Top management team’s innovation-related characteristics and the firm’s explorative R&amp;D: an analysis based on patent data

Lee, Chul; Park, Gunno; Marhold, Klaus; Kang, Jina

doi:10.1007/s11192-017-2322-1

Cited by 26 publications

(24 citation statements)

References 66 publications

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“…Conversely, collaboration produced a positive effect: Private companies performed better in terms of number of registered patents and job generation when partnerships with universities and research centers were established. The study of C. Lee, Park, Marhold, and Kang (2017) found that the educational background of the top managers in specific areas, as science or engineering, with their experience in R&D area, has a positive impact on innovative activities.…”

Section: Innovation and Performancementioning

confidence: 99%

Relationship Between Innovation and Performance in Private Companies: Systematic Literature Review

Bach¹,

Dalazen

Silva

et al. 2019

SAGE Open

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This article conducts a systematic literature review (SLR) on the relationship between innovation and performance in private companies. The research corpus was based on research protocol systematization. Dissemination of knowledge was examined in two stages: the summary of general corpus characteristics, and the content analysis performed according to the categories that emerged via the study's themes. Relationships among authors, co-citations, keywords, and centrality statistics were identified through algorithms for optimizing standard graph layout. This study discusses the results of this relationship for improving the competitiveness of enterprises. The relationships among the authors of the corpus constitute relationships between isolated groups with little connectivity, low density, and a formation of distinct communities. The categories of analysis emerged in the study themes, as well as the techniques adopted to measure the relationships between innovation and private company performance. In the analyzed studies, innovation initiatives converge. Overall, they contribute to improvements in company performance. In the scientific field, initiatives for developing innovations have enhanced the performance of private companies. A key theoretical contribution of this article is in identifying the research corpus on the relationship between innovation and performance in private companies. The practical contribution of this study lies in offering evidence produced by studies that can help decision making regarding the creation of strategies and policies focused on competitiveness. The differences in the evidence found in the literature highlight the importance of the outcome of this study and indicate the need for future research in an effort to better understand the phenomenon.

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Section: Innovation and Performancementioning

confidence: 99%

Relationship Between Innovation and Performance in Private Companies: Systematic Literature Review

Bach¹,

Dalazen

Silva

et al. 2019

SAGE Open

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show abstract

“…Citations from patents to scientific publications could provide useful evidence about the commercial impacts of the academic research [15]. Applying scientific knowledge to technical innovation and productive activities was still deserved to be researched [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data

Chi

Song

2020

IEEE Access

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The patent is one of the carriers of scientific research and development, and an indicator of technical innovation. As a promising approach for modeling complex systems, complex networks could provide the sound theoretical framework for developing proper simulation models. Many researchers use the relations of patent citations and transfers to study knowledge propagate and output in the network. However, knowledge flow in patents should be fully considered by substantial and fruitful connections, both in the process of knowledge application and knowledge output. In this paper, we present a two-boundary network model with knowledge application boundary and knowledge output boundary to reveal the patent citation patterns in knowledge flow. The feasibility and effectiveness of the two-boundary network model are proved with theory and experiment. Utilizing 578,678 patents from the United States Patent and Trademark Office between 2015 and 2018 with the two-boundary network model, we put up a fixed effect ordinary least square equation to reveal the patent impacts of different structural patterns. Experimental results show that, in the perspective of structural patterns, the highly impacted patents without assigning are greatly influenced by their scientific literature references and provide knowledge for other assigned patents. However, considering all the fixed effect factors, patents that transfer knowledge from other patents to assigned patents are more likely to become highly impacted patents. Besides, we find the two-boundary network model fits the real patent knowledge flow well by comparing it with the other models. INDEX TERMS Two-boundary network model, knowledge flow, regression equation, fixed effect.

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“…In the context of OFDI from the emerging markets, TMTs with R&D background can guide the innovation activities of foreign subsidiaries even if they are far away from the host regions, as the abilities of coping with R&D issues are seldom affected by geographical distance and institutional distance (Asakawa et al 2018). R&D background also has impacts on TMTs' risk preference so that they are more persistent in conducting risky activities (Lee et al 2017). TMTs with R&D background have high receptivity to competition in industrial clusters.…”

Section: Tmt Randd Experiencementioning

confidence: 99%

The Role of Top Management Team in Oversea Location Choice: Evidence from Chinese Firms’ Investments in European Industrial Clusters

Zhou

Yanling

2021

Emerging Markets Finance and Trade

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This article investigates the role of firm's top management team (TMT) in its location strategy in oversea investment decision. From the perspective of the upper-echelon theory and knowledge-based view, we study how knowledge-related characteristics of TMTs, such as education background, foreign experience and R&D experience affect the firm's oversea location choice to invest in an industrial cluster. Using data of OFDI cases from Chinese firms to European sub-national regions from 2006 to 2016, we find that: (1) TMT's education background has a positive effect on firm's OFDI decision in industrial clusters; (2) TMT's foreign experience has a positive effect on firm's OFDI decision in industrial clusters; (3) TMT's R&D background increases the firm's likelihood to invest in industrial clusters. Our findings provide implications related to the effects of TMT characteristics on emerging market firms' oversea investment activities.

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Top management team’s innovation-related characteristics and the firm’s explorative R&D: an analysis based on patent data

Cited by 26 publications

References 66 publications

Relationship Between Innovation and Performance in Private Companies: Systematic Literature Review

Relationship Between Innovation and Performance in Private Companies: Systematic Literature Review

Revealing Structural Patterns of Patent Citation by a Two-Boundary Network Model Based on USPTO Data

The Role of Top Management Team in Oversea Location Choice: Evidence from Chinese Firms’ Investments in European Industrial Clusters

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