중소기업의 빅 데이터 인식과 보유정도가 생산활동을 매개하여 생산성 증대에 미치는 영향
Big Data is a Small Degree of Recognition and Retention by Mediating the Production Activities Impact on Increasing Productivity
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This study along with research needs that it is important to leverage big data for SMEs in securing viability competitive dimension in Look at this and recognize that local SMEs have big data and big data in the current extent, Bring any effect because the effect of increasing productivity in the production activities of SMEs take advantage of big data come on the path of To evaluate the influence sought to identify the effective utilization of big data to increase SME competitiveness. The results are a higher awareness and Big Data holds the degree of SME employees productive activities and productivity was higher, the higher the higher productivity of small productive activities. And in small businesses to increase the productivity of production activities between perception and Big Data holds a degree had a partial mediating effect. Based on the results of the recent tendency to increase the productivity of SMEs is required and the big data analysis and utilization, In particular, to analyze and leverage big data suggest that the motive may be to create demand in the market.
Abstract
This study along with research needs that it is important to leverage big data for SMEs in securing viability competitive dimension in Look at this and recognize that local SMEs have big data and big data in the current extent, Bring any effect because the effect of increasing productivity in the production activities of SMEs take advantage of big data come on the path of To evaluate the influence sought to identify the effective utilization of big data to increase SME competitiveness. The results are a higher awareness and Big Data holds the degree of SME employees productive activities and productivity was higher, the higher the higher productivity of small productive activities. And in small businesses to increase the productivity of production activities between perception and Big Data holds a degree had a partial mediating effect. Based on the results of the recent tendency to increase the productivity of SMEs is required and the big data analysis and utilization, In particular, to analyze and leverage big data suggest that the motive may be to create demand in the market.
참고문헌 (38)
- 고준철, "빅 데이터의 새로운 고객 가치와 비즈니스 창출을 위한 대응 전략", 대한안전경영과학회지, 14(4), pp.229~238 (2012), 대한안전경영과학회
- 빅데이터를 활용한 스마트 정부 구현, "국가정보화전략위원회", 국가정보화전략위원회, ~ (2011)
- 김근태, "빅데이터 분석을 위한 기업의 Big Analytics 환경 변화", 정보처리학회지, 19(2), pp.70~78 (2012)
- 김상락, "빅데이터가 여는 미래의 세상", 정보과학회지, 30(6), pp.18~24 (2012)
- 김유성, "페이스북, 광고시장에 뛰어든다", 이데일리, ~ (2012)
- 김정범, "제품수명주기관리 시스템 도입의 성공요인에 관한 실증연구", 정보과학회논문지 : 소프트웨어 및 응용, 37(12), pp.909~918 (2010), 한국정보과학회
- 김한나, "빅데이터의 동향 및 시사점", 동향, 24(19), pp.49~67 (2012), 정보통신정책연구원
- 명순영, "글로벌기업, 빅데이터로 노다지 캔다", 매일경제, ~ (2012)
- 민금영, "빅데이터 속성이 재난대응 의사결정에 미치는 영향에 관한 연구", 박사, 경영정보학과, pp.2013
- 박소영, "ERP시스템의 도입 후 효과에 관한 연구", 산업경제연구, 23(6), pp.2861~2882 (2010), 한국산업경제학회
- 성공적인 빅데이터 구축을 위한 전제, "박재석", 정보통신산업진흥원, ~ (2013)
- 배병렬, "Amos 19, 구조방정식 모델링, 원리와 실제" (2011), 도서출판 청람
- 안희권, "똑똑한 개인 비서 시리, 어떻게 작동할까?", 아이뉴스24, ~ (2011)
- 유민석, "빅데이터를 위한 EDW(Enterprise Data Warehouse)고도화 방안", 정보처리학회지, 19(2), pp.54~61 (2012)
- 윤희정, "기업경영에서의 빅데이터의 인식요인과 활용 및 효과에 관한 연구", 박사, pp.2014
- 이상명, "ERP시스템의 도입요인이 도입결정 및 경영성과에 미치는 영향", 박사, 경영학과, pp.2013
- 장영재, "제조 분야에서의 빅데이터 기술 활용", 한국통신학회지, 29(11), pp.30~35 (2012)
- 주상호, "ERP 시스템의 도입요인이 경영성과에 미치는 영향에 관한 연구 : 도입요인의 통합적 관점에서", 박사, 경영학, pp.2001
- 빅데이터: 산업 지각변동의 진원, "채승병", 삼성경제연구소, ~ (2012)
- 최성열, "SCM 파트너간 정보교환 영향요인에 관한 연구", 박사, 국제경영, pp.2002
- 빅데이터 산업의 현황과 전망, "한혁동", 한국과학기술정보연구원, ~ (2013)
- 함유근, "빅데이터, 경영을 바꾸다" (2012), 삼성경제연구소
- Challenges and Opportunities with big data, "Agrawal, D.", Cyber Center Technical, ~ (2011)
- Barton, P, "Making Advanced Analytics Work For you", Harvard Business Review, 90(10), pp.79~83 (2012)
- Diebold, Francis X., "Big Data Dynamic Factor Models for Macroeconomic Measurement and Forecasting, Eighth World Congress of the Econometric Society", pp.115~122 (2000), Cambridge University Press
- Doug, L., "3-D Data Management: Controlling Data Volume, Velocity and Variey" (2001), META Group Inc
- Dumbil, E., "Big Data Now: 2012 Edition" (2013), O'Reilly Media Inc., J-Pub Co
- Feinleib, D., "The Big Data Landscape", Forbes, ~ (2012)
- High-Tech Tuesday Webinar: Big Data Opportunities in Vertical Industries, "Kart, L.", Gartner, ~ (2012)
- Kiron, D., "Creating Business Value with Analytics", MIT Sloan Management Review, 53(1), pp.57~63 (2011)
- Enterprise Hadoop: The Emerging Core of Big Data, "Kobielus, G. J.", Forrester, ~ (2011)
- LaValle, S., "Big data, analytics and the path from insights to value", MIT Sloan Management Review, 52(2), pp.20~32 (2011)
- Madden, S., "From Databases to Big Data, Internet Computing", IEEE Computer Society, 16(3), pp.4~6 (2012)
- Manovich, L., "Trending: The promises and the challenges of big social data", Debates in the digital humanities, 2, pp.460~475 (2011)
- Big data: The next frontier for innovation, competition, and productivity, "Manyike, J.", McKinsey Global Insititute, ~ (2011)
- McAfee, A., "Big Data: The Management Revolution", Harvard Business Review, 90(10), pp.61~67 (2012)
- Ross, J. W., "You May Not Need Big Data After All", Harvard Business Review, 91(12), pp.90~98 (2013)
- Big Data: What it is and Why you should care, "Villars, R. L.", IDC, ~ (2011)