• Journal of Agricultural Extension & Community Development
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• v.21 no.4
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• pp.1149-1189
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• 2014

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.

• Journal of the Korea Society of Computer and Information
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• v.20 no.3
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• pp.169-176
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• 2015

The purpose of this paper is to study renovation plan of value chain from a user's viewpoint by making practical application of digital technology. And it is surely meaningful to investigate the important motivation factors of continuous using smart-phone, and to analyze the improving effect toward to the quality of life in continuous using smart-phone. By this study we can expect the value improving effect of user experience. The results of hypothesis testing can be summarized as follows: First, the hypothesis that positive affect has a plus effect on pragmatic value is accepted. Secondly, the hypothesis that positive affect has a plus effect on hedonic value is accepted. Thirdly, the hypothesis that negative affect has a minus effect on pragmatic value is accepted. Fourthly, the hypothesis that negative affect has a minus effect on pragmatic value is rejected. Fifthly, the hypothesis that pragmatic value has a plus effect on life satisfaction is accepted. Sixthly, the hypothesis that hedonic value has a plus effect on life satisfaction is rejected. In the competition among enterprises, user experience instead of goods themselves became influential as a differential factor. And many advanced enterprises began taking a serious view of customer's happiness and user experience improvement.

• Information Systems Review
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• v.4 no.2
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• pp.323-341
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• 2002

Due to the development of information technology, IT industry has become the core factor of a country competence. So we recognized the importance of information network technology as a basis of IT industry. The infrastructure and service in domestic super-highway information networks show the rapid growth both in quantity and quality because of the government programs. However, foreign information network equipment companies have most of the domestic market-share and have controlled core part of the industry, thus national companies are having a difficulty in penetrating the industry market. In this paper, we will analyze domestic super-highway information network equipment industry and make its activating plan using competitive strategy model.

• Economic and Environmental Geology
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• v.41 no.2
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• pp.253-265
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• 2008

Sustainable resource management(SRM) is regarded as the core strategy to achieve Dematerialisation and Decoupling of economic growth from the use of natural resources and environmental degradation. This paper presents status SRM policy and research in worldwide, and analyzes decoupling of economic activity from energy consumption of domestic manufacturing, using decoupling factor. Also This paper suggests methodologies and strategies of SRM in Korea. SRM is established through various analysis and survey as following; forecasting of resource demand, material flow analysis and value chain analysis, resource market structure analysis. Through these analysis, we can obtain hot-spot and solution of environmental burden, recycling market management, recycling technology and best-optimal supply rate of primary and secondary resource. In Korea, resource management system must be linked with national and regional material flow analysis, and it is necessary to make SRM-law of national dimension for effective run of sustainable resource management system.

• Journal of Digital Contents Society
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• v.13 no.2
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• pp.205-211
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• 2012

This paper presents research result of digital marketing model for improving enterprise marketing campaign performance. Recently, the enterprises which had completed projects such as ERP, CRM, and SCM for business value chain process transformation are working to improve enterprise marketing process. It is the trend for enterprises to use digital marketing tactics to overcome the limit of existing traditional marketing tactics. Especially, enterprises try to adopt digital marketing for marketing campaign performance. In this paper, digital marketing research model and hypothesis were established and statistically analyzed by marketing expert survey research. The research finding is that Web Analytics, Social Analytics, Personalized CRM, Campaign execution automation, Real-Time campaign management can be core influencers for marketing campaign performance improvement.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.7
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• pp.157-164
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• 2020

As the consumption of fishery products continues to increase, aquaculture industry has emerged instead of fishing industry facing limitations of fish stock resources. Recently, smart fish farming industry has rapidly developed through convergence with 4th Industrial Revolution technology. Accordingly, it is important to derive a future model of smart fish farming platforms in order to secure the superiority of the aquaculture industry and the technology standard hegemony. In this study, the future direction of smart fish farm platform was derived through the analysis of environment related to politics, economy, society, and technology related to smart fish farming by applying PEST methodology of macro-environment analysis. It is expected that it will help the public and industrial circles in planning and implementing related projects by including the entire process of value chain of aquaculture industry of breeding, production, management and distribution, and by presenting advanced models based on artificial intelligence and digital twin.

• The KIPS Transactions:PartD
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• v.10D no.1
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• pp.161-166
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• 2003

Information lead time is defined as the time spent by processing orders from some buyers, whereas order lead time is defined as producing and supplying the products. The information lead time significantly serve to magnify the increase in variability due to demand forecasting. This paper models a decentralized supply chain composed of cascade type which has four type phases (or divisions) such as retailer, wholesaler, distributor, and factory. Each phases is managed by different centers individually with their own local inventory information. We investigate whether each phase's Information lead time affects companies networked a value chain. In particular, on several experiments performed with a programmed simulation (like a MIT beer game), we study the following question ; Can information lead times do better than material lead times in cost-benefit perspective\ulcorner Can more much Information lead times in downstream reasonably do worser than in upstream when playing the simulation\ulcorner In the conclusion, we show the importance of information lead time on a SC and, besides, guarantee that improvement of information lead time in upstream do more effective than one in downstream in cost-benefit perspective.

• The Journal of Information Systems
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• v.17 no.3
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• pp.205-233
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• 2008

This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.593-601
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• 2017

In this paper, we constructed the model of production/investment, distribution, and screening by using variables that can be considered at each stage according to the value chain stage of the movie industry. To increase the predictive power of the model, a regression analysis was used to derive meaningful variables. Based on the given variables, we compared the difference in predictive power between the artificial neural network, which is a machine learning analysis method, and the decision tree analysis method. As a result, the accuracy of artificial neural network was higher than that of decision trees when all variables were added in production/ investment model and distribution model. However, decision trees were more accurate when selected variables were applied according to regression analysis results. In the screening model, the accuracy of the artificial neural network was higher than the accuracy of the decision tree regardless of whether the regression analysis result was reflected or not. This paper has an implication which we tried to improve the performance of movie prediction model by using machine learning analysis. In addition, we tried to overcome a limitation of linear approach by reflecting the results of regression analysis to ANN and decision tree model.

