ARTIFICIAL INTELLIGENCE PROSPECTIVE OR NOT FOR FINTECH COMPANIES ASSESSMENT OF THE PERCEPTIONS OF GENERATION – Z IN AHMEDABAD CITY

Generation Z typically resonates to those individuals born between year 1997 and 2012. These individuals are called digital natives as they have grown up with the internet and smartphones as integral part of their lives. Artificial Intelligence is the buzz word for Gen Z. They perceive that Artificial Intelligence usage in the Fintech such as Data Analysis and Learnings, A Frictionless Payment Method using Facial Recognition, Trading with help of AI, Using Predictive Modelling to Increase banks’ profits, Fraud Detection and Prevention, Robo Advisory for Investment Management, Credit Scoring and Risk Assessment, Chatbots for Customer Service, Personalized Financial Recommendations, Integration of Blockchain Technology and Smart Contracts will ensure the prospectiveness of Artificial Intelligence for fintech companies. The researcher in this paper tries to examine the above perceptions by conducting the survey in the Ahmedabad city. The target audience for the survey selected by the researcher are Generation Z Respondents of Ahmedabad City. The Structured Questionnaire as a research instrument is used to collect the responses of 240 respondents. Further the research work is substantiated by the demographic analysis and perception analysis.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17471620
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ARTIFICIAL INTELLIGENCE PROSPECTIVE OR NOT FOR FINTECH COMPANIES ASSESSMENT OF THE PERCEPTIONS OF GENERATION – Z IN AHMEDABAD CITY

Zenodo (CERN European Organization for Nuclear Research)
FinTech, Crowdfunding, Digital Finance
article

ARTIFICIAL INTELLIGENCE PROSPECTIVE OR NOT FOR FINTECH COMPANIES ASSESSMENT OF THE PERCEPTIONS OF GENERATION – Z IN AHMEDABAD CITY

article en

Abstract

Generation Z typically resonates to those individuals born between year 1997 and 2012. These individuals are called digital natives as they have grown up with the internet and smartphones as integral part of their lives. Artificial Intelligence is the buzz word for Gen Z. They perceive that Artificial Intelligence usage in the Fintech such as Data Analysis and Learnings, A Frictionless Payment Method using Facial Recognition, Trading with help of AI, Using Predictive Modelling to Increase banks’ profits, Fraud Detection and Prevention, Robo Advisory for Investment Management, Credit Scoring and Risk Assessment, Chatbots for Customer Service, Personalized Financial Recommendations, Integration of Blockchain Technology and Smart Contracts will ensure the prospectiveness of Artificial Intelligence for fintech companies. The researcher in this paper tries to examine the above perceptions by conducting the survey in the Ahmedabad city. The target audience for the survey selected by the researcher are Generation Z Respondents of Ahmedabad City. The Structured Questionnaire as a research instrument is used to collect the responses of 240 respondents. Further the research work is substantiated by the demographic analysis and perception analysis.

Zenodo (CERN European Organization for Nuclear Research)
Gujarat University (IN), Government of Gujarat (IN), ICFAI Business School (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
FinTech, Crowdfunding, Digital Finance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.