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Facilitating organisational fluidity with computational social matching

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


Original languageEnglish
Title of host publicationSociety as an interaction space: a systemic approach
EditorsHanna Lehtimäki, Petri Uusikylä, Anssi Smedlund
PublisherSpringer Singapore
Number of pages17
ISBN (Electronic)978-981-15-0069-5
ISBN (Print)978-981-15-0068-8
Publication statusPublished - Mar 2020
Publication typeA3 Part of a book or another research book

Publication series

NameTranslational systems sciences
ISSN (Electronic)2197-8832


Striving to operate in increasingly dynamic environments, organisations can be seen as fluid and communicative entities where traditional boundaries fade away and collaborations emerge ad hoc. To enhance fluidity, we conceptualise computational social matching as a research area investigating how to digitally support the development of mutually suitable compositions of collaborative ties in organisations. In practice, it refers to the use of data analytics and digital methods to identify features of individuals and the structures of existing social networks and to offer automated recommendations for matching actors. In this chapter, we outline an interdisciplinary theoretical space that provides perspectives on how interaction can be practically enhanced by computational social matching, both on the societal and organisational levels. We derive and describe three strategies for professional social matching: social exploration, network theory-based recommendations, and machine learning-based recommendations.

Publication forum classification

Field of science, Statistics Finland