Pregled bibliografske jedinice broj: 1275523
Clustering of Croatian Software Development Companies Based on Their Financial Indicators
Clustering of Croatian Software Development Companies Based on Their Financial Indicators // Proceedings of MIPRO 2023 / Skala, Karolj (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2023. str. 1682-1687 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1275523 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Clustering of Croatian Software Development
Companies Based on Their Financial Indicators
Autori
Konecki, Irena ; Oreški, Dijana ; Kadoić, Nikola
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2023
/ Skala, Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2023, 1682-1687
Skup
MIPRO 2023, 46 th ICT and Electronics Convention
Mjesto i datum
Opatija, Hrvatska, 22.05.2023. - 26.05.2023
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
financial indicators ; software development sector ; Croatia ; cluster analysis ; COVID-19 crisis
Sažetak
The main objective of this study is to examine the financial performance of companies in the Croatian software development sector and identify which financial indicators could be predictive of future profitability. The research uses the Financial Agency (FINA) data focusing on pre and post-COVID-19. Cluster analysis of companies is performed based on their financial indicators. Four clusters of companies were identified. Findings indicate that there is no statistically significant difference between the clusters in the profitability growth rate after the COVID-19 crisis. However, the observed period might be too short to measure the long-term effects. The financial analysis of companies in the Croatian software development sector gives insight into how the sector operates and thus provides valuable information for policymakers who would like to support its growth and development.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-UIP-2020-02-6312 - SIMON: Inteligentni sustav za automatsku selekciju algoritama strojnog učenja u društvenim znanostima (SIMON) (Oreški, Dijana, HRZZ - 2020-02) ( CroRIS)
Ustanove:
Fakultet organizacije i informatike, Varaždin