Abstract
In electronic commerce environment, reputation systems have been widely investigated for several decades towards building secure online market platforms. In this paper, we propose a new reputation model considering the repurchase behavior of buying agents (buyers). The buyer repurchase behavior is described by three factors: recency, frequency, and monetary. Since the repurchase behavior is essential for the survival of vendors in e-commerce in the long run, we further design a price premium based mechanism to encourage customers to conduct repeat transactions with their satisfactory selling agents (sellers). Theoretical analysis and simulation based experiments are conducted to evaluate the proposed system. The results show that there exists a unique pure strategy Nash equilibrium where buyers always repurchase from satisfactory sellers and sellers behave honestly.
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Acknowledgments
This research is partially supported by National Natural Science Foundation of China under Grant Nos. 61572123, 61402097 and 61602102; the National Science Foundation for Distinguished Young Scholars of China under No. 71325002; the Natural Science Foundation of Liaoning Province of China under Grant Nos. 20170540319 and 201602261; and the Fundamental Research Funds for the Central Universities under Grant Nos. N162410002, N161704001, N151708005, N161704004, N151704002.
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Liu, Y., Bai, J., Guo, G., Wang, X., Tan, Z. (2017). A Reputation Model Considering Repurchase Behavior and Mechanism Design to Promote Repurchase. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10656. Springer, Cham. https://doi.org/10.1007/978-3-319-72389-1_21
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DOI: https://doi.org/10.1007/978-3-319-72389-1_21
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