• 한국경영과학회지
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• 제27권1호
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• pp.95-106
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• 2002

The tilde use of Information Technology (IT), especially the rapid diffusion of the internet, brings us a new paradigm, called "Electronic Commerce," or "Digital Economy." The paradigm is regarded as a business strategy essential to organizations′competitive advantages. Because few studies have been shown in the area of e-strategies, especially in the combined strategies of clicks and mortars, a study of this area is required. The main questions of this study are empirically to validate the usefulness and applicability of a decision roadmap and to analyze the situation of Korean firms in the view of the decision roadmap. Major results of this study are as follows : First, there is an evidence that the roadmap can be applied to Korean firms regardless of their industry and size. Second, the usefulness of the roadmap is proved because companies following the directions of the roadmap show high degree of satisfaction with online sales. Third, Korean companies in general do not achieve an Ideal Integration (or separation), especially In terms of management and operation. In conclusion, this study provides an e-business strategy Planner some guidelines about how to achieve right mix of on-line and off-line business.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2001년도 추계학술대회 논문집
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• pp.79-82
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• 2001

The wide use of Information Technology(IT), especially the rapid diffusion of the internet, brings us a new paradigm, called "Electronic Commerce", or "Digital Economy." The paradigm is regarded as a business strategy essential to organization's competitive advantage. Because very few studies have been performed in the area of e-strategy, especially in the combined strategy of clicks and mortars, a research on this area is needed. The main questions of this study are empirically to validate the usefulness and the applicability of a decision roadmap and to analyze the situation of Korean firms based on the decision roadmap. Major results of this study are as follows; First, there is an evidence that the roadmap can be applied to firms regardless of its industry and size. Second, usefulness of the roadmap is proved since companies that followed the prescription of the decision roadmap showed high degree of satisfaction with online sales amount. Third, Korean firms in general do not achieve the ideal degree of integration (or separation), especially in terms of management and operation. In conclusion, this study provides e-business strategy planners some guidelines about how to achieve right mix of on-line and off-line business.

• 디지털산업정보학회논문지
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• 제17권3호
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• pp.1-7
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• 2021

The number of new students at many domestic universities is declining. In particular, private universities, which are highly dependent on tuition, are experiencing a crisis of existence. Amid the declining school-age population, universities are striving to fill new students by improving the quality of education and increasing the student employment rate. Recently, there is an increasing number of cases of using the accumulated big data of universities to prepare measures to fill new students. A representative example of this is the analysis of factors that affect student employment. Existing employment-influencing factor analysis studies have applied quantitative models such as regression analysis to university big data. However, since the factors affecting employment differ by major, it is necessary to reflect this. In this paper, the factors affecting employment by major are analyzed using the data of University C and the decision tree model. In addition, based on the analysis results, a roadmap for student employment by major is recommended. As a result of the experiment, four decision tree models were constructed for each major, and factors affecting employment by major and roadmap were derived.

• 대한산업공학회지
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• 제41권6호
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• pp.559-571
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• 2015

To strengthen competences, most of firms have co-operated with external partners. This increases the possibility of unexpected conflicts between firms due to the intellectual property litigation. A suitable intellectual property strategy for firms has to be developed to settle this issue. This study aims to analyze an utilization of intellectual property strategy in firms, and tries to suggest a concept of IP roadmap to support intellectual property strategy planning aligned with technology planning process. For the purposes, we derive five types of intellectual property strategy of firms using Korea Innovation Survey. Then, we explore significant affecting factors using a decision-tree and conduct in-depth analysis for them. Lastly, we suggest a concept of IP roadmap, which can be a supporting tool for developing intellectual property strategy in firms, based on analysis results.

• 디지털융복합연구
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• 제15권11호
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• pp.147-153
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• 2017

한국 정부는 공공부문에 클라우드를 도입하기 위한 다양한 정책들을 시행하고 있다. 이 연구의 목적은 공공무문의 클라우드 도입을 위한 의사결정 모델을 개발하고 공공부문의 클라우드 도입 로드맵을 제안하는 것이다. 이를 위하여 공공서비스의 특성과 공공부문의 클라우드 서비스의 유형을 분석하였다. 이를 통해 공공부문의 클라우드 도입을 위한 요구사항을 파악하여, 퍼지 AHP기반의 융합의사결정 모델을 이용한 공공부문의 클라우드 도입방법을 개발하였다. 연구결과 클라우드 도입 후보군의 우선순위를 결정하였고, 이를 기반으로 단계별 클라우드 도입 로드맵을 제안하였다. 이 연구의 결과는 공공부문의 클라우드 도입과 전환 및 클라우드 정책 수립에 도움이 될 것으로 기대한다. 향후에는 클라우드 도입을 위한 추가적인 의사결정요인뿐만 아니라 예산계획을 개발하는 것이 필요하다.

