antecedents of trust and satisfaction and to examine the relationship between trust and satisfaction and interrelationship between trust, satisfaction, loyalty, relationship retention and intention of words of mouth based on buyers of Chinese internet shopping mall. The questionnaire was collected by personal interview. A total of 448 completed questionnaires were collected. Confirmatory factor analysis was conducted to test the validity of the measurement model, and the structural model also was analyzed to examine the associations hypothesized in the research model. This study uses AMOS program to investigate the research model. Results in this paper indicate that the antecedents of trust and satisfaction have three dimensions, namely communicational, traditional and relational factors. All these three functions are positively related to trust and satisfaction. Also the results show that trust and satisfaction are positively related to loyalty, relationship retention and intention of words of mouth. Finally, this study suggests the implications of these findings and offers directions for future research.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.1-15
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• 2018

The purpose of this study is to analyze bibliographic information of Busan and other cities' reports for urban development initiative and identify the strategic fields for future smart city plan. Text mining method is used in this study to extract keywords and identify the characteristics and patterns of information in urban development reports. As a result, in earlier stage, Busan city focused on service creation for industrial development but there are lack of discussions on the linkage of information systems with ICT technology. However, recent urban planning in Busan contained various contents related to integrated connections of infrastructure, ICT system, and operation management of city in the specific fields of traffic, tourism, welfare, port/logistics, culture/MICE. This results of study is expected to provide policy implications for planning the future urban initiatives of smart city development.