Browsing by Author "Awuzie, Bankole Osita"

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    Modelling Organisational Factors Influencing Sustainable Development Implementation Performance in Higher Education Institutions: An Interpretative Structural Modelling (ISM) Approach
    (MDPI, 2019-08-09) Abuzeinab, Amal; Awuzie, Bankole Osita
    Globally, higher education institutions (HEIs) have continued to record varied sustainable development (SD) implementation performances. This variance has been attributed to the presence of certain organisational factors. Whereas previous studies have successfully identified the factors influencing the SD implementation performance in HEIs, few studies have attempted to explore the relationship between these factors and the influence of such a relationship on the management of SD implementation in HEIs. This is the objective of this study. Understandably, an understanding of such relationships will facilitate the development of appropriate frameworks for managing SD implementation in HEIs. Relying on a case study of a South African University of Technology (SAUoT), this study elicits data through a focus group discussion session. An interpretative structural modelling (ISM) focus group protocol indicating extant pair-wise relationships between identified organisational factor categories was extensively discussed. The emergent data was recorded, transcribed verbatim and subsequently analysed. The findings suggest that communication was critical to the prevalence of other factors, hence indicating its centrality to the effective management of SD implementation in HEIs. These findings will guide implementing agents in HEIs towards developing appropriate strategies for communicating SD implementation strategies.
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    Towards built environment Decarbonisation: A review of the role of Artificial intelligence in improving energy and Materials’ circularity performance
    (Elsevier, 2024-06-28) Awuzie, Bankole Osita; Alfred Ngowi; Aghimien, Douglas
    Mitigating climate change challenges in the built environment through the decarbonisation of energy and construction materials remains a pressing challenge. The circular economy (CE) has been identified as a critical pathway to achieving this objective. CE promotes the efficient use of resources, extending their lifecycle and minimising their environmental impact using a plethora of methods. The link between CE and decarbonisation becomes evident when the intertwined relationship between materials, energy, and the environment is considered. By reducing waste and ensuring the continuous use of materials and energy resources, CE significantly lowers carbon emissions. This approach is inherently aligned with the overarching goals of the decarbonisation agenda. The emergence of digital technologies such as artificial intelligence (AI) has continued to transform how the built environment activities are conducted and improved. However, the utility of AI models in engendering the actualisation of the decarbonisation agenda through improved circular economy performance within the built environment context remains under-researched. This study addresses this knowledge-practice gap, using a scientometric and scoping analysis of relevant peer-reviewed and grey literature. Findings from the scientometric analysis revealed AI has been explored separately in circular economy and decarbonisation. Yet, studies exploring AI in relation to the circularity performance of the built environment for improved decarbonisation remain scant. The narrative review from the scoping analysis further revealed the usefulness of AI in driving optimal decarbonisation and levels through improved circularity performance of materials and energy across various economic sectors, including the built environment for optimal decision making which in turn, encourages responsible producer and consumer behaviour for improved CE performance.