Developing a tailored strategy for mobile applications' adoption across diffusion levels: A panel data analysis

This paper proposes that there should be contextual strategy development of applications' diffusion based on the stage of mobile applications (apps) adoption already reached in a country. This is because as apps diffusion grows, the demand and supply constraints challenging the adoption of apps will change accordingly. A total of 77 countries are categorized into three clusters, Initial, Fast-Adoption, and Maturity, grouped by their adoption rates and the speeds over four-years from 2014 to 2017. With pooled and fixed-effect panel data models, this paper examines which variables out of 22 independent variables are effective in enhancing apps adoption globally. Further, by interacting two dummy clusters, Initial and Maturity with determinant variables, the study identifies the differential policy effectiveness of each determinant factor on apps adoption. The paper concludes that the three stages of apps diffusion levels have their respective effective strategy choice sets: 11 for Initial stage, 12 for Fast-adoption stage, and 13 for Maturity stage, suggesting that countries should develop their mobile apps inclusiveness strategy tailored to their context of apps adoption.

Automated summary

This paper suggests that contextual strategy development for application diffusion should be based on the stage of mobile applications adoption already reached in a country. A total of 77 countries were categorized into Initial, Fast-Adoption, and Maturity clusters based on adoption rates and speeds over four years. Through panel data models, the study examines effective variables in enhancing global apps adoption and the differential policy effectiveness of determinant factors on adoption in different clusters. The conclusion indicates that countries should tailor their mobile apps inclusiveness strategy to their context of apps adoption, with each stage having its own effective strategy choice sets.