Background: Distribution systems often face the dual challenge of delivering products to customers and retrieving damaged items for repair, especially when the service center is separate from the depot. An optimized solution to this logistics problem produces benefits in terms of costs,...

Purpose The purpose of this study is to investigate the impact of behavioral biases on investment decisions through a serial mediation of overconfidence and disposition effects. Design/methodology/approach The authors assess the behavioral biases affecting the investment decisions of life...

This study presents a comprehensive approach to managing pharmaceutical inventory during pandemics. The study focuses on optimizing investment strategies for promoting COVID-19 medicine across various price ranges while carefully preserving pharmaceutical products. We develop a customized...

Metaheuristics are widely used to address complex optimisation problems where traditional exact methods are computationally infeasible or insufficiently flexible. With the rapid advancement of artificial intelligence, large language models, such as ChatGPT, Claude, Gemini, and LLaMA, have...

The Dwarf Mongoose Optimization (DMO) algorithm, inspired by the behaviors and foraging patterns of dwarf mongooses, is a recently formulated swarm-based metaheuristic method emulating the cooperative behavior of mongooses during food searches. The DMO algorithm effectively addresses various...

Verschuere et al. (2023) examine the effect of using the best available cue (use-the-best heuristic) on deception detection accuracy across 9 studies. In Study 8 they find that focusing on judging one single cue (detailedness) compared to multiple cues (four cues including detailedness, affect,...

This is a slightly revised version of the purposely provocative keynote presented at the FDR library for the Levy Institute Summer Seminar on Money, Finance, and Public Policy. References have been added.