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Digital Social Matching Ecosystem for Knowledge Work

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Digital Social Matching Ecosystem for Knowledge Work. / Huhtamäki, Jukka; Olsson, Thomas.

Proceedings of the 10th International Conference on Knowledge Management and Information Sharing. SCITEPRESS, 2018. p. 194-199.

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

Harvard

Huhtamäki, J & Olsson, T 2018, Digital Social Matching Ecosystem for Knowledge Work. in Proceedings of the 10th International Conference on Knowledge Management and Information Sharing. SCITEPRESS, pp. 194-199, International Conference on Knowledge Management and Information Sharing, 18/09/18. https://doi.org/10.5220/0006950301940199

APA

Huhtamäki, J., & Olsson, T. (2018). Digital Social Matching Ecosystem for Knowledge Work. In Proceedings of the 10th International Conference on Knowledge Management and Information Sharing (pp. 194-199). SCITEPRESS. https://doi.org/10.5220/0006950301940199

Vancouver

Huhtamäki J, Olsson T. Digital Social Matching Ecosystem for Knowledge Work. In Proceedings of the 10th International Conference on Knowledge Management and Information Sharing. SCITEPRESS. 2018. p. 194-199 https://doi.org/10.5220/0006950301940199

Author

Huhtamäki, Jukka ; Olsson, Thomas. / Digital Social Matching Ecosystem for Knowledge Work. Proceedings of the 10th International Conference on Knowledge Management and Information Sharing. SCITEPRESS, 2018. pp. 194-199

Bibtex - Download

@inproceedings{7145820f69244da2a5e0f4411ae9230c,
title = "Digital Social Matching Ecosystem for Knowledge Work",
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.",
author = "Jukka Huhtam{\"a}ki and Thomas Olsson",
year = "2018",
month = "9",
day = "18",
doi = "10.5220/0006950301940199",
language = "English",
pages = "194--199",
booktitle = "Proceedings of the 10th International Conference on Knowledge Management and Information Sharing",
publisher = "SCITEPRESS",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Digital Social Matching Ecosystem for Knowledge Work

AU - Huhtamäki, Jukka

AU - Olsson, Thomas

PY - 2018/9/18

Y1 - 2018/9/18

N2 - 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.

AB - 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.

U2 - 10.5220/0006950301940199

DO - 10.5220/0006950301940199

M3 - Conference contribution

SP - 194

EP - 199

BT - Proceedings of the 10th International Conference on Knowledge Management and Information Sharing

PB - SCITEPRESS

ER -