• Title/Summary/Keyword: Value chain analysis

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Functional Haplotypes and Evolutionary Analyses of SBE1 in Collected Rice Germplasm

  • Thant Zin Maung;Yong-Jin Park
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.216-216
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    • 2022
  • The starch-branching enzymes (BEs) are responsible for synthesizing the amylopectin, which plays an important role in determining the structural and physical properties of starch granules. BE has two differently functioning isoforms (BEI and BEIIa/b) based on their difference in the chain-length pattern by the degree of polymerization (DP), which mainly contributes to the amylopectin chain length distribution in starch biosynthesis. In this study, we investigated functional haplotypes and evolutionary analyses of SBE1 in 374 rice accessions (320 Korean bred and 54 wild). The analyses were performed based on the classified subpopulations. Haplotype analysis generates a total of 8 haplotypes, of which only four haplotypes were functional carrying four functional SNPs in four different exons of SBE1 on chromosome 6. Nucleotide diversity analysis showed a highest pi-value in aromatic group (0.0029), while the lowest diversity value was in temperate japonica (0.0002), indicating the signal of this gene evolution origin. Different directional selections could be estimated by negative Tajima's D value of temperate japonica (-1.1285) and positive Tajima's D value of tropical japonica (0.9456), where the selective sweeps were undergone by both positive purifying and balancing selections. Phylogenetic analysis indicates a closer relationship of the wild with most of the cultivated subgroups indicating a common ancestor for SBE1 gene. FST-values indicate distant genetic relationships of temperate japonica from all other classified groups. PCA and population structure analysis show an admixed structure of wild and cultivated subpopulations in some proportions.

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The Valuation of RFID Using Fuzzy Real Option (퍼지실물옵션을 이용한 RFID 투자가치평가)

  • Lee, Young-Chan;Lee, Seung-Seok
    • Knowledge Management Research
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    • v.9 no.4
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    • pp.113-125
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    • 2008
  • Net present value (NPV) and return on investment (ROI) are commonly used to evaluate investment in new technologies. Sometimes, however, measuring the value of investment in new IT becomes very difficult due to its wide scope of application coupled with embedded options in its adoption. Therefore, comprehensive but easily understandable methodologies are needed to solve the complicated problems resulting from the complexity of new technologies. This paper employs a real option analysis to evaluate RFID adoption in the supply chain. Real options analysis should be a better way to evaluate a disruptive technology like RFID. However, the pure (probabilistic) real option rule characterizes the present value of expected cash flows and the expected costs by a single number, which is not realistic in many cases. To solve the problem, this paper considers the real option rule in a more realistic setting, namely, when the present values of expected cash flows and expected costs are estimated by trapezoidal fuzzy numbers.

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A Relation-based Model for Analyzing Ecosystems of Products, Services and Stakeholders (제품 서비스 시장참여자의 에코시스템 분석을 위한 관계 기반 모델 개발)

  • Kang, Chang-Muk;Hong, Yoo-Suk;Kim, Kwang-Jae;Park, Kwang-Tae
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.1
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    • pp.41-54
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    • 2011
  • A central theme in recent IT (information technology) industry is a mobile ecosystem. While a concept of business ecosystem, which is an economic community of firms and individuals producing and consuming goods and services, has been around for about 20 years now, the recent spotlight is mainly caused by the enormous success of iPhone. Many hand-set makers or platform developers want to mimic Apple's iPhone ecosystem from which both application developers and hand-set users can benefit. In this study, a representation model of the business ecosystem is proposed for supporting systematic design and analysis of ecosystems. Whereas previous studies also proposed some representation models, they emphasized only on the value chain between participating players. The proposed model, which is named relation-based ecosystem model, represents an ecosystem with the requirement relationships between product and service components and the roles of players, as well as their value chain. Such comprehensive representation explicitly reveals the strategic difference between ecosystems. This advantage was illustrated by comparing a Korean traditional mobile ecosystem and an emerging smart-phone ecosystem represented by the proposed model.

