TY - JOUR
T1 - Developing imprecise dual-role hybrid measure of efficiency for international market selection using ternary variable
AU - Shabani, Amir
AU - Saen, Reza Farzipoor
N1 - Publisher Copyright:
© Copyright 2016 Inderscience Enterprises Ltd.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Data envelopment analysis
KW - DEA
KW - Dual-role factors
KW - Imprecise data
KW - International market selection
KW - Non-discretionary inputs
KW - Ternary variable
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U2 - 10.1504/IJISE.2016.074708
DO - 10.1504/IJISE.2016.074708
M3 - Article
AN - SCOPUS:84959345216
SN - 1748-5037
VL - 22
SP - 305
EP - 331
JO - International Journal of Industrial and Systems Engineering
JF - International Journal of Industrial and Systems Engineering
IS - 3
ER -