• Title/Summary/Keyword: Data Value Chain

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Distribution of Product Value Chain: Do Farmers Receive the Lowest Benefits? The Case of Snubnose Pompano Fishery

  • Duy Ngoc NGUYEN;Nga Thi NGUYEN;Ngoc Van NGUYEN;Chau Minh HO
    • 유통과학연구
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    • 제22권6호
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    • pp.45-56
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    • 2024
  • Purpose: This study utilizes value chain analysis to investigate the distribution of benefits in the snubnose pompano product value chain, aiming to ascertain how these benefits are obtained by the farmers. Research design, data and methodology: The study approaches the assessment components from the economic analysis framework of the value chain. It investigates the various actors involved in the value chain of snubnose pompano fishery products in the South-Central Coast region of Vietnam from 2020 to 2022. Data collection is conducted through direct interviews with the actors utilizing survey questionnaires. Results: The results indicate that farmers, traders, and processors are key actors in the chain. The distribution of benefits between farmers and other actors has improved and tended towards greater harmony over the years. However, farmers receive benefits that are not commensurate with their value-added contribution. Farmers contribute the greatest value-added, but their profit margin share is not commensurate with the ratio of their value-added contribution to the chain. Farmers suffer the highest degrees of losses caused by price fluctuation and production risks, while other actors face smaller risks. Conclusions: The study offers some recommendations to adjust the distribution of benefits and risks among participants in this value chain.

The Globalization and Business Performance of Corporate Value Chain

  • Kwon, Taek-Ho;Park, Hong-Gyue;Cho, Hyuk-Soo
    • 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.

성공적인 6차산업을 위한 가치사슬 모형과 빅데이터 활용 방안 (Value Chain Model and Big Data Utilization for a Successful the 6th Industry)

  • 박상혁;박정선;이명관
    • 디지털산업정보학회논문지
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    • 제11권2호
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    • pp.141-152
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    • 2015
  • Our agriculture and rural villages have faced negative conditions in many reasons. To overcome this situation, a new change is needed by the 6th industrialization. Many agriculture and rural villages in Korea are pursuing the 6th industrialization through the convergence of the primary, secondary, and tertiary industries to vitalize agriculture and rural villages. But there are several problems with the 6th industrialization. There is a limit to the capacity building of the members of the rural organization and Korean agricultural base primary, secondary, and tertiary industries are weak all. In addition, it has been insufficient research for value chain management of the region as a whole; there has been no study of information sharing across the region for the 6th industrialization. This study is about value chain management model for successful the 6th industry with Quick Response System and the big data technology. In this study to provide the efficiency of 6th industry value chain management with customer's needs analysis using big data and research for the information share between the industries in the region through the information pipeline theory of the QR System. We hope that our study is helped to proceed successfully on the 6th industrialization in Korea.

개도국 농업발전을 위한 농산물 가치사슬 개선 전략: 캄보디아 사례를 중심으로 (Improvement Strategies of Agro-Value Chain for Agricultural Development in Developing Countries: The Case of Cambodia)

  • 김동환
    • 유통과학연구
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    • 제14권4호
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    • pp.127-134
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    • 2016
  • Purpose - Value chain in agriculture refers to direct and indirect activities related to value-added process from raw materials to final products in agricultural industries. In recent years, value chain analysis has become more important in the area of agricultural development. This article reviews the concept and importance of value chain analysis in the context of agricultural development and attempts to suggest improvement strategies. Research design, data, methodology - A literature survey was conducted for value chain analysis for agricultural development. The case of agro-value chain in Cambodia was deeply analyzed based upon interviews with government officers and related experts. Results - It seems that agro-value chain in developing countries are not well developed and does not carry out appropriate functions, compared to developed countries. Because value adding facilities, such as storage, processing and packing plants, milling plants, and etc. are not sufficiently constructed, the quality of agricultural products is low. Especially developing countries may loose opportunities to increase value of their product by exporting their agricultural products as raw materials to neighboring countries. Value adding process is also mainly controlled by traders in local markets or wholesale markets in urban areas. Farmers therefore can get lower share of final value of agricultural products compared to the shares paid to traders. Lastly it is argued that governments of developing countries do not play an active role in developing value chains and do not carry out coordinating functions in an effective and efficient manner. Conclusions - The first step to improve agro-value chain in developing countries is to identify and analyze value chain structure of agricultural products and to make development strategies and implementation programs. For improving value chain of agricultural products in developing countries, it is required to provide not only plans for constructing hardwares, such as wholesale markets, storage facilities, processing and packing plants, and etc., but also plans for improving softwares, such as measures for improving product quality and safety, setting up grade and standard, providing market information, and nurturing producer cooperatives.

Construction of an Internet of Things Industry Chain Classification Model Based on IRFA and Text Analysis

  • Zhimin Wang
    • 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.

