DEVELOPMENT AND OPERATIONALIZATION OF A MODEL OF INNOVATION MANAGEMENT SYSTEM AS PART OF AN INTEGRATED QUALITY-ENVIRONMENT-SAFETY SYSTEM

This paper attempts to give an economic perspective of the impact of the innovation industries. The estimation method used is that of panel data modelling, based on data from regions from European countries, including countries from Central and Eastern Europe, for which exploratory analysis was conducted on the effects of employment counts, number of companies, and wages per capita, in computer and related activities and research and development industries.Higher employment in both industries have positive effects on total employment and GDP/Capita. No sizable displaced workers effects can be seen, as higher employment and wages/capita in innovation industries are accompanied by higher employment and lower unemployment at regional level. Positive effects can be observed for both young and mature workers, and are stronger for the latter, pointing out to strong potential spillover effects. Number of local companies is not a relevant indicator for assessing the influence of research and development activities. All these effects point to the sustainability of innovation industries, which not only lead to increase of GDP per capita, but also show positive spillover effects, increase employment and reduce unemployment.The results for countries from Central and Eastern Europe (CEE) have been to some extent less significant, due to several objective factors. The results should also be viewed in the framework of the transition and catch-up period that characterizes the evolution of the CEE economies. The positive effects of strong growth are primarily reflected in GDP growth, and it may be that it takes a while for these effects to propagate in the rest of the economy in terms of job creation and sizable reduction of unemployment.While the current analysis revealed some of the first-round impacts of the innovation industries, much work remains to be done in matching these effects with other determinants of employment and unemployment, which can improve existing models with relevant empirical elements.The results of the research, presented in this article, have the purpose to contribute in the area of innovation management and its relation to other management systems. The research objective is to give to organizations a model of innovation management system as part of an integrated management system.Defining the model of innovation management system is based on the four perspectives of the balanced scorecard tool, namely: financial perspective, learning and developm