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With the growing size of enterprise the share of their focusing only on regional market is decreasing and the share of their focusing on EU, EFTA and other countries market is increasing. The biggest difference is between enterprises with different owners. While Czech firms operate especially on the regional and national market (90 % of firms), the firms of foreign owners more often operate on foreign market (for 36.5 % of them the foreign market is more important) (CZSO, 2010). Factors hampering innovation activity Similarly to Eurostat also the Czech statistical office (CZSO, 2008d and CZSO, 2008c) analyses factors hampering innovation activity. These factors are divided into three groups: market factors (2 factors), knowledge factors (4) and cost factors (3). Generally (and also with regard to Eurostat) it is possible to pronounce that the cost factors are the biggest barriers for Czech innovative enterprises (especially two of them: lack of finance within enterprise and innovation costs too high). In regards market factors 50 % of innovative firms consider the first factor (market dominated by established enterprises) as high or medium relevant and 41.4 % of innovative firms consider the second factor (uncertain demand for innovation goods or services) as high or medium relevant. The knowledge factors are the less limitative factors for Czech innovative enterprises. The factor of the lack of qualified personnel is the most important knowledge barrier for Czech innovative firms (37.3 %). CONCLUSIONS At the sight of individual group of indicators (so called dimensions) it was found out, that the Czech Republic is doing well especially in the dimension Economic effects where the CR ranks on the second place. In no other dimension the Czech Republic ranks better than on the 8 th place. On the contrary, the Czech Republic is doing poorly in the dimension of Finance and support (the second worst place from the selected countries) and in the dimension of Throughputs (European Commission, 2010). The Czech Republic has below-average share of innovative firms. The share of innovative enterprises is higher in manufacturing than in services and it is increasing with the size of the firms. In the group of enterprises with foreign owners the share of innovative enterprises is higher than in the group of enterprises with Czech owners. In the period 2006– 2008 the share of technical innovative enterprises on total number of economic active enterprises in the Czech Republic was 31.6 %. The Pardubice region and the Hradec Kralove region have the highest share of enterprises within the Czech Republic. It is possible to pronounce that the cost factors are the biggest barriers for Czech innovative enterprises (CZSO, 2010). The main weaknesses of the Czech Republic in the field of innovations are lack of the capital (especially risk capital for very young firms), insufficient using of intellectual property rights and low cooperation between firms and research institutes. If the Czech Republic wants to reduce these disadvantages, the authors would like to recommend concentration efforts on support of risk capital, cooperative projects of firms and research organizations and patenting. Evaluation of effectiveness of the government support is very important, too. REFERENCES 1. Commission Regulation No 973/2007 of 20 August 2007 amending certain EC Regulations on specific statistical domains implementing the statistical classification of economic activities NACE Revision 2. 2. Commission Regulation No 753/2004 of 22 April 2004 implementing Decision No 1608/2003/EC of the European Parliament and of the Council as regards statistics on science and technology. 3. Commission Regulation No. 1450/2004 of 13 th August 2004, by which the Decision of the European Parliament and the Council No. 1608/2003/EC about creation and development of the Community statistics in the field of innovation. 4. Czech statistical office (CZSO) (2008a). Innovation Activities of Firms in the Czech Republic in 2004–2006. 122
5. Czech statistical office (CZSO) (2008b). Příklady inovací pro TI 2008, 3 p. 6. Czech statistical office CZSO (2008c). The Harmonised Survey Questionnaire in 2008. 7. Czech statistical office CZSO (2010). Innovation Activities of Enterprises in the Czech Republic in 2006– 2008. 8. Czech statistical office CZSO. (2008d) Metodika šetření. www.czso.cz/csu/redakce.nsf/i/metodika_setreni_statistika_inovaci (14.10.2010). 9. Czech statistical office (CZSO). (2008e) Realizace statistického šetření o inovacích v České republice. www.czso.cz/csu/redakce.nsf/i/realizace_statistickeho_setreni_o_inovacich_v_ceske_republice (14.10.2010) 10. European Commision. (2009). European Innovation Scoreboard 2008. Comparative analysis of innovation performance. Luxemburg: Publications Office of the European Union. 11. European Commision. (2010a). European Innovation Scoreboard (EIS) 2009. Luxemburg: Publications Office of the European Union. 12. European Commision. (2010b) European Innovation Scoreboard (EIS) 2004–2009. www.proinnoeurope.eu/metrics (12.10.2010). 