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Autores
Orientador(es)
Resumo(s)
Human behaviour is always a complicated subject of study but is one of the most wanted in many
related areas, such as finance. Behavioural finance studies have been booming over the last years
once scientists and organizations try to understand the causes and effects that lead to a particular
action. This is in line with the general information on areas related to finance (e.g. Investments,
personal finance, decision and control, among others. With this rapid spread of information, social
interaction is more than ever an exciting topic to consider once the financial decision can help us
predict behaviour. During the pandemic, many people worldwide were in lockdown, which drew
their attention to finance investments. Cases like the Game stock and Reddit users show that retail
investors can move prices up and down the market enough to create a loss for great corporations
and financial institutions. This type of social behaviour shows how important it is to understand
what drives human behaviour in finance to avoid a crash in the market system. This study uses
the validation and expansion of the technology acceptance model (TAM) on social interaction in
trading and investment applications and tries to predict if people are being influenced when or to
use this kind of application. To achieve this mark, we collected 233 responses using Qualtrics and
then indicated that social interaction significantly affects user behavioural finance.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
Financial Market Social interaction Trading and Investing Behaviour Finance applications
