0000000000461956

AUTHOR

Signe Bāliņa

showing 3 related works from this author

Opportunities for the Use of Business Data Analysis Technologies

2016

Abstract The paper analyses the business data analysis technologies, provides their classification and considers relevant terminology. The feasibility of business data analysis technologies handling big data sources is overviewed. The paper shows the results of examination of the online big data source analytics technologies, data mining and predictive modelling technologies and their trends.

0209 industrial biotechnologyEngineeringHF5001-6182Big dataonline analytical processing02 engineering and technologyAnalytics platformsbusiness intelligenceTerminologyBusiness data020901 industrial engineering & automationBusiness analytics0502 economics and businessanalytics platformsBusinessHB71-74business.industryManagement scienceOnline analytical processing05 social sciencesbusiness analyticsdata miningpredictive modelling.Data scienceEconomics as a scienceAnalyticsBusiness intelligencebusinesspredictive modelling050203 business & managementPredictive modelling
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Impact of Demographic Differences on Color Preferences in the Interface Design of e-Services in Latvia

2018

In our study, we test users’ color preferences of interfaces of typical electronic services’ (e-services) environment. The motivation of our study is to explore discrepancy between (a) the high degree of availability of e-services in Latvia, and (b) low usage of these e-services among population. We aim to find the regularities regarding color preferences that could be useful in the development of e-services and that could support the rise of the usage of e-services in future. Although there are several reasons why people avoid using e-services (some of them socio-cognitive, some – technological), we would like to focus on a particular aspect – the colors of e-services interface. In particu…

E-serviceseducation.field_of_studyFocus (computing)Interface (Java)PopulationColor preferencesResidenceeducationPsychologySocial psychologyPreferenceTest (assessment)
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Research and Development Expenditures and Economic Growth in the EU: A Panel Data Analysis

2016

Abstract The main aim of the paper is to investigate the empirical relationship between research and development (R&D) expenditures and economic growth in the European Union member states in the period of 2000–2013. The empirical analysis is based on panel data regressions. The estimated model is the production function type standard growth model extended with R&D stock variable. The results show a statistically significant impact of R&D expenditures on the economic growth in the EU countries. The significance for R&D coefficient remains robust to different sub-periods, but the level of significance decreases as a sub-sample of new EU countries was considered.

HF5001-6182020209 energyresearch and development expenditures02 engineering and technologyProduction functionEu countries0502 economics and business0202 electrical engineering electronic engineering information engineeringEconometricsEconomicsmedia_common.cataloged_instanceBusiness050207 economicsEuropean unionHB71-74media_commonPublic economicsMember statesStock and flow05 social sciencesGrowth modeleconomic growthEconomics as a sciencepanel data analysisEmpirical relationshipPanel dataEconomics and Business
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