scholarly journals Modeling the Incentive Mechanism of Information Sharing in a Dual-Channel Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Lixin Wang ◽  
Xiaolong Jiao ◽  
Qian Hao

Information sharing is the premise of the stable operation and win-win cooperation of the dual-channel agricultural supply chain. To arouse the enthusiasm of information sharing, this paper studies the incentive mechanism of information sharing of dual-channel agricultural product supply chain. The invention problem-solving theory (TRIZ) is adopted to analyze the functional model, the key problems, and the available resources of a dual-channel agricultural supply chain information sharing system. By using the invention principles of the conflict resolution theory, such as separation, precompensation, and feedback, the point bank reward mechanism and the risk evaluation and control mechanism of information sharing are proposed. TRIZ theory provides a new research method and incentive measure for effectively mobilizing the enthusiasm of information sharing.

2021 ◽  
Author(s):  
YU-LING SUN ◽  
ZE-YU ZHU ◽  
HUI YANG

Suppliers are important members of the agricultural product supply chain, and their behavior decisions may have a certain impact on the sustainable development of the agricultural product supply chain. From the perspective of agricultural product supplier trust, this paper studies the direct impact of agricultural product supplier trust on relationship quality and the indirect impact of supplier fairness perception on relationship quality. Based on the survey data of agricultural product suppliers, this paper uses the structural equation model method for empirical analysis. The analysis results show that fairness perception and trust perception have a significant positive impact on the quality of agricultural supply chain relationships, among which trust perception has a positive direct impact on the quality of agricultural supply chain relationships, while fairness perception has indirect influence on the quality of agricultural supply chain relationships through trust. In addition, information sharing, price satisfaction, income level and environmental certainty have a significant positive impact on suppliers’ fairness perception. Therefore, sellers comprehensively consider the fairness perception and trust perception of suppliers, which will help improve the relationship quality of the supply chain.


2021 ◽  
Vol 13 (22) ◽  
pp. 12365
Author(s):  
Liurui Deng ◽  
Wentang Xu ◽  
Juan Luo

In recent years, many countries have proposed various sustainable development strategies around environmental issues. The implementation of green supply chain management is an effective sustainable development approach that combines “environmental awareness” and “economic development.” Therefore, introducing the concept of “green” effectively is the main direction for the sustainable development of agriculture in the future. The impacts of green credit policies on agricultural supply chains have rarely been discussed before. Therefore, we focus on the incentive mechanism of green credit policies in the agricultural supply chain. We use the Stackelberg Leadership Model to construct a pricing model which adds the interest subsidy and required reserve ratio (RRR) cuts, and determines the pricing rules of bank loans and production decisions of the farmer in the agricultural supply chain under the incentive policy of green credit by quantifying the optimization problems of the bank and the farmer. The result shows that optimal decisions exist for both farmer and bank in the supply chain game framework. The implementation of the green credit policies contributes to both of their profits. Additionally, the green credit policies give the bank room to reduce interest rates so that the overall utility level of the supply chain could be improved.


2010 ◽  
Vol 108-111 ◽  
pp. 341-346
Author(s):  
Huang Ling

In this paper, the MRCTM model of closed-loop supply chain was investigated. An effective incentive mechanism that considered the uncertainty quality of product recycling was designed by the introduction of brand conversion factor. The author made an optimal analysis of the incentive mechanism. Moreover, the influence of different parameters, such as quality and brand to the fixed reward and the unit incentive payment was analyzed and some useful results were obtained.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yue Yin

