• 지역연구
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• 제34권4호
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• pp.61-74
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• 2018

본 연구의 목적은 스마트시티 산업의 융합변화를 분석하는 것이다. 스마트시티의 연관 산업은 정보통신기술 및 지식 기반의 건설 산업으로 정의할 수 있다. 본 연구는 1980년, 2014년 한국은행에서 발표한 산업연관표를 이용하여 투입산출분석과 구조경로분석을 수행하였다. 산업연관표 자료는 2개년도 비교분석을 위해 국내총생산 가격수정인자(GDP Deflator)가 적용되었다. 산업의 분류는 403개 산업을 기준으로 27개 그리고 8개 산업으로 분류되었다. 분석 결과는 다음과 같다. 첫째, 투입산출계수 분석에 따르면, 정보통신 서비스 산업(ITS)과 에너지 공급 산업(EnS)은 건설 산업에 투입량이 증가되었다. 반면에 지식 서비스 산업(KS)과 기타 서비스 산업(EtS)은 감소하였다. 둘째, 생산유발계수 분석 결과, 건설 산업(C)은 정보통신 서비스 산업(ITS), 에너지 공급 산업(EnS), IT 제조 산업(ITM) 그리고 비 IT 제조 산업(NITM) 순으로 직 간접적인 영향을 미쳤으며, 가장 큰 변화량을 보인 산업은 정보통신 서비스 산업(ITS)으로 분석되었다. 셋째, 구조경로분석 결과, 스마트시티 산업은 117개의 새로운 생산경로를 만들었으며, 구조적 세분화를 이끌어내고 있었다. 산업의 융합변화는 정보통신 서비스 산업(ITS), 에너지 공급 산업(EnS), 비 IT 제조업(NITM), IT 제조업(ITM)을 중심으로 진행되고 있었다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.43-49
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• 2024

In early 2020, as the COVID-19 pandemic hit the world, widespread changes occurred throughout society. COVID-19 also brought changes in consumers' consumption behaviors and preferences. This study aims to find out how the current status of the tourism industry and the coffee industry has changed since the end of COVID-19 by conducting big data analysis focusing on the search frequency of Naver, Google, and the following, which are representative social networks in Korea. Designating "Coffee Industry + Tourism Industry" as the representative keyword, January 1, 2020 to December 31, 2020, the time of each COVID-19 outbreak, was set before the COVID-19 type, and January 1, 2023 to December 31, 2023 was set after the end of COVID-19. Based on the analyzed search binder big data analysis within the period, we would like to find out how the current status of the tourism industry and the coffee industry has changed since the end of COVID-19. Finaly, the coffee and tourism industries are on the path of recovery and growth. In particular, the rise in coffee consumption, the recovery of the number of tourists, the emphasis on local tourism, and the strengthening of links with global markets are prominent.

• Journal of Information Technology Applications and Management
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• 제18권2호
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• pp.1-21
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• 2011

In this era of convergence, which is characterized by the integration and combination of technology and industries, broadcasting and communications, offline and online, and devices and services, the content industry is also experiencing rapid changes including inter-genre exchange, the creation of new industries, and customized demand. Specifically, IT-based digital content industries such as the online game, e-book, mobile contents and web portal industries are no longer restricted to the boundaries of video, music and games but are being expanded into the realms of education, medicine, fashion and sports thanks to CT innovation of 3D, CG, AR/VR, VFX, etc. As such, various countries have come to recognize the convergent content industry as a new growth engine that will pick up where the IT industry left off, and are forming policies for its development accordingly. This research aims to optimize the system of content taxonomy which is currently genre-focused and unable to support technological development and convergence, and to discover and select star contents to be rigorously developed with governmental support. In this paper, 20 star contents in 8 areas were selected, and these are expected to create tremendous cultural and economic value through ongoing technological and industrial development.

• 한국산업정보학회논문지
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• 제25권3호
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• pp.11-19
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• 2020

ICT 기반 산업 융합의 중요성이 대두됨에 따라 본 연구에서는 이를 체계적인 방법으로 정량화하여 측정하고자 한다. 구체적으로는 ICT 산업을 ICT 제조업과 ICT 서비스업으로 분류한 후, 구조적 공백 이론 관점에서 산업연관표의 데이터를 분석하여 산업 간 융합 네트워크 구조에서의 ICT 산업의 효율성과 제약성을 확인하였다. 분석 결과 ICT 제조업과 ICT 서비스업 모두 정보 효익과 통제 효익이 매우 높은 것으로 드러나, 산업 간 융합 과정에서 경쟁 우위의 위치에 있는 핵심 산업인 것으로 입증되었다. 또한, ICT 제조업과 ICT 서비스업의 직접적인 비교와 지난 15년간의 추세 분석 결과를 토대로 추가적인 시사점을 제시하였다.

