• Title/Summary/Keyword: food-network

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Food Business Marketing Strategy Through Social Network Service (소셜 네트워크 서비스를 통한 식품산업 마케팅전략)

  • Sohn, Jeong Woong;Purevjav, Solongo;Kim, Jin Ki
    • Agribusiness and Information Management
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    • v.1 no.2
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    • pp.81-94
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    • 2009
  • Recently, social network service is developing rapidly as technology changes with new mobile dimensions and features creating positive opportunities and benefits to all users and companies. Social network services are allowing companies to expand their businesses and brands by utilizing it as a marketing tool to reach customers. This research is intended to identify major online social network services and their trends while enhancing the understanding of food service business expansion through social networking.

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Indirect Network Effect and Spillover Effect in Food Delivery Platforms

  • GONG, LEE
    • KDI Journal of Economic Policy
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    • v.44 no.4
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    • pp.25-42
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    • 2022
  • I analyze how the food delivery market's indirect network effect and spillover effect influence the spread of food delivery platforms in different counties. This study finds that there is a positive local indirect network effect and a positive spillover effect in the adoption of the platform by examining the food delivery platform market in South Korea as of 2020. As food delivery platforms secure consumers who use them, more restaurants on the other side of a two-sided market adopt such platforms (indirect network effect). The spillover effect would allow other restaurants in a region to become more likely to adopt food delivery platforms if there are a greater number of restaurants in the region that use such platforms. This study contributes to the comprehension of technology diffusion and the marketing strategies of platform providers by providing empirical evidence of both effects.

Network Structure and Dextran Formation of Jeungpyeon Made with Yeast Starter

  • Hahn, Young-Sook;Lee, Hae-Eun;Park, Ju-Yeon;Woo, Kyung-Ja
    • Food Science and Biotechnology
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    • v.15 no.1
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    • pp.77-81
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    • 2006
  • The dextransucrase activity of microorganisms which were identified as contributing to the fermentation of jeungpyeon made with yeast was measured. The dextran generated during fermentation was quantified and the viscosity changes were measured. The mechanism of network structure formation was clarified by observing the inside of the network structure over the fermentation periods ranging from 1 to 7 hr using scanning electron microscopy (SEM). The pH of jeungpyeon batter decreased significantly as the fermentation proceeded, whereas the viscosity increased. The identified lactic acid bacteria (LAB) were Leuconostoc mesenteroides subsp. mesenteroides, Pediococcus pentosaceus, Tetragenococcus halophilus, and Leuconostoc mesenteroides subsp. dextranicum. The yeast was identified as Saccharomyces cerevisiae A/Tor. Pretorien. The dextransucrase extracted from those microorganisms showed high activity. On the other hand, the amount of dextran generated from the batter increased significantly beyond 2 hr of fermentation, and the viscosity increment showed a similar trend. The SEM photos showed that the most homogeneous fine network structure was observed in the batter fermented for 2 hr. Therefore, we assumed that the dextran that was generated by microorganisms during fermentation interacted with the components of the batter to increase the stability of the network structure.

Analysis of Food Industry Cluster and Value-chain Network in the Northern Area of the Korean Peninsula (한반도 북방지역의 식량산업 클러스터 및 가치사슬 네트워크 분석)

  • Moon, Seung-Woon;Kim, Euijune
    • Journal of Korean Society of Rural Planning
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    • v.23 no.3
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    • pp.147-161
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    • 2017
  • Climate changes from global warming and reduction in agricultural land result in volatility of prices of agricultural products, causing a imbalance of food market in Korea. It is necessary to develop a transnational food industry cooperation system among Korea, China and Russia that directly or indirectly affect food industry in terms of the whole industrial network. This study analyzes the value chain and linkage in the agriculture, forestry and fisheries industries in three nations. The unit structure and the industrial patterns of three nations were derived using the World Input-output Table (WIOT) from 2004 to 2014 every five years. This paper is expected to contribute to develop food security cooperation in the northern part of the Korean peninsula and to promote the mutual growth of food industry through industry linkage and cooperation.

