• Title/Summary/Keyword: NETWRK

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Carbon Budget and Network Analysis of a Surf Zone Ecosystem by NETWRK (NETWRK을 이용한 쇄파대 생태계의 탄소수지와 네트웍 해석)

  • KANG Yun Ho
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.37 no.1
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    • pp.33-43
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    • 2004
  • A carbon budget model was constructed and analyzed for the Bangjukpo surf zone ecosystem in southern Korea by using the NETWRK. The model consists of 11 living and 1 non-living groups. Using boxes and arrows, a topological map was created to depict biomasses of each group and exchange rates between them. The system includes primary producers of phytoplankton and benthic algae, primary consumers of particle feeding zooplankton, carnivorous zooplankton, meiobenthos, malacostracans and bivalves, and top consumers of detrivorous, omnivorous, carnivorous and piscivorous fishes. The surf zone ecosystem was analyzed by means of network analysis, showing total system throughput of $574\;gCm^{-2}yr^{-1},$ development capacity of $1,876\;gCm^{-2}yr^{-1},$ ascendancy value of $768\;gCm^{-2}yr^{-1},$ Finn cycling index of $4.4\%$ and internal relative ascendancy of $27\%.$ These results were compared with similar data from other systems.

A Study on the difference in Customer's buying decision on Smartphone among products types (제품 유형별 소비자의 스마트폰 구매결정 차이 연구)

  • Kang, Byung Goo;Lee, Han Won;Han, Pil Koo;Jun, Byoung Ho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.1
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    • pp.111-125
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    • 2011
  • Smartphone is becoming as a core device of mobile environment. The purpose of this study is to investigate the factors affecting customer's buying decision on smartphone. Based on prior studies and cases, this study identifies network effect, switching cost, function, design, brand, after service, price as affecting factors of customer's buying decision on smartphone. It also aims to investigate the relationship between network effect/switching cost and re-purchasing. Result shows that network effect brand, after service are significantly related to customer's buying decision on smartphone by device types, but switching cost, function, design, price are not. Network effect also was found to be significantly related to the re-purchasing. The result of this study may provide a guideline of supply strategy with smartphone suppliers.