• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.4
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• pp.10-21
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• 2008

A forest functions classification map is an essential element for the management planning of national forests. This study was intended to make out the map at the stand level by utilizing the Forest Functions Evaluation Program(FFEP), developed by Korea Forest Research Institute. In this program, the potential of each function was evaluated in each grid cell, and then a forest functions estimation map was generated based on the optimum grid cell values in each sub-compartment unit. Finally, the program produced a forest functions classification map with consideration of the priority of the functions. The final forest functions classification map required for the national forest management planning made out overlapping those results which the rest of the forest classified referring priority functions classification map to national forest manager and classified according to the local administrative guidance and sustainable forest resources management guidance. The results indicated that the forest function classification using the FFEP program could be an efficient tool for providing the data required for national forest management planning. Also this study made a meaningful progress in the forest function classification by considering the local forest administrative guidance and sustainable forest resources management guidance.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.203-204
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• 2012

한류 문화산업은 드라마로부터 시작하여 K-Pop으로 영역이 넓어지는 장르의 다양화와 함께 동남아에서 남미, 유럽까지 지역적 영향력도 커져가고 있다. 문화산업 관련 직종 중 기획-경영 분야에는 문화 예술에 대한 지식과 함께 경제학, 경영학, 기술 분야(CT: Culture Technology)의 다양하고 고도의 융합지식 필요하다. 한류 문화산업 전문가는 또한 한류 문화상품이 영향력을 미치는 중국, 일본, 베트남, 서남 아시아권의 지역정보와 해당 국가의 문화, 법, 제도 이해가 필요하다. 이 연구에서는 한류 문화산업의 전문가를 양성하기 위한 산업계의 수요를 분석하고 이들을 양성하기 위한 체계적인 교육과정을 도출하는 프로세스를 제시한다.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.125-139
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• 2021

This study identifies the trend of Korean accounting researches on profit adjustment. We analyzed the abstract of accounting research articles published in Korean Citation Index (KCI) by using text mining technique. Among papers whose themes were profit adjustment, topics were divided into 4 parts: (i) Auditing and audit reports, (ii) corporate taxes and debt ratios, (iii) general management strategy of companies, and (iv) financial statements and accounting principles. Unlike the prediction that financial statements and accounting principles would be the main topic, auditing was analyzed as the most studied area. We analyzed topic trends based on the number of papers by topic, and could figure out the impact of K-IFRS introduction on profit adjustment research. By using Big Data method, this study enabled the division of research themes that have not been available in the past studies. This study enables the policy makers and business managers to learn about additional considerations in addition to accounting principles related to profit adjustment.

• Information Systems Review
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• v.18 no.3
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• pp.137-153
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• 2016

Organizations depend on smart working environments, such as mobile networks. This development motivates companies to focus on information security. Information leakage negatively affects companies. To address this issue, management and information security researchers focus on compliance of employees with information security policies. Countermeasures in information security are known antecedents of intention to comply information security policies. Despite the importance of this topic, research on the antecedents of information security countermeasures is scarce. The present study proposes information security intelligence as an antecedent of information security countermeasures. Information security intelligence adapted the concept of safety intelligence provided by Kirwan (2008). Information security intelligence consists of problem solving skills, social skills, and information security knowledge related to information security. Results show that problem solving skills and information security knowledge have positive effects on the awareness of employees of information security countermeasures.

• The Journal of Information Systems
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• v.29 no.4
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• pp.25-43
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• 2020

Purpose The purpose of this study is to gradually increase the use of O2O services in recent years. It is a part of our daily lives, and accommodation/leisure is a part of the growing use of O2O services. Based on various prior research related to O2O service, the Commission intends to establish the justification and necessity of empirical research and to establish the relationship between O2O service impact factors and practical value, customer satisfaction and reuse intention. Design/methodology/approach This study analyzed what factors affected the intention of re-use of domestic accommodation O2O services. This research model was proposed based on the preceding research paper, and reliability, diversity, economics, leisure, safety and personalization were used as independent variables, practical value and customer satisfaction are parameters, and reuse intent is composed of dependent variables. Within the last year, users of domestic accommodation applications were selected as users who used domestic accommodation applications more than once, and data of domestic accommodation application users were analyzed using the SPSS 25.0 and AMOS 20.0 programs. Findings The results of this study show that economic efficiency, safety and personalization have significant effects on practical values in the relationship between O2O service impact factors and their impact on practical values. On the other hand, reliability, diversity and leisure were found to have no significant impact on practical values. In terms of O2O service impact factors and their impact on customer satisfaction, leisure and safety have significant effects on customer satisfaction. On the other hand, reliability, diversity, economics, and individualization have shown no significant impact on customer satisfaction. Practical values, parameters, customer satisfaction, and re-use intent, which are dependent variables, were also shown to have significant effects on practical values and customer satisfaction in the relationship.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.171-193
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• 2008

