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Samad M. E. Sepasgozar

Researcher at University of New South Wales

Publications -  148
Citations -  3158

Samad M. E. Sepasgozar is an academic researcher from University of New South Wales. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 23, co-authored 119 publications receiving 1467 citations.

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Implementing citizen centric technology in developing smart cities: A model for predicting the acceptance of urban technologies

TL;DR: This study integrates the substantial literature on Technology Acceptance Modelling into the smart city discourse to begin to address this need and further develops the understanding of technology acceptance using the Structural Equation Modelling Method.
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A scientometric analysis and critical review of construction related ontology research

TL;DR: This study reviews ontology research mainly published in the Scopus database from 2007 to 2017 with the combination of scientometric analysis and critical review to provide an in-depth understanding of existing ontologyResearch and indicates the emerging trends in this research domain.
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A Systematic Review of Digital Technology Adoption in Off-Site Construction: Current Status and Future Direction towards Industry 4.0

TL;DR: This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC.
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Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment

Samad M. E. Sepasgozar
- 02 Apr 2021 - 
TL;DR: This paper aims to clarify the DT concept and differentiate it from other advanced 3D modeling technologies, digital shadows, and information systems, and recommends the development of DT applications that offer rapid and accurate data analysis platforms for real-time decisions, self-operation, and remote supervision requirements post-COVID-19.
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Risk management in sustainable smart cities governance: A TOE framework

TL;DR: A multilayered TOE-based risk management framework is proposed to identify and manage the risks associated with smart city governance in the current study, and the criticality of the identified risks can help researchers and practitioners understand the top risks of smart city Governance.