Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology

No, Hyun Joung; Park, Yongtae

doi:10.1016/j.techfore.2009.06.006

Cited by 142 publications

(49 citation statements)

References 29 publications

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“…In general, patent references can be divided into backward citation references -references cited by the focal innovation-and forward citations -other sources citing the focal innovation-. Analyzing the backward citation references enables identification of prior knowledge which inspires the invention process, while analyzing the forward citation references allows for tracing descendant knowledge such as inventions which were influenced by the patent (Trajtenberg et al 1997;No and Park 2010). Backward citation references are further divided into patent references and non-patent references (NPRs) which consist of references to journal articles, conference proceedings, books, databases, textbooks, corporate reports and other documents (McMillan et al 2000;Callaert et al 2006).…”

Section: Datamentioning

confidence: 99%

“…Even in scientific research-intensive industries like the chemical or pharmaceutical industries, the scientific knowledge from basic research institutes is difficult to apply right away (Van Vianen et al 1990). On the other hand, technological knowledge is better suited to satisfying technological trends (No and Park 2010) and market needs than scientific knowledge. Technology is needed not only when establishing and reviewing alternatives to reach a certain R&D goal, but also when forecasting possible problems and solving them during the innovation process.…”

Section: Introductionmentioning

confidence: 99%

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The impact of convergence between science and technology on innovation

2016

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This study investigates the effects of convergence of science and technology on innovation impact, specifically how convergence helps R&D organizations to apply scientific knowledge to their R&D activities. In addition to direct effects of convergence, we address the moderating effects of scientific capacity, knowledge spillover, and knowledge maturity from the knowledge side. The empirical analysis, which employs a zero inflated negative binomial regression model uses data on 2074 patents granted to US organizations from the pharmaceutical industry. The results show that an increase in the proportion of scientific knowledge in convergence has a positive and curvilinear relationship with innovation impact. Also, we find that the organization's scientific capacity, regional scientific knowledge spillover, and knowledge maturity positively moderate the relationship between convergence and innovation impact. Our findings underline the importance of convergence between science and technology as well as provide implications on how to improve the outcome of an organization's research and development process.

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Section: Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of convergence between science and technology on innovation

2016

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“…A class differentiates one technology area from the others, and its subclasses describe processes and structural and functional features of the subject encompassed within the scope of the class . Many previous studies have used the technology class, that is, the first three digits of the USPC, to represent the technology area Lim and Park, 2010;No and Park, 2010;Lee et al, 2011); these studies suggest that the first three digits are sufficient to explain the technological discipline related to a patent. For example, consider that a patent has a list of USPC codes 438/726, 333/22R, and 118/723.…”

Section: Datamentioning

confidence: 99%

“…Citations and classification codes in patents are the primary parameters that have been utilized to measure TKFs among technology areas. To date, a number of patent knowledge network-based studies have been suggested to measure inter-industrial knowledge flows (Han and Park, 2006;Park et al, 2009), analyze dynamic patterns of technological convergence and interrelationship in specific technology areas (Li et al, 2007;Lim and Park, 2010;No and Park, 2010;Kim et al, 2013), and identify core and emerging technologies (Lee et al, 2010;Cho and Shih, 2011). As made apparent by these studies, a main concern in analyzing know-ledge networks is to determine the technological impacts among technology areas and their dynamic trends.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Change of Technological Impacts of Technology Sectors Using Patent Information: the Case of Korea

Yoon¹,

Kim²,

Kim³

et al. 2015

Industrial Engineering and Management Systems

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A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during [2003][2004][2005][2006][2007][2008][2009][2010][2011][2012]. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

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“…In fact, nanostructured materials have a high potentiality of development for biomedical purposes through groundbreaking applications in new therapeutic instruments and diagnostic methodologies (cf., Lim et al, 2010;. No and Park (2010), using patent citations, argue that the interaction of biotechnology and nanotechnology may provide important signals for future patterns in nanobiomedicine (cf., Bárcena et al, 2009;Sylvester and Bowman, 2010;Coccia, 2012b).…”

Section: Introductionmentioning

confidence: 99%

Emerging nanotechnological research for future pathways of biomedicine

Coccia

Finardi

2012

IJBNN

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Abstract:The purpose of this paper is to measure and analyse the rate of scientific and technological advance of some emerging nanotechnological research fields in biomedicine to detect path-breaking technological trajectories. The approach, based on exponential models of growth, shows the current evolutionary trends of nano-research that may underpin future patterns of technological innovation in biomedicine and nanomedicine. In particular, results show that biosensors, quantum dots, carbon nanotubes and nanomicelles have innovative applications in diagnostics and targeted therapies for cancers that have been generating a revolution in clinical practice. The present study also detects two main determinants that have been supporting continuous diffusion of nano-technology in biomedicine: convergence of genetics, genomics and nanotechnology and multiplicity of learning processes in clinical research/practice. These drivers have been paving groundbreaking pathways in biomedicine that can lead to longer, better and healthier living of societies in not-too-distant future.

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Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology

Cited by 142 publications

References 29 publications

The impact of convergence between science and technology on innovation

The impact of convergence between science and technology on innovation

Monitoring the Change of Technological Impacts of Technology Sectors Using Patent Information: the Case of Korea

Emerging nanotechnological research for future pathways of biomedicine

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