ArticleHeliyon2023
Assessment of users' adoption behaviour for stock market investment through online applications.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Investing in stocks has become increasingly accessible, with beginners able to start an account via a brokerage's website or mobile app with very little money. Online trading through applications allows you to trade independently without a broker's interference. This not only lowers the overall cost of trading but also makes it hassle-free, increasing the value of the business significantly. Using an online trading account gives an investor more control. This paper examined the user's perspective on stock market investment through online applications. The impact of users' awareness, benefits & choice of investment, reliability, safety, risk-related factors, financial literacy, technical aspect, and dependency was analyzed on users' adoption behaviour. An empirical survey with a valid sample of 424 respondents from India was collected from the respondent and analyzed using descriptive analysis, correlation analysis, reliability analysis, analysis of variance, and regression analysis. Results indicated that users' awareness, benefits & choice of investment, reliability, safety, risk-related factors, financial literacy, technical aspect, and dependency significantly influence the users' adoption behaviour in using stock trading applications. The findings will assist potential investors in comprehending the factors influencing the adoption of such apps and aiding the organizations engaged in operating or creating such applications in understanding user behaviour, which will significantly add value to the society at large.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.