International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 5, Issue 9 (September 2018), Pages: 73-81

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 Original Research Paper

 Title: A two-stage study of grey system theory and DEA in strategic alliance: An application in Vietnamese fertilizing industry

 Author(s): Nhu-Ty Nguyen 1, *, Thanh-Tuyen Tran 2

 Affiliation(s):

 1School of Business, International University - Vietnam National University, Quarter 6, Linh Trung Ward, Thu Duc District, Ho Chi Minh city, Vietnam
 2Scientific Research Office, Lac Hong University, No. 10 Huynh Van Nghe, Bien Hoa City, Dong Nai, Vietnam

 https://doi.org/10.21833/ijaas.2018.09.011

 Full Text - PDF          XML

 Abstract:

Agriculture has been developed in Vietnam throughout the years, together with the fertilizing industry. In fact, among those fertilizing companies there is a need to form partnership. However, successful strategic alliances require special skills, considerations and efforts in order to assure the necessary cooperation needed to harness the respective potency of each partner. Grey Theory and DEA model were applied to calculate the effectiveness of enterprises in Vietnam fertilizer industry then offer an effective way to figure out the most suitable strategic partners. Seven companies in the fertilizer industry are selected to collect realistic data from financial reports of Vietnam issued stock market in four consecutive financial years (2012–2016). The Southern Fertilizers JSC was set to be the target decision making unit (DMU). Although this research is specifically applied to the fertilizer industry, the proposed method could also be applied to other manufacturing industries. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Strategic alliance, Grey forecasting model, Data envelopment analyses, Vietnam fertilizer industry

 Article History: Received 4 March 2018, Received in revised form 11 July 2018, Accepted 16 July 2018

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.09.011

 Citation:

 Nguyen NT and Tran TT (2018). A two-stage study of grey system theory and DEA in strategic alliance: An application in Vietnamese fertilizing industry. International Journal of Advanced and Applied Sciences, 5(9): 73-81

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I9/Nguyen.html

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 References (7) 

  1. Chan SH, Kensinger JW, Keown AJ, and Martin JD (1997). Do strategic alliances create value?. Journal of Financial Economics, 46(2): 199-221. https://doi.org/10.1016/S0304-405X(97)00029-9   [Google Scholar]
  1. Deng JL (1982). Control problems of grey systems. Systems and Control Letters, 1(5): 288-294. https://doi.org/10.1016/S0167-6911(82)80025-X   [Google Scholar]
  1. Glaister KW and Buckley PJ (1996). Strategic motives for international alliance formation. Journal of Management Studies, 33(3): 301-332. https://doi.org/10.1111/j.1467-6486.1996.tb00804.x   [Google Scholar]
  1. Nguyen NT and Tran TT (2015). Mathematical development and evaluation of forecasting models for accuracy of inflation in developing countries: A case of Vietnam. Discrete Dynamics in Nature and Society, 2015: Article ID 858157, 14 pages. https://doi.org/10.1155/2015/858157   [Google Scholar]
  1. Nguyen NT and Tran TT (2017). A novel integration of DEA, GM (1, 1) and neural network in strategic alliance for the Indian electricity organizations. The Journal of Grey System, 29(2): 80-102.   [Google Scholar]
  1. Tone K (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5   [Google Scholar]
  1. Wang CN, Nguyen NT, and Tran TT (2015). Integrated DEA models and grey system theory to evaluate past-to-future performance: A case of Indian electricity industry. The Scientific World Journal, 2015: Article ID 638710, 17 pages. https://doi.org/10.1155/2015/638710   [Google Scholar]