Risk management in sustainable smart cities governance: a TOE framework

Ullah, Fahim ORCID: https://orcid.org/0000-0002-6221-1175 and Qayyum, Siddra and Thaheem, Muhammad Jamaluddin and Al-Turjman, Fadi and Sepasgozar, Samad M.E. (2021) Risk management in sustainable smart cities governance: a TOE framework. Technological Forecasting and Social Change, 167:120743. ISSN 0040-1625


Abstract

Sustainable smart cities are confronted by technological, organisational and external risks, making their governance difficult and susceptible to manipulation. Based on a comprehensive literature review of 796 sys-tematically retrieved articles, the current study proposes a multilayered technology-organisation-environment (TOE-based) risk management framework for sustainable smart city governance. A total of 56 risks are identi-fied and grouped into TOE categories. There are 17 technological risks, including IoT networks, public internet management and user safety concerns, with a 38.7% contribution to smart city governance risks. With a 15.6% share, there are 11 organisational risks, including user data security and cloud management. There are 28 external risks with a contribution of 46.7% to the smart city governance and consist of smart city’s environment, governance, integration and security risks. A multilayered TOE-based risk management framework is proposed to identify and manage the risks associated with smart city governance in the current study. The framework links smart citizens to each other through the smart city governance team and the integrated TOE layers. The iterative risk management process of identification, analysis, evaluation, monitoring and response planning is carried out in the TOE layers, both at the external layer levels and internal management levels. The proposed framework operationalises the risk management process for smart city governance by presenting the collection of pertinent risks and their thematic TOE categorisation. The criticality of the identified risks in line with the study’s rankings can help researchers and practitioners understand the top risks of smart city governance. These risks present investment opportunities for city governance bodies to develop critical and effective responses as well as provide safety, security and enhanced privacy for citizens.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 30 Jul 2021 05:59
Last Modified: 23 Aug 2022 05:21
Uncontrolled Keywords: smart city; sustainability; risk management; smart city governance; technology-organisation-environment (TOE) framework
Fields of Research (2008): 12 Built Environment and Design > 1299 Other Built Environment and Design > 129999 Built Environment and Design not elsewhere classified
12 Built Environment and Design > 1205 Urban and Regional Planning > 120599 Urban and Regional Planning not elsewhere classified
12 Built Environment and Design > 1202 Building > 120201 Building Construction Management and Project Planning
Fields of Research (2020): 33 BUILT ENVIRONMENT AND DESIGN > 3399 Other built environment and design > 339999 Other built environment and design not elsewhere classified
33 BUILT ENVIRONMENT AND DESIGN > 3302 Building > 330202 Building construction management and project planning
33 BUILT ENVIRONMENT AND DESIGN > 3304 Urban and regional planning > 330499 Urban and regional planning not elsewhere classified
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9699 Other Environment > 969999 Environment not elsewhere classified
Socio-Economic Objectives (2020): 12 CONSTRUCTION > 1204 Construction planning > 120499 Construction planning not elsewhere classified
12 CONSTRUCTION > 1204 Construction planning > 120406 Urban planning
Identification Number or DOI: https://doi.org/10.1016/j.techfore.2021.120743
URI: http://eprints.usq.edu.au/id/eprint/42586

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