Enterprise partner selection for vocational education: analytical network process approach

2004 ◽  
Vol 25 (7) ◽  
pp. 643-655 ◽  
Author(s):  
Sheu Hua Chen ◽  
Hung Tso Lin ◽  
Hong Tau Lee
2015 ◽  
Vol 117 ◽  
pp. 114-126 ◽  
Author(s):  
Hasan Zabihi ◽  
Anuar Ahmad ◽  
Iris Vogeler ◽  
Mohamad Nor Said ◽  
Morteza Golmohammadi ◽  
...  

2013 ◽  
Vol 12 (03) ◽  
pp. 1350018 ◽  
Author(s):  
B. P. Sharma ◽  
M. D. Singh

In today's knowledge-based business, knowledge is the only source of competitive advantage for engineering industries. Knowledge sharing plays an important role in the success of knowledge management (KM). Knowledge sharing barriers (KSBs) become obstacles for KM to achieve the goals of the industries. In this paper, three categories of KSBs have been identified such as individual, organisational and technological. The main purpose of this research is to measure the effectiveness of individual, organisational and technological KSBs which helps the managers for taking decision to enhance the successful knowledge sharing strategy in the engineering industries. In this paper, an analytical network process (ANP) framework has been developed with the help of identified determinants, dimensions and enablers to evaluate the effectiveness of alternatives such as individual, organisational and technological KSBs. As per evaluation, the organisational KSBs have the maximum effect on knowledge sharing followed by technological and individual KSBs.


2010 ◽  
Vol 13 (2) ◽  
pp. 215-234
Author(s):  
Piter Abdullah

A failed bank can spark a deep financial crisis throughout the whole country when ironically it may simply have been triggered by a banking crime perpetrated by an insider, i.e. the banker. Although banking crimes may pose a significant threat to financial sector stability, the potential risk of internal fraud has, hitherto, not been taken into account in banking supervision processes. This paper analyzes the effectiveness of banking supervision to uncover potential risks of banking crimes by combining game theory and the analytical network process approach. In this paper, the author conducts two games with three players; the banker, the bank supervisor and the police. The banker has two strategies: to offend or not to offend. The bank supervisor has two choices: to supervise or not to supervise. The police can choose to enforce or not to enforce. In the first part, the effectiveness of bank supervision is analyzed theoretically using game theory. The effectiveness of banking supervision will depend on the behavior of each player as reflected in their decisions. Further analysis will confirm the previous result using an analytical network process. At this stage, the analytical network process is used to calculate the probability of each strategy being chosen by considering all criteria or sub criteria. Any decision made by one player will influence the other players in choosing their alternative strategies and vice versa.JEL Classificiation: C78, E58Keywords: Analytical Network Process, banking crimes, game theory


Author(s):  
Gul Pervez ◽  
Taiwo Olubunmi Adetiloye

In response to current economic downturn coupled with intense global competition, the concept of supply chain collaboration has emerged as a possible solution for firms aiming to gain competitive advantage through cost reduction, increased asset utilization and improving service levels. In this chapter, the authors address the problem of collaboration planning between multiple retailers and/or suppliers in a supply chain network. Three problems are considered, namely partner selection, collaboration strategy selection, and profit allocation, among the partners entering into a collaboration. Three techniques, namely cluster analysis, analytical network process (ANP), and game theory, are used for this purpose. Partner selection for collaboration is done using cluster analysis and analytical network process (ANP) while collaboration strategy selection is made through the application of game theory. The profit allocation among collaborating partners is performed using Shapley method. A numerical application is provided.


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