Every country of the world in the 21st century is going to push forward the policy protecting their intellectual property right, and international movement to protect their intellectual right is still more strengthened. Under these situations, the firm is required to seek for more efficient methods of technology security and business management while the existence of business itself is at risk. The control of intellectual properties in business should be considered in the patent management. In the company, the industrial property right should be into one of the management resource, and its importance has great influence on the existence of the company. The information in patent data can be used for strategic planning purposes. This study systematically evaluates the patenting behaviour of sample of 27 business firms within the Korean metal industry. Utilizing the patent application data between 2000 and 2005, the relationship between these patenting management and company performance is analysed. This study showed that patent activity per employee and labor productivity are positive relationship, but patent activity per employee and firm size are negative relationship. Since a positive relationship between patenting and company performance could be shown, patent activity gains important as a instrument for R&D planning.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.2
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• pp.47-72
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• 2021

This research aims to examine the cause-and-effect relationship between the user's purchase intention and word-of-mouth for Instagram advertisements. In addition, Instagram currently has many users in the order of Kakao Talk, Facebook, and Instagram. However, most of the previous prior papers are research on the current status of Instagram. Recent research on Instagram advertising has been lacking. This research is academically significant in that it conducted with the focus on advertising on Instagram. In addition, we provide a framework based on future research in that we proposed a model between human psychology and the oral effect on how much Instagram affects purchasing through the theory of emotional response (PAD). Future studies need to demonstrate the relationship between emotion response (PAD) factors that directly affect purchase intent. Finally, it will need to be studied to analyze purchasing patterns using data mining techniques between different social network services.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.321-324
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• 2024

본 논문에서는 LLM(Large Language Models) 기반의 STT 결합 챗봇 시스템을 제안한다. 제조업 공장에서 안전 교육의 부족과 외국인 근로자의 증가는 안전을 중시하는 작업 환경에서 새로운 도전과제로 부상하고 있다. 이에 본 연구는 언어 모델과 음성 인식(Speech-to-Text, STT) 기술을 활용한 혁신적인 챗봇 시스템을 통해 이러한 문제를 해결하고자 한다. 제안된 시스템은 작업자들이 장비 사용 매뉴얼 및 안전 지침을 쉽게 접근하도록 지원하며, 비상 상황에서 신속하고 정확한 대응을 가능하게 한다. 연구 과정에서 LLM은 작업자의 의도를 파악하고, STT 기술은 음성 명령을 효과적으로 처리한다. 실험 결과, 이 시스템은 작업자의 업무 효율성을 증대시키고 언어 장벽을 해소하는데 효과적임이 확인되었다. 본 연구는 제조업 현장에서 작업자의 안전과 업무 효율성 향상에 기여할 것으로 기대된다.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Information Systems Review
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• v.19 no.2
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• pp.159-183
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• 2017

Despite the rapid increase in the use of mobile Internet, only a few studies examined digital divide issues in the mobile internet environment. Prior studies on digital divide mainly focused on the usage environments of consumers. The present study analyzes mobile digital divide by considering user environments and the cognitive values of users. Therefore, we estimated the cognitive value of users in mobile Internet environments through contingent valuation method (CVM). We also analyzed the digital divide factors that cause this value difference. We found that domestic users perceive mobile Internet value up to 51,723 Korean Won per month. We analyzed the value differences of digital divide factors, such as "accessibility," "competency," and "usability." Based on this analysis, we found that a difference of 31,878 Korean Won was generated due to accessibility. Competitiveness resulted in a difference of 7,736 Korean Won, whereas that of usability resulted in 6,463 Korean Won. Accessibility is the most important digital divide factor that maximizes the difference of cognitive value of users in a domestic mobile Internet environment.