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Growing Science » International Journal of Data and Network Science » Examining the factors influencing platform economy development

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 10 Issue 2 pp. 557-566 , 2026

Examining the factors influencing platform economy development Pages 557-566 Right click to download the paper Download PDF

Authors: Sultan Alateeg

doi 10.5267/j.ijdns.2026.2.003
Crossmark

Keywords: Platform economy, Digitalization, Quality, Economy, Digital skills

Abstract: This study examines the factors that influence platform economy development. A quantitative study was employed to assess the relationship between study constructs. Data were collected from 266 platform workers in Saudi Arabia. Structural equation modeling was used to perform statistical analysis to examine the relationships between study constructs. The results reveal that digital infrastructure, economic conditions, regulatory environment, digital skills, and platform service quality have a significant influence on platform economy development. Most importantly, digital skills play a major role to engage more workers on digital platforms to render services and earn more. Nonetheless, digital infrastructure and the regulatory environment also support building the confidence of workers while working on these platforms. Thus, the influencing factors explain 85 percent of the variance in platform development economy, which is above the satisfactory level. This indicates that a better infrastructure and skill set of workers play a major in contributing towards the platform economy. Thus, it is important for regulators to design better policies for platform operators and to open avenues for agencies that could play a major role in digital economic growth.

How to cite this paper

Alateeg, S. (2026). Examining the factors influencing platform economy development.International Journal of Data and Network Science, 10(2), 557-566.

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Journal: International Journal of Data and Network Science | Year: 2026 | Volume: 10 | Issue: 2 | Views: 1036 | Reviews: 0

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