| Title: EXPLORING DETERMINANTS OF CAREER ADVANCEMENT AND DEVELOPMENT IN CROWD WORK PLATFORMS |
| Author: Dr. Devaraju |
| Abstract: The growth of artificial intelligence and online task platforms has significantly increased the importance of crowd work within the global digital economy. The present study explores the determinants of career advancement and development among crowd workers engaged in online labor platforms. The study examines the influence of digital skills, platform reputation, and platform support on career growth opportunities in crowd work environments. A quantitative research design was adopted, and primary data were collected from 200 crowd workers through a structured questionnaire. Snowball sampling was used due to the dispersed and digitally connected nature of the target population. Statistical tools such as Pearson correlation, Independent Sample t-test, and One-Way ANOVA were employed to analyze the collected data. The study indicates that digital competencies, positive platform reputation, and supportive platform practices significantly influence career advancement among crowd workers. The research highlights the growing importance of professional development, skill enhancement, and ethical platform governance in digital labor systems. The findings provide useful implications for platform operators, policymakers, and researchers in promoting sustainable career development and inclusive employment opportunities within AI-driven online work ecosystems. |
| Keywords: Crowd Work, Career Advancement, Digital Labor Platforms, Platform Support, Artificial Intelligence |
| DOI: https://doi.org/10.38193/IJRCMS.2026.8314 |
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| Date of Publication: 24-05-2026 |
| Download Publication Certificate: PDF |
| Published Vol & Issue: Volume 8 Issue 3 May-June 2026 |