Research by boto Garc í a studies the "drift" effect
in tourism decision-making. The author uses the
representative micro data of 28 European countries
from 2014 to 2016 and an empirical model involving
more than 60000 people to explain the potential
endogenous social impact effects using the method of
control function (Boto-García & Baños-Pino, 2022).
According to the study's findings, the percentage
of persons who travel overseas in their local area has
a beneficial impact on both tourism participation and
international travel, exhibiting a conformity effect
(Boto-García & Baños-Pino, 2022). The study also
found that: (i) the conformity effect varied among
countries, and (ii) the social effect of non travelers
was greater in the previous year (Boto-García &
Baños-Pino, 2022). According to certain research,
vacation travel allows people to display their
personalities, accomplishments, and status, which
could result in social contagion and imitation in the
context of the tourist sector (Boto-García & Baños-
Pino, 2022).
Research by Mark A. Orloff el al suggests that
conformity behavior does indeed affect students'
career decisions. This means that the greater the
conformity effect of students, the fewer career
decisions they make, but there is no
representativeness that can point to the whole (Orloff
et al., 2024).
Moreover Research by Boto Garc í a studied the
conformity effect in tourism travel decisions.
According to the research findings, the percentage of
persons who travel overseas in their local
communities has a beneficial impact on both tourism
involvement and international travel, exhibiting a
Conformity effect. (Boto-García & Baños-Pino,
2022).
These two experiments tested in different
populations whether they would be affected by
conformity effects when making decisions. For
example, in career choices, students tend to favor
popular careers chosen by the public, while in travel
choices, people tend to choose places where more
people go. This indicates that the choices made by
individuals in different situations are influenced by
conformity effects.
The study mainly investigates the impact of other
people's vacation plans on individual travel
participation (vacation travel) and destination choice
(foreign and domestic) in the context of summer
vacation travel (Boto-García & Baños-Pino, 2022).
There is relatively little research on the herd effect at
the overall level among a large population. It can also
indicate that the conformity effect among this group
of people will affect their decision-making.
4 IMPACT OF CONFORMITY
EMOTION ON DECISION
Cheng Peng's study examined the influence of
emotional states on risk decision-making, specifically
the ways in which human risk-seeking behavior was
impacted by emotions like happiness and melancholy
(Peng, 2024). The experiment involved 53 Chinese
participants, divided into two groups, each group
manipulated emotions through a short video clip to
induce happiness or sadness (Peng, 2024). Following
emotional state verification, participants engaged in a
gambling game designed to assess their decisions to
take or not take risks in a variety of gain-and-loss
scenarios. Compared to those in the cheerful
condition (44. 44%), participants in the sad condition
had a greater propensity for risk-seeking behavior
(60%). (Peng, 2024). In addition, there is a significant
difference between the gains and losses in the grief
group, with risk seeking behavior being more
pronounced in the losses. The t-test results (t=2. 66,
p=0. 0104) indicate a statistically significant
difference in risk seeking behavior between the two
emotional states (Peng, 2024). These findings suggest
that in risky situations, emotions significantly
influence decision-making processes, and sadness
promotes greater risk-taking tendencies (Peng, 2024).
This study contributes to understanding the emotional
drivers behind decision-making and emphasizes the
importance of considering emotional states in risk-
based decision-making models. However, this
experiment still has its limitations as it only studies
two emotions: happiness and sadness. It has been
proven that these two emotions can affect decision-
making, but it is unclear how other emotions affect
decision-making like anger, fear.
Research by Zhang, who organized relevant
literature, found that emotions have an impact on
judgment and decision-making (Zhang, 2017).
For example, when a person makes risk decisions
under the influence of anxiety, they often tend
towards safer choices (Zhang, 2017). A person who
is grateful to a certain school may even be grateful to
him willing to donate more money to the school due
to a lack of consideration for my own payment ability.
The integration of emotional effects can work
consciously or unconsciously in humans. Integrate
emotional biases. Due to arbitrary judgments or
decisions, emotions can be integrated and can lead to
biased decisions being made. For example, even
within the same mileage, the mortality rate of driving
is higher than that of flying, but when people travel.
they often fears flying and chooses to drive instead
(Zhang, 2017). Researchers have found that
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