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Understanding consumers’ preferences has always been important for economic theory and for business practitioners in operations management, supply chain management, marketing, etc. While preferences are often conside...

Agricultural production necessitates sustainable practices to ensure long-term and sustained food security. Water is a key ingredient for food production. Ensuring sustainable water management in agriculture is thus esse...

Routing vehicles is a generic decision-making problem of strategic management in any business serving customers in distributed locations with a limited fleet including municipal solid waste collection. This paper introdu...

Suburban areas have significant potential for densification to address housing shortages, yet municipal planning departments often exhibit inertia in fully exploiting this potential. Consequently, private developers have...

Abstract Planning and decision-making technology at intersections is a comprehensive research problem in intelligent transportation systems due to the uncertainties caused by a variety of traffic participants. As wireles...

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...

The literature frequently analyses the impact or implications of artificial intelligence on management and implicitly on the decision-making process in organizations. Both the changes generated by this modern technolog...

In the context of global changes and the complexity of socio-economic systems, making management decisions is becoming an increasingly challenging process. Digital transformation, which has become a key goal for the deve...

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...

Communities are central to social-ecological systems where environmental dynamics, development pressures, and human well-being intersect. Yet, infrastructure planning often overlooks this complexity, leading to unintende...

Ranching is a challenging and sometimes risky business, with cattle production (and associated enterprise income) largely being dependent on seasonal weather patterns and corresponding forage production. To help reduce t...

The article explores the strategic role of accounting and financial support within modern enterprise decision-making systems. It examines how accounting has evolved from a transactional function into a core analytical an...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

Modern agricultural systems face increasing uncertainties, rare risks, and complex dynamics that make traditional decision-making ineffective. This research presents an innovative digital twin–based framework for proac...

This study presents a decision-making framework using the fuzzy AHP-TOPSIS model to evaluate innovative agroecological and sustainable intensification approaches for strategic Food Security and Nutrition (FSN) management...

Mining development is of prime importance for economic growth, industrialization, and resilience, particularly for countries rich in minerals, such as Iran. Using an excellent multicriteria decision-making (MCDM) method,...

AbstractPublic health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials with limited public health training. Artificial intelligence ...

This Campbell systematic review assesses the effectiveness of school‐based decision‐making. The review summarises findings from 17 impact studies and nine studies of barriers and enablers. School‐based decision‐m...

In the context of the digital transformation of science and education, the widespread adoption of generative artificial intelligence models functions both as a useful software solution that optimizes routine processes an...

Characterizing the motivating components of individual or group narratives can help understand how different stakeholders and communities engage with each other, and how information, values, and beliefs are used to arriv...

This meta-analysis aims to (a) systematically estimate the generalized magnitude and directional logic of eight individual and contextual predictors of career indecision, and (b) assess the extent to which these relation...

Background: Data-driven decision-making (D3M) has become essential for enhancing efficiency, accountability and student success in higher education institutions (HEIs). Yet, South African universities continue to face c...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...

Healthcare systems operating under emergency and high-demand conditions face persistent challenges in coordinating medical personnel, managing critical documentation, and ensuring data security and regulatory compliance....