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dc.citation.conferencePlace PL -
dc.citation.conferencePlace Poznan; POLAND -
dc.citation.endPage 120 -
dc.citation.startPage 109 -
dc.citation.title 12th International Conference on Business Information Systems -
dc.citation.volume 21 -
dc.contributor.author Koschmider, Agnes -
dc.contributor.author Song, Minseok -
dc.contributor.author Reijers, Hajo A. -
dc.date.accessioned 2023-12-20T04:10:37Z -
dc.date.available 2023-12-20T04:10:37Z -
dc.date.created 2014-05-13 -
dc.date.issued 2009 -
dc.description.abstract Social software is known to stimulate the exchange and sharing of information among peers. This paper describes how all existing system that supports process builders in completing a business process call be enhanced with various social Features. In that way, it is easier for process modeler to become aware of new related content. They call use that content to create, update or extend process models that, they are building themselves. The proposed way of achieving this is to allow users to generate and modify personalized views oil the social networks they are part, of. Furthermore, this paper describes mechanisms for propagating relevant changes between peers in such social networks. The presented work is particularly relevant in the context of enterprises that have already built large repositories of process models. -
dc.identifier.bibliographicCitation 12th International Conference on Business Information Systems, v.21, pp.109 - 120 -
dc.identifier.issn 1865-1348 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/51707 -
dc.identifier.wosid 000267007900010 -
dc.language 영어 -
dc.publisher Poznan Univ Econ, Dept Informat Syst -
dc.title Advanced Social Features in a Recommendation System for Process Modeling -
dc.type Conference Paper -
dc.date.conferenceDate 2009-04-27 -

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