About
Dr. Manesh R. Palav is an Associate Professor in the area of Marketing Management and Logistics and Supply Chain Management at Dr. D. Y. Patil Vidyapeeth’s, Global Business School and Research Centre, Pune, Maharashtra, India.
He has more than 18 years of experience in Industry, Research and Academics. He has completed his PhD from Savitribai Phule Pune University (SPPU) Formerly Pune University in Marketing Management. He has Master’s Degree in Business Administration (MBA in Financial Management) and Masters in Marketing Management. Bachelor’s degree in pharmacy from Savitribai Phule Pune University (SPPU). He has done Post Graduate diploma in Materials and Logistics Management from SPPU.
He has in his credit 1 Book, Research Papers in Scopus indexed journals, UGC Care listed journals and ISBN journals, 1 Patent Published and 2 Scopus indexed Book chapters.
His areas of interest and research are Marketing Management, General Management, Project Management, Logistics and Supply Chain Management, Consumer Behaviour etc.
Employment
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Dr. D.Y. Patil Vidyapeeth, Pune Associate Professor2021 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- A critique of the perception parameter used in the ranking of higher education institutions Save
- A study of compliance with data-sharing requests by Social Science researchers Save
- Barriers and need for dataset sharing in the publishing of research thesis Save
- Securing Sign-Up and Sign-In in the Indian Market: Fraud Prevention in CIAM for CRM - A Comprehensive Review and Future Directions Save
- Optimizing Supply Chain Management With IoE and AI Save
- Boosting Inference and Decision Making in Edge AI Networks Through Quantum Computing and Collective Dynamics of 'Small-World' Networks Save
- Efficient Power Grid Management Using Quantum Computing and Machine Learning Save
- Efficient AI Data Traffic Management via Quantum Network Routing Algorithms With Genuine Nonlocality in Triangle Networks Save
- VLSI Architectures for Real-Time Business Intelligence Save
- Smart Healthcare Systems Using IoE and AI Save