http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
자원기반관점(Resource-Based View)의 농업경영체 분석을 통한 전략적 시사점
장익훈 ( Ik Hoon Jang ),김지연 ( Ji Yeon Kim ),최영찬 ( Young Chan Choe ) 한국식품유통학회 2013 食品流通硏究 Vol.30 No.3
In recent years, as the number of agricultural companies like general corporate has been increasing, the scale of agricultural company was been diversified. This study analyzes seven sound agricultural companies, using resource-based view(RBV) framework, in order to investigate difference in terms of resources and core competence among companies by the scale of company. The result shows that resources and capabilities with respect to innovation·production·marketing were different by scale;small, medium, and large. The larger the scale of agricultural companies was, the more important innovation capability and economy of scale were. In case of small scale companies, capability for small quantity batch production was important. Thus, agricultural companies need to differentiate the management strategy by scale, and to develop management capability according to such a company strategy.
다중조직이론 기반의 농업경영체 경영관리능력 향상을 위한 컨설팅 기법과 사례
장익훈 ( Ik Hoon Jang ),문정훈 ( Jung Hoon Moon ),최영찬 ( Young Chan Choe ) 한국농촌지도학회 2014 농촌지도와 개발 Vol.21 No.4
현재 국내에서 많은 농가가 이용하는 경영진단방법 중 하나는 농촌진흥청 농업경영정보시스템 내의 농가경영컨설팅시스템에서 사용되는 경영표준진단표로, 진단결과는 DB화하여 농가경영컨설팅을 위한 자료로 활용되고 있다. 하지만 연도별 농가경영 진단결과 DB화 실적을 살펴보면 매년 실적이 조금씩 감소함을 알수 있는데, 경영진단을 하는 농가 수의 감소는 농가가 경영진단을 통한 실질 효과가 기대에 미치지 못하였거나, 지속적으로 진단할 필요를 느끼지 못하는 등의 불만족 요인이 있음을 알 수 있다. 이러한 맥락에서 농가의 다양한 유형과 규모를 포괄하여 쓸 수 있는 컨설팅 기법의 개발과 실증사례의 발굴이 절실하다. 본연구는 기존의 농가 중심의 농업경영체 경영진단 및 컨설팅 방법에서 부족한 요소들을 보완하고 기업형 농업경영체에도 적용이 가능하도록 경영전략 이론에서 사용되는 다중조직이론과 가치사슬모형을 적용한 경영진단 및 컨설팅기법을 소개한다. 다중조직이론 기반의 컨설팅 기법의 특징은 농업경영체의 경영전략은 크게 효율성추구와 효과성추구의 두 가지 방향이 있으며 경영체의 하부요소들이 경영 전략의 방향과 일치하는 방향으로 적합성(fit)을 맞추도록 하는 것이 특징이다. 즉, 경영체의 전략적 방향에 맞는 경영활동이 중요하며 이를 통해 한정된 자원의 분배를 최적화할 수 있게 된다. 제시된 컨설팅 기법은 농업현장의 경영체들에 실제로 컨설팅을 수행하여 현장실증한 사례를 보여줌으로써 컨설팅 기법에 대한 이해를 높일 수 있도록 하였다. Nowadays, many farmers use online management diagnosis tool developed by Rural development agency(RDA) for the purpose of self-diagnosis of their farm management. Database(DB) was created using the diagnosis results and has been used for agri-firm management consulting. However, the amount of diagnosis data in the DB has been decreasing year by year. This means that the diagnosis tool of RDA did not reach farmers’ expectation. Therefore it is necessary to develop a practical consulting tool which is applicable for various types of agri-firm management. This study introduces a management diagnosis tool and consulting method based on multi-contingency organization theory and value chain model for the purpose of improving existing tools and methods. The consulting method based on multi-contingency organization theory shows the core strategy of agri-firms by two different ways such as “efficiency-oriented” direction and “effectiveness-orientated” direction. Also, this method emphasizes that the performance of firm can be achieved when subelements of firm activities follow the same direction with the orientation of core strategy. The important thing is the right firm management activity fitted to its strategic direction. Through this action, limited firm resources can be optimized. In order to make itself understand, this study shows a practical example applied by this method from actual agri-firms.
