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Glen T Nwaila

Biographic Data

ID4457970
NAMEGlen T Nwaila
GIVEN NAMESGlen T
FAMILY NAMENwaila
SIGNATURENWAILA G T
AFFILIATIONSUniversity of the Witwatersrand
ORCID0000-0002-3974-9890
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Social innovation, ecological crises and creating mining host community resilience in Southern Africa

    Open Access•Nelson Chipangamate, Glen T Nwaila•ARTICLE•The Extractive Industries and…•2025•References: 23

  • A framework for measuring the maturity of real-time information management systems (RTIMS) in the mining industry

    Open Access•Mulundumina Shimaponda-Nawa, Glen T Nwaila et al.•ARTICLE•The Extractive Industries and…•2023•References: 9

    Real-time information management systems (RTIMS) are emerging for the mining industry. RTIMS are created to enable minimal-latency (real-time) of information delivery and usage to enable dynamic and smart decision making. However, being an emerging concept, it is unclear what the target readiness of RTIMS should be. As a result, system owners may face challenges identifying appropriate RTIMS performance models. In this study, RTIMS is treated as …

  • Framework components for data-centric dry laboratories in the minerals industry

    Open Access•Yousef Ghorbani, Steven E Zhang et al.•ARTICLE•The Extractive Industries and…•2022•Cited by: 1•References: 4

    The world continues to experience a surge in data generation and digital transformation. Historic data is increasingly being replaced by modernized data, such as big data, which is regarded as data that exhibits the 5Vs: volume, variety, velocity, veracity and value. The capacity to optimally use and comprehend value from big data has become an indispensable aptitude for modern companies. In contrast to commercial and technology firms, usage, man…

  • Framework components for data-centric dry laboratories in the minerals industry

    Open Access•Yousef Ghorbani, Steven E Zhang et al.•ARTICLE•The Extractive Industries and…•2022•Cited by: 1•References: 4

    The world continues to experience a surge in data generation and digital transformation. Historic data is increasingly being replaced by modernized data, such as big data, which is regarded as data that exhibits the 5Vs: volume, variety, velocity, veracity and value. The capacity to optimally use and comprehend value from big data has become an indispensable aptitude for modern companies. In contrast to commercial and technology firms, usage, man…

  • Framework components for data-centric dry laboratories in the minerals industry

    Open Access•Yousef Ghorbani, Steven E Zhang et al.•ARTICLE•The Extractive Industries and…•2022•Cited by: 1•References: 4

    The world continues to experience a surge in data generation and digital transformation. Historic data is increasingly being replaced by modernized data, such as big data, which is regarded as data that exhibits the 5Vs: volume, variety, velocity, veracity and value. The capacity to optimally use and comprehend value from big data has become an indispensable aptitude for modern companies. In contrast to commercial and technology firms, usage, man…

  • A framework for measuring the maturity of real-time information management systems (RTIMS) in the mining industry

    Open Access•Mulundumina Shimaponda-Nawa, Glen T Nwaila et al.•ARTICLE•The Extractive Industries and…•2023•References: 9

    Real-time information management systems (RTIMS) are emerging for the mining industry. RTIMS are created to enable minimal-latency (real-time) of information delivery and usage to enable dynamic and smart decision making. However, being an emerging concept, it is unclear what the target readiness of RTIMS should be. As a result, system owners may face challenges identifying appropriate RTIMS performance models. In this study, RTIMS is treated as …

  • Social innovation, ecological crises and creating mining host community resilience in Southern Africa

    Open Access•Nelson Chipangamate, Glen T Nwaila•ARTICLE•The Extractive Industries and…•2025•References: 23

Business (3 works) · Computer Science (2 works) · Economics (2 works) · Mining and Resource Management (2 works) · Accounting (1 work) · Big data (1 work) · Biology (1 work) · Capability Maturity Model (1 work) · Commodity (1 work) · Community and Sustainable Development (1 work)

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