Research on the ascending path of traditional media’s intelligent transformation based on multivariate statistical analysis

Abstract

Abstract Under the background of the new technological revolution and the rise of new media, traditional media try to innovate the media form, update the internal resource structure, enhance the ability of environmental adaptation, and then reshape their competitive advantages through intelligent transformation. In this paper, we comprehensively use factor analysis, cluster analysis, case study, and other methods in multivariate statistical analysis to conduct systematic research according to the ascending path of “the reasons for the continuous decline in the competitive advantage of traditional media → intelligent transformation strategy of traditional media → intelligent transformation to reshape the competitive advantage of traditional media”. Using factor analysis, we aim to obtain the minimum variance estimation of all residuals to construct a model that empirically analyzes the mechanism of intelligent transformation to reshape the competitive advantage of traditional media. The results of the study show that there is a complex group relationship between intelligence maturity, resource base, dynamic capability, resource orchestration capability, and the competitive performance of traditional media, and the consistency and overall consistency of the four conditional groupings are greater than the critical value of 0.80, and explain 58.7% of the cases. It indicates that intelligence maturity, resource base, dynamic capability, and resource orchestration capability constitute the competitive advantages of traditional media’s intelligent transformation and drive traditional media’s business development.