Mathematical modeling of innovation diffusion has attracted strong academic interest since
the early 1960s. Traditional diffusion models have aimed at empirical generalizations and …

Agent‐based models (ABMs) have recently seen much application to the field of climate
mitigation policies. They offer a more realistic description of micro behavior than traditional …

Modelling the economics of climate change is daunting. Many existing methodologies from
social and physical sciences need to be deployed, and new modelling techniques and ideas …

The increasing emphasis on understanding the antecedents and consequences of customer-
to-customer (C2C) interactions is one of the essential developments of customer …

Agent-based modeling (ABM) techniques for studying human-technical systems face two
important challenges. First, agent behavioral rules are often ad hoc, making it difficult to …

Agent-based modeling can illuminate how complex marketing phenomena emerge from
simple decision rules. Marketing phenomena that are too complex for conventional …

In the “Age of the Internet”, fake news and rumor-mongering have emerged as some of the
most critical factors that affect our online social lives. For example, in the workplace, rumor …

This study investigates the critical role that opinion leaders (or influentials) play in the
adoption process of new products. Recent existing reseach evidence indicates a limited …

In this paper, an agent-based model is developed to study the market share evolution of
passenger vehicles in Iceland, a country rich in domestic renewable energy. The model …

The current study examined the role psychological determinants (self-identity, attitudes,
perceived behavioral control, and norms) play in organic consumerism. Participants (N …