<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-4TGBZSZ6/e68b5593-03d8-4603-9240-98c2686407af/PDF"><dcterms:extent>471 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-4TGBZSZ6/7318cd8c-2665-4ff0-9c86-bd49384d0c5d/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-4TGBZSZ6"><dcterms:issued>2025</dcterms:issued><dc:creator>Kundu, Amit</dc:creator><dc:creator>Santra, Sayantani</dc:creator><dc:format xml:lang="sl">letnik:23</dc:format><dc:format xml:lang="sl">številka:3</dc:format><dc:format xml:lang="sl">str. 295–325, 360</dc:format><dc:identifier>DOI:10.26493/1854-6935.23.295-326</dc:identifier><dc:identifier>ISSN:1854-6935</dc:identifier><dc:identifier>COBISSID_HOST:281235715</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-4TGBZSZ6</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">University of Primorska Press</dc:publisher><dc:source xml:lang="sl">Managing global transitions</dc:source><dc:subject xml:lang="sl">bivariantna Probit regresija</dc:subject><dc:subject xml:lang="en">bivariate probit regression</dc:subject><dc:subject xml:lang="en">casual wage labourer</dc:subject><dc:subject xml:lang="en">formal vocational training</dc:subject><dc:subject xml:lang="sl">formalno poklicno usposabljanje</dc:subject><dc:subject xml:lang="en">gig job</dc:subject><dc:subject xml:lang="sl">neplačano gospodinjsko delo</dc:subject><dc:subject xml:lang="en">own-account worker</dc:subject><dc:subject xml:lang="sl">priložnostni nadomestni delavec</dc:subject><dc:subject xml:lang="sl">priložnostno delo</dc:subject><dc:subject xml:lang="sl">samozaposleni delavec</dc:subject><dc:subject xml:lang="en">unpaid household job</dc:subject><dc:title xml:lang="sl">Opportunities for Indian women in gig jobs without using digital platforms| the importance of vocational training|</dc:title><dc:description xml:lang="sl">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</dc:description><dc:description xml:lang="sl">Fleksibilni delovni čas lahko ponudi boljšo možnost za indijske ženske, ki vstopajo na trg dela. To je mogoče doseči z opravljanjem priložnostnih del brez odvisnosti od digitalnih platform, saj ima veliko posameznikov omejen dostop do tehnologije. Priložnostni delavci in samozaposleni so obravnavani kot delavci na podlagi priložnostnih pogodb (gig workers), ki lahko svoje delo opravljajo brez uporabe digitalnih platform. Probit model identificira dejavnike, ki lahko povečajo verjetnost opravljanja takšnih priložnostnih del brez uporabe digitalne platforme za indijske ženske. Z uporabo bivariantnega Probit regresijskega modela, ki temelji na podatkih Periodične ankete o delovni sili za leto 2022–23, in ob upoštevanju endogenosti članek pokaže, da tako formalno kot neformalno poklicno usposabljanje pozitivno vplivata na udeležbo žensk pri opravljanju priložnostnih del brez uporabe digitalnih platform. Vendar pa je vpliv neformalnega usposabljanja izrazitejši</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:doc-4TGBZSZ6"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-4TGBZSZ6" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-4TGBZSZ6/e68b5593-03d8-4603-9240-98c2686407af/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by-sa/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza na Primorskem, Fakulteta za management</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-4TGBZSZ6/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-4TGBZSZ6" /></ore:Aggregation></rdf:RDF>