인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
INVESTIGATING THE EFFECTS OF CROWDSOURCING ON PRODUCT DESIGN AND DEVELOPMENT PHASES THROUGH EXPERIMENTAL STUDY ON ENGINEERING COMMUNITY
논문 기본 정보
- 저자정보
- 발행연도
- 2011.1
- 수록면
- 803 - 808 (6page)
피인용 0
INVESTIGATING THE EFFECTS OF CROWDSOURCING ON PRODUCT DESIGN AND DEVELOPMENT PHASES THROUGH EXPERIMENTAL STUDY ON ENGINEERING COMMUNITY
초록·키워드
The rise of crowdsourcing and web 2.0 environment opens plenty of opportunities for companies who want to exploit the outer power for inner innovation. Implementation of crowdsourcing for product design and development has been more and more attracted by researchers and enterprises. Many cases of successful implementation of crowdsourcing for product design and development such as: Threadless, FIAT Mio, Lego online Factory, etc. have made crowdsourcing become a promising source of innovative power.
In this research, we deploy an experiment on a real crowd of engineering related individuals and investigate how crowdsourcing takes effects on various product design and development phases. The experiment results (1) give a quantitative view of the behavior of the crowd towards various phases of a product design and development process that utilizes crowdsourcing, (2) provide a practical guidance for companies to harness the power of the crowd sensibly, and (3) contribute experimental data for further researches in this field.
In this research, we deploy an experiment on a real crowd of engineering related individuals and investigate how crowdsourcing takes effects on various product design and development phases. The experiment results (1) give a quantitative view of the behavior of the crowd towards various phases of a product design and development process that utilizes crowdsourcing, (2) provide a practical guidance for companies to harness the power of the crowd sensibly, and (3) contribute experimental data for further researches in this field.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2015-500-001137704
