Fintech disruption predicting adoption rates of digital wallets using machine learning on consumer behavior data - an empirical investigation in Pakistan

By: Material type: TextTextPublication details: Islamabad (unpublished) 2025Description: iii, 78 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 658.4038 AQS
Dissertation note: Thesis (M.Phil)--Riphah International University, 2025
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis Al-Mizan Campus 658.4038 AQS (Browse shelf(Opens below)) 1 Not for loan 101048

Submitted in fulfilment of the requirements for the degree of Master of Science in Business Analytics to the Faculty of Management Sciences.

Includes bibliographical references and appendix

Thesis supervisor: Mudassar Naseem

Thesis (M.Phil)--Riphah International University, 2025

English

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