The main purpose of the research is to suggest a new business model of direct distribution of organic agricultural products cultivated in suburban area. To secure competitiveness, logistics cost reduction is important through direct transaction of organic agricultural products cultivated on suburban area. The research addresses food safety, farmers' income and unemployment issues with Eco-M business model. The research methods include investigation on the followings: current domestic agriculture; related problems on the existing literature reviews; the current status of suburban agriculture; specialty store of eco-friendly agricultural products. Eco-M business model can solve various problems of suburban agriculture supply system, challenges of organic farming specialty stores, unemployment issues, and difficulties of processing verticalization. Future research should include followings. First, there should be comparative analysis between businesses of environmentfriendly specialty stores through suburban agriculture and producer's agriculture connected with organic farming market. Second, it is required to develop strategy of environment-friendly specialty stores. Finally, analysis of the potential of Sextic industries is necessary throughout production-process-service process.

본 논문은 21세기 지식기반 경제의 가치 창출 원천이 새로운 아이디어와 창의성의 주체인 인적자본에 있음을 근거로 국내 온라인게임 기업 인적자본 운영의 효율성을 연구해보았다. 온라인게임 산업은 최근 국가 신성장 동력으로 주목 받고 있는 문화콘텐츠 서비스업의 하나로, 세계 최고의 기술과 콘텐츠를 기반으로 하여 높은 연평균 성장률과 수출 공헌도를 보이고 있는 산업이다. 이런 맥락에서 본 논문은 인적자본이론, 지식경제이론, 경제성장이론에 기초하여 온라인게임 산업에서 인적자본이 지속적인 성장을 견인할 수 있음을 이론적으로 규명하였다. 또한 대표적인 비모수적 분석모형인 자료 포락 분석(DEA)을 통하여 국내 온라인게임 기업의 인적자원 운영 규모, 투자, 교육, 보상의 투입 효율성을 기업의 산출이라고 할 수 있는 매출을 기준으로 실증 분석 하였다. 이 연구를 통해 국내 온라인게임 기업들에게 미래의 지속 가능한 성장 동력인 인적자본을 운영함에 있어 최적의 효율성을 달성할 수 있도록 전략적 시사점을 제공할 수 있을 것이다

The use of the internet to facilitate commerce among companies promises vast benefits. Lots of e-marketplaces are building for several industries such as chemistry, airplane, and automobile industries. This study provides the new B2B EC business model for the shipping industry which concerns relatively massive fixed assets to be fully utilized. To be successful the proposed model gives participants useful information. To do this the expert system is constructed with the hybrid prediction system of neural network (NN) and memory based reasoning (MBR) with self-organizing map (SOM) and knowledge augmentation technique using qualitative reasoning (QR). The expert system supports participants useful information coping with dynamic market environment. with this shipping companies are induced to participate in the proposed e-marketplace and helped for exchanges easily. Also participants would utilize their assets fully through B2B exchanges.