Measuring technological capabilities at the country level: A survey and a menu for choice

Archibugi, Daniele; Coco, Alberto

doi:10.1016/j.respol.2004.12.002

Cited by 253 publications

(135 citation statements)

References 21 publications

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“…Patents are a key step in the whole technological innovation process (Ndonzuau et al, 2002), and are usually used as indicator of inventive and innovative activities (Archibugi and Coco, 2005;Motohashi, 2005;Pouris, 2005;Miyata, 2000).…”

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confidence: 99%

Industry work experience and inventive capacity of South African academic researchers

Lubango

Pouris

2007

Technovation

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The inventive capacity of South African universities and researchers is investigated through analysis of university patent applications. Patent applications to the South African Patent office from 1996 to 2006 are used as an indicator of inventive capacity.The investigation determines, for the first time, patenting activities of local universities at the South African Patent Office for the past 10 years and it identifies the performance of faculties and departments. We suggest that patent analysis of local patent offices in developing countries provides a more comprehensive picture of inventive activity than the analyses in the main patent offices in USA and Europe.The assertion that industrial experience affects the inventiveness of academic staff is also investigated. The study finds that most inventors or co-inventors held at least one position in industry, or in some cases, specialized parastatals (non-university institutions) prior to patent application. The study supports the idea that experience and the professional trajectory of scientists through migration from industry to university leads to an increase of researchers' scientific and technical human capital which is convertible into high performance or inventive capacity. We argue that this linkage is valid equally in developed and developing countries (like South Africa) and that universities internationally wishing to improve their entrepreneurial character should aim to employ academic with industrial prior experience.

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confidence: 99%

Industry work experience and inventive capacity of South African academic researchers

Lubango

Pouris

2007

Technovation

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“…In the view of efficient selection, some may prioritize the evaluation of technological capability by selecting only one form of the knowledge. However, Archibugi and Coco [41] stated that codified knowledge, such as manuals and patents, are as important as knowledge obtained by implicit learning, and suggested that a partial evaluation can overlook a fundamental part of technological capability. Meanwhile, Nonaka [39] argued that knowledge is created through a conversion process of tacit knowledge and explicit knowledge.…”

Section: Evaluating Technological Capabilitiesmentioning

confidence: 99%

Evaluating Internal Technological Capabilities in Energy Companies

Lee

2016

Energies

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Abstract:As global competition increases, technological capability must be evaluated objectively as one of the most important factors for predominance in technological competition and to ensure sustainable business excellence. Most existing capability evaluation models utilize either quantitative methods, such as patent analysis, or qualitative methods, such as expert panels. Accordingly, they may be in danger of reflecting only fragmentary aspects of technological capabilities, and produce inconsistent results when different models are used. To solve these problems, this paper proposes a comprehensive framework for evaluating technological capabilities in energy companies by considering the complex properties of technological knowledge. For this purpose, we first explored various factors affecting technological capabilities and divided the factors into three categories: individual, organizational, and technology competitiveness. Second, we identified appropriate evaluation items for each category to measure the technological capability. Finally, by using a hybrid approach of qualitative and quantitative methods, we developed an evaluation method for each item and suggested a method to combine the results. The proposed framework was then verified with an energy generation and supply company to investigate its practicality. As one of the earliest attempts to evaluate multi-faceted technological capabilities, the suggested model can support technology and strategic planning.

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“…For a detailed discussion of issues, see Archibugi and Coco, 2005. As noted in Table 1 above, both R&D expenditure and investment data vary as to the system boundaries or definition of what is included (e.g., sources and targets) and to the coverage of the innovation lifecycle (Sagar and Holdren, 2002).…”

Section: Cross-country Comparison Of Innovation Metricsmentioning

confidence: 99%

“…Comparisons of innovation metrics across countries also need to control for confounding factors. For example, comparisons of human resource metrics need to account for labour cost differentials, and comparisons of peer-reviewed papers may be biased by different cultural attitudes towards the importance of publications, and by access to English language journals (Archibugi and Coco, 2005 rights varies widely between countries both in terms of propensity to patent, as well as the quality and accessibility of the patent system (Basberg, 1987). Cross-country comparisons of energy and emissions intensity are confounded by numerous factors including the structural weighting of economic activity towards certain types of production (e.g., Alcantara and Duro, 2004), relative energy prices (Miketa, 2001), climatic factors, urban form, resource endowments, and so on.…”

Section: Cross-country Comparison Of Innovation 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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Measuring technological capabilities at the country level: A survey and a menu for choice

Cited by 253 publications

References 21 publications

Industry work experience and inventive capacity of South African academic researchers

Industry work experience and inventive capacity of South African academic researchers

Evaluating Internal Technological Capabilities in Energy Companies

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

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