Table of contents - Special Issue: The Value, Risks and Myths of Public Sector Data Analytics
Guest Editors: Uthayasankar Sivarajah, Kamran Mahroof, Marijn Janssen
Research challenges for the use of big data in policy-making
Francesco Mureddu, Juliane Schmeling, Eleni KanellouThis paper aims to present pertinent research challenges in the field of (big) data-informed policy-making based on the research, undertaken within the course of the European…
Effective and efficient usage of big data analytics in public sector
Mohammad I. Merhi, Klajdi BreguThis study aims to achieve three goals: present a holistic, flexible and dynamic model; define the model’s factors and explain how these factors lead to effective and efficient…
Uncertain risk: assessing open data signals
Anne L. WashingtonOpen data resources contain few signals for assessing their suitability for data analytics. The purpose of this paper is to characterize the uncertainty experienced by open data…
Artificial intelligence-based public sector data analytics for economic crisis policymaking
Euripidis N. Loukis, Manolis Maragoudakis, Niki KyriakouPublic sector has started exploiting artificial intelligence (AI) techniques, however, mainly for operational but much less for tactical or level tasks. The purpose of this study…
One study, four cities: information impact in neighborhood economic development
Jeffrey CarrollThe purpose of this study is to create a theory on how a commissioned study impacts the decision-making of local government officials.
Big data maturity models for the public sector: a review of state and organizational level models
Aras Okuyucu, Nilay YavuzDespite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the…
ISSN:
1750-6166Online date, start – end:
2007Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Anna Visvizi