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ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on Internet of Things-enabled smart cities. Using and replicating data from Bloomberg Intelligence, ESI ThoughtLab, Frost & Sullivan, KPMG, and McKinsey, we performed analyses and made estimates regarding big data-driven decision-making processes in the knowledge-based urban economy. Data were analyzed using structural equation modeling.

Keywords: smart; city; big data; urban economy; Internet of Things; decision-making

How to cite: Watson, A., Musova, Z., Machova, V., and Rowland, Z. (2020). “Internet of Things-enabled Smart Cities: Big Data-driven Decision-Making Processes in the Knowledge-based Urban Economy,” Geopolitics, History, and International Relations 12(1): 94–100. doi:10.22381/GHIR12120209

Received 7 March 2020 • Received in revised form 20 June 2020
Accepted 22 June 2020 • Available online 27 June 2020

Alexander Watson
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The Cyber-Physical Production Networks
Research Unit at AAER, Wellington, New Zealand
(corresponding author)
Zdenka Musova
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Faculty of Economics, Matej Bel University,
Banska Bystrica, Slovak Republic
Veronika Machova
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Faculty of Business Administration,
University of Economics,
Prague, Czech Republic
Zuzana Rowland
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The Institute of Technology and Business in Ceske Budejovice,
The School of Expertness and Valuation, Czech Republic

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