Developing imprecise dual-role hybrid measure of efficiency for international market selection using ternary variable
by Amir Shabani; Reza Farzipoor Saen
International Journal of Industrial and Systems Engineering (IJISE), Vol. 22, No. 3, 2016

Abstract: By choosing the best international market from a set of potential countries, firms plan to start new or expand existing international activities. In marketing literature, this process is known as international market selection or target market selection. In realistic situations, some of data of international markets cannot be provided accurately since they are imprecise. Some other criteria of international market analysis are dual-role, i.e., they may be classified either as an input or as an output, simultaneously. The quantity of such factors may influence relative attractiveness of international markets. Moreover, in international market selection, some factors are beyond control of decision-maker(s) and cannot be modified at discretion of management. These factors may affect final decision. As a non-parametric technique, data envelopment analysis (DEA) provides adequate ability for decision makers to select a set of international markets. In this paper, using ternary variable, a new DEA-based model is proposed for international market selection in the presence of imprecise data, dual-role factors, and non-discretionary inputs. The proposed model is able to take into account radial and non-radial measures, as well. A case study illustrates the application of the proposed model.

Online publication date: Tue, 16-Feb-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com