Big Data-Driven Business Model Innovation (BMI) From the Perspective of Ambidexterity

Abstract

This paper explores the dynamic path of business model innovation (BMI) driven by big data and builds a big data-driven BMI model based on ambidexterity perspective. Using the case study approach, this paper examines the ambidexterity theory and employs the structured-pragmatic-situational (SPS) research method to explore the BMI driven by big data. The findings are: 1) Companies could promote business innovation using big data from both exploratory and exploitative activities. 2) It is a dynamic process when the company promotes its BMI based on big data while balancing the ambidexterity activities. The paper illustrates the mechanism of ambidexterity for BMI driven by big data and sums up a theoretical model with general principles.