[논문]온실 폭설 피해경감을 위한 비즈니스 모델 설계

이종혁; 이상익; 정영준; 김동수; 이승재; 최원

doi:10.5389/ksae.2021.63.2.061

온실 폭설 피해경감을 위한 비즈니스 모델 설계
Design of the Business Model to Reduce the Damage of Heavy Snowfall in Greenhouse 원문보기

한국농공학회논문집 = Journal of the Korean Society of Agricultural Engineers, v.63 no.2, 2021년, pp.61 - 74

이종혁 (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University) , 이상익 (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University) , 정영준 (Department of Rural Systems Engineering, Global Smart Farm Convergence Major, Seoul National University) , 김동수 (Department of Rural Systems Engineering, Seoul National University) , 이승재 (National Center for Agro-Meteorology) , 최원 (Department of Rural Systems Engineering, Research Institute of Agriculture and Life Sciences, Global Smart Farm Convergence Major, Seoul National University)

Abstract ▼ AI-Helper

Agriculture is most closely related to weather, and the government pursues stable food production by weather research. However, abnormal weather conditions have occurred frequently around the world in recent years, and stable food production has been threatened. Among them, heavy snow in winter tends to increase in frequency and size, which causes serious damage to greenhouses. Therefore, it is imperative to build a system reflecting various demands to reduce the damage to agricultural facilities caused by heavy snow. A business model can realize this as a way of commercialization, however, no suitable model has been presented to date. Therefore, this study aims to design a representative business model that can establish a safety system by distributing a greenhouse disaster prevention warning system for heavy snow to farms.

주제어

표/그림 (14)

그림 Fig. 1 The business model design strategy for heavy snowfall disaster prevention for greenhouse
그림 Fig. 2 The strategy of the greenhouse snow load smart forecasting and warning system operation
그림 Fig. 3 Greenhouse snow load smart forecasting and warning system operation strategy
그림 FIg. 4 Overview of the greenhouse heavy snowfall disaster prevention system
그림 Fig. 5 Customer segmentation by setting potential markets and target customers considering alternatives
표 Table 1 Areas that have to withstand snow loads of 26 cm or more when designing a greenhouse (NLC, 2014)
표 Table 2 The market size of the 1st consumer segment (Gyeongsang, Chungnam)
그림 Fig. 6 Current status of farming scale and proportion of the agricultural income who have indicated purchase intentions
표 Table 3 Survey respondent basics (unit: persons)
표 Table 4 Purchase intention by product price (unit: persons)
표 Table 5 Greenhouse heavy snow disaster prevention system supply unit price and break-even design
표 Table 6 Number of sales targets and expected revenue
그림 Fig. 7 Development of business model for disaster prevention of heavy snow in greenhouse
표 Table 7 Design of a greenhouse heavy snow disaster prevention system business model

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