Variety and the evolution of refinery processing

Nguyen, Phuong; Saviotti, Pier-Paolo; Trommetter, Michel; Bourgeois, Bernard

doi:10.1093/icc/dth059

Cited by 25 publications

(10 citation statements)

References 14 publications

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“…Disparity refers to the manner and degree in which categories may be distinguished (Runnegar 1987). This is addressed by an array of taxonomic indices in paleontology (Williams and Humphries 1994), conservation biology (Solow and Polasky 1994) and economics (Nguyen et al 2005). This notion is usually based on some 'distance' measure.…”

Section: Review Of Related Studiesmentioning

confidence: 99%

A general framework for describing diversity within systems and similarity between systems with applications in informetrics

et al. 2012

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Building on the ideas of Stirling (J R Soc Interface, 4(15), [707][708][709][710][711][712][713][714][715][716][717][718][719] 2007) and Rafols and Meyer (Scientometrics, 82(2), 263-287, 2010), we borrow models of genetic distance based on gene diversity and propose a general conceptual framework to investigate the diversity within and among systems and the similarity between systems. This framework can be used to reveal the relationship of systems weighted by the similarity of the corresponding categories. Application of the framework to scientometrics is explored to evaluate the balance of national disciplinary structures, and the homogeneity of disciplinary structures between countries.

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Section: Review Of Related Studiesmentioning

confidence: 99%

A general framework for describing diversity within systems and similarity between systems with applications in informetrics

et al. 2012

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“…Within this perspective, diversity appears as one of the main factors in the evolutionary path of a firm (Nguyen et al, 2005), and, in turn, it allows firms to build new competencies (Malerba and Orsenigo, 2000). Moreover, from the intersection of industrial economics and industrial relationship, variety has been seen as a key feature of an industrial regime (Coriat, 1995).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Linking workforce diversity in education, technological innovation strategies and firms´ organization

Bello‐Pintado¹,

Bianchi²

2017

Blucher Engineering Proceedings

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Abstract:This paper analyses the relationship between workforce diversity in education and skills and the propensity to engage in technological innovation (TI) activities in in the Uruguayan manufacture industry. We have distinguished between embodied and disembodied TI. Results show a positive and significant relationship between both diversity in education and skills and disembodied TI activities. Moreover, the moderating role of flexible forms of work organization is positive and significant for diversity in education when firms engage in disembodied TI.Keywords: diversity in education; diversity in skills; disembodied technological innovation; work organization JEL codes: O32 M14 L60 Resumo:O artigo analisa a relação entre a diversidade em educação e competências da força de trabalho e a propensão inovadora das empresas na indústria uruguaia de transformação. Com o intuito de identificar diferentes estratégias inovadoras, distingue-se entre inovações incorporadas em bens de capital de aquelas desincorporadas que a empresa desenvolve. Observa-se um efeito de mediação positiva das formas avançadas de organização do trabalho na relação entre diversidade e propensão inovadora, mas somente quando em aquelas empresas que desenvolveram inovações não incorporadas.Palavras chave: diversidade em educação; inovação tecnológica não incorporada, organização do trabalho Código JEL: O32 M14 L60 2

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“…[2]. For applications of this approach to helicopters, see Saviotti and Trickett, 1992; to aircraft, see Frenken and Leydesdorff, 2000; to refineries, see Nguyen et al, 2005. Table 3 summarises commonly used outcome metrics applied to energy technology innovation with frequent issues associated with the practical application of each metric also noted.…”

Section: Input Metricsmentioning

confidence: 99%

Input, Output, and Outcome Metrics for Assessing Energy Technology Innovation

Wilson¹

2013

Energy Technology Innovation

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AUTHORS' SUMMARYA variety of quantitative methods have been used to analyse energy technology innovation. These range from efforts to identify and isolate the effects of particular policies or innovation processes such as research and development, to studies of the broader social benefits of energy technology innovation. Innovation metrics can thus describe innovation inputs, outputs or outcomes. This case study presents the commonly used metrics in each of these categories, together with the main issues associated with their application. The discussion then identifies some broader issues with the use of quantitative metrics to analyse energy technology innovation including the lack of integrated metrics, problems with quality control, and difficulties with cross-country and cross-technology comparisons.

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Variety and the evolution of refinery processing

Cited by 25 publications

References 14 publications

A general framework for describing diversity within systems and similarity between systems with applications in informetrics

A general framework for describing diversity within systems and similarity between systems with applications in informetrics

Linking workforce diversity in education, technological innovation strategies and firms´ organization

Input, Output, and Outcome Metrics for Assessing Energy Technology Innovation

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