PACIS 2021 Proceedings
Paper Type
RIP
Paper Number
516
Abstract
Big Data and Data Analytics (BDA) are of fast-growing interest to academia and the public sector but there is no widely accepted model showing BDA’s impacts on governments that links organisational readiness and the selected type of BDA tools to the quality of policy-decision making. Drawing from theories of policy-making and information systems, the study treats BDA as a complex phenomenon from the social technical perspective. The expected contributions of this study are: (1) to construct a theoretical model for successful BDA use that could be applied to the practical context of policy-decision making; (2) to provide an understanding of how an organisation can ensure that they have the right BDA readiness level; and (3) to provide theoretical and practical knowledge for selecting appropriate type of BDA tools for enhanced policy decision making in the public sector.
Recommended Citation
Vasilyeva, Olga, "Big Data and Data Analytics for Enhanced Policy Decision Making in the Public Sector" (2021). PACIS 2021 Proceedings. 259.
https://aisel.aisnet.org/pacis2021/259
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