03840nam a2200289 4500 260506t2025 bx d|||g m||| 00| 0 eng d Universiti Teknologi Brunei eng UTB UTB 120 REPORT THESIS & DISSERTATION RTDS 431 Dayangku Nurul Zahidah Binti Pengiran Ismail, author. Enchancing Organisational Quality Potential with Digital Maturity, Big Data and TQM: A Case Study of the Ministry of Development, Brunei Darussalam / Dayangku Nurul Zahidah Binti Pengiran Ismail Bandar Seri Begawan : Universiti Teknologi Brunei, ©2025. xliii, 629 pages : charts, photos ; 30 cm Thesis Submitted in Fulfillment of the Requirements for the degree of Doctor of Philosophy ABSTRACT In the digital era, public sector organisations are under increasing pressure to modernise operations, enhance service delivery, and ensure continuous quality improvement. While many governments have embraced digital initiatives, the integration of digital maturity and data capabilities into quality management systems remains underexplored, especially in developing countries. This study aims to examine the interconnected roles of Digital Maturity (DM), Big Data (BD), and Total Quality Management (TQM) in enhancing organisational performance, using the Ministry of Development (MoD), Brunei Darussalam, as a single case study. The research is grounded in the Resource-Based View (RBV) and extends existing frameworks by developing and testing a comprehensive model comprising five digital maturity dimensions, eight big data, and eight TQM practices. A mixed-methods research design was employed. Quantitatively, survey data were collected from 468 employees across MoD departments and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS. Qualitatively, expert interviews were conducted to gain deeper insights into digital implementation challenges, contextual factors, and governance dynamics. The interview data were analysed thematically and triangulated with quantitative findings. The findings reveal that digital maturity significantly influences the development of big data capabilities, particularly in areas such as data quality, system integration, and environmental readiness. In turn, big data dimensions play a crucial mediating role in strengthening TQM practices, including leadership, strategic planning, continuous improvement, and employee involvement. Differences between executives and employees' perspectives are also highlighted, revealing top-down and bottom-up dynamics in public sector transformation. This study contributes to the literature by proposing an integrated DM-BD-TQM framework tailored to public organisations. It addresses key gaps in understanding how digital and data capabilities can be strategically aligned to achieve quality excellence. The research also provides practical recommendations for policy-makers and public sector [9:58 AM, 5/6/2026] ~: leaders to develop targeted interventions that enhance digital governance, data utilisation, and quality practices within government institutions. Thesis (PHD) - Universiti Teknologi Brunei, 2025 Thesis Universiti Teknologi Brunei Final Year Report Universiti Teknologi Brunei Total Quality Managemant Brunei Big Data Management Public administrations Data Processing Brunei Shahid Anjum, Dr, Supervisor. Fahmi Ibrahim, Dr. Supervisor. lc 0 RTDS Reports, Thesis & Dissertation 850649 : 002484 c.1_UTB Universiti Teknologi Brunei 24068 24068 0 0 lc 0 0 UTB UTB Level 2 2025-08-27 University Teknologi Brunei Library 0 UTB 120 REPORT THESIS & DISSERTATION, RTDS 431 850649 2026-05-06 2025-08-27 RTDS Reg. No. 002484_UTB [RTDS 431]