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Big Data and Analytics as Strategies to Generate Public Value in Smart Cities: Proposing an Integrative Framework

  • Felippe Cronemberger
  • J. Ramon Gil-GarciaEmail author
Chapter
Part of the Public Administration and Information Technology book series (PAIT, volume 35)

Abstract

What is the path to smarter cities that can make data-driven decisions? In a context where data have been vastly advertised as a solution to many problems, the application of big data analytics (BDA) in government is a trending topic. As a topic and potential strategy, data is on the agenda of researchers and policy-makers worldwide, based on the hope that the use of data and technology could enable better quality of life in communities and cities. This chapter analyzes the potential of BDA for local governments, particularly in the context of smart city initiatives. The chapter also proposes an integrative framework to better understand all the components of these concepts and their interrelationships. The overall goal is to discuss what it means to cities to use data in practice, what challenges could be anticipated, and how some of those challenges could be mitigated. This will also contribute to a better explanation of the role of information sharing, integration, and collaboration in BDA and its potential to generate public value in smart city initiatives.

Keywords

Smart cities Big data Data analytics Information sharing Information integration Public value 

Notes

Acknowledgements

The authors would like to thank CAPES and the Office of Graduate Studies at the University at Albany, which provided partial funding for this research. The opinions expressed in this chapter are those of the authors and do not necessarily reflect the official views of CAPES or the University at Albany.

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University at Albany, State University of New YorkAlbanyUSA
  2. 2.Universidad de las Americas PueblaSan Andrés CholulaMexico

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