The 5th International Conference on Modern Management based on Big Data (MMBD2024)

Abstract: Master Data Management (MDM) is an approach for effective management of shared master data across organizations. MDM consolidates and integrates master data from multiple organizations to the central platform and publishes the centralized data to the authorized applications across different organizations. In the Malaysian public sector, few MDM initiatives have been developed, however, the adoption by local government remains slow. In addition, there have been limited studies on the MDM adoption. Hence, research is needed to investigate determinants that influence the MDM adoption by local government. This research already developed a model of determinants that influence the MDM adoption by local government. The research started with the identification of problem and knowledge gaps by reviewing existing MDM literature and MDM adoption reports in Malaysia. Then, two Systematic Literature Review (SLR) were conducted to identify potential determinants influencing the MDM adoption by local government. Based on the SLR results and with the underpinning theory of Technology-Organization-Environment framework, Diffusion of Innovation and Fit-Viability Model, a conceptual model was developed and verified by several experts. Next, a survey instrument was developed through content validity test with experts and was pilot test with a set of respondents. Subsequently, data collection was conducted from local government department units in Malaysia and several responses were analysed to validate the conceptual model using Partial Least Square-Structured Equation Modelling analysis. Overall, this research contributes to the theoretical, contextual and practical knowledge of MDM and information technology adoption in the context of Malaysia local government.
Keyword: Master data management, Data centralization, IT adoption, Local government, Technology-Organization-Environment framework

Biography: Nazri Kama is a Full Professor in Software Engineering at Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM). He obtained a Bachelor Degree in Computer Science (Database Management) and a Master Degree in Real-time Software Engineering from UTM. He received his Doctoral Degree from University of Western Australia, Australia in the areas of Software Engineering.
He has been working on research covering software engineering, requirements engineering, data management, data analytics and electric vehicle charging infrastructure technology. He successfully obtained many research funding not only from his university but also from local industries such as Maritime Institute of Malaysia, Majlis Agama Islam Selangor and etc. His research output has included many high quality academic quartile journals, research awards, invited keynote speeches, international and local exhibitions, and numerous government demonstrations such as Ministry of Science, Technology and Innovation (MOSTI), Ministry of Higher Education Malaysia (MoHE) on his research product namely Universal Electric Vehicle Charger and Electric Vehicle Central Management System Infrastructure.