Amer Morshed

This study examines the impact of operating capital management (WCM) strategies on the monetary execution of small and medium-sized enterprises (SMEs) in Poland, with a particular focus on finding the correct equalization between liquidity and benefit. The review utilizes relapse investigation to survey the effect of forceful and conservative (WCM) techniques on the benefit and fluidity of 4,891 Polish SMEs from 2012 to 2021, as measured by an informational index of budgetary and operational information. The results demonstrate a noteworthy connection between WCM improvements and budgetary results. However, aggressive actions do not just mean higher earnings; they also involve heavier financial risks. On the other hand, cautious methods are linked with stronger financial stability but may lead to lower profit. According to the survey, when cash conversion cycle (CCC) days fall by 1%, return on total assets (ROA) can increase by approximately 1:0 percentage points. This demonstrates again that WCM is very important in improving company profits. These findings have implications for academics, practitioners, and government officials.

Acceptance and implementation of international financial reporting standards ensure a wider scope for financial transparency, accountability, and comparability on a global scale. Against this backdrop, this study looks at the implications of these standards on Hungary’s financial transparency by evaluating panel data from 716 private companies over the period 2013–2023. The Hausman test results suggest that Fixed and Random Effects models should be used.
The analysis indicates that, on average, the sampled companies have improved financial transparency by 75%. Key determinants include standard adoption (0.025 coefficient, t = 8.333, p < 0.001), cost of implementation (2.400 coefficient, t = 24.000, p < 0.001), investor confidence (0.035 coefficient, t = 11.667, p < 0.001), and legislative changes (2.450 coefficient, t = 24.500, p < 0.001). Moreover, it is possible to obtain significant positive effects on the centered variables for implementation costs (coefficient = 2.498, p < 0.001) and government efficiency (coefficient = 0.036, p < 0.001).
These results demonstrate a positive effect, which is significantly created by adopting these standards on financial transparency. They underline increased investor confidence and government efficiency as drivers of these improvements. Applying these standards in Hungary’s financial reporting system is classified as a strategic tool to foster economic stability and attract foreign investment, which ensures Hungary’s good standing in the global economy.

Amid rapid technological advancements, the telecommunications sector in the United Arab Emirates increasingly adopts big data analytics to optimize customer relationship management. This study investigates the effects of big data on customer satisfaction, decision-making, operational efficiency, and ethical practices. Data from 296 stakeholders, including employees, management, and customers, were analyzed using structural equation modeling with the Analysis of Moment Structures.
The results demonstrate a strong positive correlation between big data integration and improved decision-making in customer relationship management (r = 0.75, p < 0.001), which significantly enhances customer satisfaction (r = 0.80, p < 0.001). Additionally, big data integration directly influences customer satisfaction (r = 0.42, p < 0.001), further validating its critical role. However, ethical data usage presents challenges, showing a negative correlation with customer satisfaction (r = –0.15, p < 0.05) and decision-making (r = –0.50, p < 0.001). Descriptive statistics indicate strong approval for big data integration (mean = 3.6) and decision-making (mean = 3.93), while ethical practices score lower (mean = 3.38), and the complexity of big data analytics remains high (mean = 4.43), revealing significant implementation barriers.