Exploring factors affecting the adoption of mobile commerce in Singapore

By KENNETH C.C. YANG. Telematics and informatics, 2005

694 citations recorded by the source corpus.

M-commerce is defined as any direct or indirect transaction conducted and facilitated through a wireless telecommunication network. There are currently 94.9 million M-commerce users worldwide in 2003 and the segment is expected to grow to 1.67 billion by 2008. This research explores how Singaporeans are influenced to adopt the M-commerce. The research employs the Technology Acceptance Model (TAM) to examine factors affecting Singaporeans' attitudes toward this emerging mobile technology and applications.The research uses a quantitative approach to survey 866 Singaporean students examining their decision-making process to adopt M-commerce. Empirical data from regression analyses reflect consumer perceived usefulness (PU) influence attitude toward using (AT) M-commerce. It is also found consumer innovativeness, past adoption behavior, technology cluster adoption, age, and gender affect their adoption behavior. Results from multiple regression analyses further reveal that male respondents tend to perceived M-commerce favorably.The majority of positive relationships between PU, PEOU, AT, innovativeness, adoption behavior, and demographics are supported by the empirical data. Results also support the applicability of TAM and its extension to examine M-commerce adoption by Singapore consumers. This research also validates the robustness of TAM to study emerging technologies outside the U.S. context.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f305640b94ba61a7fec65b3c27eef3baae6eab3a

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Citations in the corpus

Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation (2018, neutral): “Yang and Forney (2013) concluded that security and privacy concerns lead to anxiety, and Yang (2005) noted that access costs and risks related to credit cards are other factors that worry consumers in this context.”
User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust (2014, result): “The findings also concur with previous research on the TAM which consistently finds that PU is a more powerful predictor than PEOU (Yang, 2005).”
Understanding the intention to use mobile shopping applications and its influence on price sensitivity (2017, neutral): “(Wu and Wang, 2005; Yang, 2005; Hung et al., 2007; Tsu Wei et al., 2009; Chong et al., 2012; Chong, 2013; Lu, 2014; Agrebi and Jallais, 2015; Faqih and Jaradat, 2015; Wang et al., 2015).”
Design aesthetics leading to m-loyalty in mobile commerce (2006, background): “However, only a few studies have examined factors that influence actual adoption of mobile commerce [70] [96] or hedonic components, such as fun or entertainment that induce consumers to use a mobile device.”
Exploring consumer adoption of mobile payments - A qualitative study (2007, background): “The present mobile commerce adoption research (see, e.g., Nysveen et al., 2005; Wu & Wang, 2005; Yang, 2005), however, has not yet widely studied the effect of situational factors on mobile commerce adoption.”
Increasing trust in mobile commerce through design aesthetics (2010, neutral): “(Yang, 2005) and extended business applications for mobility (Perry, O’Hara, Sellen, Harper, & Brown, 2001; Schrott & Gluckler, 2004).”
Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers (2018, methodology): “509 easy way (Yang, 2005) and is appropriate for this study because past studies are applying this sampling technique in similar type of studies (e.”
What catalyses mobile apps usage intention: an empirical analysis (2015, background): “(2013a), university students are more open to adopt new ICTs at this age bracket (Yang, 2005).”
Towards an understanding of the behavioral intention to use 3G mobile value-added services (2009, methodology): “…of information technology (Adams, Nelson, & Todd, 1992; Bruner & Kumar, 2005; Davis, 1989; Davis et al., 1989; Heijden et al., 2003; Igbaria et al., 1997; Liao et al., 2007; Lin & Lu, 2000; Luarn & Lin, 2005; Mathieson, 1991; Moon & Kim, 2001; Taylor & Todd, 1995; Wu & Wang, 2005; Yang, 2005).”
Towards an understanding of the consumer acceptance of mobile wallet (2009, background): “Mobile wallets have already become a mainstream phenomenon in Asia (Yang, 2005).”