Title
A Framework For Project Selection Using Knowledge
Keywords
Knowledge value-added; Kolmogorov complexity; Matrix of change; Return on knowledge; System dynamics
Abstract
Presently, organizations' outputs are heavily dependent on intangibles such as knowledge and therefore use knowledge as a major asset. This business landscape shows the importance that intangible assets have in benefits and value because project selection cannot be appropriately managed without considering the role of knowledge. This research develops a framework to measure the value that processes add based on their knowledge. The framework starts by studying current systems and analyzing proposed changes with the Matrix of Change to propose a "to be" system. System dynamics is then used to model the desired system and obtain behavior measurements. At this phase the framework can use knowledge as a way to generate benefits following the concept of Kolmogorov complexity. The Kolmogorov complexity theory relates the amount of knowledge required to successfully execute change as a determinant of the change itself. Therefore criteria for project selection can be based on the amount of knowledge measured to generate change. Finally, the framework is applied to a case study in mobile weapon system using Unmanned Aerial Vehicles (UAV).
Publication Date
1-1-2013
Publication Title
IIE Annual Conference and Expo 2013
Number of Pages
874-883
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84900343532 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84900343532
STARS Citation
Cintrón, José; Onkham, Wilawan; Rabelo, Luis; and Sarmiento, Alfonso T., "A Framework For Project Selection Using Knowledge" (2013). Scopus Export 2010-2014. 7597.
https://stars.library.ucf.edu/scopus2010/7597