Spatial and Socioeconomic Analysis of Purposeful Mobile Internet Use in US States

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dc.contributor.authorSarkar, Avijit
dc.contributor.authorPick, James
dc.contributor.authorBhat, Geeta
dc.date.accessioned2022-12-27T19:17:09Z
dc.date.available2022-12-27T19:17:09Z
dc.date.issued2023-01-03
dc.description.abstractThe 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.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.624
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.othera1956574-8750-4a88-bf75-d92913c757a2
dc.identifier.urihttps://hdl.handle.net/10125/103258
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Analytics in Systems Sciences Research and Education
dc.subjectclustering
dc.subjectdigital divide
dc.subjectmobile internet
dc.subjectregression
dc.subjectspatial autocorrelation
dc.titleSpatial and Socioeconomic Analysis of Purposeful Mobile Internet Use in US States
dc.type.dcmitext
prism.startingpage5102

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