A Multi-Stakeholder Information Model to Drive Process Connectivity In Smart Buildings

Ghneim, Miftah A. (2023) A Multi-Stakeholder Information Model to Drive Process Connectivity In Smart Buildings. Doctoral thesis, Birmingham City University.

Miftah Ghneim PhD Thesis published_Final version_Submitted May 2023_Final Award Sept 2023.pdf - Accepted Version

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Smart buildings utilise IoT technology to provide stakeholders with efficient, comfortable, and secure experiences. However, previous studies have primarily focused on the technical aspects of it and how it can address specific stakeholder requirements. This study adopts socio-technical theory principles to propose a model that addresses stakeholders' needs by considering the interrelationship between social and technical subsystems. A systematic literature review and thematic analysis of 43 IoT conceptual frameworks for smart building studies informed the design of a comprehensive conceptual model and IoT framework for smart buildings.

The study's findings suggest that addressing stakeholder requirements is essential for developing an information model in smart buildings. A multi-stakeholder information model integrating multiple stakeholders' perspectives enhances information sharing and improves process connectivity between various systems and subsystems. The socio-technical systems framework emphasises the importance of considering technical and social aspects while integrating smart building systems for seamless operation and effectiveness.

The study's findings have significant implications for enhancing stakeholders' experience and improving operational efficiency in commercial buildings. The insights from the study can inform smart building systems design to consider all stakeholder requirements holistically, promoting process connectivity in smart buildings. The literature analysis contributed to developing a comprehensive IoT framework, addressing the need for holistic thinking when proposing IoT frameworks for smart buildings by considering different stakeholders in the building.

Item Type: Thesis (Doctoral)
31 May 2023Submitted
12 September 2023Accepted
Uncontrolled Keywords: Smart Buildings, IoT, IoT Frameworks, Soft Systems Analysis, Socio-Technical Systems, Systems Thinking
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
CAH11 - computing > CAH11-01 - computing > CAH11-01-03 - information systems
Divisions: Doctoral Research College > Doctoral Theses Collection
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Jaycie Carter
Date Deposited: 29 Nov 2023 16:14
Last Modified: 29 Nov 2023 16:14
URI: https://www.open-access.bcu.ac.uk/id/eprint/15025

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