Big Data-Driven Innovation: An Empirical Research on Sustainable Development of Business Model

Abstract

With the emergence of new information technologies and application models, the global data volume has exploded and humanity has entered the “big data” era. The hidden business value behind the huge data is bound to bring more innovation opportunities to firms. How to fully tap the commercial value of big data so as to shape the core competitiveness has become a key issue that firms urgently need to address. In view of this, this paper draws on existing researches at home and abroad, combining resource-based theory, dynamic capability theory, together with manager cognitive theory, to discuss: How does big data drive business model innovation? By the research object of 180 businesses, this study obtained relevant data through questionnaire survey; SEM method is adopted to empirically test the theoretical model and related hypotheses; conclusions are drawn: resource integration ability bears a significant positive impact upon business model Innovation; Real-time insight and forecasting capabilities exert a significant positive impact on business model innovation; In-depth analysis capabilities cast a significant positive impact upon business model innovation. This paper reveals the relationship between the impact of big data capabilities on business model innovation and its internal mechanism through empirical research. It opens the “black box” of the relationship between big data and business model innovation; it renders a new perspective for the research of big data and business model innovation. Based on the research results, this study puts forward some suggestions providing certain reference for the practice of businesses.