• 한국콘텐츠학회논문지
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• 제11권9호
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• pp.154-165
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• 2011

본 논문은 공간디자이너의 직무특성에 따라 on-line 기반 아이디어 발상 시스템인 웹스토밍의 활용성이 달라질 것으로 보고 실무 디자이너그룹을 대상으로 요소상관표를 이용한 웹스토밍 활용성 테스트를 실시하여 선행연구인 디자인관리자그룹 활용성 평가결과와 비교분석함으로 공간디자인 프로세스 상에서 직무특성에 따른 웹스토밍 활용방안을 종합하여 제안하고자 하였다. 설문 결과를 관찰-해석-적용의 절차에 따라 분석한 결과 공간디자인 프로세스 요소와 웹스토밍 기능요소 간 요소상관표 분석결과 관리자그룹과 실무자 그룹 양쪽에서 가장 높은 상관성을 나타낸 공간디자인 프로세스는 '계획설계' 단계로 확인되었고 분업화 시점으로 상관성이 저조해지는 것도 동일하게 나타났다. 실무자그룹이 관리자그룹과 확연한 차이를 나타낸 프로세스 부분은 '평가' 단계로 실무자 그룹의 경우 두 번째로 높은 상관성을 나타내었다. 프로젝트 운영과 관련된 부분도 실무자 그룹의 상관성이 높은 것으로 분석되었다. 이에 각 단계에서 웹스토밍에 새롭게 적용할 수 있는 개선안을 도출하고 종합하여 웹스토밍 활용방안을 제시하였다.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 1996년도 제10회 동계학술발표회 논문집
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• pp.265-295
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• 1996

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol′s performance using data on the 50 largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index we calculated inter-industry technological similarity using R&D expenditure data by industry and 1990 Input-output Table in Korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols′business profile, inter-industry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions, diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols′financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS (Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI (Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and f[ are significant and positively related to the deepened variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or W will increase TFP growth rate. but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.