• Asian Journal of Innovation and Policy
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• 제5권2호
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• pp.116-128
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• 2016

Value chain analysis has been applied in various fields, from the time the concept of “value chain” was introduced by Porter in 1985. Several frameworks have emerged and have been used to study individual firms, entire industries, industry clusters, as well as global production networks. The purpose of this paper is to provide a brief review of these frameworks, identify factors that influence the performance of value chains, and suggest areas for future research. Since there is a wide range of value chain literature, this paper focuses on a selective set of earlier works within the value chain model as conceptualized by Porter. The study takes note of the many dimensions and applications of value chain analysis, and shows that value chain analysis is an effective way to examine the interaction among different players in a given industry. The study further points out the shortcomings of the traditional or Porter view of value chain analysis.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2002년도 e-Biz World Conference
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• pp.340-342
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• 2002

ASP Value Chain Modeling ㆍ The Value Chain of ASP Player ㆍ The Value Chain of ASP Customer Successful ASP Delivering Model ㆍ Enterprise ASP Remodeling ㆍ ASP Market Prediction(omitted)

• 유통과학연구
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• 제20권12호
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• pp.59-69
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• 2022

Purpose: The purpose of this research is to identify and design a model for the integration between marketing and supply chain management (SCM) of technopreneurship-based souvenirs MSMEs to fulfil customer value creation. Research design, data and methodology: This research method uses the system development life cycle method. This study draws its insights and conclusions from a literature review in several fields followed by an interactive research approach that helps identify, validate, and implement a theoretical framework so that the modelling results can be adopted in applicative manner for souvenir MSMEs. Result: Implementing the "G-ASPOO-L" supply chain management integration model based on technopreneruship to fulfil value creation in the 5.0 society era created three perspectives: an inter-functional perspective, a process perspective, and an integrated business concept perspective. The supply chain management involves enterprise integration, strategic customer integration, strategic supplier integration, and marketing strategy integration. Conclusion: The proposed model framework leads to managerial problems of supply chain management strategy, which urgently requires an interaction approach that challenges the traditional view of demand creation and implementation of supply chain management to fulfil value creation. This research leverages existing knowledge and advances our understanding of the strategic integration issues companies face in digital-based competition.

• 한국경영과학회지
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• 제27권2호
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• pp.63-79
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• 2002

During the last decade many enterprises spent a huge amount of money for investment on Information Technology (IT) & Information System (IS) to attain competitive advantage and to maximize their business performance by satisfying the various requirements of customers. Under such circumstances, methodologies for evaluating IT impact on business performance are very important issues for strategic decision making on investment. In this study, we propose a performance evaluation model that adopts the concept of the Balanced Scorecard (BSC) and the Value Chain to analyze the financial impact and non-financial impact of IT & IS at each critical work area. This model combines the 4 evaluation areas from BSC and 6 critical work areas from Value Chain and measures the Key Performance Indicator (HPI) and the effect of KPI. Also, we present a case study of which the evaluation model has been conducted on a major manufacturing company. finally. we address some important notes to improve the IT & IS performances in the real-world.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.145-147
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• 2016

전통적으로 정보기술은 기업의 가치사슬 구조에 있어서 프로세스의 수행과 효율성에 많은 영향을 가져왔다. 그러나 지금은 IOT라는 새로운 기술의 등장이 기업의 가치사슬의 구조 속에서 새로운 변화를 이끌 뿐만 아니라 새로운 기업 활동에서의 경쟁력으로 등장하고 있다. 이러한 점에서 본 연구에서는 전통적인 기업의 가치사슬 속에서 IOT의 역할을 조명하고자 한다.

• Journal of Korea Trade
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• 제25권3호
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• pp.65-86
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• 2021

Purpose - This paper empirically investigates the relationship between the corporate value chain and performance of non- financial businesses of South Korean stock market companies. It aims to explore the evidence that can be used to infer the relationship between value chains and corporate performance in the case of firms forming a value chain with other companies with the means of an equity investment or a special business relationship. Design/methodology - Non-financial corporations listed from 2011 to 2017 on the securities market of South Korea are analyzed. The data used for analysis are found for transactions with the related party by year for all the corporations of non-financial industries in the securities market. Multiple analysis attempts are conducted including the relationship between the value chain and productivity, corporate value, risk-adjusted corporate value, and mediation effects of productivity. The empirical model employs sixteen variables including the value chain index which identifies its impact on various aspects of business performances. Findings - The results of this study clearly supports the phenomenon that corporate productivity and value are enhanced when the corporation expands its value chain established with domestic related firms and overseas companies. Such a positive effect is statistically significant even after the possible risk factors that accompany the expansion of value chain were considered, and productivity plays the role as a medicating variable in the effect of the value chain on the corporation values. Originality/value - The findings of this study confirms that domestic companies' expansion of their value chain centered on the related firms overseas that helped them in terms of the maximization of their productivity and corporate values. This study shows that Korean government's policy on expanding the corporate GVC can enhance the productivity and value of firms. The expansion of value chain and its impact on business performance has not been explored thoroughly, although it is getting more and more important in the global trade operation.