• 한국산학기술학회논문지
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• 제19권12호
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• pp.786-794
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• 2018

첨단산업에 속한 기업들은 빠른 기술변화에 대응하기 위해 전략적 기술기획 활동이 중요하지만, 중소기업들은 자원과 역량이 부족하여 자체적으로 기술로드맵을 수립하는 것은 한계가 있다. 따라서 정부주도로 중소기업 영역의 기술로드맵을 제시하고 이를 근거로 R&D 방향 및 R&D 역량을 지원하는 정책적 노력이 있었다. 2011년 도입한 기술로드맵은 중소기업의 R&D방향성에 이정표 역할을 하고 있으나 기술로드맵과 연계한 R&D투자정책은 미흡하다. 본 연구에서는 기술로드맵 중심의 R&D투자우선순위를 제안함으로써 R&D투자방향 일원화 및 R&D투자정책의 효율성 개선에 기여하고자 한다. 기술로드맵을 활용한 R&D투자정책은 기술로드맵의 R&D전략과 R&D사업별 예산편성을 연계할 수 있는 논리적 근거가 필요하다. 따라서 전략기술 투자우선순위 결정을 위해 '중소기업 R&D 투자우선순위 결정모형'을 제안하고, 실증분석을 위해 기술로드맵 수립에 참여하는 전문가 46명을 대상으로 설문조사를 실시하였다. 기술로드맵의 전략성을 고려하더라도 중소기업의 기술개발 관련 의사결정을 모두 반영하기에는 한계가 있으나, 집중과 선택을 통한 투자우선순위 결정모형을 통하여 R&D정책의 가이드라인 역할과 R&D투자방향 일원화에 기여할 수 있다.

• 디지털산업정보학회논문지
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• 제19권1호
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• pp.129-138
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• 2023

The purpose of this study is to explore factors that directly affect the employment of college graduates. To this end, employment data of graduates of private four-year university in Daegu metropolitan area and Gyeongsangbuk-do province were collected from 2019 to 2021, filtered data using a RapidMiner, and analyzed by applying a decision tree model. As a result of the study, long-term internship for more than 12 weeks, TOEIC score of 787.5 or higher was advantageous for employment, and if there was no TOEIC score, the graduation average score was 3.67 or higher, so the possibility of employment was high. Even if the TOEIC score was low, it was advantageous for employment if participating in the contest and continuous professor counseling, and even if the average graduation score was low, the possibility of employment was high if actively participating in the comparison program. This study can present a job education guide based on actual data to university management and use it to establish policies to support employment of college students.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.249-257
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• 2024

As the main driver of economic growth and employment, the agricultural sector plays an important role in Vietnam's economy. However, in recent years, the sector has faced new challenges and also presented new investment opportunities to stimulate agricultural growth. Many Vietnamese agricultural producers currently lack the modern technology and decision support tools needed to maintain and improve productivity in a rapidly changing environment. Other stakeholders in the agricultural value chain, such as input suppliers, distributors, and consumers, also face significant challenges, including disrupted value chains, transportation costs. The cost of transporting goods across the supply chain continues to increase and information exchange remains fragmented. A potential solution to address these challenges is the application of digital transformation in agricultural supply chains. Farmers and other value chain participants can improve the production of their goods and procedures by utilizing new and cutting-edge technologies that are integrated into a unified system as part of the digital transformation of agricultural supply chains. In this study, we evaluate the current status of digital transformation in the supply chain of the agriculture industry by finding and examining pertinent publications from key agencies as well as prior research. From there, in the framework of the digital economy, this study suggests a digital transformation roadmap for the agricultural supply chain.

• Investigative Magnetic Resonance Imaging
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• 제25권4호
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• pp.266-280
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• 2021

Advances in radiomics and deep learning (DL) hold great potential to be at the forefront of precision medicine for the treatment of patients with brain metastases. Radiomics and DL can aid clinical decision-making by enabling accurate diagnosis, facilitating the identification of molecular markers, providing accurate prognoses, and monitoring treatment response. In this review, we summarize the clinical background, unmet needs, and current state of research of radiomics and DL for the treatment of brain metastases. The promises, pitfalls, and future roadmap of radiomics and DL in brain metastases are addressed as well.

• International Journal of Internet, Broadcasting and Communication
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• 제15권2호
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• pp.227-239
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• 2023

Online marketing is a rapidly growing industry that heavily depends on digital technologies and data analysis to effectively reach and engage consumers. For that, artificial intelligence (AI) has emerged as a crucial tool for online marketers, enabling marketers to analyze extensive consumer data and automate decision-making processes. The purpose of this study was to investigate the ethical implications of using AI in online marketing, focusing on its impact on consumer privacy and decision-making. AI has created new possibilities for personalized marketing but raises concerns about the collection and use of consumer data, transparency and accountability of decision-making, and the impact on consumer autonomy and privacy. In this study, we reviewed the relevant literature and case studies to assess the potential risks and make recommendations for improving consumer protection. The findings provide insights into ethical considerations and offer a roadmap for balancing the advantages of AI in online marketing with the protection of consumer rights. Companies should consider these ethical issues when implementing AI in their marketing strategies. In this study, we explored the concerns and provided insights into the challenges posed by AI in online marketing, such as the collection and use of consumer data, transparency, and accountability of decision-making, and the impact on consumer autonomy and privacy.