1. Business analytics and digitalization as drivers of startup evaluation : the experience of the Baltic statesValeriia Shcherbak, Oleksandr Dorokhov, Kadri Ukrainski, Deniss Djakons, Olha Kovalyova, Liudmyla Dorokhova, 2025, izvirni znanstveni članek Opis: Purpose: This study is motivated by the importance of startups in economic growth and the need for methods to evaluate their success, considering risk and uncertainty. The objective is to analyze factors that influence startups, using factor and cluster analysis. The hypothesis that advanced business analytics in startup evaluation can enhance the quality of investment decision-making was tested. Methods: The combination of quantitative and qualitative techniques was used. Statistics about 20 startups from Latvia, Lithuania, and Estonia over five years were processed to identify success drivers and to group startups by similarity. Machine learning and social media sentiment analysis were applied to assess non-financial indicators. Results: The results showed that indicators such as projected profitability, social media activity, and innovativeness are significant for startup ranking. The share of traditional methods in the Baltic states was 55%, while modern tools were 45%, highlighting the role of digitalization in risk assessment. Startups with high clustering coefficients and positive mention sentiment demonstrated superior performance. Conclusions: The study demonstrated that integrating business analytics and digitalization enhances startup evaluation. The model combines financial metrics with network and sentiment analysis, offering a comprehensive framework for investors. It confirms that data-driven methods improve decision-making, reducing investment risks.
Ključne besede: startup evaluation, business analytics, digitalization, economic potential, Baltic states, social engagement
Objavljeno v DKUM: 14.11.2025; Ogledov: 0; Prenosov: 4
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2. Simplified method for analyzing the availability of rooftop photovoltaic potentialPrimož Mavsar, Klemen Sredenšek, Bojan Štumberger, Miralem Hadžiselimović, Sebastijan Seme, 2019, izvirni znanstveni članek Opis: This paper presents a new simplified method for analyzing the availability of photovoltaic potential on roofs. Photovoltaic systems on roofs are widespread as they represent a sustainable and safe investment and, therefore, a means of energy self-suffciency. With the growth of photovoltaic systems, it is also crucial to correctly evaluate their global effciency. Thus, this paper presents a comparison between known methods for estimating the photovoltaic potential (as physical, geographic and technical contributions) on a roof and proposes a new simplified method, that takes into account the economic potential of a building that already has installed a photovoltaic system. The measured values of generated electricity of the photovoltaic system were compared with calculated photovoltaic potential. In general, the annual physical, geographic, technical and economic potentials were 1273.7, 1253.8, 14.2 MWh, and 279.1 Wh, respectively. The analysis of all four potentials is essential for further understanding of the sustainable and safe investment in photovoltaic systems.
Ključne besede: photovoltaic system, rooftop photovoltaic potential, economic potential, light detection and ranging, LiDAR
Objavljeno v DKUM: 05.12.2023; Ogledov: 386; Prenosov: 32
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3. Physical, geographical, technical and economic potential for optimal configuration of photovoltaic systems using a digital surface modelPrimož Mavsar, Klemen Sredenšek, Sebastijan Seme, 2022, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: photovoltaic system, photovoltaic potential, economic potential, LiDAR, optimisation, optimal configuration
Objavljeno v DKUM: 27.10.2023; Ogledov: 384; Prenosov: 11
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