Inexperience and experience with online stores: the importance of TAM and trust
By David Gefen, Elena Karahanna, Detmar W. Straub Jr.. IEEE Trans. Engineering Management, 2003
1,007 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/4ec1e0fa79f8377c2b16d9c1e00a6a3d16021126
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
- V. Venkatesh
- Michael D. Williams
- Ofir Turel
- Yogesh Kumar Dwivedi
- Izak Benbasat
- Nripendra P. Rana
- Sumeet Gupta
- Michael G. Morris
In Organizational Behavior and Human Resource Management
- V. Venkatesh
- Michael D. Williams
- Yogesh Kumar Dwivedi
- Izak Benbasat
- Nripendra P. Rana
- Francisco J. Liébana-Cabanillas
- Chao-Min Chiu
- Francisco Muñoz-Leiva
In Sociology and Political Science
- V. Venkatesh
- Michael D. Williams
- Ofir Turel
- Izak Benbasat
- Yogesh Kumar Dwivedi
- Sumeet Gupta
- Nripendra P. Rana
- Tao Zhou
Citations in the corpus
- A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type (2011, background): “This study follows the hypotheses proposed by most of he other TAM related studies that TRU is an antecedent of PU and a escendant of PEU; meanwhile, TRU has a direct influence on BI and TT (Gefen et al., 2003a, 2003b; Lean, Zailani, Ramayah, & Fernando, 1.”
- Trust In and Adoption of Online Recommendation Agents (2005, methodology): “Recently, several studies (e.g., Gefen et al., 2003a; Gefen et al., 2003b; Gefen and Straub, 2003; Pavlou, 2003) have looked into the role of social factors (e.g., trust) as direct antecedents of behavioral intentions.”
- Online repatronage intention: an empirical study among Malaysian experienced online shoppers (2014, background): “The critical importance of TRT in organizational success (Morgan and Hunt, 1994; Mayer et al., 1995), on the one hand, and the TAM antecedents of IT acceptance of a web site, on the other, represent two inseparable, yet complementary, aspects of an online vendor’s web site (Gefen et al., 2003).”
- Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs (2007, background): “During initial trusting belief formation, due to the lack of prior interactions with an RA, consumers look for any cues or information about the RA to evaluate it [24].”
- Web Acceptance Model (WAM): Moderating effects of user experience (2007, methodology): “[24] tested the moderating effect of experience by the TAM model applied to an online store.”
- Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users (2011, background): “Integrating Technology Addiction with Intended Use Given its viability across contexts (King et al. 2006) and stages of use, from early adoption to postadoption (Kim et al. 2009), an extended Technology Acceptance Model (TAM) was chosen as the reasoned decision making nomological network of percepti”
- Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites. (2009, background): “Here, the perceived ease of use (Gefen et al., 2003; Koufaris & Hampton-Sosa, 2004) and perceived usefulness (Koufaris & Hampton-Sosa, 2004) appeared to be important determinants in the formation of perceived eTrust, which again influenced overall attitude (Jarvenpaa et al.”
- Antecedents and outcomes of strategic IS alignment: an empirical investigation (2006, background): “, [5], [24]), although studies involving laboratory experiments typically report higher values, potentially due to the greater control over variables not included in the model.”
- COVID-19: fear appeal favoring purchase behavior towards personal protective equipment (2020, background): “These characteristics are found to increase customer e-loyalty and positive purchase behavior (Cyr et al., 2007; Gefen et al., 2003; Mäntymäki & Salo, 2010).”
- Trust disposition, trust antecedents, trust, and behavioral intention (2015, methodology): “In addition to trust, we specifically study trust antecedents (Gefen et al., 2003b), including knowledge-based trust (familiarity with vendors), institutional-based trust (structural assurance, situational normality), and calculative-based trust, and their effects on trust formation.”
- From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers' purchase intention (2010, methodology): “Different from trust in online stores or systems (Gefen 2000), trust in the online vendor (Gefen et al. 2003b), or trust in online shopping or e-commerce (Lee and Turban 2001) that previous research examined, trust in VCs can also be understood as interpersonal trust (Ridings et al. 2002).”