1802 papers
This study compares Kuwait and Kazakhstan to demonstrate that while Kuwait's institutional design offers greater nominal insulation from oil price shocks, Kazakhstan exhibits stronger post-shock fiscal and macroeconomic adjustment capabilities, highlighting that true energy-sector resilience requires both revenue stabilization and adaptive institutional mechanisms.
This mixed-methods study utilizes thematic analysis of expert interviews and surveys to identify thirteen key competitive advantages of mining tourism in Iran, providing a validated framework to guide policymakers and investors toward sustainable development in the sector.
Using Malawi household survey data, this paper demonstrates that while the socioeconomic pattern of inflation inequality remains robust across different periods, the magnitude of gaps and specific demographic conclusions vary significantly depending on whether inflation is aggregated using democratic (household-weighted) or plutocratic (expenditure-weighted) measures, with food and housing costs driving most disparities.
This study analyzes Tunisia's 1990–2023 soft-peg exchange rate regime, revealing that monetary policy transmission is fundamentally regime-dependent and asymmetric, with expansionary shocks exerting a stronger impact on the exchange rate than restrictive ones as the system evolved from liquidity-driven to price-dominated dynamics.
This study proposes an actor-level framework defining commercial optionality as the set of exercisable, value-positive actions available during disruptions, demonstrating through analysis of three global crises that while LNG trade possesses inherent flexibility, its actual resilience depends on the concurrent availability of rights, assets, and decision authority to execute adjustments like non-lifting, portfolio reallocation, or route changes.
This study integrates Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, Trust, Perceived Risk, and Financial Capability theories to demonstrate that a comprehensive framework significantly outperforms isolated models in explaining cashless payment adoption among 618 Indian university students, revealing trust as the primary driver and uncovering critical gender-based differences in adoption mechanisms.
This study employs a bibliometric analysis of Google Scholar articles to map the evolution, key contributors, and methodological trends of stochastic macroeconomic models in economic growth, while identifying research gaps and proposing future directions for the field.
This study demonstrates that while arbitrage-aware neural networks improve in-sample option pricing accuracy, they fail to generalize to data-scarce frontier markets without fine-tuning, where recalibrated parametric models like Heston remain more robust and efficient.
This research proposes a data analytics framework that integrates transaction analysis, service monitoring, and performance reporting to enhance customer service and operational decision-making in banking, demonstrating its effectiveness through a synthetic dataset due to the unavailability of proprietary data.
This empirical study analyzes 15 Indian housing Non-Banking Financial Companies from 2015 to 2024 using the MVAIC model and panel data techniques to demonstrate that while intellectual capital significantly influences financial performance, its specific dimensions (Human, Capital Employed, Relational, and Structural) exert varying effects on short-term asset profitability versus long-term shareholder value.