Predicting mobility using limited data during early stages of a pandemic. | J Bus Res;157: 113413, 2023 Mar. | MEDLINE

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Predicting mobility using limited data during early stages of a pandemic.

Lash, Michael T; Sajeesh, S; Araz, Ozgur M.

Affiliation

Lash MT; School of Business, University of Kansas, Lawrence, KS 66045, United States.
Sajeesh S; College of Business, University of Nebraska - Lincoln, Lincoln, NE 68588, United States.
Araz OM; College of Business, University of Nebraska - Lincoln, Lincoln, NE 68588, United States.

J Bus Res ; 157: 113413, 2023 Mar.

Article in En | MEDLINE | ID: mdl-36628355

Key words

COVID-19; Hill-climbing algorithm; Mobility; Multicollinearity; Retail activity; Risk perception

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Bus Res Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Bus Res Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States