Research on Participation and Position Evaluation of Korean Manufacturing Global Value Chain: Based on the Comparative Analysis with China and the United States

  • Zhang, Fan;Su, Shuai
    • Journal of Korea Trade
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    • 제25권2호
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    • pp.75-94
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    • 2021
  • Purpose - This article will take the Korean manufacturing industry as an example to estimate Korea's global value chain status from the perspective of overall and sub-industry, hoping to provide a theoretical reference for Korean manufacturing to climb the global value chain. Design/methodology - Based on the WIOD data. The data is calculated by using MATLAB (2014a) coding. The data for 6 sectors are classified according to the International Standard Industrial Classification revision 3 (ISIC Rev. 3), the WIOD data are used to calculate and compare the position, participation and dynamics of the Korea, China and USA' manufacturing industry in the 1995-2016. Findings - The empirical results supported conclusions of the theoretical model. In the Korean GVC of electrical and optical sector, while stronger forward linkages than backward linkages to GVC are advantageous for an average advanced country, the benefits of downstream tasks are pronounced for non-advanced countries. And proved the correlation for an index to capture a country's upstream position or downstream position, it makes sense to compare that Korea's exports of intermediates in the same sector that are used by China and USA. Originality/value - The first is to re-examine the characteristics of South Korea's participation in global value chains under a more systematic and accurate theoretical framework, which provides a new empirical reference for related research; the second is to content covers of the manufacturing 6 sectors, so as to more completely describe the characteristics of Korean manufacturing's participation in global value chains; The value of this paper is providing empirical evidence of the effect of Korea's the GVC of manufacturing sectors. In the GVC of 6 sectors, first three have a higher position in the value chain and are in the upper middle and upper reaches of the GVC. The latter two have a low GVC position index, which has become the main sector that pulls down the overall position of Korea's manufacturing industry.

빅데이터를 위한 가치사슬 설계 (Modeling of Value Chain for Big Data)

  • 이상원;박승범;이주민;안현섭;최용구
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2015년도 제51차 동계학술대회논문집 23권1호
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    • pp.277-278
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    • 2015
  • The volume sub-challenge requires novel approaches, often referred to as Big Data technologies and methodologies. Data is generated constantly in an ever growing number of places and by an ever growing number of actors while a large proportion of potentially re-usable data resides within silos within institutions or companies. These are needed when conventional database technologies cannot be applied to storage and computing issues. The issue of big data has been referred to as the next frontier in computing. In this paper, we research on factors to design an organizational value chain for Big Data.

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Research on the Way to Promote the Value Chain of Animation Digital Publishing in the Context of AI

  • Zhang, Tiemo;Zhang, Mengze;Bae, Ki-Hyung
    • International Journal of Contents
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    • 제15권4호
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    • pp.107-112
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    • 2019
  • With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

랜덤포레스트를 이용한 모기업의 하향 거래처 기업의 분류: 자동차 부품산업의 가치사슬을 중심으로 (Classification of Parent Company's Downward Business Clients Using Random Forest: Focused on Value Chain at the Industry of Automobile Parts)

  • 김태진;홍정식;전윤수;박종률;안태욱
    • 한국전자거래학회지
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    • 제23권1호
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    • pp.1-22
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    • 2018
  • 가치사슬은 경쟁우위 강화를 위한 전략적 도구로써 주로 기업수준, 산업수준에서 분석되어 왔다. 그런데 기업수준에서 가치사슬 분석을 수행하기 위해서는 분석 기업의 거래처 기업들이 그 기업의 가치 사슬에 속하는지의 여부에 따라 분류되어야 한다. 단일 기업에 대한 가치사슬 분류는 전문가들에 의해 원활히 수행될 수 있지만 다수의 기업을 대상으로 분류할 때는 많은 비용과 시간이 소요되는 등의 한계점이 따른다. 따라서 본 연구에서는 실거래 데이터를 기반으로 특정 기업의 거래처 기업들을 분류해서 가치사슬 기업을 자동적으로 도출해주는 모형을 제안하고자 한다. 총 19개의 거래 속성 변수를 실거래 데이터로부터 도출하여 기계학습의 입력 데이터의 형태로 가공하였고, 랜덤포레스트 알고리즘을 이용하여 가치사슬 분류 모형을 구축하였다. 자동차 부품 기업 사례에 본 연구 모형을 적용한 결과, 정확도 92%, F1-척도 76% 그리고 AUC 94%로 자동적 가치사슬 분류의 가능성을 확인하였다. 또한 거래집중도, 거래금액 그리고 거래처별 총 매출액 등과 같은 거래 속성들이 가치사슬에 속하는 기업들을 대표하는 주요 특성임을 확인하였다.

Effects of Social Responsibility Activities of Franchise Chain Hotels on Customer Value and SNS Citizenship Behavior

  • Kim, Joon-Ho;Seok, Bong-Ihn;Lee, Ki-Tai;Yu, Jong-Pil
    • 한국프랜차이즈경영연구
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    • 제8권2호
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    • pp.5-16
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    • 2017
  • Purpose - This study empirically analyzes the effects of social responsibility activities (legal, charitable, environmental, ethical) of franchised chain hotels on customer value and SNS citizenship behavior. Furthermore, this study examines mediating role of customer value on SNS citizenship behavior. Design, data, and methodology - A survey was conducted on customers residing in Korea who had visited the franchised chain hotels in Seoul, Gyeonggi, and other regions, over a period of three months (from October 1, 2016 to December 31, 2016). There were a total of 426 valid samples, and the hypotheses were tested through hierarchical analysis. Results - First, among the social responsibility activities of franchised chain hotels, all four factors of legal, charitable, environmental, and ethical responsibilities had a statistically significant positive effect on customer value. Second, among the social responsibility activities of franchised chain hotels, all four factors had a statistically significant positive effect on SNS citizenship behavior. Third, customer value had a statistically significant positive effect on SNS citizenship behavior. Conclusions - Since social responsibility activities are utilized as a means of direct marketing, for creating and selling images of products and services of franchised chain hotels, it is necessary to become a fixed form of corporate culture.