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Digital Social Matching Ecosystem for Knowledge Work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Knowledge Management and Information Sharing
Number of pages6
ISBN (Electronic)9789897583308
Publication statusPublished - 18 Sep 2018
Publication typeA4 Article in a conference publication
EventInternational Conference on Knowledge Management and Information Sharing: KMIS -
Duration: 18 Sep 201820 Sep 2018


ConferenceInternational Conference on Knowledge Management and Information Sharing


Knowledge work involves various so-called social matching decisions: who to recruit, who to pair up or team up, who to ask for consultancy, etc. Despite the scale of effects such decisions can have on organizations, social matching activities are little supported by technology. In this position paper, we describe an ongoing venture to develop the enablers and a shared vision for forming digital ecosystems around social matching of knowledge workers. Rather than developing monolithic, organization-specific systems, we argue for an API-based ecosystemic approach that helps co-create value and develop more networked, innovative, and viable business ventures. We elaborate our vision and work-in-progress by presenting requirements for and scenarios of digital ecosystems for social matching in knowledge work.

Publication forum classification

Field of science, Statistics Finland