• 대한산업공학회지
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• 제37권4호
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• pp.323-330
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• 2011

Globalization of market and diversification of customers' needs make enterprises to collaboration of participants in supply chain. To establish collaboration, supply chain must have the flexibility and reconfigurability, which are supported by fractal based supply chain management (FrSCM). In this paper, base on the FrSCM, formulation of trust model among the enterprises in the supply chain, and development of profit sharing strategies in the supply chain based on the trust model are investigated. To evaluate trust model, generation of enterprise's goal and its description, extraction and systematic composition of trust factors and trust evaluation are investigated. Based on the developed model, we developed the fuzzy inference engine to evaluate the trust value in terms of numerical value. And then revenue sharing strategies are developed based on the fractal concept and trust model for the collaborative SCM. The fractal concept is used to obtain the optimal production and transportation plans. In addition, the trust model will be integrated into the RS model. In such an RS model, the supply chain will obtain the maximum total profit and profit of each participant depends on its trust value.

• 인터넷정보학회논문지
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• 제19권1호
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• pp.49-66
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• 2018

본 연구는 VR-AR 체험(Experiential Uses) 행위과정에 나타난 가치단계 요인을 분석(속성, 기능적 혜택, 심리적 혜택, 사용가치), 이용자의 체험 과정에 나타난 욕구와 이용행위 간의 '가치단계도(HVM : Hierarchical Value Map)'에 관한 모형을 구성하는데 목적이 있다. 이를 위해 '수단-목적 사슬 이론(means-end chain theory)'를 적용, 개인적 VR-AR 경험에 나타난 가치사슬을 측정하였다. 본 연구문제를 해결하기 위하여 1차로 AR-VR 콘텐츠 적합도 측정과 2차로 APT래더링을 활용한 구조화 된 설문지를 통하여 135명의 자료를 분석하여 VR-AR 관련 미디어 이용 선택의 '속성'- '기능적 혜택'- '심리적 혜택'- '이용 가치'에 이르는 수단-목적 가치사슬 구조를 파악한 후 가치단계도(HVM)로 VR-AR체험 가치 관계를 실증할 수 있었다. 연구결과, VR 이용자들은 새로운 가상현실 시청각 요소를 통해 현실이탈, 체험의 생생함, 유행선도를 통하여 새로운 성취감, 재미와 즐거움을 통하여 사회생활을 원활히 하고자 하였다. AR이 가지는 생생함과 주변 상호작용을 통하여 자아실현, 타인과 상호작용에 가치를 두고 있으며,'주변인'의 영향이 크게 작용하였고 이들과의 상호작용이 중요한 선택 목적이었다. 이용자들의 VR-AR 선택의 중요 가치는 타인과 상호작용 증진이며 성취감, 행복과 우호적인 가치 속성도 중요하게 고려되었다.

• 수산경영론집
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• 제34권1호
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• pp.87-115
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• 2003

Korean fisheries societies have had many difficulties for economic, social, and living circumstances. The government has tried many projects to improve these circumstances. But the results of the projects did not come up to his expectation. Recently, blue tourism is emerging as an alternative for improving these circumstances. So we applied a tourism value chain model for identifying what value activities and resources needed. According to the tourism value chain model, it was identified that there were six different value activities, i. e. advertising, reserving, moving, experiencing, returning, and after services of blue tourism. To identify which of the resources are sufficient or not in Korean blue tourism, we compared the required resources with actual ones. It was identified that Korean fisheries societies have so sufficient H/W related resources, but not IT related S/W resources, humanware-based resources, some industrial H/W resources and sociocultural resources. Therefore, Korean blue tourism will be activated, we have to concentrate our efforts on supplementing some scant blue tourism resources, i.e. S/W and humanware related resources and developing a variety of tourism programs to H/W resources. Generally, sustainable tourism needs all of S/W, H/W, and humanware resources. So we suggest several policies for the aspects of S/W, H/W, and humanware resources to activate blue tourism. But before carrying these policies out, they should be tested by field studies. And tourism motivations will be also studied because effective tourism marketing is impossible without an understanding of consumers' motivations.

• Journal of Information Processing Systems
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• 제20권2호
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• pp.215-225
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• 2024

With the rapid development of Internet of Things (IoT) and big data technology, a large amount of data will be generated during the operation of related industries. How to classify the generated data accurately has become the core of research on data mining and processing in IoT industry chain. This study constructs a classification model of IoT industry chain based on improved random forest algorithm and text analysis, aiming to achieve efficient and accurate classification of IoT industry chain big data by improving traditional algorithms. The accuracy, precision, recall, and AUC value size of the traditional Random Forest algorithm and the algorithm used in the paper are compared on different datasets. The experimental results show that the algorithm model used in this paper has better performance on different datasets, and the accuracy and recall performance on four datasets are better than the traditional algorithm, and the accuracy performance on two datasets, P-I Diabetes and Loan Default, is better than the random forest model, and its final data classification results are better. Through the construction of this model, we can accurately classify the massive data generated in the IoT industry chain, thus providing more research value for the data mining and processing technology of the IoT industry chain.