No open-access location is known for this record yet.
No open-access location is known for this record yet.
Purpose This paper aims to explore existing performance measurement (PM) practices in Malaysian public housing, specifically focusing on tenancy management operational practices and PM initiatives, thereby contributing valuable insights to this under-researched area. Design/methodology/approach This study employed a qualitative research approach, utilizing open-ended interviews to gather insights. To enhance the validity and reliability of the data, a purposive sampling technique was applied, selecting experts based on predefined criteria. Thematic analysis was used to analyze the interview data, extracting meaningful themes and providing a comprehensive understanding of PM practices in Malaysian public housing. Findings The findings reveal significant disparities in PM practices across different states in Malaysia. While some public housing entities have established their own key performance indicators, others lack structured frameworks, leading to inconsistencies in monitoring and effectiveness. The discrepancy highlights the need for a more uniform approach to ensure transparency and reliability in PM. Originality/value This study provides unique insights into the current state of PM, particularly in the context of tenancy management, which has been underexplored. By employing qualitative methods and thematic analysis, the research offers a nuanced understanding of the challenges and gaps in PM. It highlights significant disparities across different states and identifies key areas for improvement. These findings underscore its potential to inform and transform PM practices in Malaysian public housing, paving the way for more standardized and effective PM practices in the future.
Loading…
Stored only when both papers are in the corpus — 4 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.