PACIS 2019 Proceedings

Abstract

Expert finding systems assist researchers to automatically find a particular research collaborator. The problem of these systems is that they identify experts based on content of documents linked to the experts (system–centered perspective) and neglect the human interaction perspective, which includes the factors that affect collaborator selection decision in real life. This study examined factors that might affect researchers' decision to collaborate with a particular research collaborator in the university context. Moreover, it investigated how expert finding systems designers can integrate these factors with current expert finding systems in the university context to retrieve the suitable research collaborator. The contribution of this study is the proposed model of collaborator selection criteria which can be integrated with current expert finding systems to improve their effectiveness. The model is based on scientific and technical human capital (STHC) model and social capital theory (SCT).

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