Innovation and productivity in knowledge intensive business services

Musolesi, Antonio; Huiban, Jean-Pierre

doi:10.1007/s11123-009-0163-5

Cited by 81 publications

(65 citation statements)

References 61 publications

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“…The size and diversity variables are only applicable to firms with more than one employee. Capital per employee is a standard variable when measuring productivity; it has been found to be positive in other studies concerning business service sectors (Mansury and Love ; Musolesi and Huiban ). Age and size are normally correlated and have, according to previous studies, a positive effect on firm productivity (Baumol ; Hall and Weiss ; Evans ; Mueller ; Thornhill ; Martínez et al.…”

Section: Resultsmentioning

confidence: 95%

Human capital in firms and regions: Impact on firm productivity

Bäckman

2014

Papers in Regional Science

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This paper analyses the importance of human capital for firm productivity and makes a clear distinction between the role of human capital inside and outside of the firm. A multilevel model is used for the business service sector in Sweden controlling for heterogeneity across the industry and municipal level. Human capital in firms in terms of education, experience, and cognitive skills and the firm's overall access to human capital has a positive impact on firm productivity. In addition, firm attributes explain the largest proportion of firm productivity variance.

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Section: Resultsmentioning

confidence: 95%

Human capital in firms and regions: Impact on firm productivity

Bäckman

2014

Papers in Regional Science

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“…The research of Crépon at al. engendered many studies that share a similar vision of the innovation process (Lööf et al, 2003;Janz et al, 2004;Griffith et al, 2006;Jefferson et al, 2006;Duguet, 2006;Lööf & Heshmati, 2006;Johansson & Lööf, 2008;Heshmati, 2009;Mairesse & Robin, 2009;Musolesi & Huiban, 2010). This structural framework is known as the CDM approach.…”

Section: Introduction and Literature Reviewmentioning

confidence: 97%

Innovations and productivity: the shift during the 2008 crisis

Teplykh

2017

Industry and Innovation

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“…In addition, studies of di®erent industries and countries [Janz et al (2004); Gri±th et al (2006); L€ o€ of and Heshmati (2006); Mairesse and Robin (2009) ;Musolesi and Huiban (2010);Hall (2011)] give comparable results of the most signi¯cant factors in c Censored regression is a regression with a dependent variable that is observed with restricting (censoring) of possible values. In this case, the model can be censored from one side only (from below or from above) or from both sides.…”

Section: Theoretical and Empirical Studiesmentioning

confidence: 99%

Innovation and Performance: An Empirical Study of Russian Industrial Companies

Трачук

Линдер

2018

Int. J. Innovation Technol. Management

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The paper investigates the relationship between investment in research and development (R&D), innovation expenses, and productivity of manufacturing companies. These empirical results have shown that innovation investments (1) improve the performance of industrial companies with the elasticity of 0.09; (2) innovation investment has an impact on the performance of the company, and the extent of this impact depends on the value of R&D investment and has a range of elasticity ranging from 0.03 (for low volumes of R&D investment) to 0.16 in high volumes of R&D investment; (3) the relationship between innovation investment and the growth of performance is nonlinear in nature and has a strong positive relationship only after a critical mass of innovation investment has been reached; (4) a signi¯cant role in the relationship of innovation investment and productivity is played by the features of the industry in which the company operates (the companies that operate in high-tech industries not only invest more in R&D and innovation but also have a better performance due to research and development); (5) companies of low-tech industries have a negative elasticity of innovation investment and productivity, which is due to the in°uence of unpro¯table innovation investments (appropriability e®ect), i.e. additional pro¯ts from the investment are not signi¯cant.

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Innovation and productivity in knowledge intensive business services

Abstract: Productivity, Innovation, R&D, Knowledge intensive business services, O31, O32, O33, L8, C31, C33,

Cited by 81 publications

References 61 publications

Human capital in firms and regions: Impact on firm productivity

Human capital in firms and regions: Impact on firm productivity

Innovations and productivity: the shift during the 2008 crisis

Innovation and Performance: An Empirical Study of Russian Industrial Companies

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