Analyzing the Psychological Factors That Influence the Effectiveness of Short Span Media in Financial Education with Respect to Gen - Z.

This study explores the psychological factors influencing the effectiveness of short-span media in delivering financial education to Generation Z. As digital natives, Gen Z engages with brief, visually engaging content, requiring an understanding of how these formats impact financial literacy and decision-making. The age distribution of the 179 survey respondents revealed a skewed demographic, with ages ranging from 7 to 48 years. Notably, the largest group was 19 years old, representing 34.6% (62 individuals) of the total participants. The second most frequent age was 22, accounting for 15.1% (27 individuals). Other age groups showed significantly lower representation, with most falling below 10% of the responses, indicating a concentration of participants within the late teens and early twenties.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.38124/ijisrt/25mar1525
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Analyzing the Psychological Factors That Influence the Effectiveness of Short Span Media in Financial Education with Respect to Gen - Z.

S Umakanth., M S Pranav, Swaraj Patra, N T Ashwini et al.
Technology Adoption and User Behaviour
article

Analyzing the Psychological Factors That Influence the Effectiveness of Short Span Media in Financial Education with Respect to Gen - Z.

S Umakanth., M S Pranav, Swaraj Patra, N T Ashwini, leena Daga
article en

Abstract

This study explores the psychological factors influencing the effectiveness of short-span media in delivering financial education to Generation Z. As digital natives, Gen Z engages with brief, visually engaging content, requiring an understanding of how these formats impact financial literacy and decision-making. The age distribution of the 179 survey respondents revealed a skewed demographic, with ages ranging from 7 to 48 years. Notably, the largest group was 19 years old, representing 34.6% (62 individuals) of the total participants. The second most frequent age was 22, accounting for 15.1% (27 individuals). Other age groups showed significantly lower representation, with most falling below 10% of the responses, indicating a concentration of participants within the late teens and early twenties.

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Technology Adoption and User Behaviour
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