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Case Study | Volume: 1, Issue: 1 Published Date: September 18, 2025 Economy of Survival and Renewal Case of UkraineAuthor(s): Olena Lesyk-Laikari* Abstract: Three years of russia's full-scale invasion has faced Ukraine's economy unprecedented shocks, yet it has also demonstrated remarkable resilience. This paper examines how war has simultaneously damaged devastating losses and local management created opportunities for innovation, reform, and structural transformation. Drawing on recent macroeconomic data, institutional assessments, and international aid trends, the paper explores Ukraine's evolving economic security, its vulnerabilities, and strategic directions for post-war recovery and integration into the European economy. |
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Editorial Article | Volume: 1, Issue: 1 Published Date: August 06, 2025 Strategic Investments and Acquisitions to Expand Growth of Telemedicine Business across the GlobeAuthor(s): Dhananjay Punekar* Abstract: Enforcement of strict government norms during the COVID-19 pandemic pertaining to restricted physical contact among people to control the spread of COVID-19 has expanded the scope of telemedicine services globally. |
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Research Article | Volume: 1, Issue: 1 Published Date: December 29, 2023 The Evolution of Financial Decision Support Systems: From BI Dashboards to Predictive AnalyticsAuthor(s): Anirudh Parupalli* Abstract: Decision Support Systems (DSS) are rooted back in the pre-personal computing era, as they developed out of the earlier Decision Management System to become interactive, computer-based tools in semi-structured and unstructured decision-making. The DSS developed over time with four generations: data-centric, interface-focused, model-oriented, and web-based, which denotes the changes in technologies and the extension of its use across various fields of knowledge. Financially, globalization, market volatility and newer technologies have placed an added premium on the importance of intelligent data-driven decisioning. Leading Financially-oriented Decision Support Systems (FDSS) combine predictive analytics and Business Intelligence (BI) dashboards and machine learning to distil operational insights using a wide variety of data. |
Editor in Chief
Dr. Ryosuke Nakajima
Adjunct Professor
Tokyo Business and Language College
Tokyo, Japan