Priložnosti za indijske ženske pri priložnostnih delih brez uporabe digitalnih platform

Flexible working hours can provide a better option for Indian women entering the workforce. This can be accomplished by engaging in gig jobs without depending on a digital platform, as many individuals have limited access to technology. Casual labourers and self-employed workers are considered gig workers who can perform their jobs without utilising digital platforms. The Probit model identifies the factors that can enhance the likelihood of such gig jobs occurring without the use of a digital platform for Indian women. By employing a Bivariate Probit regression model based on Periodic Labour Force Survey data for 2022–23 and addressing endogeneity, the paper demonstrates that both formal and informal vocational training positively influence women’s participation in gig jobs without relying on any digital platform. However, the impact of informal training is more pronounced.

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Publication Details

Journal
Repository of the University of Primorsk (University of Primorska)
Published
2025-09-30
Primary Topic
Digital Economy and Work Transformation
Type
article
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article

Priložnosti za indijske ženske pri priložnostnih delih brez uporabe digitalnih platform

S Santra, Amit Kundu
Repository of the University of Primorsk (University of Primorska)
Digital Economy and Work Transformation
article

Priložnosti za indijske ženske pri priložnostnih delih brez uporabe digitalnih platform

S Santra, Amit Kundu
article en

Abstract

Flexible working hours can provide a better option for Indian women entering the workforce. This can be accomplished by engaging in gig jobs without depending on a digital platform, as many individuals have limited access to technology. Casual labourers and self-employed workers are considered gig workers who can perform their jobs without utilising digital platforms. The Probit model identifies the factors that can enhance the likelihood of such gig jobs occurring without the use of a digital platform for Indian women. By employing a Bivariate Probit regression model based on Periodic Labour Force Survey data for 2022–23 and addressing endogeneity, the paper demonstrates that both formal and informal vocational training positively influence women’s participation in gig jobs without relying on any digital platform. However, the impact of informal training is more pronounced.

Repository of the University of Primorsk (University of Primorska)
Gender equality
Openalex Percentile: Top 13%
Digital Economy and Work Transformation
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Priložnosti za indijske ženske pri priložnostnih delih brez uporabe digitalnih platform — S Santra, Amit Kundu · Repository of the University of Primorsk (University of Primorska) (2025) | TGRS Research Map | TGRS