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The purpose of this paper is to deepen the discussion regarding the competitiveness of clusters based on a theoretical and empirical study that compares the level of competitiveness of the Brazilian wine cluster located in Serra Gaúcha with the competitiveness of the Chilean cluster located in Valle del Maule.

A qualitative-descriptive approach was applied to the study, and data collection was conducted through secondary sources.

The analysis employed a competitiveness analysis model consisting of 11 competitiveness factors. The Chilean cluster presented a higher level of competitiveness in four competitiveness factors (“scope of viable and relevant business,” “introduction of new technologies,” “balance with no privileged positions” and “oriented strategy”), while the Brazilian cluster presented a higher level of competitiveness in three competitiveness factors (“concentration,” “cooperation” and “replacement”). For four of the competitiveness factors of the model, both clusters presented similar levels of competitiveness.

By comparing the two wine clusters, it was possible to identify aspects that can be improved to increase competitiveness, especially in the Brazilian cluster. These aspects include, first, the need for bottle manufacturers in Serra Gaúcha, which would have a positive impact on production costs; second, the expansion of the geographical indication registration for the entire Serra Gaúcha region, resulting in an enhanced image of Brazilian wine abroad; and third, greater incentives for exports, which would result in an increase in market share.

The paper proposes an explanation for the superior level of competitiveness of the Chilean cluster regarding the “scope of viable and relevant business,” “balance with no privileged positions,” “introduction of new technologies” and “strategy focussed on cluster development.” In terms of its contribution, the study developed additional metrics for the model adopted, which can be used for the competitive analysis of other agribusiness clusters.

The purpose of this paper is to assess the level of innovation of products, processes and services in technology‐based incubated companies.

On the basis of this review, the stages of development of companies incubated in the Incubating Center for Technological Companies São Paulo, Brazil, were analyzed and through the integration of three different statistical techniques (factorial analysis, cluster analysis and logistic regression), a basis for analyses and considerations was obtained: the companies studied were segregated into clusters according to each one's stage of innovation.

A statistical model was estimated to calculate the probability of innovation of the companies – a methodological tool for evaluating the actual presence of innovation in technology‐based companies installed in incubators.

Owing to the nature of the sample chosen, the results might not be generalized to broader or international contexts.

The estimated model should contribute as an analytical tool to incubators in evaluating the probability of innovation in technology‐based incubated companies.

With the use of this analytical model, incubators should be more capable of developing strategies to stimulate innovation.

This paper reviews widely the contributions of authors concerning factors of innovation in order to present a model drawn from three different multivariate analyses. Furthermore, the theme of innovation assessment in technology‐based incubators has few contributions.

The purpose of this paper is to analyse the importance of innovation in the industry; factors that condition technological competitiveness at Magneti Marelli Controle Motor; analyse the risks and opportunities involved in the process of diffusion and management of flexfuel technology.

The methodological approach was qualitative/descriptive case study, supported by the theoretical framework on risk analysis and strategic analysis.

In a Brazilian market context, new technologies need to make cars more competitive in cost/price terms. Magneti Marelli had an innovative and important role in the development and implementation of this technology. Thus, it achieved a higher share of market and recognition of its entrepreneurial character.

There are few academic papers that relate the topics risk, strategy and Innovation. Moreover, the paper reports a successful case of Brazilian innovation in the global automotive industry.