The effects of demographic variables on Master Data Quality Management to improve service delivery

Studies have been conducted in an attempt to address the roles of Master Data Quality Management (MDQM) to improve service delivery. However, many of these studies concentrated on data quality dimensions and technical issues rather than addressing MDQM in a holistic manner. They lacked proper guidance on how the demographic variables could affect the improvement of service delivery through master data. This study contributes theoretically by filling the gap of the MDQM factors that specifically influence service delivery improvement and practically by identifying the effects of demographic variables that can be used not only by government departments but also by other organizations to make decisions relating to the improvement of master data quality management, as well as enhancing service delivery. This study recommends that future research should investigate the interacting effects for moderating factors that may have influence on users' perceptions towards technology as time varies. The study also recommends the use of a mixed methods approach or the triangulation of data collection and analysis methods to give a more holistic view of the influence of MDQM on service delivery.

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