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A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain

A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain

Xiaofeng Zhang, William K. Cheung, ZongWei Luo, Frank Tong
Copyright: © 2010 |Volume: 1 |Issue: 4 |Pages: 12
ISSN: 1947-9573|EISSN: 1947-9581|EISBN13: 9781613502693|DOI: 10.4018/jal.2010100101
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MLA

Zhang, Xiaofeng, et al. "A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain." IJAL vol.1, no.4 2010: pp.1-12. http://doi.org/10.4018/jal.2010100101

APA

Zhang, X., Cheung, W. K., Luo, Z., & Tong, F. (2010). A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain. International Journal of Applied Logistics (IJAL), 1(4), 1-12. http://doi.org/10.4018/jal.2010100101

Chicago

Zhang, Xiaofeng, et al. "A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain," International Journal of Applied Logistics (IJAL) 1, no.4: 1-12. http://doi.org/10.4018/jal.2010100101

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Abstract

With the adoption of radio frequency identification (RFID) technology, information sharing among participants in a supply chain is greatly facilitated, raising privacy concerns on sharing sensitive information. Balancing the conflicts between the improvement of visibility and the decrease of sensitive information shared is paramount. In this paper, the authors propose a leader-follower game model called LFM to model the strategic game between buyer and supplier. A Stackelberg equilibrium state is then computed as the solution to this game model. The proposed approach exhibits better performance when compared with conventional optimization approaches via derivation in terms of the total information sharing level and the total gain acquired verified by the experiments. In the future, the authors will extend this approach to a more complex situation with more participants in a dynamic environment.

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