Digital Commercial Economy: An Empirical Study on the Relationship between Model Innovation and Performance of Marine Biological Startups

Zhou Min
Department of Employment and Entrepreneurship, Xiamen Ocean Vocational College, Xiamen Fujian 361000, China.

Abstract:

In the context of the deep integration of the digital commercial economy and marine economy, this study focuses on the trilemma of resource dependence, high technological risk and inharmonious digital technology integration faced by marine biological startups, constructs a three-dimensional dynamic capability framework of "environment-technology-organization", and explores how enterprises can achieve model innovation and performance improvement through resource orchestration, technology integration and risk mitigation. Based on a hybrid research method, this paper first uses fsQCA to conduct path configuration analysis on four typical companies to identify the differentiated adaptation modes of RDM, TDI and RCBR. Secondly, the impact of dynamic capabilities on economic and non-economic performance can be verified by constructing a regression econometric model that includes variables such as the proportion of ICT investment and the number of technology application scenarios. The study found that RDM (regression coefficient 0.45) and technology diversification (regression coefficient 0.38) significantly improve economic performance. Technology diversification (regression coefficient 0.40) and the proportion of ICT capital expenditure (regression coefficient 0.35) contribute more to non-economic performance. This shows that the investment of enterprises in digital transformation, technological innovation and social responsibility can effectively promote the dual goals of economic benefits and social value. This study provides strategic suggestions for marine biological startups on resource integration, technological innovation, and risk control.