Long-Term Relationship Strategies Between Retailer and Suppliers for the Effective Supply Chain Management: Retailer Perspectives toward Food Manufacturers (제조업체와 유통업체간의 장기적 협력관계 구축을 통한 공급사슬관리 방안 : 식품제조업을 대상으로 한 소매업체 관점)

  • Kim Chul-Min;Rho Seung-Hyeok;Cho Kwang-Haeng
    • Journal of Korea Technology Innovation Society
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    • v.8 no.spc1
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    • pp.360-390
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    • 2005
  • The paradigm of the corporate innovations has been changed from the intra-company innovations to the inter-company innovations. A prevalent approach to the inter-company innovations is the supply chain management. Three key words of the core concept of supply chain management are the long-term relationship, resource integration, and value creation. Specifically, it means that the supply chain management aims to make value creation through the resource integration for the supply chain entities, based on the long-term relationship between buyers and sellers. To make more effective long-term relationship among the supply chain entities, it is very important for the supply chain entities to analyze followings: i) What variables can influence the long-term relationship, ii) How these variables can influence to the long-term relationship. However, previous researches mostly deals the long-term relationship in the marketing area in fragment, and thus few research efforts have been done for the development of conceptual model using supply chain management theories. In contrast to previous studies, our research tried to develop and examine the integrative research model by introducing both the marketing theories and the supply chain management theories, and thus related hypotheses are derived. A multiple regression analysis was performed to examine the influence of the antecedents of the long-term relationship, for the 87 retailers of grocery supply chains. The empirical results confirm that cultural similarity, reputation, interdependency, and trust positively influence long-term relationship (i.e., partnership orientation and partnership symmetry). And results also confirm that the supply implementation factors such as organization integration, information system integration, and process integration playa moderating role between antecedents and long-term relationship. These findings suggest that companies should perceive the importance of managing the process, organization, information system integration in the long-term relationship implementation process as well as the factors such as cultural similarity, reputation, interdependency, and trust in the long-term relationship establishment process.

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Tracking Algorithm about Location of One-Hot Signal in Embedded System (Embedded System One-Hot 시그널의 위치 추적 알고리즘)

  • Jeon, Yu-Sung;Kim, In-Soo;Min, Hyoung-Bok
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1957-1958
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    • 2008
  • The Logic Built In Self Test (LBIST) technique is substantially applied in chip design in most many semiconductor company in despite of unavoidable overhead like an increase in dimension and time delay occurred as it used. Currently common LBIST software uses the MISR (Multiple Input Shift Register) However, it has many considerations like defining the X-value (Unknown Value), length and number of Scan Chain, Scan Chain and so on for analysis of result occurred in the process. So, to solve these problems, common LBIST software provides the solution method automated. Nevertheless, these problems haven't been solved automatically by Tri-state Bus in logic circuit yet. This paper studies the simulator and algorithm that judges whether Tri-state Bus lines is the circuit which have X-value or One-hot Value after presuming the control signal of the lines which output X-value in the logic circuit to solve the most serious problems.

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Analysis on The Spatial Distribution of Music Industry Value Chain in Seoul (음악산업의 공간적 분포 연구 -서울시 음악산업 가치사슬을 중심으로-)

  • Hong, Boyeong;Kim, Kyung-min
    • Journal of the Economic Geographical Society of Korea
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    • v.18 no.3
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    • pp.335-347
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    • 2015
  • Music industry is considered as a creative industry, which tends to locate within a city. However, there is very few paper analysing spatial patterns of music industry in Korea. This study aims to understand music industry's value chain and its location pattern; whether it is clustered or dispersed. In detail, music industry contains five sub-industry: planning, manufacturing, distribution, sales and performance. Locational pattern of each sub-industry is tested by GIS and hot spot analysis. There are several findings from this research. First, value chain of music industry make clusters and have a spatial autocorrelation. Second, the result shows that music industry makes a hotspot area at Gangnam, Guro, Mapo and Jongro-Junggu.

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Optimal Inventory Policy in Beer Distribution Game (Beer Distribution Game에서의 최적 재고정책)

  • 조면식;김현수
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.24 no.65
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    • pp.11-22
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    • 2001
  • Recently, many studies on the supply chain management have been published due to increasing attention placed on the design and performance analysis of the supply chain as a whole. Using the Beer distribution game introduced in Sterman[1995], we develop a simple order-up-to-R inventory model to minimize sum of the inventory holding cost and shortage cost under probabilistic demand. We show that performance of the model is robust through extensive simulation experiment. Applying the model to serially connected supply chain, we observe that, if the unit shortage cost is relatively high, R value computed independently is an optimal solution.

