Effect of trust on customer acceptance of Internet banking

By Bomil Suh, Ingoo Han. Electronic Commerce Research and Applications, 2002

977 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ff9a549b67147cc937080b3f8a1df39165043f1e

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In Information Systems and Management

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Citations in the corpus

Antecedents of Online Shopping Behavior in India: An Examination (2011, background): “Research suggests trust as an important attribute in online shopping (Suh and Han 2002 ; Ha and Stoel 2009 ).”
Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model (2016, methodology): “Previous e-commerce studies indicate that perceived security and privacy is an important antecedent of trust (Centeno, 2004; Libaque-Sáenz et al., 2016; Suh and Han, 2002; Yousafzai et al., 2003).”
Modeling users’ acceptance of mobile services (2012, background): “analyzing the m-commerce adoption in Malaysia [71], Suh and Han contributing to e-banking [60], and Gefen and Straub talking about B2C e-Services [28] detected a positive influence of trust on consumers’ behavioral intention.”
The influence of corporate image on consumer trust: A comparative analysis in traditional versus internet banking (2005, result): “We might also cite the study done by Suh and Han (2002)”
Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach (2018, result): “This finding has been supported in several succeeding studies (Davis & Wiedenbeck, 2001; Karahanna & Straub, 1999; Saade & Bahli, 2005; Suh & Han, 2002; Venkatesh & Davis, 1996).”
Trust in AI and Its Role in the Acceptance of AI Technologies (2022, methodology): “The role of trust was tested in the use of a new information system (Tung et al., 2008) and different online services, such as online games (Wu & Liu, 2007), banking (Suh & Han, 2002), social network sites (Sledgianowski & Kulviwat, 2009), and shopping (Gefen et al., 2003), among others.”
How Much can you Trust Online Information? Cues for Perceived Trustworthiness of Consumer-generated Online Information (2011, background): “Grazioli and Jarvenpaa (2000) and Suh and Han (2002) found that trust is a component of belief that has an impact on attitude.”
Influencing the online consumer's behavior: the Web experience (2004, background): “Tamimi et al. (2003) define the online shopping experience as a process of four stages describing the successive steps of an online transaction.”
Trust and distrust in online banking: Their role in developing countries (2007, background): “The banking industry is not immune to customers’ competing perceptions of trust and distrust (Chau & Lai, 2003; Suh & Han, 2002).”
Trustworthiness in mHealth information services: An assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS) (2011, background): “However, many IS studies have not clearly differentiated between trustworthiness and trust (Bhattacherjee 2002, Gefen & Straub 2004; Luo et al. 2010; Pavlou 2003; Suh & Han, 2002).”