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.
(n.d.). Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value. https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76
“Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value,” n.d.. [Online]. Available: https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76
(n.d.) ‘Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value’. Available at: https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76
“Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value.” n.d., https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76.
“Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value.” (n.d.). https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76.
Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value. n.d.. https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76
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title = {Sustainable Personalization Without Surveillance: Privacy-Preserving Causal Marketing Analytics for Long-Term Customer Value},
url = {https://www.sabbirresearchhub.com/research/5c0ebb16-cef7-582b-9f59-19d22631ec76},
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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.
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.