공공 기상데이터와 기계학습 모델을 이용한 토양수분 예측
장영빈 ( Young-bin Jang ),장익훈 ( Ik-hoon Jang ),최영찬 ( Young-chan Choe ) 한국농림기상학회 2020 한국농림기상학회지 Vol.22 No.1
As one of the essential resources in the agricultural process, soil moisture has been carefully managed by predicting future changes and deficits. In recent years, statistics and machine learning based approach to predict soil moisture has been preferred in academia for its generalizability and ease of use in the field. However, little is known that machine learning based soil moisture prediction is applicable in the situation of South Korea. In this sense, this paper aims to examine 1) whether publicly available weather data generated in South Korea has sufficient quality to predict soil moisture, 2) which machine learning algorithm would perform best in the situation of South Korea, and 3) whether a single machine learning model could be generally applicable in various regions. We used various machine learning methods such as Support Vector Machines (SVM), Random Forest (RF), Extremely Randomized Trees (ET), Gradient Boosting Machines (GBM), and Deep Feedforward Network (DFN) to predict future soil moisture in Andong, Boseong, Cheolwon, Suncheon region with open source weather data. As a result, GBM model showed the lowest prediction error in every data set we used (R squared: 0.96, RMSE: 1.8). Furthermore, GBM showed the lowest variance of prediction error between regions which indicates it has the highest generalizability.
심은선 ( Eun-seon Sim ),화수빈 ( Su-bin Hwa ),장익훈 ( Ik-hoon Jang ),나준희 ( Jun-hee Na ),김민회 ( Min-hoi Kim ) 한국센서학회 2021 센서학회지 Vol.30 No.6
We developed a highly accurate, yet inexpensive, refractive index (RI)-based soil moisture sensor. To detect the RI, a light guide was set with a light-emitting diode and photodiode. When the air fills the space between the soil particles, most of the incident light is reflected at the interface between the waveguide and the air because of the large RI difference. As the moisture of the soil increases, the macroscopic soil RI increases. This allows incident light to pass through the interface. The intensity of the light reaching the photodiode was simulated according to the change in the soil RI. Using the simulation results, we designed and manufactured a curved glass waveguide. We evaluated the performance of the RI-based soil sensor by comparing it with a commercially available, high-cost and high-performance time-domain reflectometer (TDR). Our sensor was 96% accurate, surpassing the costly TDR sensor.
덴마크 돈육산업의 가치사슬경영 사례 연구 -Danish Crown을 중심으로-
최영찬 ( Young Chan Choe ),박흔동 ( Heun Dong Park ),장익훈 ( Ik Hoon Jang ) 한국식품유통학회 2010 食品流通硏究 Vol.27 No.4
This paper offers new approach to improve Korean pork industry by analyzing a successful case of danish pork industry. Previous studies on Korean pork industry figured out problems of the industry and suggested various solutions. However, the most of the studies have only proposed alternatives for the problems or have not been based on conceptual frameworks. This paper is based on Michael. E. Porter`s five forces framework for a industry analysis and value chain analysis. First step analyzing of competitive environment for danish pork industry based on the five forces framework. The result shows where danish pork industry is located in the global pork industry. Second step explains a strategical decision of danish pork industry within the framework of Porter`s three generic strategies, which one consisted of cost leadership, product differentiation, and focus. Third step is a value chain analysis for danish pork industry. Demark has a distinctive structure of pork industry, which is led by powerful leadership of Danish Crown and of Danish Bacon&Meat Council. Danish Crown is one of the largest meat processing company, and Danish Bacon&Meat Council is an umbrella organization of Danish pork industry. The value chain analysis finds out how these two main agents are coordinated each other and how each of the agents plays a role in a supply chain of danish pork industry. Fourth step shows competitive advantage of Danish pork industry in terms of mass customization, of strategic supplier relationship, and of customer relationship. In conclusion, implications for Korean pork industry are drawn from previous steps.
김인수,홍영호,장익훈 경운대학교 산업기술연구소 2001 産業技術硏究論文誌 Vol.3 No.2(B)
ECR microwave plasma was measured by using the Langmuir probe method. Ion densities, electron temperatures and plasma potentials have been investigated as functions of gas flow rate, ECR power, working pressure, distance and horizontal radius. The ion density was increased with the increase of gas flow rate and ECR power. On the other hand, it was decreased with the increase of horizontal radius, and distance between ECR source and probe. The calculated ion densities were in the range of 9.7×10^11 ∼ 3.7×10^12㎤. The variation of electron temperature and plasma potential shows the opposite tendency compared with that of ion density according to working conditions. The calculated values of electron temperature and plasma potential were in the range of 5.6∼14.4 eV and 27.0∼31.5V, respectively.