Modeling Disruption in Innovation Product Diffusion: A Field Theory Approach

Abstract

This paper introduces a novel approach to modeling disruption in the diffusion of innovative products, leveraging insights from field theory. Innovation product diffusion, the process by which new products spread through markets and societies, is often subject to disruptions caused by various factors such as technological advancements, market dynamics, and consumer behaviors. Drawing upon field theory, which emphasizes the interplay between actors, structures, and forces within a given field, this study proposes a theoretical framework for understanding and predicting disruptions in innovation product diffusion. The model integrates elements of network theory, complexity theory, and innovation diffusion theory to capture the dynamic interactions between innovators, adopters, competitors, and external influences within the innovation ecosystem. Through computational simulations and empirical case studies, we demonstrate how the proposed model can elucidate the mechanisms underlying disruption events, identify early warning signals, and inform strategies for mitigating their impact. Additionally, we explore the implications of disruption for market dynamics, competitive landscapes, and industry evolution. By synthesizing theoretical insights with empirical evidence, this research contributes to advancing our understanding of innovation diffusion processes and provides practical guidance for businesses, policymakers, and researchers seeking to navigate disruptions and harness opportunities for innovation and growth.