Judging Expertise--WIM at Enterprise

Judging, Expertise, and the Rule of Law

Collaborative Tagging and Expertise in the Enterprise

Enterprise communication applications rely on automated reasoning about factors such as expertise for connecting people. Quantifying expertise is necessary for such applications because of the time constraints imposed by communications routing. This paper discusses the potential for collaborative tagging in the enterprise and how it enables the formation of social networks around tags or topics...

Automatic People Tagging for Expertise Profiling in the Enterprise

In an enterprise search setting, there is a class of queries for which people, rather than documents, are desirable answers. However, presenting users with just a list of names of knowledgeable employees without any description of their expertise may lead to confusion, lack of trust in search results, and abandonment of the search engine. At the same time, building a concise meaningful descript...

Knowledge Dynamics and Domain Expertise in Enterprise Information Systems Implementation: An Introductory Study

Enterprise Information Systems (EIS) have become the core information processing architecture of large businesses. This study examines the role of Knowledge Social Networks (KSN) in facilitating EIS-related knowledge acquisition accounting for the domain expertise of knowledge sources, its interplay with user task complexity, and their impact on EIS implementation. While research on KSNs has co...

A Theory of Banks' Industry Expertise, Market Power, and Credit Risk

I analyze banks’ incentives to acquire expertise in judging the credit-worthiness of borrowers in an industry with uncertain business conditions. The optimal industrial organization of bank lending features several banks with industry expertise, as well as a competitive fringe of banks without such expertise. The analysis provides a foundation for analyzing the relative merits of focus vs. dive...