Issues in measuring innovation

Panne, G. van der

doi:10.1007/s11192-007-1691-2

Cited by 20 publications

(8 citation statements)

References 7 publications

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“…Moreover, Haagedoorn and Cloodt (2003) conclude (for an international sample of 1,200 high‐technology firms) that there is a very large statistical overlap between the four indicators they consider (R&D inputs, patent counts, patent citations and new product announcements), such that in their opinion future research can essentially use any of these indicators individually to measure the innovative performance of firms. While Haagedoorn and Cloodt (2003) do not explicitly consider the CIS‐based product innovation measures, but rely on literature‐based innovation output (LBIO) data, Van der Panne (2007) shows that product innovation data based on LBIO data and on the CIS data yield similar results in terms of the distribution of innovators in terms of firms size, distribution across industries and degree of innovativeness.…”

Section: Datamentioning

confidence: 99%

Does Firm Agglomeration Drive Product Innovation and Renewal? An Application for Belgium

Beule

Beveren

2012

Tijd voor Econ & Soc Geog

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This paper uses data from the Community Innovation Survey for Belgium to evaluate to what extent firms located in sectors and regions characterised by high employment concentration innovate more. We analyse the innovative performance of Belgian firms and relate it to agglomeration measures, as well as to a number of control variables. Our findings show a positive impact of localisation and urbanisation economies on firm-level innovation output, lending support to the hypothesis that firms can benefit from their location within regions/sectors characterised by high employment concentration. In an analysis of low, medium, and high-tech manufacturing and service industries, localisation economies are shown to improve firms' innovativeness only for low-tech manufacturing and service sectors, while urbanisation externalities are shown to matter more for high-tech service sectors. This suggests that localisation economies can be an important source of competitiveness for low-tech sectors, while urbanisation economies improve innovativeness of high-tech service firms.

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Section: Datamentioning

confidence: 99%

Does Firm Agglomeration Drive Product Innovation and Renewal? An Application for Belgium

Beule

Beveren

2012

Tijd voor Econ & Soc Geog

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“… rétrospective et macroéconomique (Blank, 2010;Kuznets, 1962;Sanchez, et al, 1999;Van Der Panne, 2007) ;…”

Section: La Valeur De L'innovation Un Débat Ancien Ontologie Du Conunclassified

Évaluation et valorisation lors de la conception innovante : vers un contrôle de gestion de l’immatériel adapté aux processus d’innovation

Bertheau¹,

Roche²,

Dufour³

2015

Recherches en Sciences De Gestion

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Le succès d’une innovation est imprévisible, c’est un résultat bien établi dans la littérature. On en déduit généralement que la détermination de la valeur de cette innovation ne peut être que tardive, voire rétrospective. En nous appuyant sur les apports récents du contrôle de gestion qualimétrique, nous cherchons à invalider ce postulat et posons que les acteurs directs de l’innovation sont à même de procéder, dans le cadre d’un processus auquel s’appliquent les règles mêmes de la conception innovante, à une « valuation » précoce et complète, dans un double mouvement d’évaluation et de valorisation.

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“…They discussed the most common innovation indicators and proposed indicators. Similarly, Van Der Panne (2007) dealt with issues in measuring innovation and compared CIS and Literature-based Innovation Output (LBIO) data. Yoo andMoon (2008) used KIS 2002 and approximated the distribution function for the number of innovation activities by applying the mixture model.…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of the Performance of Government Assistance to R&D Activities

Kwak

Yoo

2014

KTIS

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The technological innovation is considered as an important factor and there is a positive externality in developing technology in the form of technology spillover. In this context, it is argued that government should play an active role in advancing technology development and several means have been introduced. This study attempts to analyze manufacturing firms' evaluation for the performance of government assistance programs to their R&D activities. Considering that the performance evaluation takes the form of a count outcome, we apply several kinds of count data models. Some interesting findings emerge from the analysis. For example, we found that a firm's sales amount, dummy for the firm's having an R&D department, dummy for the firm's being a venture one, and the number of the firm's innovative activities have positive relationships with the degree that the firm evaluates government assistance as being useful.

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Issues in measuring innovation

Cited by 20 publications

References 7 publications

Does Firm Agglomeration Drive Product Innovation and Renewal? An Application for Belgium

Does Firm Agglomeration Drive Product Innovation and Renewal? An Application for Belgium

Évaluation et valorisation lors de la conception innovante : vers un contrôle de gestion de l’immatériel adapté aux processus d’innovation

Determinants of the Performance of Government Assistance to R&D Activities

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