• 대한안전경영과학회지
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• 제11권3호
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• pp.139-148
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• 2009

In a real-life supply chain environment, demand forecasting is usually represented by probabilistic distributions due to the uncertainty inherent in customer demands. However, the customer demand used for an actual supply chain planning is a single deterministic value for each of periods. In this paper we study the choice of single demand value among of the given customer demand distribution for a period to be used in the supply chain planning. This paper considers distributed multi-echelon supply chain and the objective function of this paper is to minimize the total costs, that is the sum of holding and backorder costs over the distribution network under the service level constraint, by using demand selection scheme. Some useful findings are derived from various simulation-based experiments.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.19-28
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• 2021

The present study aims to evolve the value cycle of e-business through value co-creation during the Coronavirus pandemic. The population of the study is experts consisting of university professors in the fields of marketing management, e-commerce, and managers of organizations and companies in Iran. Using the snowball sampling method, 50 of them were selected as the sample. This study employs the factor analysis method and structural equation modeling (SEM) approach for identification of the factors. The findings of this study reveal that 10 factors affect the evolution of the value chain into the value cycle, including customer relationship management, e-literacy, value co-creation, e-readiness, and integrated value creation, the logic of service dominance, shared value creation, virtual culture, e-trust, and network economics. Despite the difficulties that COVID-19 has created for businesses worldwide, the evolution of the e-business value cycle through value co-creation in the Coronavirus pandemic can be considered as a positive aspect of the pandemic. In fact, with more pandemics and more customers turning to e-businesses due to the co-creation of customer value, e-businesses can cover their weaknesses and improve their strengths by engaging customers and receiving their feedback, thus transforming their value chain into the value cycle.

• 한국경제지리학회지
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• 제9권1호
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• pp.39-60
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• 2006

가치사슬 분석은 기존의 정량적 산업분석과는 다르게 분석의 초점이 단순 제조에서부터 제품과 서비스를 소비자에 공급하는 활동에까지 맞추어지기 때문에, 오늘날과 같이 경제의 서비스화가 심화되고 있는 상황 하에서 제조업과 서비스업의 경계가 불분명한 문화산업을 분석하는데 매우 유용한 분석틀이다. 본 연구는 경북 문화산업의 가치사슬을 분석하여 경북 문화산업의 강점과 약점을 파악하고, 나아가 가치사슬내 활동을 통한 혁신창출메카니즘의 이해를 통해 문화산업역랑을 강화하는 방안을 제시하였다. 첫째, 고부가가치단계이자 상대적으로 저학력 인력을 필요로 하는 유통 배급 및 홍보 마케팅 업체의 창업 및 유치를 도모하고 전문화를 강화시킨다. 둘째, 기업간 네트워크를 강화하여 장비의 공동 구입 및 이용 지원, 인력 및 기술 정보 교류를 활성화시킨다. 셋째, 이원화된 인력 양성 시스템을 구축하고 개방된 기업문화를 육성한다.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.245-256
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• 2021

Poor logistical infrastructure and agri-food supply chain management leads to significant food waste in logistic system. The concept of the sustainable value added agri-food chains requires defined approach to the analysis of the existing situation, possible improving strategies and also assessment of these changes impact on further development. The purpose of research is to provide scientific substantiation of theoretical and methodological principles and develop practical recommendations for the improvement of the agri-food logistics distribution system. A case study methodology is used in this article. The research framework is based on 4 steps: Value Stream Mapping (VSM), Gap and Process Analysis, Validation and Improvement Areas Definition and Imitation Modelling. This paper presents the appropriateness of LEAN logistics tools using, in particular, Value Stream Mapping (VSM) for minimizing logistic losses and Simulation Modeling of possible logistics distribution system improvement results. The algorithm of VSM analysis of the agri-food supply chain, which involves its optimization by implementing the principles of sustainable development at each stage, is proposed. The methodical approach to the analysis of possible ways for optimizing the operation of the logistics system of the agri-food distribution is developed. It involves the application of Value Stream Mapping, i.e. designing of stream maps of the creation of the added value in the agri-food supply chain for the current and future state based on the minimization of logistic losses. Simulation modeling of the investment project on time optimization in the agri-food supply chain and economic effect of proposed improvements in logistics product distribution system functioning at the level of the investigated agricultural enterprise has been determined. Improvement of logistics planning and coordination of operations in the supply chain and the innovative pre-cooling system proposed to be introduced have a 3-year payback period and almost 75-80% probability. Based on the conducted VSM analysis of losses in the agri-food supply chain, there have been determined the main points, where it is advisable to conduct optimization changes for the achievement of positive results and the significant economic effect from the proposed measures has been confirmed. In further studies, it is recommended to focus on identifying the synergistic effect of the agri-food supply chain optimization on the basis of sustainable development.

