The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance

博士 === 國立政治大學 === 科技管理研究所 === 95 === The scholars who studied the field of intellectual capital (IC) argued that IC was the main source of organizational competitive advantages. Besides, they thought that the better the IC a company has, the better the business can have the ability to generate inno...

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Main Authors: Lin,Liang-Yang, 林良陽
Other Authors: Wu,Se-Hwa
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/58529473551764381944
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description 博士 === 國立政治大學 === 科技管理研究所 === 95 === The scholars who studied the field of intellectual capital (IC) argued that IC was the main source of organizational competitive advantages. Besides, they thought that the better the IC a company has, the better the business can have the ability to generate innovative performance. However, the relationship between IC and innovative performance needs to be explored further, because of being inconsistent with some practical cases. This research proposed that the view of IC could not explain appropriately why organizations could generate better innovative performance in the dynamic environment. Besides, the scholars who studied IC seldom distinguished “static IC” from “dynamic ability for utilizing IC”. Whereas, this research proposed that these two constructs were different concepts, and would like to explore the impact of utilizing IC on innovative performance. On the other hand, in order to explain why some enterprises could keep their competitive advantages in the rapidly changing environment, some scholars proposed the viewpoints of dynamic capabilities (DCs). This research argues that it has a directly significant effect of DCs on innovative performance, and DCs are the critical factors for utilizing IC. This research proposes that DCs are complex constructs. Therefore, we should clarify these constructs and provide an appropriate measurement tool with reliability and validity, if we would like to measure them. This research adopted qualitative and quantitative researches simultaneously to demonstrate these arguments. After clarifying the definition of DCs and extracting the components of DCs from the literature review, this research deduced several hypotheses and formed the research framework. This research selected the research team of N University for developing wireless nano-bio systems as a case, and thoroughly explored two of its radically innovative projects, including Anti-SARS R&D project and sensor chip for wireless nano-biotach R&D project. Through observing their response to the rapidly changing external environment, this research illustrated the impact of IC and DCs of R&D team on its innovative performance. By the two-stage observation, analysis and induction of this case, we could understand the preliminary power in explaining this research model, and amend the hypotheses. As for quantitative research, first, according to the scale developing steps, suggested by Hinkin (1998), this research developed the measurement tool of DCs with five stages and three samples to measure the concept of DCs precisely. Secondly, after developing the measurement scale of DCs, which surpassed the acceptable level for reliability, content validity, goodness of fit, convergent validity and discriminate validity, this research utilized the third sample testing the hypotheses to confirm the relationships among IC, DCs, and innovative performance of the R&D teams. The results showed that the concept of DCs is a multi-level and multi-dimension construct, which is composed of combinative capabilities, absorptive capacity and flexibility. In addition, it can be measured by three-dimension and eight-factor scale with nineteen items. As for the hypothesis testing, there were nine hypotheses in this research. Seven of them were supported, however, two of them were not supported. The results confirmed the main arguments of this research. That is, it doesn’t have a significant effect of IC on R&D team’s innovative performance. However, it does have a significant effect of DCs on R&D team’s innovative performance. In addition, the results showed that combinative capabilities and absorptive capacity are mediators. The combinative capabilities fully mediated the effect of absorptive capacity on innovative performance. The absorptive capacity also fully mediated the effects of human capital and relationship capital on the combinative capabilities. Meanwhile, the results showed that flexibility is a moderator, which enhanced the effects of different ICs on absorptive capacity. Finally, this research got two special observations. First, there are two dimensions of R&D energy promotion for R&D teams with DCs. Secondly, it is a type of “flexible sphere organization” for the R&D teams with DCs, so that they can respond to the rapidly changing external environment.
