Usage of Two-Stage Integrating Data Envelopment Analysis to Propose the Best Strategic Alliance

Nhu-Ty Nguyen
Additional contact information
Nhu-Ty Nguyen: School of Business, International University, Vietnam Vietnam National University HCMC Quarter 6, Linh Trung ward, Ho Chi Minh City, Vietnam

The Journal of Social Sciences Research, 2020, vol. 6, issue 4, 374-388

Abstract: Strategic alliance is also considered to be a highly intelligent approach. Strategic alliances are also seen as a smart way of green supply. E-business is growing rapidly and efficiently because the direction of search is the main balance in the world. Economic development and environmental protection. However, appropriate methods of evaluating and analyzing a couple’s performance are also important for senior managers to make effective decisions. Applies to business strategies, including future alliance strategies. This will improve business performance and reduce carbon dioxide (CO2) emissions among the hot trend of development of green logistics providers. Over past to future forecasting, this paper tries to propose a new approach of data envelopment analysis (DEA) based on grey forecasting and neural network, helping the target company – CSX Group make a well-considered decision to select the best strategic alliance candidates. The results indicate that Hiz Cor. and Conz Freight are the very best candidates for CSX to have strategic alliances. This combination is suggested not only good for the target company but also beneficial for the partners as well. This is a new studying method in both academic research studies and practical applications by combining Grey theory, neural network and DEA model which probably gives a better “past-present-future†insights into evaluation performance of an industry.

Keywords: Strategic alliance; Green logistics; Decisions making; DEA; Grey forecasting; Neural network. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.arpgweb.com/pdf-files/jssr6(4)374-388.pdf (application/pdf)
https://www.arpgweb.com/journal/7/archive/04-2020/4/6 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arp:tjssrr:2020:p:374-388

Access Statistics for this article

The Journal of Social Sciences Research is currently edited by Dr. Paola Magnano

More articles in The Journal of Social Sciences Research from Academic Research Publishing Group Rahim Yar Khan 64200, Punjab, Pakistan.
Bibliographic data for series maintained by Managing Editor ().