Managing User Trust in B2C e-Services

By David Gefen, Detmar W. Straub Jr.. 2003

1,321 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/33c55bbb85c43af61870182f098d7694c12a725f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

Transparency and trust in artificial intelligence systems (2020, background): “A straightforward approach used in many fields is to ask subjects about their trusting beliefs or trusting intentions towards a certain entity, typically by means of standardised survey instruments (e.g. Gefen & Straub, 2003).”
Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping (2007, methodology): “…social presence will result in greater perceived usefulness in online shopping websites The relationship between perceived social presence and perceived ease of use has not been supported in previous literature (Gefen and Straub, 2003) and, as such, is not included within our research model.”
Design aesthetics leading to m-loyalty in mobile commerce (2006, methodology): “Path analyses were performed to test the hypotheses using the variance-based partial least square (PLS) method as used in recent IS studies [2,36,95,68].”
How Presentation Flaws Affect Perceived Site Quality, Trust, and Intention to Purchase from an Online Store (2005, background): “include help facilities [28]; communities [35, 36, 40]; privacy, security, and refund or replacement policies [16, 35, 40, 59]; and seals of approval [16, 59].”
Determinants of accepting wireless mobile data services in China (2008, background): “Trust as an antecedent belief has been held as influential on perceived usefulness [14].”
Humanizing Products with Handwritten Typefaces (2018, background): “Several cues, such as personalized greetings (Gefen and Straub 2003) or pictures of human beings (Hassanein and Head 2005/2006), create perceptions of human presence.”
Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior (2013, methodology): “This relationship has also been validated in online technology context (Gefen and Straub, 2003; Gefen et al., 2003; McCloskey, 2006; McKechnie et al., 2006; Moon and Kim, 2001; Morosan and Jeong, 2008).”
Reflections on the dimensions of trust and trustworthiness among online consumers (2002, background): “Previous research however regarded trust as a single conceptual construct, albeit possibly containing several statistical dimensions (Jarvenpaa & Tractinsky, 1999; Gefen & Straub, 2002; McKnight et al., 2000; McKnight & Chervany, 2001; Gefen & DeVine, 2001).”
A Meta-analysis of Online Trust Relationships in E-commerce (2017, methodology): “Studies were excluded because they used the same dataset as another study (e.g., Gefen, Karahanna, and Straub 2003a; Gefen and Straub 2003) or only measured trust in the Internet (e.g., Pan and Chiou 2011).”
Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context (2013, background): “Secondly, despite the vigour of technology acceptance/adoption frameworks, some researchers indeed suggest that other prior factors may importantly influence attitudes toward using a technology [31, 69].”
COVID-19: fear appeal favoring purchase behavior towards personal protective equipment (2020, background): “Even though these antecedences are not new in marketing and advertising literature (Cyr et al., 2007; Gefen & Straub, 2003; Mäntymäki & Salo, 2010; Mcdaniel & Zeithaml, 1984; Short et al., 1976; Witte & Allen, 2000), their combination is new and not explored in any similar pandemic and global…”