Economic Integration and Structural Changes in the International Agro-Food Trade Network (경제통합과 농식품 교역의 국가 간 네트워크 변화)

  • Hyun, Kisoon;Lee, Junyeop
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.1
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    • pp.83-103
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    • 2016
  • This paper examines the characteristics of structural change in the international agro-food trade network with a global trend of the FTA diffusion. By focusing on the centralities and the community structure to identify the agro-food trade network, we use the social network analysis and the trade data contained of 07, 08, 20, and 21 at the 2-digit HS product level among 45 countries over the last 15 years. The main analytical results are as follows: 1) Not only has intra trade network intensified more than inter-regional trade, but also, there is no doubt that inter-regioanl trade by linking has steadily increased. 2) EU countires have the high indices of centrality, which have already been highly integrated. 3) Intraregional agro-food trade network for fresh vegetables and processed food sector in Asia is shown to be strongly integrated. This finding suggests that the processes of economic integration will help strengthen the trade network for agro-food in a culturally homogeneous region. 4) The case of Korea's participation in the RCEP and TPP, Korea's power in the agro-food network tends to be reinforced, especially in the processed food sector. Overall, there is a need for establishment of spatial strategies and policies across the different regions for Mega FTAs.

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Systematic review of the effect of coenzyme Q10 on antioxidant capacity while focused on evaluation of claims for health functional food (건강기능식품의 기능성을 중심으로 한 코엔자임Q10의 항산화 기능성에 대한 체계적 고찰)

  • Kim, Ji Yeon;Jeong, Sewon;Paek, Ju Eun;Kim, Joohee;Kwak, Jin Sook;Lee, Yoon Jung;Kang, Tae Seok;Kwon, Oran
    • Journal of Nutrition and Health
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    • v.46 no.3
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    • pp.218-225
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    • 2013
  • Although the functional ingredient has been evaluated by the Korea Food and Drug Administration (KFDA) based on scientific evidence, the levels of scientific evidence and consistency of the results might vary according to emerging data. Therefore, periodic re-evaluation may be needed for some functional ingredients. In this study, we re-evaluated scientific evidence for the antioxidant activity of coenzyme Q10 as a functional ingredient in health functional food. Literature searches were conducted using the Medline and Cochrane, KISS, and IBIDS databases for the years 1955-2010 with the search term of coenzyme Q10 in combination with antioxidant. The search was limited to human studies published in Korean, English, and Japanese. Using the KFDA's evidence based evaluation system for scientific evaluation of health claims, 33 human studies were identified and reviewed in order to evaluate the strength of the evidence supporting a relation between coenzyme Q10 and antioxidant activity. Among 33 studies, significant effects for antioxidant activities were reported in 22 studies and their daily intake amount was 60 to 300 mg. Based on this systematic review, we concluded that there was possible evidence to support a relation between coenzyme Q10 intake and antioxidant activities. However, because inconsistent results have recently been reported, future studies should be monitored.

A Study on Influencer Food-Content Sentiment Keyword Analysis using Semantic Network based on Social Network

  • Ryu, Gi-Hwan;Yu, Chaelin;Lee, Jun Young;Moon, Seok-Jae
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.95-101
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    • 2022
  • The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

A Study on the User Experience at Unmanned Cafe Using Big Data Analsis: Focus on text mining and semantic network analysis (빅데이터를 활용한 무인카페 소비자 인식에 관한 연구: 텍스트 마이닝과 의미연결망 분석을 중심으로)

  • Seung-Yeop Lee;Byeong-Hyeon Park;Jang-Hyeon Nam
    • Asia-Pacific Journal of Business
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    • v.14 no.3
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    • pp.241-250
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    • 2023
  • Purpose - The purpose of this study was to investigate the perception of 'unmanned cafes' on the network through big data analysis, and to identify the latest trends in rapidly changing consumer perception. Based on this, I would like to suggest that it can be used as basic data for the revitalization of unmanned cafes and differentiated marketing strategies. Design/methodology/approach - This study collected documents containing unmanned cafe keywords for about three years, and the data collected using text mining techniques were analyzed using methods such as keyword frequency analysis, centrality analysis, and keyword network analysis. Findings - First, the top 10 words with a high frequency of appearance were identified in the order of unmanned cafes, unmanned cafes, start-up, operation, coffee, time, coffee machine, franchise, and robot cafes. Second, visualization of the semantic network confirmed that the key keyword "unmanned cafe" was at the center of the keyword cluster. Research implications or Originality - Using big data to collect and analyze keywords with high web visibility, we tried to identify new issues or trends in unmanned cafe recognition, which consists of keywords related to start-ups, mainly deals with topics related to start-ups when unmanned cafes are mentioned on the network.