R&amp;D, innovation activity, and the use of external numerical flexibility

Addessi, William; Saltari, Enrico; Tilli, Riccardo

doi:10.1016/j.econmod.2013.04.026

Cited by 11 publications

(3 citation statements)

References 14 publications

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“…Our empirical analysis reveals that there is a negative correlation between the rate of temporary contracts and the performance of innovation efforts. This result is in line with the work of Mart ınez-S anchez et al (2011) and Addessi et al (2014) which notes that R&D investments perform better in the presence of a commitment to a long-lasting labour relationship. Our work supports the view that the excessive use of temporary workers may be counterproductive as such employees seldom are a source of innovation (Kato and Zhou, 2018).…”

Section: Discussionsupporting

confidence: 91%

The impact of temporary workers on the conversion of innovation efforts into product innovations: the case of Spanish companies

Rodríguez‐Ruiz

Menéndez

Díaz-Martínez

et al. 2020

EBHRM

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PurposeIn this paper, we study the influence of temporary workers in the relationship between innovation effort and product innovation in a large sample of Spanish manufacturing firms in a six-year period.Design/methodology/approachThe article uses a zero-inflated regression model to analyse how the performance of innovation efforts is affected by the impact of temporary employment.FindingsOur results show that the use of temporary employment has adverse effects for the conversion of innovation investments into innovation outputs. Firms with higher levels of fixed-term workers have less product innovations in comparison to firms that do not use this kind of workforce. However, this negative impact is less detrimental in technological-intensive sectors.Originality/valueThe value of this research for employment relations is salient as workers long-term protection seems to enhance the effectiveness of the innovation process. At the same time, the effects of temporary work vary depending on the sector.

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Section: Discussionsupporting

confidence: 91%

The impact of temporary workers on the conversion of innovation efforts into product innovations: the case of Spanish companies

Rodríguez‐Ruiz

Menéndez

Díaz-Martínez

et al. 2020

EBHRM

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“…For example, Elgin et al (2013) analyse how religion motivates individuals to engage in charitable giving and this leads them to prefer making their contributions privately and voluntarily rather than through the state, with religiosity resulting in lower levels of taxes and hence lower levels of spending on both public goods and redistribution. 2 The tobit approach has been used in a very wide range of applications characterised by truncated observations: for recent examples, see Addessi et al (2014) in the context of innovation activity, AlMalkawi et al (2014) in the context of dividend smoothing and Chen et al (2014), who analyse the intellectual capital and productivity of insurers. 3 In contrast to the current paper, the focus of Brown at al.…”

Section: Introductionmentioning

confidence: 99%

An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations

et al. 2015

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Abstract:We apply a latent class tobit framework to the analysis of panel data on charitable donations at the household level where the latent class aspect of the model splits households into two groups, which we subsequently interpret as "low" donators and "high" donators. The tobit part of the model explores the determinants of the amount donated by each household conditional on being in that class. We extend the standard latent class tobit panel approach to simultaneously include random effects, to allow for heteroskedasticity and to incorporate the inverse hyperbolic sine (IHS) transformation of the dependent variable. Our findings, which are based on U.S. panel data drawn from five waves of the Panel Study of Income Dynamics, suggest two distinct classes of donators. There is a clear disparity between the probabilities of zero donations across these classes, with one class dominated by the observed zero givers and associated with relatively low levels of predicted giving. We find clear evidence of both heteroskedasticity and random effects. In addition, all IHS parameters were significantly different from zero and different across classes. In combination, these findings endorse the importance of our three modelling extensions and suggest that treating the population as a single homogeneous group of donors, as is common in the existing literature, may lead to biased parameter estimates and erroneous policy inference. Although we use this model to explain charitable donations, we note that it has wide applicability.

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“…Yet, they are often abandoned (Tsinopoulos et al, 2019). The effects of innovation activities change according to the type of activity, for example, they are positive with product innovation, and null with process innovation (Addessi et al, 2014), or even if the activity is carried out in network collaborations or not (Durst et al, 2020). According to the Oslo Manual, innovation activities include all financial, development and commercial activities, carried out by a company with the purpose of obtaining innovation within the company.…”

Section: Innovation Activities and Technological Innovationmentioning

confidence: 99%

The effects of innovation activities and size on technological innovation in South American manufacturing firms

Luna¹,

Morales²

2022

IJBE

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The process innovation approach is applied in an exploratory research using data gathered from the World Bank Enterprises Survey (WBES). Using probit models on a sample of 1,965 manufacturing firms from seven South American countries, the effects of innovation activities on product and process innovation are determined. Findings indicate that there is a positive relationship. However, these relationships can be different depending on the type of innovation and the size of the firm. We found that most of these activities are related more to product innovation than process innovation, and these relationships have greater statistical significance in SMEs than large companies. Lastly, given the positive effect on these relationships, we conclude by highlighting the importance of managers crafting their innovation portfolios properly and the need for further research to determine the innovative behaviour of manufacturing companies in the context of their respective developing country.

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R&D, innovation activity, and the use of external numerical flexibility

Cited by 11 publications

References 14 publications

The impact of temporary workers on the conversion of innovation efforts into product innovations: the case of Spanish companies

The impact of temporary workers on the conversion of innovation efforts into product innovations: the case of Spanish companies

An inverse hyperbolic sine heteroskedastic latent class panel tobit model: An application to modelling charitable donations

The effects of innovation activities and size on technological innovation in South American manufacturing firms

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