author2 Wu,Se-Hwa
author_facet Wu,Se-Hwa
Lin,Liang-Yang
林良陽
author Lin,Liang-Yang
林良陽
spellingShingle Lin,Liang-Yang
林良陽
The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance
author_sort Lin,Liang-Yang
title The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance
title_short The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance
title_full The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance
title_fullStr The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance
title_full_unstemmed The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance
title_sort impact of intellectual capital and dynamic capabilities on r&d teams’ innovative performance
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/58529473551764381944
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spelling ndltd-TW-095NCCU52300082016-05-25T04:14:05Z http://ndltd.ncl.edu.tw/handle/58529473551764381944 The Impact of Intellectual Capital and Dynamic Capabilities on R&D Teams’ Innovative Performance 智慧資本與動態能耐對研發團隊創新績效的影響 Lin,Liang-Yang 林良陽 博士 國立政治大學 科技管理研究所 95 The scholars who studied the field of intellectual capital (IC) argued that IC was the main source of organizational competitive advantages. Besides, they thought that the better the IC a company has, the better the business can have the ability to generate innovative performance. However, the relationship between IC and innovative performance needs to be explored further, because of being inconsistent with some practical cases. This research proposed that the view of IC could not explain appropriately why organizations could generate better innovative performance in the dynamic environment. Besides, the scholars who studied IC seldom distinguished “static IC” from “dynamic ability for utilizing IC”. Whereas, this research proposed that these two constructs were different concepts, and would like to explore the impact of utilizing IC on innovative performance. On the other hand, in order to explain why some enterprises could keep their competitive advantages in the rapidly changing environment, some scholars proposed the viewpoints of dynamic capabilities (DCs). This research argues that it has a directly significant effect of DCs on innovative performance, and DCs are the critical factors for utilizing IC. This research proposes that DCs are complex constructs. Therefore, we should clarify these constructs and provide an appropriate measurement tool with reliability and validity, if we would like to measure them. This research adopted qualitative and quantitative researches simultaneously to demonstrate these arguments. After clarifying the definition of DCs and extracting the components of DCs from the literature review, this research deduced several hypotheses and formed the research framework. This research selected the research team of N University for developing wireless nano-bio systems as a case, and thoroughly explored two of its radically innovative projects, including Anti-SARS R&D project and sensor chip for wireless nano-biotach R&D project. Through observing their response to the rapidly changing external environment, this research illustrated the impact of IC and DCs of R&D team on its innovative performance. By the two-stage observation, analysis and induction of this case, we could understand the preliminary power in explaining this research model, and amend the hypotheses. As for quantitative research, first, according to the scale developing steps, suggested by Hinkin (1998), this research developed the measurement tool of DCs with five stages and three samples to measure the concept of DCs precisely. Secondly, after developing the measurement scale of DCs, which surpassed the acceptable level for reliability, content validity, goodness of fit, convergent validity and discriminate validity, this research utilized the third sample testing the hypotheses to confirm the relationships among IC, DCs, and innovative performance of the R&D teams. The results showed that the concept of DCs is a multi-level and multi-dimension construct, which is composed of combinative capabilities, absorptive capacity and flexibility. In addition, it can be measured by three-dimension and eight-factor scale with nineteen items. As for the hypothesis testing, there were nine hypotheses in this research. Seven of them were supported, however, two of them were not supported. The results confirmed the main arguments of this research. That is, it doesn’t have a significant effect of IC on R&D team’s innovative performance. However, it does have a significant effect of DCs on R&D team’s innovative performance. In addition, the results showed that combinative capabilities and absorptive capacity are mediators. The combinative capabilities fully mediated the effect of absorptive capacity on innovative performance. The absorptive capacity also fully mediated the effects of human capital and relationship capital on the combinative capabilities. Meanwhile, the results showed that flexibility is a moderator, which enhanced the effects of different ICs on absorptive capacity. Finally, this research got two special observations. First, there are two dimensions of R&D energy promotion for R&D teams with DCs. Secondly, it is a type of “flexible sphere organization” for the R&D teams with DCs, so that they can respond to the rapidly changing external environment. Wu,Se-Hwa 吳思華 2007 學位論文 ; thesis 232 zh-TW