%0 Conference Proceedings
%T Big Data Analytics Affordances for Social Innovation: A Theoretical Framework
%+ University of Agder (UIA)
%+ Norwegian University of Science and Technology [Trondheim] (NTNU)
%+ University of South-Eastern Norway (USN)
%A Pappas, Ilias, O.
%A Thapa, Devinder
%Z Part 2: AI and Analytics Decision Making
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 20th Conference on e-Business, e-Services and e-Society (I3E)
%C Galway, Ireland
%Y Denis Dennehy
%Y Anastasia Griva
%Y Nancy Pouloudi
%Y Yogesh K. Dwivedi
%Y Ilias Pappas
%Y Matti Mäntymäki
%I Springer International Publishing
%3 Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
%V LNCS-12896
%P 144-149
%8 2021-09-01
%D 2021
%R 10.1007/978-3-030-85447-8_13
%K Affordance theory
%K Big data analytics
%K Social entrepreneur
%K Social innovation
%K Institutional support
%K Institutional void
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X This paper proposes a theoretical framework to identify the mechanisms by which actors perceive the affordances of big data analytics (BDA) and how institutional voids and supports enable or hinder the actualisation of those perceived affordances. In doing so, we contribute to identifying the missing link needed to understand the social innovation process in relation to BDA. The framework paves the ground towards understanding the institutionalization process of social innovation and its implications for research and practice.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-03648161/document
%2 https://inria.hal.science/hal-03648161/file/512902_1_En_13_Chapter.pdf
%L hal-03648161
%U https://inria.hal.science/hal-03648161
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-LNCS-12896