TY - GEN
T1 - Outsourcing resource selection
T2 - 40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
AU - Zhu, Dan
AU - Meng, Qiang
AU - Zhao, J. Leon
PY - 2007
Y1 - 2007
N2 - Today's economic reality is forcing firms to become increasingly more efficient in managing their resource functions. Outsourcing has moved to the mainstream of business development and promised to be one of the many enterprise strategies for cost-effective service delivery. Proper screening and automatic selection of outsource partners are critical to the business. Resource selection is one of the most important steps in outsourcing decision-making processes. This paper considers a data intensive selection problem in outsourcing software development projects. We analyze the properties of the resource selection problem and propose some criteria for an automatic resource selection model. A naive model, a traditional rough set model, and a generalized rough set (GRS) model are introduced and the advantages and disadvantages of each model are compared. Experimental results indicate that the GRS model is superior to other models. © 2007 IEEE.
AB - Today's economic reality is forcing firms to become increasingly more efficient in managing their resource functions. Outsourcing has moved to the mainstream of business development and promised to be one of the many enterprise strategies for cost-effective service delivery. Proper screening and automatic selection of outsource partners are critical to the business. Resource selection is one of the most important steps in outsourcing decision-making processes. This paper considers a data intensive selection problem in outsourcing software development projects. We analyze the properties of the resource selection problem and propose some criteria for an automatic resource selection model. A naive model, a traditional rough set model, and a generalized rough set (GRS) model are introduced and the advantages and disadvantages of each model are compared. Experimental results indicate that the GRS model is superior to other models. © 2007 IEEE.
UR - http://www.scopus.com/inward/record.url?scp=39749085835&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-39749085835&origin=recordpage
U2 - 10.1109/HICSS.2007.422
DO - 10.1109/HICSS.2007.422
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0769527558
SN - 9780769527550
BT - Proceedings of the Annual Hawaii International Conference on System Sciences
Y2 - 3 January 2007 through 6 January 2007
ER -