Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Believe it or not: factors influencing credibility on the Web
Journal of the American Society for Information Science and Technology
A Relational View of Information Seeking and Learning in Social Networks
Management Science
More Than an Answer: Information Relationships for Actionable Knowledge
Organization Science
Transactive Memory Systems in Organizations: Matching Tasks, Expertise, and People
Organization Science
Organizational memory information systems: a transactive memory approach
Decision Support Systems - Special issue: Collaborative work and knowledge management
Searching for experts on the Web: A review of contemporary expertise locator systems
ACM Transactions on Internet Technology (TOIT)
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Expertise visualization: an implementation and study based on cognitive fit theory
Decision Support Systems
Transactive memory systems in organizations: Implications for knowledge directories
Decision Support Systems
Data quality assessment in context: A cognitive perspective
Decision Support Systems
Knowledge networks in new product development projects: A transactive memory perspective
Information and Management
Hi-index | 0.00 |
This paper explores the knowledge demands of expertise seekers for the purpose of designing effective expertise locator systems. We conduct an empirical investigation, using conjoint analysis and within-subject tests, to determine the relative importance assigned to different expert attributes under two expertise seeking contexts: knowledge allocation and knowledge retrieval. Our results show that when choosing an expert to retrieve knowledge from (knowledge retrieval), expertise seekers will assign greater importance to the person's level of expertise. When selecting an expert to transfer knowledge to (knowledge allocation), attributes representing the network ties between the expert and the seeker as well as the benevolence of the expert will be perceived as more important. These results are important for the design of expertise locator systems that are better customized to fit the knowledge needs of their users, and to serve the organization as a whole.