TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Facilitating organisational fluidity with computational social matching

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoSociety as an interaction space: a systemic approach
ToimittajatHanna Lehtimäki, Petri Uusikylä, Anssi Smedlund
KustantajaSpringer Singapore
Sivut229-245
Sivumäärä17
ISBN (elektroninen)978-981-15-0069-5
ISBN (painettu)978-981-15-0068-8
DOI - pysyväislinkit
TilaJulkaistu - maaliskuuta 2020
OKM-julkaisutyyppiA3 Kirjan tai muun kokoomateoksen osa

Julkaisusarja

NimiTranslational systems sciences
ISSN (elektroninen)2197-8832

Tiivistelmä

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.

Julkaisufoorumi-taso