Analysis of outsourcing pricing for fourth party logistics enterprise based on bilateral bargaining game with asymmetric information

Author(s):  
Fuchang Li ◽  
Yong Wang ◽  
Ping Hang
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Qiao Qu ◽  
Cheng Liu ◽  
Xinzhong Bao

The development of supply chain finance, its pricing strategy for bilateral business cooperation between e-commerce, banking institutions, and fourth-party logistics services providers has gained the attention of researchers. This paper combines the heterogeneous network location verification technology, starting from information asymmetry and Rubens bargaining game ideas, and combines it with game theory methods to provide a reference for bilateral cooperation decision-making on e-commerce platforms. The experiment results indicated the pricing decisions of e-commerce platforms which are affected by the efforts of the other party and the ability of bargaining. The quoted price increases with the decrease of the bank’s ability and the increase of the service provider’s ability. The pricing decisions of banks and service providers are only affected by the direct proportion of their respective business costs. When considering the introduction of incentive mechanism conditions, it is found that appropriate incentive conditions can increase the quotation of the e-commerce platform. The price quoted by the e-commerce platform that chooses to bargain with the bank is higher than the price quoted by the bank after negotiating with the service provider, which will help to better realize the benefits. Finally, the paper numerically analyzes the results of the bargaining game between e-commerce platforms and banks and fourth-party logistics service providers, and the numerical results verify the better performance.


1985 ◽  
Vol 10 (2) ◽  
pp. 181 ◽  
Author(s):  
D. Roderick Kiewiet ◽  
Mathew D. McCubbins

2010 ◽  
Vol 439-440 ◽  
pp. 331-336
Author(s):  
Cheng Hua Shi ◽  
Yue Xiao Han ◽  
Yun Gao Gu

The paper analysis on the fourth party logistics (4PL) enterprise competitiveness based on the connotation of simple; according to the characteristics of the fourth party logistics, the first put forward the fourth party logistics enterprise competitiveness evaluation index system, then apply the method of entropy index system, and last using the neural network to competitive analysis and quantitative evaluation of fourth party logistics enterprises, and get appraisal conclusion.


2020 ◽  
Vol 59 ◽  
pp. 102179
Author(s):  
Zhenli Zhao ◽  
Lihui Zhang ◽  
Jinrong Zhu ◽  
Songrui Li ◽  
Xueying Song

2016 ◽  
Vol 42 (9) ◽  
pp. 891-901 ◽  
Author(s):  
Thomas R. Sadler ◽  
Shane Sanders

Purpose The purpose of this paper is to analyze the 2011 National Basketball Association (NBA) lockout and collective bargaining agreement (CBA). Design/methodology/approach Using a bargaining game model, the authors show that asymmetric information via owner revenue shifting and financial non-disclosure caused the conflict between owners and players (growth of player salaries) to result in a lockout. Findings The bargaining game also demonstrates the lockout to be a rational response to asymmetric information: by restricting the growth of player salaries, owners improved their competitive position. Other factors motivating the lockout include the indirect benefit to the median owner of repressing player salaries (i.e. greater expected competitive balance) and a principal agency problem within the players’ union. The lockout concluded with a ten-year CBA, a mutual opt-out in 2017, and revenue sharing between 49 and 51 percent of basketball-related income. The league salvaged a shortened 2011-2012 season, but created an economic framework more favorable to owners. Originality/value This paper is novel in its analysis of the bargaining aspects of the current NBA collective bargaining agreement.


CONVERTER ◽  
2021 ◽  
pp. 594-607
Author(s):  
Hongyu Luo, Jianfeng Wei, Ke Li

Under the background of "made in China 2025", China's logistics development ushered in new opportunities, which put forward newer and higher requirements for the transformation and upgrading of the logistics industry.The fourth party logistics enterprise is a supply chain integrator.At present, there is a kind of fourth party logistics enterprise based on tripartite cooperation and operation mode in China. That is, fourth party logistics enterprises combine transportation enterprises withinsurance companies, and meanwhile rely on logistics information platform to carry out safety management of freight vehicles. In fact,in the process of tripartite cooperation, there are many uncertain factors, which bring multiple risks to the fourth party logistics enterprises. This paper studies and analyzes the risks faced by the fourth party logistics enterprises, in order to determine the important risk factors, so as to provide decision-making reference for the fourth party logistics enterprises to avoid risks. Firstly, this paper identifies the specific risks in the environment, cooperation, finance and management of the tripartite cooperation model from the internal, external and partnership dimensions, and reveals the mechanism of the risks. Secondly, the analytic hie-rarchy process (AHP) is used to calculate the comprehensive weight of each risk index, and the fuzzy synthetic evaluation method is used to determine the probability of risk. Finally, the overall risk level of X Company is ob-tained by establishing an evaluation matrix and weighting calculation according to the membership relationship between the evaluation matrix and the index weight. The results show that: from the perspective of the dimension of risk importance, cooperation risk and financial risk have the highest risk weight in the second-level index; in the third-level index, the behavioral risk of transportation enterprise, working capital risk and insurance company have the highest risk weight, while the weight of natural risk and political risk is lower. In the dimension of risk generation probability, inter-industry competition risk, transportation enterprise behavior risk, insurance company behavior risk and working capital risk are in the higher probability.


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