The Role of Business Models in Bridging Technology and Market: Mathematical Modelling and Its Applications

This study aims to examine the role of business models (BM) in the context of digital transformation. The research methodology includes the following steps. First, the study develops a mathematical model to describe the role of BMs in bridging technology and market dynamics, including definitions, theorems, and axioms. Second, based on the mathematical model of BM as a ‘nudge’, three key findings are identified: (a) BM as a nudge significantly reduces market search costs after reaching a certain threshold, referred to as the ‘Chesbrough Point’; (b) BM as a nudge increases market size and diversity at any point following the ‘Chesbrough Point’; (c) Despite having BM as a nudge, technology experiences a long tail before reaching a sufficient market. Third, the study discusses the theoretical implications of BMs and their enhanced function as a nudge, particularly in the context of artificial intelligence and open innovation dynamics.

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Publication Details

Journal
Science Technology and Society
Published
2025-12-02
DOI
https://doi.org/10.1177/09717218251397443
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Business Models in Bridging Technology and Market: Mathematical Modelling and Its Applications

JinHyo Joseph Yun, KyungBae Park, Heungju Ahn, Xiaofei Zhao
Science Technology and Society
Innovation Diffusion and Forecasting
article

The Role of Business Models in Bridging Technology and Market: Mathematical Modelling and Its Applications

JinHyo Joseph Yun, KyungBae Park, Heungju Ahn, Xiaofei Zhao
article en

Abstract

This study aims to examine the role of business models (BM) in the context of digital transformation. The research methodology includes the following steps. First, the study develops a mathematical model to describe the role of BMs in bridging technology and market dynamics, including definitions, theorems, and axioms. Second, based on the mathematical model of BM as a ‘nudge’, three key findings are identified: (a) BM as a nudge significantly reduces market search costs after reaching a certain threshold, referred to as the ‘Chesbrough Point’; (b) BM as a nudge increases market size and diversity at any point following the ‘Chesbrough Point’; (c) Despite having BM as a nudge, technology experiences a long tail before reaching a sufficient market. Third, the study discusses the theoretical implications of BMs and their enhanced function as a nudge, particularly in the context of artificial intelligence and open innovation dynamics.

Science Technology and SocietyVol. 31(1)
Daegu Gyeongbuk Institute of Science and Technology (KR), Sangji University (KR)
Openalex Percentile: Top 57%
Innovation Diffusion and Forecasting
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