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1.
Statistical analysis for strategic innovation decisions in Slovenian mechanical industry
Peter Fatur, Borut Likar, 2010, original scientific article

Abstract: The objective of this study is to identify the main factors influencing the innovation and R&D performance of the machinery and equipment manufacturing industry in the Republic of Slovenia (RS). The research is based on statistical data from the Statistical Office of RS. Spearman's coefficient of correlation has been applied to the entire set of input and output variables in calculating the correlation coefficients. Results indicate the existence of two clusters of companies. Both are innovation followers but differ in their capabilities to produce breakthrough innovations and innovation-related turnover. For both of them, no correlation between the innovation outputs and business/financial performance is present. Based on the empirical findings, we propose some organizational areas where additional managerial effort needs to be invested. Thus, the research also has a practical implication for the enterprises as well as for the national policy makers.
Found in: ključnih besedah
Summary of found: ...innovations, R&D, technology, industrial management, productivity, performance, proizvodnja, ...
Keywords: innovations, R&D, technology, industrial management, productivity, performance, proizvodnja
Published: 15.10.2013; Views: 1447; Downloads: 13
URL Full text (0,00 KB)

2.
Production optimisation - case of foundry factory
Matjaž Novak, Boris Čuk, Rok Strašek, 2013, original scientific article

Abstract: Production optimisation is the major objective of any production process and it is tightly related to long term sustainable development of any production factory. Among production optimisation frameworks the overall equipment efficiency (OEE) methodology is the most popular one. However, this methodology approaches production optimisation only from the technology point of view and ignore the economic perspective of optimisation. This article develops case study approach to compare two different methodological approaches which relate technical and cost efficiency. The first framework is based on econometric techniques and regression analysis. The second one is based on mathematical modelling. Basic difference between both is related to the explanation power of model used. Econometric approach allows error term and consequently only regression relationship between technical and cost efficiency. Mathematical modelling requires definition relationship between technical and cost efficiency. To take the decision of which framework is preferable we apply both methodological approaches in the case of foundry industry. Our results select mathematical modelling with key performance indicator overall cost efficiency (OCE) framework as preferable methodological approach to production optimisation.
Found in: ključnih besedah
Summary of found: ...cost efficiency, OCE, econometrics, mathematical modelling, microeconomics, industrial management, sustainable use of resources, ...
Keywords: technical efficiency, overall equipment efficiency, OEE, overall cost efficiency, OCE, econometrics, mathematical modelling, microeconomics, industrial management, sustainable use of resources
Published: 15.10.2013; Views: 2131; Downloads: 57
URL Full text (0,00 KB)

3.
The innovative power of (industrial) commons in managing creativity to support network-economics
Eva Gatarik, Rainer Born, 2013, original scientific article

Found in: ključnih besedah
Summary of found: ...of innovation, industrial commons, network economics, knowledge management, creativity, ...
Keywords: ecosystems of innovation, industrial commons, network economics, knowledge management, creativity
Published: 15.10.2013; Views: 2111; Downloads: 22
URL Full text (0,00 KB)
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