This paper develops an axiomatic framework for decision making when preferences depend not only on the current alternative but also on the past frequency with which alternatives have been chosen. We identify key independence axioms that characterize frequency-dependent preferences. In addition,...

Advice plays a central role in health, personal finance, and energy-efficiency decisions. We study how a benevolent expert should design verifiable advice - such as whether to commission a diagnostic test of different accuracy - when the agent is behaviorally biased, either neglecting...

A growing interest in digitalisation provides continuous support for corporate governance in addressing strategic decision-making under uncertain environments. Although an increasing number of studies provide valuable insights and practical implications, limited research examines specific CEO...

We investigate and axiomatize preferences that display indifference between deterministic states, but exhibit strict orderings over lotteries over these states. Such preferences might be due to the ability to adopt to states, or a (dis)taste for uncertainty. We derive a representation theorem...

This paper introduces a novel Payoff-Trolley dilemma task, where other participants' payoffs were at stake on the main or sidetrack in a trolley dilemma. Different scenarios varied the number of "others' payoffs" on the sidetrack and main track in ways that helped identify more clearly immoral...

Background: Despite advances in monitoring and forecasting systems, natural disasters continue to cause significant human losses. During the response phase, fast decisions are required to allocate limited resources, particularly rescue helicopters, which play a key role in reaching inaccessible...

There are repeatedly raised concerns that marketing and consumer research often neglects to implement realistic studies that foster generalizability to real-world contexts, thereby limiting their findings’ practical relevance. Representative of this issue, confidence in context effects’...

Expectations are central to models of economic and financial decision-making. Yet in practice, individuals are often inattentive and, when asked, report fragile, context-dependent expectations that are only weakly linked to decisions. This raises the question to what extent they hold such...

Expectations are central to models of economic and financial decision-making. Yet in practice, individuals are often inattentive and, when asked, report fragile, context-dependent expectations that are only weakly linked to decisions. This raises the question to what extent they hold such...

Expectations are central to models of economic and financial decision-making. Yet in practice, individuals are often inattentive and, when asked, report fragile, context-dependent expectations that are only weakly linked to decisions. This raises the question to what extent they hold such...

Expectations are central to models of economic and financial decision-making. Yet in practice, individuals are often inattentive and, when asked, report fragile, context-dependent expectations that are only weakly linked to decisions. This raises the question to what extent they hold such...

The increasing complexity and commercialization of the global space sector have elevated the strategic role of public-private partnerships (PPPs). However, the criteria for selecting suitable PPP models remain underexplored, particularly regarding the influence of national policy and market...

Information unraveling is an elegant theoretical argument suggesting that private information is voluntarily and fully revealed in many circumstances. However, the experimental literature has documented many cases of incomplete unraveling and has suggested limited depth of reasoning on the part...

Multi-objective optimization problems (MOPs) are common in real-world applications, including scheduling, vehicle routing, and engineering design. A key challenge in solving MOPs is balancing convergence and diversity, as these problems often involve conflicting objectives and complex...

Named Entity Recognition (NER) models have been used in various contexts to automate the analysis of textual data, supporting tasks such as text categorization and relationship extraction across entities. While these models are typically trained on large corpora, their efficacy should be...

This study examines how blockchain technology (BT) enhances sustainability and resilience in construction supply chains (CSCs). Recognizing the sector's vulnerability to disruptions and inefficiencies, the research aims to identify key blockchain facilitators (BTFs) that enhance environmental,...

Multi-Criteria Decision-Making (MCDM) methods, particularly TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) (Multicriteria Optimization and Compromise Solution), are extensively used in logistics for...

Civil Helicopter Emergency Medical Services (CHEMS) are vital for improving emergency healthcare access, particularly in remote or congested areas. While widely implemented in high-income countries, CHEMS remain underutilized in low- and middle-income countries (LMICs) due to financial,...

Seaweed is a globally significant aquaculture commodity with increasing economic and environmental importance. However, inconsistent quality standards and subjective procurement practices continue to hinder efficiency in its value chain, particularly for dried Eucheuma seaweed. This study...

Many countries are prioritizing renewable energy sources in response to fossil fuel depletion, environmental concerns, and the need for energy resilience. This study evaluates five renewable energy alternatives: Biomass, Wind, Solar, Geothermal, and Hydro, with the aim of reducing foreign energy...