The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Risk-Centric Performance Measurement: Deriving Best Value from Performance Management Systems
Abstract
This chapter will discuss methods for managing risk through the use of a risk-centric performance management approach. The author will describe the research and analytics that led to a better understanding of how and why realized risks persist in preventing project success despite our evolved knowledge, systems and tools. This chapter will address the fact that bureaucratic and sluggish systems using trailing indicators often elongate the discovery of and may conflate the underlying project issues to be addressed. The author will demonstrate it is imperative to minimize any time lag in identifying trends and acutely focus on risk drivers to increase the chance for a successful project outcome. The point will be made that our forensic-based project performance measurement systems are no longer effective in today's environment of increasingly complex fast-track projects. Tackling the challenge of gaining better value from capital project delivery performance management systems is the primary goal of this work.
Related Content
Yu Bin, Xiao Zeyu, Dai Yinglong.
© 2024.
34 pages.
|
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao.
© 2024.
21 pages.
|
Tao Zhang, Zaifa Xue, Zesheng Huo.
© 2024.
32 pages.
|
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta.
© 2024.
22 pages.
|
Yi Xu.
© 2024.
37 pages.
|
Chunmao Jiang.
© 2024.
22 pages.
|
Hatice Kübra Özensel, Burak Efe.
© 2024.
23 pages.
|
|
|