• 제목/요약/키워드: Technological Diversification

검색결과 48건 처리시간 0.021초

R&D 전략의 형태가 기업 재무성과에 미치는 영향에 관한 연구 (A Study on the Effects of Forms of R&D Strategy on Corporate Financial Performance)

  • 문희진;이주성
    • 한국경영과학회지
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    • 제35권1호
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    • pp.67-81
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    • 2010
  • In Schumpeterian competition, superior profit arises from successful innovation created by firm's R&D strategy. Such R&D strategy diverges as time passes. This study examines empirically the effects of diverged forms of R&D strategy such as technological assets, technological diversity, and technological similarity on firm performance in Korean pharmaceutical industry. With the financial and patent data of 96 firms for 14 years from 1994 to 2007, we measured variables. And then we performed panel analysis with 3 years lag between dependent variable and other variables. The result shows that firm performance increases as technological asset and technological diversification increase. But technological similarity positively affects on firm performance in opposition to our hypothesis. We interpret and discuss these results and highlight the theoretical and practical implications of our findings.

네오슘페터주의 관점에서 바라본 다각화의 성공과 실패: 삼성 반도체사업의 세 가지 다각화 사례 연구 (Study on Success and Failure of Diversification Based on Neo-Schumpeterian Perspective: Samsung's Three Diversification Cases in the Semiconductor Industry)

  • 박태영
    • 기술혁신연구
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    • 제18권2호
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    • pp.175-219
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    • 2010
  • 기업들에게 다각화 활동은 경쟁에서 살아남고 그들의 성공을 지속시키기 위한 필수적인 수단이기 때문에 지난 30년 동안 산업경제, 전략경영, 네오슘페터주의 학파들에 의해 많은 연구들이 이루어졌다. 그러나 어느 학파도 다각화의 성공과 실패를 포괄적으로 설명할 수 있는 모델을 제시하지는 못하였다. 본 연구는 세 학파들의 연구결과물을 통합하여, 기업 의 기술적 역량과 섹터 고유의 특성을 포함한 이론적 틀을 제시하되, 기술측면을 강조한 네오슘페터주의 관점을 반영하였다. 그리고 그 틀을 이용하여 삼성의 세 가지 다각화 사례를 분석하여 성공과 실패의 주요 원인과 시사점을 찾고자하였다. 사례연구결과, DRAM은 마이크로프로세서보다 TFT-LCD와 더 유사한 섹터 특성을 갖기 때문에 삼성은 마이크로프로세서보다 TFT-LCD로의 다각화가 훨씬 수월하고 성공적이었다. 동일한 이유에서 삼성의 기술 역량은 DRAM 섹터에서 축적된 기술역량을 확장 강화시키는 형태로 발달되었다. 이러한 연구결과는 전략가들이 다각화 방향을 결정할 때 진출하고자 하는 섹터의 특성, 과거 섹터에서 축적된 기업의 기술역량, 기업의 기존 역량 중에서 진출하고자 하는 섹터의 특성과 조화를 이룰 수 있는 역량을 동시에 고려할 때 성공 확률이 높아진다는 교훈을 준다.

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ICT 융합기술에서의 기술경쟁력이 기업 다각화에 미치는 영향 (The Impact of Technological Competitiveness in the ICT Convergence Technology on Corporate Diversification)

  • 이현민;김선재;김홍영
    • 기술혁신학회지
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    • 제21권1호
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    • pp.385-419
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    • 2018
  • 본 연구는 산업조직이론과 자원기반관점을 통합하여 사업 다각화에 대한 산업환경요인과 기술역량의 결정요인들로 구성한 통합모형을 설계하고, 제안한 모형을 스마트공장 ICT융합기술(애플리케이션 및 플랫폼 분야) 특허 출원기업 272개사의 6개년(2010년~2015년) 특허 및 재무데이터를 이용하여 실증적으로 분석하였다. 고정효과 패널모형을 분석한 결과, 기업의 사업다각화 의사결정에 영향을 미치는 요인들 가운데 기술경쟁력은 사업 다각화 수준을 높이는 긍정적 효과가 검증되었다. 추가적으로 2단계 최소자승 고정모형을 분석한 결과, 출원특허수 보다 융합특허비중이 기술경쟁력을 증대시키는 유의미한 긍정적 효과가 있음을 검증하였다. 본 연구 결과에 근거하여 기업의 ICT융합기술자원 및 역량을 바탕으로 한 사업 다각화 전략기획방향과 정부 R&D 정책과 관련하여 융합기술자원의 사업화 지원방안에 대한 시사점을 제공하고자 한다.

사업 포트폴리오의 기술시너지 효과 : 50대 재벌의 패널자료분석

  • 김태유;박경민
    • 기술혁신연구
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    • 제5권1호
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    • pp.15-43
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    • 1997
  • This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest 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-inustry 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 in 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 VI are significant and positively related to the dependent 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 VI 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.t.

