Climate change stands as one of the most formidable challenges in the twenty-first century. Despite this, our understanding of the unfolding and interconnection of climate-related physical and transitional risks, and their implications for socioeconomic dynamics along various transition...

Background: Agriculture plays a key role in Colombia's economy. However, the sector faces persistent logistics, infrastructure, and supply chain integration challenges that hinder its development. While background studies have primarily addressed socio-economic needs and strategies to overcome...

This paper investigates how social network and conformity dynamics shape the stability of inflation expectations and the dissemination of economic narratives. Using an agent-based macroeconomic simulation, I integrate a heuristic switching framework with an opinion dynamics mechanism to examine...

In this paper, we investigate the classical Axelrod model of cultural dissemination under an adaptive network framework. Unlike the original model, we place agents on a complex network, where they cut connections with any agent that does not share at least one cultural trait. This rewiring...

This study conducts a comprehensive bibliometric analysis of the use of agent-based modeling (ABM) in finance and banking, aiming to uncover how this methodology has evolved over the past two decades. It addresses the following overarching question: How has ABM contributed to the development of...

Integrating Environmental, Social, and Governance (ESG) metrics into supply chain finance is critical for promoting sustainable development. However, the dynamic mechanisms through which real-time ESG performance influences credit allocation and, consequently, shapes credit risk and...

Background: This study investigates how varying levels of digital interoperability affect coordination and performance in Indonesia's decentralized air cargo system, reflecting the inefficiencies typical of fragmented digital infrastructures in developing economies. Methods: An Agent-Based Model...

Models involving human decision-makers often include idealized assumptions, such as rationality, perfect foresight, and access to relevant information. These assumptions usually assure the models' internal validity but, at the same time, might limit the models' power to explain empirical...

Welche neuen und bislang wenig beachteten Themen werden die Unternehmenskommunikation in Zukunft prägen? Der Communication Management Radar 2026 identifiziert interdisziplinäre Phänomene in Management, Technologie, Psychologie und Medien, die sich gerade konkretisieren und in naher Zukunft zu...

Credit card fraud detection remains a critical challenge for financial institutions, particularly due to extreme class imbalance and the continuously evolving nature of fraudulent behavior. This study investigates two complementary approaches: anomaly detection based on multivariate normal...

We study a model of auction design where a seller is selling a set of objects to a set of agents who can be assigned no more than one object. Each agent's preference over (object, payment) pair need not be quasilinear. If the domain contains all classical preferences, we show that there is a...

This paper considers how a system designer can program a team of autonomous agents to coordinate with one another such that each agent selects (or covers) an individual resource with the goal that all agents collectively cover the maximum number of resources. Specifically, we study how agents...

Land use transition toward multifunctional practices is greatly affected by social learning, yet the temporal interaction between learning mechanisms and network structure remains underexplored. This study examines two social learning channels, information exchange and normative pressure, and...

This article examines the EU-law challenges arising from the use of artificial intelligence for payment initiation and execution (“Payment Agents”) under European Union law. It focuses on Payment Agents that support purchasing workflows and are capable of initiating payments in both...

Negative word of mouth (NWoM) can be a major factor in new product diffusion, as indicated by Goldenberg et al. (2007). We extend their work by accounting for the role of consumer uncertainty for NWoM's impact on adoption dynamics. Using an agent-based simulation framework we compare three...

This paper examines how income inequality affects environmental outcomes through the interplay of household consumption and political support for climate policy. We develop an agent-based model in which households differ by income, consumption patterns, and climate policy attitudes. Our results...

The transition to neighborhood-scale district heating in the Netherlands frequently stalls due to the challenge of achieving a collective agreement among individual homeowners. To explore the micro-dynamics of this collective action problem, this paper introduces an agent-based model that...

By extending the framework presented by Dosi et al. (2023b), we build an evolutionary agent-based model of the pharmaceutical sector featuring a government and a Public Research Lab investing in R&D and innovating across different therapeutic areas. After having empirically validated our...

Does artificial intelligence (AI) pose a threat to financial stability? We study AI investor behavior, specifically Q-learning and large language model (LLM) investors, in a mutual fund redemption problem with economic and strategic uncertainty. Different AI architectures generate systematically...

Although climate-induced liquidity risks can cause significant disruptions and instabilities in the financial sector, they are frequently overlooked in current debates and policy discussions. This paper proposes a macro-financial agent-based integrated assessment model to investigate the...

A key problem of construction firms’ management and economy is organization of effective participation in public tenders. The direct executor, who determines the price of the contract, may be interested in obtaining as many contracts as possible. It means that his strategic behavior in tender...

This paper studies the effects of introducing a Central Bank Digital Currency (CBDC) on economic output, bank intermediation and financial stability in a closed economy using an Agentbased Stock Flow Consistent (AB-SFC) Model. Thereby a digital bank run is simulated across various economic...

Different types of mathematical models can be used to forecast the development of diseases as well as associated costs and analyse the cost-effectiveness of interventions. The set of models available to assess these parameters, reach from simple independent equations to highly complex...

The paper examines the macroeconomic effects of fiscal policy under varying economic conditions. The analysis is conducted using a closed-economy agent-based model, where macroeconomic outcomes of fiscal intervention emerge from the bottom up as the result of interactions between heterogeneous...

Climate change and economic inequality are two critical and interlinked global challenges. The feasibility of jointly reducing greenhouse gas emissions and inequality has often been questioned. Here, we aim to test whether a properly designed mix of progressive and environmental fiscal policies...

This paper investigates the relationship among transaction taxes, high-frequency trading (HFT), and market quality. We use the agent-based modeling (ABM) approach to dynamically assess the impact of transaction taxes on market quality with and without high-frequency trading. Preliminary tests...

We develop a macroeconomic agent-based model to study the role of demand and supply factors in determining inflation dynamics. Local interactions of heterogeneous firms and households in the labor and goods markets characterize the model. Asymmetric information implies that firm selection is...

In response to the challenges posed by an increasingly decentralized energy system characterized by a high penetration of renewable energy sources, grid operators are experiencing heightened pressure to effectively manage grid congestion. Concurrently, both the European Union as well as the...