Sabbir Ahmed Chowdhury. Research manuscript examining how generative AI is reshaping platform work, with particular emphasis on job quality, skill polarization, algorithmic management, and worker agency. The study uses a systematic comparative evidence synthesis of 28 peer-reviewed journal articles published between 2017 and 2025 and compares pre- and post-generative-AI research patterns.
CITE THIS ARTICLE
(n.d.). Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency. https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1
“Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency,” n.d.. [Online]. Available: https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1
(n.d.) ‘Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency’. Available at: https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1
“Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency.” n.d., https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1.
“Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency.” (n.d.). https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1.
Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency. n.d.. https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1
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title = {Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency},
url = {https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1},
}
TY - GEN
TI - Platform Work After Generative AI: A Comparative Study of Job Quality, Skill Polarization, and Worker Agency
UR - https://www.sabbirresearchhub.com/research/d2df0c9e-1d8a-5bfa-9d49-afc526ce05d1
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Sabbir Ahmed Chowdhury. Research manuscript investigating privacy-preserving causal marketing analytics and sustainable personalization. Using 2,205 anonymized customer records, the study evaluates whether data minimization can preserve causal, predictive, and customer-value performance while reducing dependence on extensive behavioral data.
Sabbir Ahmed Chowdhury. Research manuscript proposing a socio-technical destination digital twin framework for climate-resilient tourism. The study integrates tourism demand forecasting, mobility simulation, visitor experience, operational carbon emissions, and resident wellbeing within a unified decision-support framework.