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특허 데이터 분석시 효율적인 노이즈 제거와 신뢰도가 향상된 특허 기술수준 평가에 관한 연구 (A Study on Efficient Noise Filtering of Patent Data Analysis and Level Assessment of Patent Technology which improve reliability)

  • 강희섭;이승호
    • 기술혁신학회지
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    • 제15권1호
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    • pp.105-128
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    • 2012
  • 본 논문에서는 특허맵 분석 데이터 구축 과정에서 필요한 효율적인 노이즈 제거방법과 신뢰도가 향상된 기술수준 평가를 제안한다. 과거 수작업으로만 진행하였던 노이즈 제거 과정을 논리 연산자 AND를 활용하여 엑셀 VBA(Visual Basic Application)에서 프로그램화 하여 효율적으로 제거하여 유효 데이터를 획득할 수 있게 된다. 신뢰도가 향상된 특허의 기술수준 평가를 위하여 평균 청구항 수, 특허 패밀리 사이즈(PFS: Patent Family Size), 특허당 인용도 지수(CPP: Cites per Patent), 삼극특허, 규격화 특허경쟁력 지수(stdPCPI: Standardization Patent Diversification Index), haF-index(Hirsch a Family index)등을 사용하게 된다. 제안된 효율적인 노이즈 제거 작업을 적용한 결과는 획득된 특허 데이터의 노이즈 비율이 10% 미만으로 나타나서 데이터의 신뢰도가 높음이 확인되었다. 제안된 기술수준 평가 지수를 적용한 결과는 공통적으로 확인할 수 있는 정보에 의해 기술수준 평가를 산출함으로써 신뢰도가 향상된 균형적 기술수준 평가가 가능함을 확인할 수 있었다.

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기업에 있어서 기술혁신의 동태적 모형 (Models of Technological Innovation at a Project And a Firm Level)

  • 이진주
    • 한국경영과학회지
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    • 제3권1호
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    • pp.57-67
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    • 1978
  • This paper reviews various models of technological innovations at different levels: project level and productive segment level. Firstly, it examines a number of significant factors influencing the success and failure of technological innovation at project level. Specifically, the role and characteristics of technical information for the success of innovation is analyzed. Secondly, the paper discusses in detail the relationship between technological innovation and the evolution of a firm. Product and process innovations are analyzed in accordance with a three stage model; the stages are performance maximizing (uncoordinated), sales maximizing (segmental) and cost minimizing (systemic). Various implications of the model are presented in terms of the business policy variables such as diversification, standardization, productivity improvement, marketing, etc. The applicability of the model to a developing country is sought and a few suggestions to develop new model of technological innovations in LDC are discussed.

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사업포트폴리오의 기술시너지효과 :50대 재벌의 패널자료분석 (Technological Synergy Effect of Business Portfolio : Panel Data Analysis on 50 Largest Chaebols in Korea)

  • 김태유;박경민
    • 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.

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The Influence of Transformational Leadership on Employees' Innovation in Universities of UAE: Mediating Effect of Technological Diversity

  • ALMASKARI, Tariq Humaid;MOHAMAD, Effendi;YAHAYA, Siti Norbaya;JALIL, Muhammad Farhan
    • The Journal of Asian Finance, Economics and Business
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    • 제8권7호
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    • pp.657-669
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    • 2021
  • This study seeks to empirically investigate the impact of transformational leadership on employees' innovation with the mediating effect of technological diversity. Employees have evolved into leaders in organizing work within institutions over the last few decades. This shift presents new demands for leaders, who are forced to reinvent individual workers while also improving workplace innovation. This research proposes a conceptual model for considering transformational leadership and the impact of technological diversity on innovation. Structured questionnaire is used in the study and the analysis of the data from 633 employees of universities in the United Arab Emirates uses stratified sampling technique and hypotheses verified through Structural Equations Modelling (AMOS-21). According to the results, transformational leadership has a big effect on employees' innovation. Furthermore, in the relationship between transformational leadership and workforce innovation, technological diversity has a partial mediation impact. This research adds to the growing body of knowledge about how transformational leadership influences employees' innovation and how it affects employees' success, especially in the context of UAE-based universities. Overall, this research contributes to the previous studies wherein transformational leadership plays a critical role in influencing the innovative performance of employees and that, in turn, will promote diversification of technology in the organization.

기업간 공동연구개발의 성공과 위험요인 : 기존 연구의 분석 및 모형의 제안

  • 전재욱;문형구
    • 기술혁신연구
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    • 제11권2호
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    • pp.91-121
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    • 2003
  • The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty regarding independent efforts in technology development. An alternative to these strategic responses is the R&D or technological collaborations among firms. There have been many researches on the reasons for and effects of these collaborative relationships; however, research examining the risks involved in the process of collaboration is lacking. The researches into essential prerequisites for successful technological collaborations have remained more or less premature despite of the increasing demand for interfirm R&D collaborations. In other words, the existing literature has mainly focused on the choice of collaborations, but has paid little attention to the processes of collaborations. This study tries to identify and integrate both success and risk factors affecting the decision making of whether collaborations are attempted or not and R&D collaboration processes. Finally, a model of interfirm collaborations is suggested and also practical implications for the firms which consider R&D collaboration with other firms are provided.

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Characteristics of ICT-Based Converging Technologies

  • Kim, Pang Ryong
    • ETRI Journal
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    • 제35권6호
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    • pp.1134-1143
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    • 2013
  • The rising pace of technological change in information and communications technology (ICT) has provoked technological convergence by providing a new mode of diversification. This paper investigates the nature of ICT-based converging technologies by examining comparative empirical evidence on converging versus nonconverging technologies in relation to the following issues: patent application trends, concentration across technologies, the concentration of patenting activity across firms, R&D efforts, and a technology impact index. For this study, a new operational definition of ICT-based converging technology is derived, and a massive quantity of patents, up to around 600,000, is analyzed. This study follows the International Patent Classification as well as the modified European Commission's industry classification system for the classification of technologies and industries, respectively.