Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30953
Appears in Collections:Management, Work and Organisation Journal Articles
Peer Review Status: Refereed
Title: The value of Big Data in government: The case of 'smart cities'
Author(s): Löfgren, Karl
Webster, C William R
Contact Email: william.webster@stir.ac.uk
Keywords: Big Data
smart cities
public value chain
value chain analysis
eGovernment
privacy
Issue Date: Jun-2020
Citation: Löfgren K & Webster CWR (2020) The value of Big Data in government: The case of 'smart cities'. Big Data and Society, 7 (1). https://doi.org/10.1177/2053951720912775
Abstract: The emergence of Big Data has added a new aspect to conceptualizing the use of digital technologies in the delivery of public services and for realizing digital governance. This article explores, via the ‘value-chain’ approach, the evolution of digital governance research, and aligns it with current developments associated with data analytics, often referred to as ‘Big Data’. In many ways, the current discourse around Big Data reiterates and repeats established commentaries within the eGovernment research community. This body of knowledge provides an opportunity to reflect on the ‘promise’ of Big Data, both in relation to service delivery and policy formulation. This includes, issues associated with the quality and reliability of data, from mixing public and private sector data, issues associated with the ownership of raw and manip- ulated data, and ethical issues concerning surveillance and privacy. These insights and the issues raised help assess the value of Big Data in government and smart city environments.
DOI Link: 10.1177/2053951720912775
Rights: https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Licence URL(s): http://creativecommons.org/licenses/by-nc/4.0/

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