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Crowdsourcing as a social phenomenon in Kazakhstan

Opportunities and risks for professional careers

Bibliographic Data

ID21780602
AuthorsMukhtar Tolegen (0000-0003-2673-622X), Irina Rovnyakova (0009-0008-5034-2611), Natalia Radchenko (0000-0003-1407-3684), Svetlana Sakhariyeva (0000-0003-2776-8645)
Year2024
Volume208
Issue3-4
Pages55-69
Publication date2024-04-28
Open AccessYes
TypeARTICLE
VenueEconomic Annals-ХХI (JOURNAL)
Journal identifiersISSN: 1728-6220 • E-ISSN: 1728-6239
PublisherInstitute of Society Transformation sp. z o.o. (PUBLISHER)
DOI10.21003/ea.v208-07
OpenAlexW4408777623
LanguageEN

The study examines crowdsourcing development in Kazakhstan during 2015-2023, focusing on its impact on professional careers and labor market transformation across 12 major cities. The research provides comprehensive analysis of digital platforms’ integration into the professional environment and workforce adaptation to new forms of employment, with particular attention to regional disparities and socioeconomic implications. The research employs a robust mixed-method approach combining extensive web scraping of 15 major crowdsourcing platforms, large-scale quantitative surveys encompassing 2,500 crowdworkers and 500 employers, 100 in-depth interviews with key stakeholders, 20 focus groups, and detailed netnographic analysis of 5,000 online interactions. Data analysis utilized SPSS 27.0 for statistical processing, achieving a high reliability coefficient of α = 0.88, with additional qualitative analysis through NVivo 12 for thematic coding. The empirical analysis revealed significant platform adoption growth from 23% in 2015 to 87% in 2023, with predominant participation from workers aged 18-34 (68%). Average monthly platform-based income reached $850, with substantial sectoral variations across IT (42%), design (28%), and content creation (18%). Platform engagement demonstrated strong correlation with skills improvement among 76% of participants, though significant urban-rural disparities emerged, showing a 45% income gap between metropolitan and peripheral areas. Longitudinal analysis indicated steady growth in platform-based employment, with annual increases averaging 15% over the study period. Statistical analysis demonstrates a strong correlation between platform engagement and career growth (r = 0.72, p

Business · Crowdsourcing · Engineering ethics · Epistemology · Phenomenon · Political science · Public relations · Social phenomenon · Social science · Sociology · Digital Transformation in Law · Engineering · Engineering and Environmental Studies · Impulse Buying and Technology Impacts · Law

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