• Title/Summary/Keyword: 농식품 산업

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A Study on Food Certification Method using Electronic Authentication (전자인증을 활용한 식품인증 방안 연구)

  • Lee, Jeong-Ryul;Kim, Young-Ok
    • Proceedings of the Korea Contents Association Conference
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    • 2011.05a
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    • pp.385-386
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    • 2011
  • 본 연구의 목적은 전자식별 체계를 식품인증에 적용해 농식품의 안전성, 기능성을 인증하고 농식품 품질인증 마크와 연동한 효과적인 식품인증 방안을 제시하는 것이다. 또한 전자인증 기술을 활용해 농식품 품질을 손쉽게 확인하고, 주요 식품정보를 언제, 어디서나 활용할 수 있는 방안을 제시하고자 한다. 최근 모바일 기술을 활용한 QR코드 기반의 전자인증이 여러 사업 분야에서 사용되고 있는데, 이를 식품인증에 적용하여 식품인증의 효과성, 효율성, 편의성을 증진시킬 것으로 기대한다. 또한, 본 연구를 통하여 물류, 제조, 생산, 유통 산업에서 활용하고 있는 전자인증 체계(RFID, 바코드, QR코드 등)를 식품인증에 적용하여 식품상품의 정보를 손쉽게 확인하고 식품 정보조회를 통해 식품 품질을 검사하는데 사용할 수 있을 것으로 기대한다.

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The Effects of Technology Commercialization Capability and Competitive Strategy of Agri-food Venture on Growth Prospects: Focused on Mediating Effect of Business Model Innovation (농식품 벤처기업의 기술사업화역량과 경쟁전략이 성장전망에 미치는 영향: 비즈니스모델 혁신의 매개효과를 중심으로)

  • Ahn, Mun Hyoung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.4
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    • pp.73-86
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    • 2022
  • Interest and investment in agri-food ventures is increasing worldwide. Agri-food venture startups are also increasing in Korea, but there are constraint factors due to industrial characteristics, and infrastructure and investment for growth are insufficient. This study confirmed the effect of technology commercialization capability and competitive strategy on the growth prospects of agri-food venture companies and the mediating effect of business model innovation. And, through comparison with previous studies, the industrial characteristics were identified by confirming the difference between all venture companies and agri-food ventures. For this, only agri-food ventures data were extracted from the original data of the Research on the Precision Status of Venture Firms 2021. And empirical analysis was conducted. As a result, manufacturing capability, cost leadership and product differentiation had a positive(+) effect on growth prospects. The mediating effect of business model innovation between manufacturing capacity, product differentiation and growth prospects was verified. Through the research results, factors affecting the long-term growth prospects of agri-food ventures were identified in consideration of industrial characteristics. In addition, practical implications in connection with business model innovation of agri-food ventures were presented. In future research, it is necessary to develop an objective measurement tool and to conduct a detailed analysis according to business history and company size.

A Study on Foreign Exchange Risk Managements in the Korean Agro-food Industry (환율변동에 따른 농식품산업 무역적자 관리방안에 관한 연구)

  • Lim, Sung-Soo;Nam, Jae-Woo
    • Journal of Convergence for Information Technology
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    • v.9 no.12
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    • pp.133-140
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    • 2019
  • This study examines the reason of a staggering trade deficit on the Korean agro-food industry. To achieve the goal of the study, this study suggests the policy implication for enlargement a trade deficit with foreign exchange rate. Despite the majority of grain importer does realize that there is a huge affection for price volatility on the business result, they are more likely to take flat pricing through the physical market to avoid risk of price volatility with exchange rate. Also the analysis of external and internal environments around the Korean agro-food export & import are conducted, particularly with the analysis of trade volume and food price affecting the export & import. Results from a survey show that the common factor to the effective use of overseas agricultural and foreign currency futures trading for grain traders in Korea.

The Influential Factor Analysis in the Technology Valuation of The Agri-Food Industry and the Simulation-Based Valuation Analysis (농식품 산업의 기술평가 영향요인 분석과 시뮬레이션 기반 기술평가 비교)

  • Kim, Sang-gook;Jun, Seung-pyo;Park, Hyun-woo
    • Journal of Technology Innovation
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    • v.24 no.4
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    • pp.277-307
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    • 2016
  • Since 2011, DCF(Discounted Cash Flow) method has been used initiatively for valuating R&D technology assets in the agricultural food industry and recently technology valuation based on royalties comparison among technology transfer transactions has been also carried out in parallel when evaluating the technology assets such as new seed development technologies. Since the DCF method which has been known until now has many input variables to be estimated, sophisticated estimation has been demanded at the time of technology valuation. In addition, considering more similar trading cases when applying sales transaction comparison or industry norm method based on information of technology transfer royalty, it is an important issue that should be taken into account in the same way in the Agri-Food industry. The main input variables used for technology valuation in the Agri-Food industry are life cycle of technology asset, the financial information related to the Agri-Food industry, discount rate, and technology contribution rate. The latest infrastructure building and data updating related to technology valuation has been carried out on a regular basis in the evaluation organization of the Agri-Food segment. This study verifies the key variables that give the most important impact on the results for the existing technology valuation in the Agri-Food industry and clarifies the difference between the existing valuation result and the outcome by referring the support information that is derived through the latest input information applied in DCF method. In addition, while presenting the scheme to complement fragment information which the latest input data just influence result of technology valuation, we tried to perform comparative analysis between the existing valuation results and the evaluated outcome after the latest of reference data for making a decision the input values to be estimated in DCF. To perform these analyzes, it was first selected the representative cases evaluated past in the Agri-Food industry, applied a sensitivity analysis for input variables based on these selected cases, and then executed a simulation analysis utilizing the key input variables derived from sensitivity analysis. The results of this study is to provide the information which there are the need for modernization of the data related to the input variables that are utilized during valuating technology assets in the Agri-Food sector and for building the infrastructure of the key input variables in DCF. Therefore it is expected to provide more fruitful information about the results of valuation.