Fintech disruption predicting adoption rates of digital wallets using machine learning on consumer behavior data - an empirical investigation in Pakistan
Aqsa Umar (63520)
Fintech disruption predicting adoption rates of digital wallets using machine learning on consumer behavior data - an empirical investigation in Pakistan - Islamabad (unpublished) 2025 - iii, 78 p. : ill. ; 30 cm. +CD
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
Business analytics--Techonological readiness--Consumer behavior--Personal innovation--Machine learning--Digital wallets--FMS
658.4038 / AQS
Fintech disruption predicting adoption rates of digital wallets using machine learning on consumer behavior data - an empirical investigation in Pakistan - Islamabad (unpublished) 2025 - iii, 78 p. : ill. ; 30 cm. +CD
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
Business analytics--Techonological readiness--Consumer behavior--Personal innovation--Machine learning--Digital wallets--FMS
658.4038 / AQS