Volume 5, Issue 2 (February 2018), Pages: 136-147

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 Original Research Paper

 Title: A strategic alliance study by performance evaluation and forecasting techniques: A case in the petroleum industry

 Author(s): Thanh-Tuyen Tran *

 Affiliation(s):

 Scientific Research Office, Lac Hong University, Bien Hoa City, Dong Nai, Vietnam

 https://doi.org/10.21833/ijaas.2018.02.021

 Full Text - PDF          XML

 Abstract:

Petroleum is vital to many industries, and is of importance to the maintenance of industrial civilization in its current configuration. Moreover, the current trend in the World is to form strategic alliance to strengthen the business which is still considering due to uncountable heuristic reasons behind. Thus, this study seems to be a new method and point of view to form strategic alliance. We selected the companies can present for this industry according to Forbes. They also play important roles in the energy industry and global economic. Hence, the selection of these 15 candidates is qualified. We use the data approved and published recently belonging to the petroleum companies, then we analyzed the sequences of data and proposed one of advanced methods in evaluation: DEA – data development analysis. After that, we employed the forecasting technique: grey system theory. We set up one targeted Company to form alliance and final results can fulfill all requirements in their performance both in present and in the future. 

 © 2017 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, Forecasting, Performance evaluation, Petroleum, DEA, Grey system

 Article History: Received 30 September 2017, Received in revised form 22 December 2017, Accepted 24 December 2017

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.02.021

 Citation:

 Tran TT (2018). A strategic alliance study by performance evaluation and forecasting techniques: A case in the petroleum industry. International Journal of Advanced and Applied Sciences, 5(2): 136-147

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I2/Thanh.html

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