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Projects / Programmes source: ARIS

Reference Innovation Model – a model of comprehensive management of innovation proccesses in companies

Research activity

Code Science Field Subfield
5.02.00  Social sciences  Economics   

Code Science Field
S180  Social sciences  Economics, econometrics, economic theory, economic systems, economic policy 
Keywords
innovation, R&D, management, society
Evaluation (rules)
source: COBISS
Researchers (9)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  04973  PhD Cene Bavec  Administrative and organisational sciences  Researcher  2008 - 2011  354 
2.  05996  PhD Slavko Dolinšek  Manufacturing technologies and systems  Researcher  2008 - 2009  569 
3.  24668  MSc Peter Fatur  Administrative and organisational sciences  Researcher  2008 - 2011  184 
4.  24564  Staša Ferjančič  Administrative and organisational sciences  Technical associate  2010 - 2011 
5.  10201  PhD Borut Likar  Economics  Head  2008 - 2011  797 
6.  21890  PhD Mirko Markič  Administrative and organisational sciences  Researcher  2008 - 2011  689 
7.  30728  Marijana Pregarac    Technical associate  2009 
8.  27943  PhD Karmen Rodman  Administrative and organisational sciences  Researcher  2009 - 2011  73 
9.  11077  PhD Denis Trček  Computer science and informatics  Researcher  2008 - 2011  323 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,049 
2.  7097  University of Primorska, Faculty of management  Koper  1810014002  10,108 
Abstract
The purpose of our research is a design of » Innovation Reference Model«. Scientific importance of the research developed on the basis of an analysis of the most successful companies may be observed in addressing all modern innovation factors. Expected concrete research results with an international relevance shall be just as important. The model shall offer a set of influence and innovation factors classified as per their importance and related with economic successfulness of a company. Research results (mathematical model) shall be upgraded with users’ module, so-called "Innovation beyond numbers", which shall represent additional functional value for companies. Multi-layer model shall serve companies on strategic level and at the same time on tactical and operational level for improving their economic efficiency. If companies decide to compare the state of their company with concrete values of the best companies (benchmarking), they shall be able to define their innovation strategy and objectives as well as regularly follow their progress. Beside the aforementioned, the results shall be relevant and important also for competent state institutions which may contribute to the improvement of the state by systemic measures appertaining to the research. We believe that the project represents an original approach to development of innovation as science and increase of innovativeness and consequently economic efficiency of the economy.
Significance for science
The scientific importance is demonstrated in an original analysis of innovation processes in the Slovenian economy, i.e. in large and medium-size companies. The emphasis lies in a comprehensive concept of addressing contemporary factors of innovativeness, developed on the basis of international findings, yet adjusted to the Slovenian economy. The project was designed in the form of two partial, yet complementary and reciprocally aligned, researches. The first research is based on the national data collected by SURS (Statistical Office of the Republic of Slovenia) which proves important by reason of integrating a majority of the Slovenian companies and applying the internationally standardised methodology of research. However, the later fails to address the innovativeness comprehensively enough from the content point of view. Therefore, we supplemented it with our own research carried out in selected companies, thus substantially complementing the first one. Due to many reasons (methodological, time aspects, degree of data overleaping, and suchlike) we opted for two separate quantitative analyses, and combined the results of both researches at the end. Required comprehensiveness, not attained by a substantial part of international researches, was thus achieved. Furthermore, aspects of innovation in Slovenia were additionally thoroughly highlighted, which pursuant to several indicators proves below the EU average (Eurostat, Global Competitiveness Report and suchlike). The researches carried out in other states, especially developed countries, provide only a partial basic premise for improving the situation in Slovenia or less-developed countries. Even so, the findings revealed in developed economies may be partially transferred into Slovenia, yet frequently these are only generalised approaches which fail to answer the specifics of Slovenia/less-developed countries. Scientific contribution is demonstrated in the methodology of a comprehensive address of innovation factors and related scientific findings thereof, important also in the international arena. The result is a wide-ranging and well-structured set of important influencing factors, which lead to innovation results in processing and service sector and to an ensuing improvement in business result. In our research, we thus discovered, for instance, that it proves reasonable to address companies separately for processing and service sector and within such division to address separately also the companies with low or high degree of technological development or knowledge. We thus establish that innovation activities fail to contribute to improved economic results even in the most innovative Slovenian companies in a high-tech group of processing companies. Consequently, methodology of innovation development needs to be adjusted for this extremely important segment of economy, which is enabled by the scientific results. Furthermore, as regards the scientific findings our project also contributes to demonstrating a systematic transition from non-innovative or poorly-innovative company to a company with higher value added as a consequence of innovation. The result of a project presents the basic premise separately for processing and service sector, and within each also pursuant to the degree of technological development or knowledge. These are important grounds which bring contribution from the scientific aspect as well as in practical guidelines (Reference Innovation Model) towards a more quality orientation of innovation processes in companies.
Significance for the country
The researches on innovation in Slovenia (CIS Eurostat) point out that the innovativeness in Slovenia was improving for a certain period of time; in particularly in the analytical period of 2002-2006 (a slight regression may be observed in the last period, i.e. 2006-2008). However, in comparison to competitive countries the aforementioned progress recorded in previous years is no longer so obvious, since others also advance. An analysis of data collected in the Global Competitiveness Report proves interesting: Slovenia has fallen from the 37th place recorded last year to the 45th place. International researches show that investments into innovation are proportionate to economic results not only at the company’s level but also at the state’s level. However, some tend to exploit these investments better than others, e.g. Switzerland, Germany and Ireland, with Slovenia still ranking below average. Data thus indicate that Slovenia exploits its innovation potential still considerably insufficiently. Pursuant to the findings of our research this is particularly evident in some sectors. All of the aforementioned clearly indicates a need that Slovenia or its companies develop their own strategy on improving innovation potential and at the same time its efficiency. Direct research results were upgraded with user’s model, the so-called “Reference Innovation Model”, which represents additional application value for companies. Multilayer model shall serve companies at the strategic level; however, it may also be applied at the operational level for the purposes of improving their own economic efficiency. In the event these companies compare their situation with concrete values recorded in the best companies and respect provided guidelines, they shall be able to set forth their own innovation strategy and objectives and simultaneously follow their own progress. Beside that the results provide a number of practical guidelines for holders of innovation and economic policy in the state. Innovation management in the state should not be left to generalised guidelines based on “current inspiration” of policy holders and tender preparers. Innovation policy needs to be directed on the basis of long-term, systematic and comprehensive guidelines which are based on clear scientific foundations designed on the basis of international scientific and professional findings, yet adjusted to Slovenian specifics. We are convinced that our project represents an original approach towards the development of innovativeness as science and towards raising innovativeness and consequent economic efficiency of the economy. We believe that upon implementing dissemination (a part already performed, the second part follows after the conclusion of the research) the significance of the project for the economy and society shall gain additional importance.
Most important scientific results Annual report 2008, 2009, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2008, 2009, final report, complete report on dLib.si
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