Mechanism of Digital Business Model Innovation Driven by Big Data in Manufacturing Enterprises

Abstract

Based on a data-driven theoretical approach, this study utilizes Qingdao Internet of Food Co., Ltd. (IoF) as a study case to explore the mechanism of digital business model innovation within manufacturing enterprises. Employing a dynamic logic framework of “data-driven processes-dynamic capability enhancement-digital business model innovation,” this paper elaborates the process of digital business model innovation using the Grounded Theory. The findings indicate that realizing digital business model innovation is contingent upon the effective utilization of organizational data resources. Data-driven processes are crucial driving factors for digital business model innovation, unfolding through three critical stages: demand source identification, scenario chain linkage, and network sharing and interaction. These data-driven approaches significantly influence and enhance organizational dynamic capabilities, supporting the intermediary mechanism of data-driven processes as the antecedents to optimize the components of an enterprise’s digital business model. From a holistic generative perspective, digital business model innovation is realized through a dynamic process encompassing three dimensions: value proposition alignment, scenario experience optimization, and value network expansion. This study aims to offer theoretical insights and practical suggestions for business model innovation in the digital economy era.

Keywords

data-driven / dynamic capability / business model innovation / digital business model / case study

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2024 Higher Education Press