Individual Swift Trust and Knowledge-Based Trust in Face-to-Face and Virtual Team Members
By Lionel P. Robert Jr., Alan R. Dennis, Yu-Ting Caisy Hung. Journal of Management Information Systems, 2009
500 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Social Psychology
View Paper: https://www.semanticscholar.org/paper/2c4f75f40f28784d6643f580a8456345df61db9e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Frederike Hibben
- Ana Cristina Costa
- Neil Anderson
- Ola Henfridsson
- Ali Sunyaev
- Sebastian Lins
- Scott Thiebes
- Guido Hertel
In Information Systems and Management
In Social Psychology
- Frederike Hibben
- Ana Cristina Costa
- Neil Anderson
- Ola Henfridsson
- Guido Hertel
- Ashley Fulmer
- Joachim Hüffmeier
- Christina Breuer
Citations in the corpus
- Trust in work teams: An integrative review, multilevel model, and future directions (2018, background): “Ability and integrity showed the greatest influence on trust in teams in the case of temporary work teams (Aubert & Kelsey, 2003; Jarvenpaa et al., 1998; Robert et al., 2009) supporting the argument that benevolence is less important to short-term performance teams (Meyerson et al., 1996).”
- Trustworthy artificial intelligence (2020, background): “First, trust in a specific person or organization (a moral and volitional agent) (Lankton et al. 2015; McKnight et al. 2011), such as trust in an e-vendor (Gefen et al. 2003) or virtual team members (Robert et al. 2009).”
- Trust in teams: A taxonomy of perceived trustworthiness factors and risk-taking behaviors in face-to-face and virtual teams (2020, background): “Other studies, particularly of virtual teams (e.g. Iacono and Weisband, 1997; Robert et al., 2009), have built on the theory of swift trust by Meyerson and colleagues (1996).”
- Introduction - Platforms and Infrastructures in the Digital Age (2018, background): “Still, the possibilities created by blockchain should drive a re-examination of existing research on trust on virtual teams and online digital transactions, whether it is knowledge-based or swift trust (Crisp and Jarvenpaa 2013, Robert et al. 2009).”
- Explanations and Expectations: Trust Building in Automated Vehicles (2018, background): “Humans have learned to trust agents that behave in an expected or predictable manner [9].”