• Journal of Korea Trade
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• 제25권6호
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• pp.78-104
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• 2021

Purpose - Semiconductors are a significant export item for Korea that is expected to continue to contribute significantly to the Korean economy in the future. Thus, the semiconductor industry is a critical component in the 4th Industrial Revolution and is expected to continue growing as the non-face-to-face economy expands as a result of the COVID-19 pandemic. In this context, this paper aims to empirically investigate how semiconductors are imported and exported in Korea from a global supply chain perspective by analysing import and export data at the micro-level. Design/methodology - This study conducts a multifaceted analysis of the global supply chain for semiconductors and related equipment in Korea by examining semiconductor imports and exports by semiconductor type, year, target country, mode of transportation, airport/port, and domestic region, using import/export micro-data. The visualisation, flow analysis, and Bayesian Network methodologies were used to compensate for the limitations of each method. Findings - Korea is a major exporter of semiconductor memory and has the world's highest competitiveness but is relatively weak in the field of system semiconductors. The trade deficit in 'semiconductor equipment and parts' is clearly growing. As a result, continued investment in 'system semiconductors' and 'semiconductor equipment and parts' technology development is necessary to boost exports and ensure a stable supply chain. Originality/value - Few papers on semiconductor trade in Korea have been published from the perspective of the global supply chain or value chain. This study contributes to the literature in this area by focusing on import and export data for the global supply chain of the Korean semiconductor industry using a variety of approaches. It is our hope that the insights gained from this study will aid in the advancement of SCM research.

• Asian Journal of Business Environment
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• 제4권3호
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• pp.27-37
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• 2014

Purpose - In the past, designs for traditional products have usually focused on historic techniques. However, this tradition of using historic techniques has now been replaced by the trend of using the innovative design concept. Research design, data, and methodology - To measure future market trends and quality requirements, we apply the results of the questionnaires and analyze them with various experimental processes and a design methodology. In this way, we gauge the impact of the innovative product value chain on the promotion of new products. Results - Accompanied with an innovative product value chain, the product can stimulate the development of enterprise management, which has become the main issue in social and economic development in every developed country, and can facilitate the progress of enterprise management throughout the enterprise. Conclusions - Customer demand should be emphasized as the primary means to solve design problems, to design optimal solutions, to create differentiation with competitors, and to pursue optimal marketing strategies.

• 대한지리학회지
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• 제46권3호
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• pp.351-365
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• 2011

본 연구는 지역자원기반산업의 지역경제공간의 형성을 살펴보는 것을 목적으로 한다. 본 연구에서는 기존의 기업 네트워크 분석방법과 가치사슬의 개념을 통합하는 연구틀을 고안하였다. 주활동으로 원료구매에서 생산, 판매에 이르는 기업활동 네트워크를 살펴보았으며, 지원활동으로 연구개발과 기업지원서비스 네트워크를 살펴보았다. 이 연구틀을 기반으로 지역자원기반산업을 유형화하고 이 유형들을 종합하여 살펴봄으로써, 지역자원기반산업의 공간적 특성을 살펴볼 수 있었다. 본 연구에서는 이 연구틀을 소개하고 한국 대표적인 지역자원기반산업인 장류제조업에 적용하여, 장류산업의 기업활동 네트워크를 분석하고, 이를 종합하여 지역자원기반산업의 역동성을 살펴보았다.

