Hernán Alejandro Morero

Internacionalización, Tramas Productivas y Sistema Nacional de Innovación

This paper aims to study the capacity of the National Systems of Innovation to affect the innovative performance of firms in internationalized production activities of a developing economy. The research adopted a production networks perspective on Innovation Systems and the empirical work involved a survey to firms from the automotive productive network in Argentina. The importance of domestic and external sources of knowledge to the innovative performance of these firms was evaluated through the use of multivariate analysis and data clustering techniques. The main findings of the study are that: i) the innovative performance of argentinian auto parts firms is positively related to certain complementation between internal and external sources of knowledge; and that ii) the importance of the national innovation system is essential for them, even if those firms belongs to internationalized production networks that operates in a developing country.

Complementarities between innovation policies in emerging economies. The case of Argentina’s software sector

This paper analyses the presence of complementarity and substitutability relations between innovation policies in the software sector from Argentina. Supermodularity and submodularity tests between obstacles to innovation were performed with technological data from 257 Argentinean software firms, for the period 2008 to 2010. This research adds empirical evidence on the complementarities and supplementarities of innovation policies in an emerging economy and in a knowledge intensive business services sector. This kind of analysis allows to evaluate the convenience to attack jointly or separately a set of obstacles or separately. The results show multiple feedback relations between diverse obstacles and consequently between policies, and the main finding is that, in this emerging economy, innovation policies aimed to encourage firms to become innovators serve as well as an incentive for innovative firms to increase and intensify its innovation performance.

DETERMINANTES DE LA ADOPCIÓN DE LAS TIC EN LAS TRAMAS PRODUCTIVAS AUTOMOTRIZ Y SIDERÚRGICA DE ARGENTINA

This paper contributes to the literature on the determinants of Information and Communication Technologies (ICT) adoption from manufacturing industries at the firm level in Argentina. On behalf of this objective, we estimate a model about the determinants of ICT adoption. The results indicate that the factors that positively influence on ICT adoption are belonging to an economic group, the level of global innovation and the internal level of learning

Multivariate analysis to research innovation complementarities

It is widely recognized that orthodox economics is obsessed with econometrics tools. However, econometrics techniques have a limited capacity to deal with qualitative variables coming from surveys. This paper presents a defence of the use of statistical methods, in particular multivariate analysis, which is the overall objective of the paper. Multivariate analysis is a set of methods that can be used when the problem that arises implies multiple dependent or interdependent variables of a qualitative nature. We considered an issue in the literature to probe multivariate analysis in a particular topic, namely: the question of innovation complementarities. We analyzed the presence of complementarities between internal and external innovation activities in 257 software firms from Argentina during the period 2008–2010, comparing the consideration of the problem of complementarities with the more modern complementarity econometrical tests, super and sub modularity tests arising from diverse firm-innovation function estimations (OProbit, Tobit and Probit), with the engagement of the same issue with multiple factor analysis and cluster techniques. The results show not only that the same results obtained by the econometrical tools can be reached by multivariate analysis techniques, but also that multiple factor analysis and cluster techniques allow for better exploitation of the richness of qualitative data.

Explanatory factors of ICT adoption in the automotive and steel industries in Argentine

This paper contributes to the literature on the determinants of Information and Communication Technologies (ICT) adoption in manufacturing industries at the firm level in Argentina. On behalf of this objective, we estimate a model about the determinants of ICT adoption. The results indicate that the factors that positively influence on ICT adoption belong to an economic group, the level of global innovation and the internal level of learning.