With the rapid development of society, all walks of life need the support of the Internet of Things, and the financial industry is no exception. This article integrates blockchain technology with supply chain finance and builds a supply chain financial alliance architecture based on blockchain technology and an underlying model of the Ethereum blockchain system suitable for supply chain finance. We innovated new supply chain finance models and operating mechanisms and proposed business scenarios for supply chain finance from the perspective of blockchain. Taking into account the actual operation of the blockchain supply chain financial platform, the principal-agent model and the incentive theory are applied, and the supply chain financial accounts receivable model is taken as an example in the case of complete information and incomplete information. The incentive mechanism between the service provider of the chain supply chain financial platform and the core enterprise promotes the better implementation of blockchain technology and supply chain finance. Based on the existing theoretical research, this paper identifies the key influencing factors of the supply chain’s cross-enterprise incentive mechanism. These influencing factors system includes two dimensions: transaction factors and relationship factors. Transaction factors include resource dependence, uncertainty, and cooperation experience; relationship factors include corporate reputation, trust level, and relationship commitment. Based on the nature of the incentive mechanism, information sharing and revenue sharing are extracted as the measurement dimensions of the supply chain’s cross-enterprise incentive mechanism. On this basis, this article draws on the existing enterprise life cycle division method and constructs a hypothetical model of the influencing factors of the incentive mechanism in the incubation period, the growth period, and the maturity period. Relevant data was collected through questionnaires, and SPSS and AMOS software were used to perform statistical analysis, reliability analysis, exploratory factor analysis, confirmatory factor analysis, and structural equation hypothesis testing on the data. The performance of each influencing factor in different stages of the enterprise’s life cycle and the importance of each influencing factor in the same life cycle stage are obtained.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qinyi Zhang ◽  
Wen Cao ◽  
Zhichao Zhang

PurposeWith the rapid growth of the economy, people have increasingly higher living standards, and although people simply pursued material wealth in the past, they now pay more attention to material quality and safety and environmental protection. This paper discusses the lack of motivation for investing in fresh-keeping technology for agricultural products by individual members of an agricultural supply chain composed of a supplier and a retailer by means of mathematical models and data simulations and discuss the optimal price-invest strategies under different sales models.Design/methodology/approachFirst, based on the model of no investment by both sides (NN), this paper considers three models: supplier only (MN), retailer only (NR) and cooperative investment (MR). Then, the authors analyze the influence of consumer price sensitivity and freshness sensitivity on the investment motivation of agricultural products under four models. Subsequently, the paper makes a sensitivity analysis of the optimal strategies under several models, and makes a game analysis of the suppliers and retailers of agricultural products. Finally, we conduct an empirical analysis through specific values.FindingsThe results show that (a) when the two sides cooperate, the amount of investment is largest, the freshness of the agricultural products is highest, and the sales volume is greatest; however, when both sides do not invest, the freshness of agricultural products and sales volume are lowest. (b) The price and freshness sensitivity of the consumer have an impact on investment decisions. Greater freshness sensitivity corresponds to a higher investment, higher agricultural product price, greater sales volume, and greater supply chain member income and overall income; however, greater price sensitivity corresponds to a lower investment, lower agricultural product price, lower sales volume, fewer supply chain members and lower overall income. (c) The investment game between the supplier and retailer is not only related to the sensitivity to price and freshness but also to the coordination coefficients of interest. At the same time, the market position of agricultural products should be considered when making decisions. The market share of agricultural products will affect the final game equilibrium and then affect the final benefit of the supply chain and individual members.Practical implicationsThese results provide managerial insights for enterprises preparing to invest in agricultural products preservation technology.Originality/valueAt present, the main problem is that member enterprises of agricultural supply chains operate based on their own benefits and are resistant to investing alone to improve the freshness of agricultural products. Instead, they would prefer that other members invest so that they may reap the benefits at no cost. Therefore, the enterprises in each node of the agricultural product supply chain are not motivated enough to invest, and competition and game states are observed among them, and such behavior is definitely not conducive to improving the freshness of agricultural products. However, the current research on agricultural products is more about price, quality and greenness, etc., and there are few studies on agricultural investment. Through the establishment of the model, this paper is expected to provide theoretical suggestions for the supply chain enterprises that plan to invest in agricultural products preservation technology.


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