A Study on Behaviour Intention of Online Share Traders, with a Special Reference to Coimbatore City

This study analyses the behaviour intention of online share traders in Coimbatore, focusing on keyfactors influencing their decision to engage in online trading. It examines demographic variables like age,education, and income, alongside perceived risks and security concerns. A quantitative research approachusing a structured questionnaire reveals that most traders are aged 21-30, predominantly male, withmoderate income and private-sector employment. They primarily use mobile platforms and possessmoderate trading experience. Interestingly, demographic factors like age, gender, income, occupation, andeducation level do not significantly impact traders’ behaviour intention. The study offers valuable insightsfor financial institutions, platform developers, and policymakers to improve online trading platforms andremove potential barriers, while contributing to existing research on online trading behaviour.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-13
DOI
https://doi.org/10.5281/zenodo.15207306
Primary Topic
Fibroblast Growth Factor Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on Behaviour Intention of Online Share Traders, with a Special Reference to Coimbatore City

Zenodo (CERN European Organization for Nuclear Research)
Fibroblast Growth Factor Research
article

A Study on Behaviour Intention of Online Share Traders, with a Special Reference to Coimbatore City

article en

Abstract

This study analyses the behaviour intention of online share traders in Coimbatore, focusing on keyfactors influencing their decision to engage in online trading. It examines demographic variables like age,education, and income, alongside perceived risks and security concerns. A quantitative research approachusing a structured questionnaire reveals that most traders are aged 21-30, predominantly male, withmoderate income and private-sector employment. They primarily use mobile platforms and possessmoderate trading experience. Interestingly, demographic factors like age, gender, income, occupation, andeducation level do not significantly impact traders’ behaviour intention. The study offers valuable insightsfor financial institutions, platform developers, and policymakers to improve online trading platforms andremove potential barriers, while contributing to existing research on online trading behaviour.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 58%
Fibroblast Growth Factor Research
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