Agent-Based Product-Social-Impact-Modeling: A Systematic Literature Review and Modeling Process

Abstract

A key part of an engineer's purpose is to create products and services that benefit society, or, in other words, to create products with a positive social impact. While engineers have many predictive models to aid in making design decisions about the functional performance or safety of a product, very few models exist for estimating or planning for the wide range of social impacts an engineered product can have. To model social impact, a model must contain representations of both the product and society. Agent-based modeling is a tool that can model society and incorporate social impact factors. In this paper, we investigate factors that have historically limited the usefulness of product adoption agent-based models and predictive social impact models through a systematic literature review. Common themes of limiting factors are identified, steps are presented to improve the usefulness of agent-based product adoption models and predictive social impact models, and a general process for the creation of agent-based social impact models is presented. Improving the usefulness of these predictive models can aid engineers in making better design decisions. Predictive social impact models can help identify areas in the design space to improve the social impact of products. When coupled with existing design methods, agent-based predictive social impact models can help increase the probability that a product achieves positive social impact.