Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
The media equation: how people treat computers, television, and new media like real people and places
Communications of the ACM
Consumer trust in an Internet store
Information Technology and Management
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
IT acceptance: managing user—IT group boundaries
ACM SIGMIS Database
Human resource information systems (HRIS) and technology trust
Journal of Information Science
Prioritizing Web Usability
An Extended Privacy Calculus Model for E-Commerce Transactions
Information Systems Research
A Trust Model for Consumer Internet Shopping
International Journal of Electronic Commerce
Individual Trust in Online Firms: Scale Development and Initial Test
Journal of Management Information Systems
Internet social network communities: Risk taking, trust, and privacy concerns
Computers in Human Behavior
Journal of Management Information Systems
In Justice We Trust: Predicting User Acceptance of E-Customer Services
Journal of Management Information Systems
Journal of Management Information Systems
Trust and TAM in online shopping: an integrated model
MIS Quarterly
Second-Order Constructs in Structural Equations: Perceived Value and Trust
International Journal of Online Marketing
Hi-index | 0.00 |
Researchers have recently studied technology trust in terms of the technological artifact itself. Two different kinds of trusting beliefs could apply to a website artifact. First, the trusting beliefs may relate to the interpersonal characteristics--competence, integrity, and benevolence. Second, they may relate to corresponding technology characteristics--functionality, reliability, and helpfulness. Since social networking websites like Facebook may demonstrate either interpersonal or technology trust characteristics, researchers may need to carefully choose the beliefs to model. Thus it is important to understand not only the conceptual meaning of these beliefs, but also whether human and technology trust beliefs are distinct. Using data collected from 362 university-student Facebook users, we test two second-order factor structures that represent alternative ways to model the three interpersonal and three technology trust beliefs. We find that the best-fitting measurement model depicts the three conceptually-related pairs of trust beliefs (competence-functionality, integrity-reliability, and benevolence-helpfulness) as three distinct second-order factors. This model outperformed the model splitting trusting beliefs into separate interpersonal and technology second-order factors. The results show people distinguish among three types of conceptually-related trust attributes, and that they trust Facebook as both a technology and a quasi-person. These second-order trust factors can be used in future research to better understand social networking trust and usage continuance intentions