13. EUROSTAT (2006). The Community Innovation Survey 2006 (CIS2006): The Harmonised Survey Questionnaire. 14. EUROSTAT (2008). The Community Innovation Survey 2008 (CIS2008): The Harmonised Survey Questionnaire. 15. EUROSTAT (2010). Science, Technology and Innovation in Europe. Luxemburg: Publications Office of the European Union. 16. Hollanders, H., van Cruysen, A. (2008). Rethinking the European Innovation Scoreboard: A New Methodology for 2008–2010. PRO INNO EUROPE ® . 17. Klusáček, K., Kučera, Z., Pazour, M. a kol. (2008). Kniha zahraničních dobrých praxí při realizaci politik výzkumu, vývoje a inovací. Praha: Technologické centrum Akademie věd ČR. 18. Kučera, Z, Pazour, M. (2009). Srovnání národních inovačních systémů vybraných evropských zemí. Ergo 2009, Vol 4, p. 3–9. 19. Lundval, B. A. (1992). National Innovation Systems: Towards a Theory of Innovation and Interactive Learning. London: Pinter Publisher. 20. Pazour, M. (2009). Revize metodiky mezinárodního srovnání inovační výkonnosti EIS. Ergo 2009, Vol. 3, p. 3–7. 21. Schumpeter, J. A. (1987). Teória hospodárskeho vývoja. Diela svetových ekonómov. Bratislava: Pravda. Ph.D. Viktorie Klímová Masaryk University Faculty of Economics and Administration Department of Regional Economics and Administration Lipová 41a, Brno, Czech Republic Phone: +420549494627 E-mail: klimova@econ.muni.cz Ph.D. Vladimír Zítek Masaryk University Faculty of Economics and Administration Department of Regional Economics and Administration Lipová 41a, Brno, Czech Republic Phone: +420549494627 E-mail: zitek@econ.muni.cz 123
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KONFERENCES ZINĀTNISKĀS PADOMES P
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Yana Kuzmina Cohesion in technical
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medicīnas pētnieks Arčibalds L.
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iepriekšminētos angļu valodā li
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Farmakoekonomikas definīcijai, ņe
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aprūpes ekonomikas sastāvdaļa, k
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ILUTA BĒRZIŅA, TAMĀRA GRIZĀNE L
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Apmeklētāja profila noteikšanas
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1. tabula. Parku apmeklētāja prof
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dienā iztērēja 11,90 LVL, ko izm
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13. Latvijas Vēstnesis (2010-b). L
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šādās teritorijās tika izveidot
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ietekmi ostās, kravu īpašnieku l
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mērogā pēc kravu apgrozījuma ie
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SERVET ÇELİK, ALİ ŞÜKRÜ ÖZBA
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While teacher-fronted presentation
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embarrassment to students who are u
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DAGNIJA DEIMANTE-HARTMANE Liepājas
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vienkārši varētu asimilēt. Otrk
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Taču šeit slēpjas arī draudi, j
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Ir veikts pētījums par iespējām
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apgūst prasmi noteikt mērķus, iz
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choice of an appropriate education
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esearch intensity and availability
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The aid model, which is based on im
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1. attēls. Ekonomiskais potenciāl
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īstermiņa un ilgtermiņa, viendim
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Latvijas Ekonomikas ministrijas eks
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ANNA DROBNY, ALEKSANDRA BŁAWAT Jag
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Drobny (2011). In TPIM companies ma
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capable of self-development and maj
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engage in new areas of organization
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ILONA DUBRA University of Latvia, L
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convergence (Darroch, McNaugton, 20
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Figure 3. Total GBAORD as a percent
Page 72 and 73: Figure 5. Enterprises with innovati
Page 74 and 75: Czech Republic, Estonia, Greece, Sp
Page 76 and 77: GENUTĖ GEDVILIENĖ, DALIA STANIULE
Page 78 and 79: experiential learning situations wi
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Page 82 and 83: Table 2. Practice in the Social wor
Page 84 and 85: Table 4. Mentors on the stages of t
Page 86 and 87: explanation and examination of task
Page 88 and 89: organizēšana - uz tālas, bet mū
Page 90 and 91: Šankars ir arī tēvs vairākas Gr
