Dyadic attribution model
A mechanism to assess trustworthiness in virtual organizations
Bibliographic Data
| ID | 19169151 |
|---|---|
| Authors | Shuyuan Mary Ho (0000-0002-4790-1821, School of Information, College of Communication and Information Florida State University 142 Collegiate Loop Tallahassee FL 32306‐2100, corresponding author), Izak Benbasat (0000-0002-9731-3403, Management Information Systems Division, Sauder School of Business University of British Columbia 2053 Main Mall Vancouver British Columbia Canada V6T 1Z2) |
| Year | 2014 |
| Volume | 65 |
| Issue | 8 |
| Pages | 1555-1576 |
| Publication date | 2014-03-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of the Association for Information Science and Technology (JOURNAL) |
| Journal identifiers | ISSN: 2330-1635 • E-ISSN: 2330-1643 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/asi.23074 |
| OpenAlex | W2099839749 |
| Language | EN |
| References cited | 60 |
Language as a symbolic medium plays an important role in virtual communications. In a primarily linguistic environment such as cyberspace, words are an expressed form of intent and actions. We investigate the functions of words and actions in identifying behavioral anomalies of social actors to safeguard the virtual organization. Social actors are likened to “sensors” as they observe changes in a focal individual's behavior during computer‐mediated communications. Based on social psychology theories and pragmatic views of words and actions in online communications, we theorize a dyadic attribution model that helps make sense of anomalous behavior in creative online experiments. This model is then tested in an experiment. Findings show that observation of the behavioral differences between words and actions, based on either external or internal causality, can offer increased ability to detect the compromised trustworthiness of observed individuals—possibly leading to early detection of insider threat potential. The dyadic attribution model developed in this sociotechnical study can function to detect behavioral anomalies in cyberspace, and protect the operations of a virtual organization
Anonymity · Attribution · Cognitive psychology · Cognitive science · Computer security · Cyberspace · Epistemology · Knowledge management · Sociotechnical system · The Internet · Trustworthiness · World Wide Web · Complex Network Analysis Techniques · Computer Science · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Psychology · Social Psychology
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| Citation velocity | historical |
|---|---|
| Highly cited | No |