데이터 산업에서 창업 활성화를 위한 데이터 거래소 제안

• 영문명: A Data Exchange Model to Promote Entrepreneurial Activities in Data Industry : Benchmarking Financial Exchanges
• 발행기관: 한국창업학회
• 저자명: 이영환(Nick Lee) 전희주(Jun Hui ju) 윤정연(Yoon Jeong yeon)
• 간행물 정보: 『한국창업학회지』제10권 제2호, 28~48쪽, 전체 21쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.06.30

영문 초록

As data markets sprout up all around the world, we, the researchers, propose a methodology to classify data markets hoping to be developed for the theory of them. In particular, we pay attention to the evolutionary nature of rapid market advancements and development. Although many data markets are vastly different in their characteristics as they serve different markets and customers, they share common attributes to determine the advancements, in their added values and automation. Therefore, to classify markets according to the relative status of evolution, two measurements to compare how advanced markets are defined: the degree of value added and the degree of automation. Given the measurements, we classify the markets into four different types: Tailor-Made, Do-It-Yourself, Grocery, and Financial-Exchange. As for the first three types of the four, a large number of instances can be found in the real world. Yet, the last one, Financial-Exchange type data market, which is theoretically the most advanced type, does not globally exist. Thus, we have investigated and a possible theoretical model of it for the sake of the completeness of the research. In this paper, we present the model for a possible implementation as a new business model. We find that the model offers many advantages over other types of data markets, especially in the area of data security and privacy information protection. Finally, we investigated how the theoretical model may be viable as a business model of its own kind.

목차

Ⅰ. 서론

Ⅱ. 선행연구의 검토

Ⅲ. 전통적 금융거래소와 데이터 거래소 이론적 모델

Ⅳ. 데이터 장터의 진화 형태에 따른 비교

Ⅴ. 금융거래소형 데이터 거래소의 장점 및 효과

Ⅵ. 결론 및 시사점

참고문헌

Abstract

키워드

Data Markets Data Exchange Data Exchange as a Financial Exchange