• Proceedings of the Korean DIstribution Association Conference
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• 2003.02a
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• pp.169-200
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• 2003

소비자의 욕구변화와 정보기술의 발전으로 정보경제시대, 신경제시대가 도래함에 따라 가치사슬이 변화하고, 새로운 가치를 창출하는 신산업이 등장하고 있다. 인터넷의 확산과 더불어 선으로부터의 자유, 개인성, 즉시성이 가능한 모바일 비즈니스가 우리나라에서도 태동하고 있다. 모바일 비즈니스는 금융업체, 정보제공업체, 통신망 운용업체, 최종이용자간의 새로운 가치의 결합이 특징이며, 막 흐름이 만들어지고 발전되고 있는 상황이다. 이와 같이 다양한 이해관계자가개입하고 있어 협력이 특히 강조되고 또 요구되고 있다. 이러한 중요성에도 불구하고 이들간의 관계에 대한 연구가 미흡한 편이다. 따라서 본 연구는 모바일 비즈니스를 주도하고 있는 통신망 제공업체와 모바일 컨텐츠 공급 파트너간의 조직간 협력관계에 대한 실증 연구를 수행하였다. 관계마케팅, 거래비용, 자원기반관점, 네트워크 이론 등 기업간 관계를 기술, 설명, 예측하는 주요이론에서 논의되고 있는 개념을 바탕으로 본 연구는 컨텐츠 공급파트너의 전략적 성과에 영향을 주는 연구 모형을 제시한다. 최근 중요성이 더 강조되고 있는 항목은 신뢰와 결속임을 감안하여, 매개변수로써 전략적 성과에 영향을 주는 주요한 요소로 신뢰와 결속을 제시하고 있다. 컨텐츠 제공업체의 전략적 성과는 서비스제공업체에 대한 신뢰와 결속에 큰 영향을 받고있다는 점을 반영하고 있다. 한편 신뢰에 영향을 주는 독립변수로는 서비스 제공업체에 대한 평판, 서비스제공업체와 컨텐츠 제공 파트너간의 상호의사소통, 그리고 업무처리의 절차에 대한 공정성을 제시하고 있다 결속에 영향을 미치는 독립변수로는 동의된 목표, 업무정보교류, 거래특유자산의 3개의 변수를 선정하였다. 독립, 매개, 종속변수간의 9개의 연구 가설을 수립하였다. 국내의 주도적인 이동통신망소유업체에 모바일 컨텐츠를 공급하고 있는 170여개의 파트너를 대상으로 실증연구를 수행했다. 공변량 구조분석을 위주로 분석한 연구의 결과에 의하면 본 연구의 모델은 충분한 적합성을 보여주고 있는 것으로 나타났다. 또한 가설의 상당수가 채택이 되었다. 그러나 모바일 비즈니스의 기업간관계의 실제측면을 나타내는 업무정보교류와 결속자의 관계의 유의하지 않게 나와 기각되었다. 기각에 대한 여러 가지의 해석이 가능하지만 측정의 신뢰성을 확보해야 하고 개념의 타당성을 더 엄격하게 준수할 필요성이 제기되었다. 본 연구는 조직이론에 근거한 변수를 채택하고 있으나 모바일 비즈니스의 생명주기특성상 태동기이기 때문에 기업간 관계를 연구하는 측면에서는 탐험적 연구성격이 강하다. 더 나아가 본 산업의 주된 연구가 질적이고 기업내부만을 연구했던 것에 비교하면 시초적이라고 할 수 있다. 또한 관계마케팅, CRM 등의 이론적 배경이 되고 있는 신뢰와 결속의 중요성이 재확인하는 결과도 의의라고 할 수 있다. 그리고 신뢰는 양사 간의 상호관계에서 조성될 수 있는 특성을 가진 반면, 결속은 계약관계 초기단계에서 성문화하고 규정화 할 수 있는 변수의 성격이 강하다고 할 수가 있다. 본 연구는 복잡한 기업간 관계를 지나치게 협력적 측면에서만 규명했기 때문에 많은 측면을 간과할 가능성이 있다. 또한 방법론적으로 일방향의 시각만을 고려했고, 횡단적 조사를 통하고 국내의 한 서비스제공업체와 관련이 있는 컨텐츠 공급파트너만의 시각을 검증했기 때문에 해석에서 유의할 필요가 있다. 또한 타당성확보 노력을 기하였지만 측정도구 면에서 엄격한 개발과정을 준수하지는 못했다. 향후에는 모바일 컨텐츠 파트너의 기업의 특성을 조사하여 관계성 변수와의 상호관련연구를 진행할 필요가 있다. 관계기간, 의존성, 거래처의 단/복수여부, 서비스 범주 등의 제반 변수를 고려하여 이러한 변수가 양사와의 관계성 변수에 어떤 영향이 있는가를 검증할 필요가 있다. 또한 신뢰, 결속 등 다차원의 개념에 대한 심도 깊은 연구와 최근 제기되고 있는 이론의 확대도 필요하다. 마지막으로 신뢰와 결속에 영향을 미치는 요소간의 개념적 분류, 차이의 검증, 영향력 등을 광범위하게 진행시킬 필요가 있다.