8,236 research outputs found

    Predicting Technical Value Of Technologies Through Their Knowledge Structure

    Get PDF
    This thesis tests the hypothesis that the characteristics displayed by the knowledge structure of a high technical value invention is different from that of a low technical value invention. The knowledge structure crystalizes at the inception of the invention making it ideal for evaluating new inventions. More specifically, this research investigates two characteristics of the knowledge structure: knowledge accumulation and knowledge appropriation. Knowledge accumulation is defined as the collective body of knowledge gathered in a sector over time that has contributed to the creation of the invention. A higher degree of accumulated knowledge is more likely to be associated with high technical value inventions. Knowledge appropriation describes absorption of knowledge in the creation of the invention. From knowledge structure perspective knowledge absorption is observed by the emergence of edges that connect knowledge elements together. The robustness of this emergent knowledge structure is thus an indicator of the amount of knowledge appropriated by the invention. This research introduces a new metric for the measurement of knowledge accumulation and presents structural robustness as an indicator of knowledge appropriation. Knowledge accumulation and knowledge appropriation are hypothesized to be positively correlated with the technical value of the invention. This research tests the hypotheses by examining the citation networks of patents in four sectors: thin film photovoltaics, inductive vibration energy harvesting, piezoelectric energy harvesting, and carbon nanotubes. In total 152 base inventions and over 4000 patents are investigated. This research shows that knowledge accumulation is a significant predictor of the technical value of an invention and that high value inventions show a higher level of knowledge appropriation

    A Systematic Review

    Get PDF
    Jardim, B., & De Castro Neto, M. (2022). Walkability Indicators in the Aftermath of the COVID-19 Pandemic: A Systematic Review. Sustainability, 14(17), 1-24. [10933]. https://doi.org/10.3390/su141710933 - -----Funding: This research was funded by the Project C-TECH—Climate Driven Technologies for Low Carbon Cities, grant number POCI-01-0247-FEDER-045919 | LISBOA-01-0247-FEDER-045919, co-financed by the ERDF—European Regional Development Fund through the Operational Program for Competitiveness and Internationalization—COMPETE 2020, the Lisbon Portugal Regional Operational Program—LISBOA 2020 and by the Portuguese Foundation for Science and Technology—FCT under MIT Portugal Program. This work was also supported by Portuguese national funds through the Portuguese Foundation for Science and Technology—FCT under research grant FCT UIDB/04152/2020–Centro de Investigação em Gestão de Informação (MagIC).Walkability indicators are a pivotal method to evaluate the role of the built environment in people’s decisions regarding active mobility, contributing to help promote more sustainable and equitable regions. Currently, there is a lack of literature describing the trends and findings from recent studies, and how research on this topic has responded to COVID-19. In this work, we apply the PRISMA methodology to perform a systematic literature review of studies that employed walkability indicators to uncover associations between walkability and different topics, such as physical activity, health and mobility, in the aftermath of the pandemic. Results show that the growth rate of studies in this period almost doubled compared to the three years prior to the outbreak. We explore the main subjects addressed in recent literature and found that most studies resorted to well-known indicators, predominantly to Walk Score®, while fewer works developed and applied new indicators. General findings point to a positive association between walkability and physical activity, overall health and active mobility. Moreover, in recent works, walkability’s relationship with environmental metrics is not clear and there is a lack of studies linking walkability indicators to COVID-19. More than two years after the worldwide outbreak of the COVID-19 virus, our work provides an effective resource for researchers to understand recent trends in studies employing walkability indicators.publishersversionpublishe

    Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

    Get PDF
    Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute

    A quantitative analysis of knowledge production

    Get PDF
    Mendonça, S., Damásio, B., Freitas, L. C. D., Oliveira, L., Cichy, M., & Nicita, A. (2022). The rise of 5G technologies and systems: A quantitative analysis of knowledge production. Telecommunications Policy, 46(4), 1-28. [102327]. https://doi.org/10.1016/j.telpol.2022.102327 --------------- Funding Information:The authors are thankful to the Special Issue editors and three reviewers for the iterations and advice. We would also like to express our gratitude to Erik Bohlin and Martin Richard Whitehead for their useful comments. Sandro Mendonça acknowledges support from FCT (Fundação para a Ciência e a Tecnologia), Portugal, and the support provided by Business Research Unit (BRU-IUL) and Research Unit on Complexity and Economics (UECE-REM). The work also benefited from grants UID/GES/00315/2013,UIDB/00315/2020; UIDB/05069/2020; PTDC/EGE-ECO/30690/2017 and is part of the project PTDC/EGE-ECO/30690/2017. Bruno Damásio acknowledges the financial support provided by FCT Portugal under the project UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC). Although some of the authors have professional links with regulators and international institutions, in the present (ANACOM, Anatel, ECB, RCB, Italy, OECD) or in the recent past (AGCOM, UKE), this piece is written in their personal and scientific capacities. All the views and shortcomings remain the responsibility of the authors alone.The advent of a new generation of wireless communications has punctuated the dawn of every decade in recent times. Upgrades to mobile electronic systems represent faster and more robust capabilities of data transfer but bring with it a wide set of complementary changes as they are underpinned by harmonised specific spectrum bands, fresh international technical standards, new network operation requirements, innovative cellular devices as well as new services and a broader array of potential commercial use applications. This paper presents a systematic outline of the development of 5G-related research until 2020 as revealed by over 10,000 science and technology publications. The exercise addresses the emergence, growth, and impact of this body of work and offers insights regarding disciplinary distribution, international performance, and historical dynamics. Findings reveal the progressive growth of the 5G research over the years after original contributions in 2010 and point to a “take-off” around 2014. A set of stylised facts regarding this technology since its infancy are of interest to engineers, regulators and innovation strategists and policy-makers.publishersversionpublishe

    Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing

    Get PDF
    Inventions combine technological features. When features are barely related, burdensomely broad knowledge is required to identify the situations that they share. When features are overly related, burdensomely broad knowledge is required to identify the situations that distinguish them. Thus, according to my first hypothesis, when features are moderately related, the costs of connecting and costs of synthesizing are cumulatively minimized, and the most useful inventions emerge. I also hypothesize that continued experimentation with a specific set of features is likely to lead to the discovery of decreasingly useful inventions; the earlier-identified connections reflect the more common consumer situations. Covering data from all industries, the empirical analysis provides broad support for the first hypothesis. Regressions to test the second hypothesis are inconclusive when examining industry types individually. Yet, this study represents an exploratory investigation, and future research should test refined hypotheses with more sophisticated data, such as that found in literature-based discovery research
    corecore