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Azadfallah, Mohammad
- International Supplier Partner Selection – Using An MADM models
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1 Business Studies and Development Office, Saipa yadak (Saipa after sales services), IR
1 Business Studies and Development Office, Saipa yadak (Saipa after sales services), IR
Source
International Journal of Marketing and Business Communication, Vol 4, No 1 (2015), Pagination: 41-45Abstract
The paper concentrates mainly on international supplier partner selection problem and demonstrates how the MADM models, particularly TOPSIS method can be effectively used for partner selection decision in foreign market (especially Iran and Sweden companies). The result showed that, the Sweden's best suppliers are not necessarily the most appropriate partner for Iranian companies because the importance of effective criteria is not the same for two countries.Keywords
International Supplier Partner Selection, MADM, Topsis.
- Consumer Choice in the Presence of Incomplete Information with MCDM Method under Crisp Data
Abstract Views :207 |
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Authors
Affiliations
1 Business Studies and Development Office, Saipa Yadak (Saipa after Sales Services Organisation), IR
1 Business Studies and Development Office, Saipa Yadak (Saipa after Sales Services Organisation), IR
Source
International Journal of Marketing and Business Communication, Vol 6, No 1 (2017), Pagination: 1-8Abstract
Missing data (also often called incomplete information) is a common problem in consumer choice. While some authors claim that a tendency to give more weight to attributes on which all considered options have values relative to attributes for which not all options have values. Therefore, choosing from sets with missing information can affect buyers' taste and purchase decisions. Moreover, it can lead to poor decision making by marketers and policymakers. In the present paper, to resolve this limitation, a new hybrid Multi Criteria Decision Making (MCDM/ particularly, TOPSIS method) and mathematical approach (for finding the missing data) is proposed. Tamaddon, Jahanshahloo, Lotfi, Mozaffaari, and Gholami (2009) developed the mathematical formulations for finding the missing data in the Data Envelopment Analysis (DEA) environment. In this paper, we focus our attention on the innovative combination of TOPSIS and proposed method initiated by Tamaddon et al. (2009) and its uses in the consumer choice problem in the presence of incomplete information. In the proposed method, input and output factors play the role of cost and benefit respectively. In addition, comparative analysis has been performed, and the proposed method seems to be more satisfactory than the traditional method (ignoring and discarding missing data) in solving decision problem. The paper concludes with limitations and further research directions.Keywords
MCDM, TOPSIS, Consumer Choice, Incomplete Information.References
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