DEVELOPMENT OF AN IMPULSE BUYING MODEL IN SOCIAL COMMERCE-BASED SHOPPING ACTIVITIES
The presence of technology has changed shopping behavior from traditional commerce to digital commerce or electronic commerce. Social media, which was originally a place to share activities, is now transformed into a new trading space known as social commerce. Social commerce is a method of shopp...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77702 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The presence of technology has changed shopping behavior from traditional
commerce to digital commerce or electronic commerce. Social media, which was
originally a place to share activities, is now transformed into a new trading space
known as social commerce. Social commerce is a method of shopping using social
media platforms (Tiktok, Facebook, Instagram, Twitter, etc.). Social commerce uses
a combination of social media and e-commerce functions to conduct commercial
activities by utilizing online social capital on social media. Using social media for
a long period of time and the experiences shared by others trigger a sudden and
often irresistible urge to buy called impulsive buying. Impulsive buying is an
unplanned purchase when a customer feels the urge to buy a product or service
suddenly. As social commerce grows, the number of sales is increasing so
merchants need a good strategy in creating content to stand out from the crowded
online marketplace. The purpose of this study is to propose a model that can explain
the urge to buy impulsively on social commerce. This research analyzes customer
characteristics that can lead to impulse purchases. This research identifies the
factor that the richness of available information affects both cognitive and affective
reactions. Interaction factors are also investigated to determine any influence on
impulse buying.
This study uses 232 user sample data who have made purchases of fashion products
through social commerce. Partial least square structural equation modeling (PLS-
SEM) is used to process data. Several testing procedures were conducted to support
the research results, such as measurement model evaluation and structural model
evaluation.
The results of this study indicate that information factors, interactions, and
customer characteristics have an influence on affective reactions and cognitive
reactions that indirectly affect impulse buying. Information factors that have a
significant effect are price and variety of products on cognitive reaction. The
interaction factors that have a significant effect are parasocial interaction on
affective reaction and scarcity persuasion on cognitive reaction. The customer
characteristic factor that has a significant effect is hedonic motivation, both on
cognitive reaction and on affective reaction. An effective reaction will affect
impulsive buying urge. In addition, browsing (utilitarian browsing and hedonic
browsing) is also known to have a significant effect on impulse buying.
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