6533b855fe1ef96bd12b1aab

RESEARCH PRODUCT

Big Data Analytics Affordances for Social Innovation: A Theoretical Framework

Devinder ThapaIlias O. Pappas

subject

Knowledge managementRelation (database)Process (engineering)business.industryInstitutionalisationBig dataSocial innovationSociologyAffordancebusinessInstitutional support

description

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.

yearjournalcountryeditionlanguage
2021-01-01
https://doi.org/10.1007/978-3-030-85447-8_13