A Segmented Machine Learning Approach to Predicting and Mitigating Churn in the Gig Economy.

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Title: A Segmented Machine Learning Approach to Predicting and Mitigating Churn in the Gig Economy.
Authors: Shanmugam, Saranya1, Elavarasan, Einiyaselvi1,2, Madhavarao Seshadri, Narassima2,3, msnarassima@gmail.com, Ashokkumar, Dharun1, Senthilkumar, Santhoshkumar1,2, Mohanavelu, Thenarasu3
Source: Journal of Theoretical & Applied Electronic Commerce Research; Mar2026, Vol. 21 Issue 3, p93, 25p
Database: Applied Science & Technology Source
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/jtaer21030093
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 93
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      – TitleFull: A Segmented Machine Learning Approach to Predicting and Mitigating Churn in the Gig Economy.
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            NameFull: Shanmugam, Saranya
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            NameFull: Elavarasan, Einiyaselvi
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            NameFull: Madhavarao Seshadri, Narassima
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            NameFull: Ashokkumar, Dharun
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            NameFull: Senthilkumar, Santhoshkumar
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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