Technology Acceptance Model and Stimulus-Organism Response for the Use Intention of Consumers in Social Commerce

Technology Acceptance Model and Stimulus-Organism Response for the Use Intention of Consumers in Social Commerce

Youngkeun Choi (Sangmyung University, Seoul, South Korea)
Copyright: © 2019 |Pages: 9
DOI: 10.4018/IJEBR.2019040105

Abstract

This article examined two aspects of user decision making for social commerce and suggested technology acceptance model as cognitive process and stimulus-organism response as affective process to explain the people's behaviors. Research methodology is a survey for undergraduate students, which was conducted in December 2013 on a popular social commerce site (www.ticketmonster.co.kr). In the results, first, usefulness and ease of use are shown to increase user intention of social commerce. Second, joy and pride increase user intention of social commerce, while fear decreases it.
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2. Theory And Hypothesis

2.1. Social Commerce

While the B2C market is growing and profitable, the competition for market share is also increasing in many retail sectors (e.g., books, travel, information, music, insurance, and electronics). Social commerce has a significant impact on the social interaction between business processes and consumers (Spaulding, 2010). In fact, in this environment, consumers can be exposed to more social and collaborative online shopping experiences to aggregate collective intelligence to better understand purchasing and support more accurate shopping decisions (Dennison et al., 2009). Online merchants can help them to better serve their customers by identifying consumer behavior, preferences and expectations (Constantinides et al., 2008). Unlike traditional e-commerce, which focuses on improving the efficiency of online shopping, social commerce offers a rich social, interactive and collaborative online shopping experience (Yang et al., 2015). In this way, e-commerce moves to a consumer-centered environment aimed at creating new business opportunities (Yang et al., 2015), increasing consumer participation (Guo & Barnes, 2011) (Sadovykh et al., 2015), support product and brand development (Huang et al., 2012).

Research on social media and Web 2.0 related to the context of e-commerce (Hajli, 2014) and to their impacts on consumers (Kim & Park, 2013) including their attitudes (Hassanein & Head, 2007), levels of satisfaction (Bai et al., 2008), and shopping behaviors (Seckler et al., 2015) emphasize the importance of designing quality social commerce websites (Hernández et al., 2009). In fact, website design has a significant impact on consumer interaction with social commerce (Cebi, 2013). Consumer purchase intentions, in particular, are heavily influenced by the quality of the social commerce website design (Curty & Zhang, 2013).

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