MACHINE LEARNING FOR STRATEGIC AND OPERATIONAL DECISION-MAKING: A BIBLIOMETRIC PERSPECTIVE
Besides being a buzzword, machine learning finds new areas of application in organizational decision-making processes by the day. We map the field's intellectual structure, thematic evolution, and application domains through a bibliometric analysis of 1,803 Web of Science and Scopus articles (1990-2024) to elucidate its strategic and operational ro...
By Filip Peovski, Bojan Kitanovikj, Ivona Serafimovska
Assessing the European Central Bank's unconventional measures: A recursive VAR approach
Unconventional monetary measures utilization has proven to be of great importance in maintaining monetary and economic stability after the Great Recession. However, we aim to test this conclusion through the impact of the quantitative easing implemented by the European Central Bank. Observed through generated shocks in the balance sheet of the Euro...
By Filip Peovski, Gjorgji Gockov