Towards literature-based innovation output indicators

Kleinknecht, Alfred; Reijnen, Jeroen O.N.

doi:10.1016/0954-349x(93)90012-9

Cited by 25 publications

(11 citation statements)

References 5 publications

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“…The traditional measures of R&D intensity and patent counts were widely recognized as inadequate, reflecting only the input side of the innovation process. Several approaches were proposed: counting innovations that are mentioned in the 'product news' columns of trade journals (Kleinknecht & Reijnen, 1993;and Santarelli & Piergiovanni, 1996); calculating the number of years a patent is renewed and the number of countries in which protection for the same invention is sought (Lanjouw et al, 1998); detailed analysis of knowledge formation and technical development (Laestadius, 1998); composite measures using R&D, patent and educational data (Jacobsson et al, 1996) or factor analysis depicting the technical (input side) and the market dimension (output side) for both product and process innovations (Hollenstein, 1996); and using multiple indices to represent both technological dynamics and structural change, including intrinsic and environmental qualities of a process; rate of renewal, relevance of R & D; product quality and degree of diversification;…”

Section: G Indicatorsmentioning

confidence: 99%

Industrial Dynamics: A Review of the Literature 1990–2009

Carlsson

2016

Industry and Innovation

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Section: G Indicatorsmentioning

confidence: 99%

Industrial Dynamics: A Review of the Literature 1990–2009

Carlsson

2016

Industry and Innovation

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“…This indicator type is usually used to measure the degree of radicalness of innovations. However, LBIOs do not capture in-house process innovations and the measure can be inflated for some technologies which might help firm profits to improve by signaling innovativeness (Coombs 1996) or if other diverging incentives for firms to publish product innovations exist (Kleinknecht and Reijnen 1993). In addition, Acs, Anselin, and Varga (2002) indicate that…”

Section: Shortcomings Of Established Inovation Indicatorsmentioning

confidence: 99%

Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany

Kinne

Axenbeck

2018

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. http://ftp.zew.de/pub/zew-docs/dp/dp18033.pdf Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar. Terms of use: Documents inDis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. August 2018Abstract: Nowadays, almost all (relevant) firms have their own websites which they use to publish information about their products and services. Using the example of innovation in firms, we outline a framework for extracting information from firm websites using web scraping and data mining. For this purpose, we present an easy and free-to-use web scraping tool for large-scale data retrieval from firm websites. We apply this tool in a large-scale pilot study to provide information on the data source (i.e. the population of firm websites in Germany), which has as yet not been studied rigorously in terms of its qualitative and quantitative properties. We find, inter alia, that the use of websites and websites' characteristics (number of subpages and hyperlinks, text volume, language used) differs according to firm size, age, location, and sector. Web-based studies also have to contend with distinct outliers and the fact that low broadband availability appears to prevent firms from operating a website. Finally, we propose two approaches based on neural network language models and social network analysis to derive firm-level information from the extracted web data.

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“…There is only a handful or papers that study utility models (Shangai Patent Agency, 1990;KleinKnecht and Reijnen, 1993;Beneito, 2006). Arguments support the direct positive effect of grants on utility models if their aim is to promote incremental innovation (Milesi et al, 2013), but negative if the goal is to foster radical innovation (Li, 2009).…”

Section: The Effect Of Public Funding On Utility Modelsmentioning

confidence: 99%

Technological impact of R&D grants on utility models

2016

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We evaluate the impact of public grants on the technological output of Spanish manufacturing companies using the utility models as a measure and compare them with patents. We postulate that capabilities of the firm play a decisive moderating role in the relationship between grants and utility models. Results suggest that a firm's capability to constantly maintain an updated knowledge base has a positive influence on the abovementioned relationship. Also, firm's capabilities of planning innovation, and cooperating with partners, and its absorptive capacity are crucial in the creation of both utility models and patents.

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Towards literature-based innovation output indicators

Cited by 25 publications

References 5 publications

Industrial Dynamics: A Review of the Literature 1990–2009

Industrial Dynamics: A Review of the Literature 1990–2009

Web Mining of Firm Websites: A Framework for Web Scraping and a Pilot Study for Germany

Technological impact of R&D grants on utility models

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