Optimizing partners’ choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR
By Lisa Y. Chen, Tien-Chin Wang. 2009
310 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/77497905a47ad78321bc47faf0066063c418de10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Guiwu Wei
- Xiao-Jun Zeng
- Zeshui Xu
- Eric Wai Ting Ngai
- Mohammad Jafar Tarokh
- Hossein Shirazi
- Nian Zhang
- Huchang Liao
In Management Information Systems
- James Nga-Kwok Liu
- Guiwu Wei
- Xiao-Jun Zeng
- Junyi Chai
- Zeshui Xu
- Eric Wai Ting Ngai
- Mohammad Jafar Tarokh
- Hossein Shirazi
In Management Science and Operations Research
- Zeshui Xu
- Huchang Liao
- Xiao-Jun Zeng
- Guiwu Wei
- Nian Zhang
- Eric Wai Ting Ngai
- James Nga-Kwok Liu
- Junyi Chai
Citations in the corpus
- Application of decision-making techniques in supplier selection: A systematic review of literature (2013, background): “Chen and Wang (2009) provided a fuzzy VIKOR for the application of IS/information technology (IT) outsourcing projects.”
- Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making (2015, methodology): “Chen and Wang [35] used this fuzzy VIKOR method to select the most appropriate suppliers/vendors for information system/technology outsourcing.”
- A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting (2011, methodology): “This includes deploying VIKOR either solely (Chiang, 2009; Chen & Wang, 2009) or along with other mathematical or MCDM approaches such as AHP (Liu & Yan,, 2007; Wu, Chen, & Chen, 2010), ANP (Liou & Chuang, in press), rough sets (Jiagang & Wei, 2008; Zhou & Tian, 2008), and artificial neural…”
- Extension of VIKOR method for decision making problem based on hesitant fuzzy set (2013, methodology): “Therefore, it is suitable for those situations in which the decision maker wants to have maximum profit and the risk of the decisions is less important for him [1,5–10].”