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Authors: Jukka Huhtamäki 1 and Thomas Olsson 2

Affiliations: 1 Tampere University of Technology, Korkeakoulunkatu 8, Tampere and Finland ; 2 University of Tampere, Kanslerinrinne 1, Tampere and Finland

Keyword(s): Social Matching, Digital Ecosystem, Knowledge Management, Human Resources, Collaboration, Decision-Support Systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Social Networks and the Psychological Dimension ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Huhtamäki, J. and Olsson, T. (2018). Digital Social Matching Ecosystem for Knowledge Work. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 194-199. DOI: 10.5220/0006950301940199

@conference{kmis18,
author={Jukka Huhtamäki. and Thomas Olsson.},
title={Digital Social Matching Ecosystem for Knowledge Work},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS},
year={2018},
pages={194-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006950301940199},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KMIS
TI - Digital Social Matching Ecosystem for Knowledge Work
SN - 978-989-758-330-8
IS - 2184-3228
AU - Huhtamäki, J.
AU - Olsson, T.
PY - 2018
SP - 194
EP - 199
DO - 10.5220/0006950301940199
PB - SciTePress