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Mudd, Rich, & Bruich, 2012). Therefore, it's critical to figure out which types of content get the most attention and which messages get
the best results to figure out what items to advertise and what kind of promotions are much more attractive, the idea is that the content
creates a relationship with the business (Santana et al., 2012). According to Tsimonis and Dimiatris (2014), constructive firm- generated
content on social media helps businesses to develop positive eWOM. The following hypothesis is presented as a result of the above
reasons:
H2: Firm-generated social media communication has a positive effect on electronic word of mouth (e-WOM).
H : Firm-generated social media communication has a negative effect on electronic word of mouth (e-WOM).
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2.4.3 ELECTRONIC WORD OF MOUTH (E-WOM)
Traditional word of mouth was revolutionized by the development of the Internet and the expansion of social media, which brought
it to electronic level and converted it into electronic word of mouth (e-WOM) (Mishra & S M, 2016). The term electronic word of mouth
(e-WOM) refers to the process of conveying and collecting information, as well as service and product recommendations, through various
media channels (Abrantes et al.,2013), when the communicator and recipient are separated in location and time (Steffes & Burgee, 2009).
Today, eWOM is the most prevalent method of gathering brand information that may be utilized to influence customer product
assessments (Kudeshia & Kumar, 2017). People throughout the world actively express their views, making an effect on problems that
interest them (Kucukemiroglu & Kara, 2015). Customers create content regarding brands, products, services, and experiences, which
they could share with other consumers (Kim et al., 2015). Online reviews aid people in their purchasing decision process while also
increasing the company's revenue (Kudeshia & Kumar, 2017). According to Lin & Xu (2017), these reviews influenced almost 50% of
buying decisions made in stores. Therefore, this can be hypothesized the e-WOM has a direct association with brand equity.
H3: Electronic word of mouth (e-WOM) has a positive and direct impact on brand equity.
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H : Electronic word of mouth (e-WOM) has a negative and direct impact on brand equity.
2.4.4 REPURCHASE INTENTION
Repurchase intention has been identified as the possibility of buying the brand items again (Chen et al., 2016). Repurchase intention
is defined by Fang et al. (2017) as customers' predisposition to buy items from the same producer over a lengthy period of time. According
to Wu et al. (2014), repurchase also known as retention, which is frequently regarded one of the most essential elements in marketing
concept. Businesses should be concerned about their customers' repurchase intentions, especially if they want to expand service and
product sales. Its in accordance with Lin & Lekhawipat (2014) who stated that repurchase intention could encompass not just desire to
buy the product again, but also desire to promote it to family and friends. Customer repurchase intention is strongly influenced by brand
awareness, which is essential and vital constraint in brand-related investigations (Kapferer, 2008). Pather,
P. (2017) indicated that repurchase intention had been influenced by brand association. According to Chaudhuri (2002), customer
repurchase intention would be high when customers’ perceived quality increase. Loyalty is an important factor in achieving lengthy
profitability, customer repurchase intention, and competitiveness (Nguyen and Liem, 2013). Thus, the following hypothesis is presented
as a result of the above reasons:
H4: Brand equity has a positive and direct impact on repurchase intention.
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H : Brand equity has a negative and direct impact on repurchase intention.
2.5 RESEARCH FRAMEWORK MODEL
Figure 1: Conceptual Framework
Figure 1 is a conceptual framework that is applied in this research. In order to investigate the effect of e-WOM and brand equity on repurchase
intention, the research model was created and using identified components from a comprehensive literature study. The dimension used in
this study was modified from Mersid and Sumeja research (2019), who studied the influence of social media content on
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