• 무역학회지
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• 제47권4호
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• pp.137-159
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• 2022

This study aims to analyze international trade papers published in Korea during the past 2002-2022 years. Through this study, it is possible to understand the main subject and direction of research in Korea's international trade field. As the research mythologies, this study uses the big data analysis such as the text mining and Social Network Analysis such as frequency analysis, several centrality analysis, and topic analysis. After analyzing the empirical results, the frequency of key word is very high in trade, export, tariff, market, industry, and the performance of firm. However, there has been a tendency to include logistics, e-business, value and chain, and innovation over the time. The degree and closeness centrality analyses also show that the higher frequency key words also have been higher in the degree and closeness centrality. In contrast, the order of eigenvector centrality seems to be different from those of the degree and closeness centrality. The ego network shows the density of business, sale, exchange, and integration appears to be high in order unlike the frequency analysis. The topic analysis shows that the export, trade, tariff, logstics, innovation, industry, value, and chain seem to have high the probabilities of included in several topics.

• Journal of Korea Trade
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• 제25권3호
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• pp.21-47
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• 2021

Purpose - Offshoring has emerged as one of the major trends in international trade and has become one of the strategies for achieving competitiveness in the global market. In spite of this, the expected gains of offshoring can be offset by hidden costs and risks, such as those associated with the COVID-19 pandemic, the trade war between the USA and China, and the ongoing trade dispute between Korea and Japan. To obviate such business failure and prevent critical business blunders, offshoring strategies that efficiently consider both risk elements and potential wealth creation are urgently need. The first purpose of this study is to contribute to the development of more advanced offshoring strategies to help host countries select the best locations to manage supply chain risks and create unique value. The second purpose is to specifically analyze the current status of Korea and provide Korean companies with implications to be considered when deciding whether to offshore or re-shore. Design/methodology - A Network DEA model was applied to measure the comparative location efficiency of national competencies for offshoring strategy from perspectives of wealth creation opportunities (profitability and marketability) and supply chain risk management. The location efficiencies are compared among a total 70 countries selected from the Global Competitiveness Index (GCI) and globally attractive locations outlined by Kearney (2017). For the secondary analysis of efficiency, a t-test examining the nature of competitive advantage and the level of sophistication in production processes was implemented in three divisions. We then analyzed differences in offshoring performance in terms of the identified national traits. Moreover, Tobit regression analysis is conducted to investigate the correlation between value-added business activities and each divisional efficiency, seeking to determine how each degree of value-added business activity influences the increase in offshoring productivity. Findings - Regarding overall location efficiency for offshoring performance, only the USA and Italy were identified as being efficient as host countries for offshoring, under circumstances of advanced development, such as productivity and risk management. Korea ranks 13th among 70 countries. The determinants of national competitiveness depend on national traits (the nature of competitive advantage and business sophistication). Countries with labor/resource advantages and labor-intensive industries are more competitive in terms of marketability than others. In contrast, countries with strong technology-intensive industries benefit offshoring companies, particularly in the technology sector, with the added advantage of supply chain risk management. As the perception of a value chain is broader in a country, it can achieve both production sophistication and competitive advantages such as marketability and SCRM. Originality/value - Existing studies focus on offshoring effectiveness from a company perspective. This paper contributes to comparing country efficiency in producing core competencies related to an offshoring strategy and also segments countries into three performance-based considerations associated with the global offshoring market. It also details Korea's position as an offshoring location according to national efficiency and competency.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.643-650
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• 2005

The object of this study is the development of a measuring framework for supply chain flexibility. Prior to treat supply chain flexibility, time flexibility, quantity flexibility, and cash-flow flexibility for each company are newly suggested. Especially, all developed measures can deal with the monetary point of view through various cost functions. Then weights of time flexibility, quantity flexibility, cash-flow flexibility are determined to find the effect of the level of flexibility in the supply chain. This is based on the relationship between the ratio of profit to revenue and value of three developed flexibility measures. To find the level of weight for each flexibility measure, neural network theory is used. Then the forecasting of the ratio of profit to revenue for all companies in the next period can be available. Therefore, all companies in the supply chain can control their operating processes to improve flexibility.