• 한국융합학회논문지
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• 제6권6호
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• pp.111-117
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• 2015

디지털콘텐츠 산업은 새로운 기기와 기술의 발전, 장르, 기술간 융합화 현상으로 성장이 예상되고 있다. 그러나, 초기 투자 비용이 많이 소요되고 불확실한 수익성 때문에 디지털콘텐츠 분야에 대한 금융지원제도는 활성화되지 못하고 있다. 본 논문은 기술가치평가를 이용하여 디지털콘텐츠 기업들의 금융 활성화 방안에 관한 연구이다. 이를 위하여 첫째, 디지털콘텐츠 기업들의 현황(자금조달 현황과 매출액 등)을 살펴본다. 둘째, 분석된 디지털콘텐츠 기업들의 현황을 바탕으로 금융활성화 방안을 논한다. 본 연구는 기술가치평가를 활용한 금융활성화 방안 도출에 도움을 줄수 있다.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• 식품보건융합연구
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• 제10권3호
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• pp.19-22
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• 2024

The field of synthetic biology has emerged in response to the ongoing progress in the life sciences. Advances have been made in medicine, farming, eating, making materials, and more. Synthetic biology is the exploration of using living organisms to create new organisms. By manipulating specific genes to express targeted proteins, proteins can be created that are both productive and cost-effective. Solid-phase extraction (SPE) and liquid-liquid extraction (LLE) are employed for protein separation during the production process involving microorganisms. This study centers on Scanning Probe Microscopy (SPM) to showcase its utility in the food industry and food management. SPE is predominantly utilized as a pretreatment method to eliminate impurities from samples. In comparison to LLE, this method presents benefits such as decreased time and labor requirements, streamlined solvent extraction, automation capabilities, and compatibility with various other analytical instruments. Anion exchange chromatography (AEC) utilizes a similar methodology. Pharmaceutical companies utilize these technologies to improve the purity of biopharmaceuticals, thereby guaranteeing their quality. Used in the food and beverage industry to test chemical properties of raw materials and finished products. This exemplifies the potential of these technologies to enhance industrial development and broaden the scope of applications in synthetic biology.

• 디지털융복합연구
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• 제13권5호
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• pp.9-19
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• 2015

본 연구는 K 국립대학에서 수행한 산학협력중심대학 육성사업의 산학협력 프로그램을 설문 분석하고, 산학협력 프로그램의 선정, 지원, 성과분석의 순환적 평가 모형을 제시하였다. 산학협력 프로그램의 만족도와 중요도는 양의 상관관계가 있는 것으로 나타났으며, 만족도와 참여 프로그램 수도 회귀모델에 의하면 양의 상관관계를 가진다. 본 연구결과를 기반으로 중소기업을 대상으로 한 산학협력 확산 모형을 제시하면 다음과 같다. 초기단계에서는 산학협력 협의회 등 네트워크 형성 활동을 통해 지원정책 및 활동에 대한 정보를 제공하고, 다음 단계로 참여기업의 요구활동인 기술지도 및 기술개발과제 등의 기술교류 활동 진행하고, 이를 기반으로 다양한 프로그램 활동을 해당기업에 전개해 나감으로써 산학협력사업의 활용도를 높이고, 이후 기업-대학 간의 고유의 활동 프로그램을 전개하여 산학협력의 성과를 달성한다.

• 한국산학경영학회:학술대회논문집
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• 한국산학경영학회 2005년도 추계학술발표대회 발표논문집
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• pp.73-94
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• 2005

This paper investigates the performance consequence of strategic changes when firms move closer to or further away from other firms in the industry. The study suggests a theoretical framework and hypotheses on the effect of strategic convergence and divergence on performance, and tests hypotheses with firm-level longitudinal data on the U.S. food processing industry during the period of 1985-2000. The study shows that strategic divergence is negatively related to performance, and that organizational size and firm-specific uncertainty significantly influence the effect of strategic convergence and divergence on financial performance. Particularly, high uncertainty seems to be conducive to financial performance improvement for organizations undergoing significant strategic changes converging toward other competitors. On the other hand, big organizational size seems to be beneficial for finns implementing strategic changesdiverging from other competitors.