Please use this identifier to cite or link to this item:
Title: A Model for Alliance Partner Selection Based on GM (1, 1) and DEA Frameworks - Case of Vietnamese Coffee Industry
Authors: Nguyen, Ngoc Thang
Phan, Van Thanh
Duong, Thi Ai Nhi
Le, Thanh Ha
Pham, Thao Vy
Pham, Nghiem Hong Ngoc Bich
Kieu, Thanh Giang
Keywords: Grey prediction
Data envelopment analysis
Strategic alliances
Coffee trading companies
Issue Date: Jul-2023
Publisher: Springer Nature
Abstract: Due to the fierce market competition, the alliance between companies aiming to increase operational efficiency and competitiveness has become the inevitable trend. However, not all of the alliance strategies are 100% successful in reality. The most important question for the company leader is: How to find out the best partner when an alliance? In order to deal with this problem, this study proposes a systematic approach to find out the best partner in the alliance process based on the Grey prediction models and Data Envelopment Analysis (DEA). To illustrate above approach, 07 coffee trading companies with full data in Đăk Lăk province, Vietnam are used as Decision-Making Units (DMUs). The empirical results show that 721 Coffee one member company (DMU7) has become the best partner for Thang Loi Coffee Joint Stock Company in the alliance. In the future direction, this proposed approach will be extended and applied in this or many fields by considering lots of different factors or using different methodologies to deal with practical scenarios.
Description: Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 89-101.
ISBN: 978-3-031-36886-8
Appears in Collections:CITA 2023 (International)

Files in This Item:

 Sign in to read

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.