Big data analytics, resource orchestration, and digital sustainability: A case study of smart city development

Dan Zhang, L. G. Pee, Shan L. Pan, Lili Cui*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

74 Citations (Scopus)

Abstract

Smart cities are expected to improve the efficiency and effectiveness of urban management, including public services, public security, and environmental protection, and to ultimately achieve Sustainable Development Goal (SDG) 11 for making cities inclusive, safe, resilient, and sustainable. Big data have been identified as a key enabler in the development of smart cities. However, our understanding of how different data sources should be managed and integrated remains limited. By analyzing data applications in the development of a sustainable smart city, this case study identified three phases of development, each requiring a different approach to orchestrating diverse data sources. A framework identifying the phases, data-related issues, data orchestration and its interaction with other resources, focal capabilities, and development approaches is developed. This study benefits both researchers and practitioners by making theoretical contributions and by offering practical insights in the fields of smart cities and big data.

Original languageEnglish
Article number101626
JournalGovernment Information Quarterly
Volume39
Issue number1
DOIs
Publication statusPublished - Jan 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021

ASJC Scopus Subject Areas

  • Sociology and Political Science
  • Library and Information Sciences
  • Law

Keywords

  • Big data
  • Digital sustainability
  • Resource orchestration
  • Smart city
  • Socio-technical issues

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