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Re-Evaluation of Free Trade Agreement: Changes in Global Value Chain and Regional Value Contents

  • Lim, Byeong-Ho;Ji, Seong-Tae;Yoo, Jeong-Ho
    • Journal of Korea Trade
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    • v.26 no.2
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    • pp.65-83
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    • 2022
  • Purpose - The purpose of this study is to evaluate the economic effects of FTAs using the concept of value-added exports. So far, the economic effects of FTAs have been dependent on decrease in import prices due to tariff cuts in importing countries, but the actual tariff reduction need to consider the value added of the exporting countries. Design/methodology - Value-added export refers to the added value created in the exporting country out of total exports. Among value-added exports, direct value-added export is interpreted as the Regional Value Contents (RVC), from which the economic effect of the FTA can be analyzed. A modified GTAP-VA model takes into account RVC in order to estimate accurate effects of FTAs. Findings - By the re-evaluation of the FTA based on the RVC, this paper makes it clear that the economic effects of the existing FTA methodology have the possibility of overestimation. In addition, as a new FTA with a strengthened Rules of Origin (ROO) is being initiated, a negative impact on international trade and GVC utilization may occur. Originality/value - This study introduces the concept of value-added export in analyzing the effects of FTAs. The new analysis methodology of this paper emphasizes the importance of value-added exports. Re-organization of GVCs would change regional trade agreements and empower ROO by weakening existing GVCs and transforming the value chain from global into regional scope.

The Effect of Economic and Infrastructure Factors on the Formation of Electric Vehicle Supply Chain and Optimal Location Selection: Korea-US FDI

  • Young-Kyou Ha
    • Journal of Korea Trade
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    • v.27 no.5
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    • pp.23-40
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    • 2023
  • Purpose - This study aims to present the changes and directions in the automotive supply chain in the face of changes in the global supply chain caused by external factors and the integration of industries resulting from internal factors. Assuming FDI in the Korean automotive industry in the US, this study analyzed the influential factors over the long term and derived the optimal location. Design/methodology - For this analysis, the characteristics and current status of the automotive industry are presented. Additionally, the study emphasizes the necessity and direction of change. The factors influencing Korea-US FDI in the automotive industry and the electric vehicle industry were analyzed through panel analysis. The optimal location from the perspective of distribution costs was selected using linear programming under the assumption that local demand will be replaced by local production in the future. Findings - This study found that the electric vehicle supply chain will change with the characteristics of the electric and electronic industries rather than with the traditional automotive industry. Additionally, in deriving the optimal location, the study emphasized the proximity to the consumption market. Originality/value - The analysis method and conclusions of this study not only present the influential factors and direction of FDI in the automotive industry but also can be applied to other industries. Moreover, the study provides practical and policy implications for industries and governments considering FDI in the US.

Linking Service Perception to Intention to Return and Word-of-Mouth about a Restaurant Chain: Empirical Evidence

  • GARA, Edwen Huang;GARA, Edwin Huang;RAHMAN, Fathony;WIBOWO, Alexander Joseph Ibnu
    • Journal of Distribution Science
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    • v.21 no.1
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    • pp.73-83
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    • 2023
  • Purpose: This study analyzed the influence of restaurant service perception on customer satisfaction and its implications on customers' attitude towards, intention to return to, and word-of-mouth (WOM) regarding a restaurant chain. Research design, data and methodology: Data from 421 respondents were collected using the convenience sampling method. After analyzing the data normality and removing responses with missing data and outliers, 342 responses were selected for further analysis, and the hypotheses were tested using Structural Equation Modeling (SEM). Results: We found that service perception affected customer satisfaction and customer satisfaction affected the customers' attitude toward the restaurant chain, which affected customers' intention to return and WOM about the restaurant chain. Conclusions: This paper provides one of the most important empirical results for managers in the restaurant sector, especially in Indonesia. Restaurant managers should thus provide training to their employees to improve the quality of the interaction with the customers and thereby increase customer satisfaction. The limitations listed in this study include the exclusion of respondents' income. For future research, we suggest investigating models of customer participation or consumer value co-creation for restaurant marketing success. Consumers are generic actors in the service ecosystem engaged in the value co-creation process.