Why do we trust new technology? A study of initial trust formation with organizational information systems

By Xin Li, Traci J. Hess, J. Valacich. Journal of strategic information systems, 2008

640 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/295d469f3d85441abc7ba60b91bd5bbf7dc62110

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Citations in the corpus

Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) (2018, background): “When individuals have not enough knowledge and actual operation experiences on a technology, they are more likely to rely on the important people’s opinions and incorporate them into trust formation Li et al. (2008).”
An Empirical Examination of Initial Trust in Mobile Banking (2011, background): “Trust propensity has a significant effect on initial trust (Li et al., 2008), although this effect may gradually diminish with increased experience (Zahedi and Song, 2008).”
The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea (2011, result): “With regard to satisfaction, the results of our study are consistent with those of others (Li et al., 2008; Lim & Kim, 2006; McCole, 2002), but this is not the case with trust.”
Understanding Online Community User Participation: A Social Influence Perspective (2011, background): “This argument has received support from extant research (Pavlou and Fygenson, 2006; Li et al., 2008).”
Explanations as Mechanisms for Supporting Algorithmic Transparency (2018, background): “[33], modified to refer to “social media” instead of “information systems”, and averaged together.”
Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique (2010, methodology): “…test for marker variable method variance while also reporting results of theory testing with latent variable structural equation techniques include Li, Hess, and Valacich (2008), Lui (2009), Son and Kim (2008), Sun, Bhattacherjee, and Ma (2009), Wang, Bradford, Xu, and Weitz (2008), and Yang,…”
FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019, background): “Human trust in technology is developed as users overcome perceptions of risk and uncertainty [34], i.e., as they are able to assess the technology’s performance, reliability, safety, and security.”
Increasing Trust in AI Services through Supplier's Declarations of Conformity (2018, background): “Human trust in technology is developed as users overcome perceptions of risk and uncertainty [30], i.e., as they are able to assess the technology’s performance, reliability, safety, and security.”
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, background): “Although tangible but inanimate entities such as technological artifacts (e.g. computer) have been increasingly deemed appropriate trust targets (Li, Hess, & Valacich, 2008), especially when one subscribes to the notion of ‘ computers as social actors ’ imbued with human-like characteristics (Nass,…”