Spatial and Socioeconomic Analysis of Purposeful Mobile Internet Use in US States
56th Annual Hawaii International Conference on System Sciences, HICSS 2023
; 2023-January:5102-5111, 2023.
Article
in English
| Scopus | ID: covidwho-2303129
ABSTRACT
The digital divide in the United States has received renewed attention during the COVID-19 pandemic. As achievement of digital equity remains a high priority, this study examines spatial patterns and socioeconomic determinants of the purposeful use of mobile internet for personal and business needs in US states. Agglomerations of mobile internet use are identified using K-means clustering and the extent of agglomeration is measured using spatial autocorrelation analysis. Regression analysis reveals that mobile internet use is associated with employment in management, business, science, and arts occupations, affordability, age structure, and the extent of freedom in US states. Spatial randomness of regression residuals shows the effectiveness of the conceptual model to account for spatial bias. Implications of these findings are discussed. © 2023 IEEE Computer Society. All rights reserved.
Clustering; Digital divide; Mobile internet; Regression; Spatial Autocorrelation; Agglomeration; Autocorrelation; Economics; Regression analysis; Spatial variables measurement; Clusterings; Internet use; Socio-economics; Socioeconomic analysis; Spatial analysis; Spatial autocorrelations; Spatial patterns; K-means clustering
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
56th Annual Hawaii International Conference on System Sciences, HICSS 2023
Year:
2023
Document Type:
Article
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