Measuring the probability of innovation in technology‐based companies
Journal of Manufacturing Technology Management
ISSN: 1741-038X
Article publication date: 15 March 2011
Abstract
Purpose
The purpose of this paper is to assess the level of innovation of products, processes and services in technology‐based incubated companies.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
Owing to the nature of the sample chosen, the results might not be generalized to broader or international contexts.
Practical implications
The estimated model should contribute as an analytical tool to incubators in evaluating the probability of innovation in technology‐based incubated companies.
Social implications
With the use of this analytical model, incubators should be more capable of developing strategies to stimulate innovation.
Originality/value
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.
Keywords
Citation
Lotti Oliva, F., Cecília Sobral, M., Aparecido dos Santos, S., Isnard Ribeiro de Almeida, M. and Cláudio de Hildebrand e Grisi, C. (2011), "Measuring the probability of innovation in technology‐based companies", Journal of Manufacturing Technology Management, Vol. 22 No. 3, pp. 365-383. https://doi.org/10.1108/17410381111112729
Publisher
:Emerald Group Publishing Limited
Copyright © 2011, Emerald Group Publishing Limited