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Research Article · Free to read · Published 28 February 2010

Key Performance Indicators Supporting Decision-Making Affecting Malaysian Enterprise' Project Performance in China

Abdullah Bin Ibrahim, Wu Jing & Da Wenge

American Journal of Applied Sciences, Volume 7, Issue 2, pp. 241–247 · doi.org/10.3844/ajassp.2010.241.247

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Abstract

Problem statement: Nowadays, Improving decision-making to define a group of strategic objectives and associated Performance Indicators (KPIs) are has become one of the critical issues for practices relating to scope management gaining competitive advantages. Approach: This study focus on validate KPI supporting decision-making for sustainability appraisal in projects management for Malaysian Architectural, Engineering and Construction (AEC) enterprises in China. Results: First, it need to identify key issues related to sustainable intelligent buildings (AEC factors) and determines the performance level of their projects in China. Second, test critically decision-makers perceptions and values of selected KPIs intelligent buildings to supporting decision-making processes. Third to develop a conceptual model for the selection of the appropriate KPIs for measuring the level of sustainability for sustainable intelligent buildings, this provides information as to whether practices could be adopted by Malaysian AEC enterprises in China to achieve objectives. Conclusion: This study established KPIs-SDM practices that are significantly correlated with the projects handled by Malaysian enterprises in China. It investigated and compare 19 KPIs-SDM relational factors for Malaysian AEC project adopted in China.

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Ibrahim, A. B., Jing, W. & Wenge, D. (2010). Key Performance Indicators Supporting Decision-Making Affecting Malaysian Enterprise' Project Performance in China. American Journal of Applied Sciences, 7(2), 241–247. https://doi.org/10.3844/ajassp.2010.241.247

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Key Performance Indicators Supporting Decision-Making Affecting Malaysian Enterprise' Project Performance in ChinaAmerican Journal of Applied Sciences · Volume 7, Issue 2 · pp. 241–247 · © Science PublicationsDownload