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Operational failures in military and emergency contexts are routinely attributed to technical malfunction, inadequate training, or weak leadership. What such accounts tend to miss are the subtler psychological and organi...

Organizations increasingly face uncertainty in workforce planning, driven by shifting skill demands, rising turnover risks, and pressure to optimize labor investments. Traditional human capital decision models struggle t...

This article examines how generative AI (GenAI) is reshaping strategic crisis decision-making through the emergence of ‘synthetic foresight’ – the algorithmic simulation of adversary intentions, escalation pathways...

Reliable prognostics in predictive maintenance requires not only accurate remaining useful life (RUL) estimation but also robustness under distribution shift and support for decision-making under uncertainty. However, mo...

In this article, we examine the financial and economic rationale for investment decisions in land assets under the intensified uncertainty caused by wartime conditions. We argue that standard valuation approaches become ...

Abstract The growing interest in the electric vehicles (EVs) has highlighted the significance of choosing appropriate battery technologies according to various competing and unpredictable norms. In the development of EV ...

Abstract. The evaluation of forecast accuracy is one of the key instruments for assessing the reliability and practical value of analytical models applied by various institutions in the field of macroeconomic forecasting...

Abstract In the era of intelligent systems and data-driven technologies, making precise and reliable decisions under uncertainty has become increasingly vital. The primary aim of this study is to tackle decision making (...

Today, climate change has become a global crisis threatening not only the environment but also economic, social, and political systems worldwide. This situation necessitates the systematic analysis of both the drivers co...

IntroductionThis study investigates the cognitive judgment justification mechanism underlying consumer purchase intention formation in AI-based information environments, particularly within the experience-good context of...

Background: Policies, strategies and plans of most South African municipalities are not aligned with the realities and interests of communities and do not consider the disadvantaged backgrounds of communities, with plan...

This study develops an innovative framework for the multi-objective optimization of multi-channel supply chains under uncertainty. The framework integrates the D-number model, an extension of Dempster–Shafer Theory (DS...

Background. Respiratory infections remain a major global health burden with significant economic impact. The di-versity of viral pathogens and variability in diagnostic approaches complicate etiological verification in l...

We examine the role of emotional intelligence (EI) and self-awareness as critical drivers of effective leadership in healthcare institutions. Our focus is on the specific nature of healthcare management environments, whe...

This paper presents an efficient method for solving fully fuzzy linear fractional programming (FFLFP) problems using pentagonal fuzzy numbers (PFNs) and the decomposition method. In real-world decision-making, uncertaint...

Order acceptance under uncertainty is a critical decision-making problem at the interface between customer relationship management and production planning of order-driven manufacturing systems. In this work, a novel appr...

This work proposes to improve the tactical decision-making of a supply chain (SC) under an uncertain competition scenario through the use of different optimization criteria, which allows to manage not only the specific o...

BackgroundCurrent genetic risk stratification systems for acute myeloid leukemia (AML), including the 2017 European Leukemia Network (ELN), 2022 ELN, and 2023 China (CN) stratifications, inconsistently categorize key gen...

Abstract Global malaria control is entering a period of profound uncertainty, with earlier gains now stalling or reversing amid a rapidly deepening shortfall in programme and research funding. At the same time, parasite ...

Abstract Family planning programs in Bangladesh have been successfully operating for over half a century, achieving phenomenal reductions in fertility rates. Acknowledging restrictions on women’s freedoms, much of the ...

Water information systems (ISs) are essential for sustainable water management but are often constrained by fragmented, heterogeneous, and rapidly evolving data. Advances in generative artificial intelligence (GenAI), pa...