Page 92 and 93: citiem audzēkņiem. Jaunos mācīb
Page 94 and 95: Indijas klasiskās mūzikas element
Page 96 and 97: ANDREJS JEVSJUKOVS Rīgas Pedagoģi
Page 98 and 99: Audzēkľa vārds un uzvārds Vecum
Page 100 and 101: augstu novērtēta no citu mūziķu
Page 102 and 103: 10. Marshall, W. (1990). Best of Ja
Page 104 and 105: MATERIALS AND METHODS According to
Page 106 and 107: Almost 80 % of students have met wi
Page 108 and 109: ANDA KAULIŅA Rīgas Pedagoģijas u
Page 110 and 111: izlasīt norādes, aizpildīt veidl
Page 112 and 113: Jaunākie pētījumi liecina, ka ab
Page 114 and 115: 22. Money, J. (1966). Reading Disab
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Page 120 and 121: Community Innovation Survey The bas
Page 124 and 125: YANA KUZMINA The University of Latv
Page 126 and 127: The theoretical background Communic
Page 128 and 129: Figure 2. The Analysis of Interview
Page 130 and 131: REFERENCES 1. Bachman, L. F. & Palm
Page 132 and 133: Latvijas valodu skolas ir optimāla
Page 134 and 135: Foundation for European and Foreign
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Page 138 and 139: Lietuviešu vidusskola, Rīgas Igau
Page 140 and 141: SECINĀJUMI 1. Vairāku valodu pras
Page 142 and 143: DIĀNA LIEPA, INTA RATNIECE, INESE
Page 144 and 145: per course. Designed to improve the
Page 146 and 147: One project provided an academic se
Page 148 and 149: 13. Sheppard, K. and Stoller, F. (1
Page 150 and 151: Module 4 Task Group Member Date Com
Page 152 and 153: šīs programmas, Latvijā izstrād
Page 154 and 155: Profesionālās izglītības ieguve
Page 156 and 157: paradumiem un noturīgu pārliecīb
Page 158 and 159: 2. attēls. I studiju gada studentu
Page 160 and 161: Studenti savas zināšanas par LR l
Page 162 and 163: 8. attēls. III studiju gada studen
Page 164 and 165: MĀKSLAS PEDAGOGU TĒLAINĀ IZPRATN
Page 166 and 167: Pārdzīvojuma pieredzē izpratne i
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Page 170 and 171: Iegūtie punkti Iegūtie dati un da
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SECINĀJUMI Mākslas pedagogu tēla
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DARBA MĒRĶIS Analizēt skolēnu a
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Integrācija ir pakāpe, kādā per
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Jaunieši ar speciālām vajadzīb
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SANDRA SMILGA Biznesa augstskola
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Skolotāja autoritāte var izpausti
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3. Attiecību veidošanas prasmes:
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Mūsdienās vairs nav aktuāli jēd
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Saistībā ar labu attiecību veido
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SANDRA ŠTUCERE Rīgas Tehniskā Un
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gan klasiskie principi (vienmērīg
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kas radies, piemērojot minimālo n
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eģionos (Jūrmala) būtiski paliel
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SECINĀJUMI Darbā izpētīta tikai
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Pamatot biznesa vadības sistēmas
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Lai nedublētu līdz dokumentu vad
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4. tabula. Uzņēmuma bilance (LVL)
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Ar dokumentu skanēšanas palīdzī
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Procenti 2. attēls. Neto, bruto un
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1. pielikums Uzņēmuma saimniecisk
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3. pielikums Uzņēmuma naudas plū
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As to Robert Keith Johnson and Merr
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Italian pedagogue Maria Montessori
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students can also communicate with
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REFERENCES 1. Andersson, Th. (1974)
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The approach of the development of
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Figure 3. Phases of teaching conten
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The Mean results of the descriptive
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for analysis, different results cou
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IEVA ZEMĪTE Biznesa augstskola „
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Kultūras izņēmuma princips ir ra
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augstvērtīgu kultūras produktu u
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VLADIMÍR ZÍTEK, VIKTORIE KLÍMOV
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At the first stage, the attention f
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Ostrava, the weakest is Jihlava - t
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were 5.486 EPO patent applications
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