Operational decisions and game analysis in the agricultural supply chain: invest or not?

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.

2022 ◽  
Vol 2022 ◽  
pp. 1-16
Author(s):  
Wei Guo ◽  
Kai Yao

The present work serves to improve the stable cooperation relationship among subjects of supply chain such as enterprises, farmers, intermediary organizations, and retailers and enhance the governance and optimization of agricultural product supply chain, thus strengthening the competitiveness of China’s agricultural industry. The supply chain governance of agricultural products is taken as the research object. Initially, the stabilities of two supply chain organization modes, “company and farmer” and “company, intermediary organization and farmer,” are analyzed by static game analysis. Then, based on the above analysis and the characteristics of blockchain institutional technology, a detailed analyzation is made on the mechanism of supply chain of agricultural products governance based on blockchain technology. Finally, the functional framework of agricultural supply chain governance is designed based on the basic framework of blockchain technology, and analyzation is made on the trust mechanism and contract mechanism of agricultural supply chain governance based on blockchain technology. The research results show that problems such as information and cognitive constraints in agricultural supply chain governance cannot be completely solved only through the evolution of blockchain organizational structure and the supply of governance mechanism, and speculative behavior will still appear. Optimizing the governance of supply chain of agricultural products based on blockchain technology can realize the transformation of its governance scenario. Meanwhile, the blockchain technologies such as deintermediation, demistrust, and intelligent contract play an important role in the process of agricultural supply chain governance, which can make it change in many aspects such as organization mode, application operation, and governance mechanism. The rapid development of new generation information technologies such as blockchain, the Internet of Things, and computer technology makes it possible to comprehensively digitize economic activities such as production and transaction in the supply chain of agricultural products. The present work combines the technical logic of blockchain digital governance with the institutional logic of agricultural product supply chain governance and tries to solve the instability problems caused by imperfect organization, lack of trust, and incomplete contract in agricultural product supply chain governance with the characteristics of blockchain such as deintermediation, demistrust, and intelligent contract.


2020 ◽  
Vol 9 (3) ◽  
pp. 114
Author(s):  
Wenyu Dong

Asthe proportion ofrisksin the supply chain of agricultural productsincreases gradually, it is of far-reaching significance to improve the supply chain resilience to resist the risk interference. Based on the research on the factors affecting the resilience of agricultural products supply chain, the AHP-FCE method was used to evaluate the resilience of agricultural products supply chain. Through qualitative analysis and quantitative calculation, the fuzzy comprehensive evaluation of agricultural product supply chain resilience is carried out. The results show that the reliability of suppliers, the number of transport vehicles and the risk control ability of employees are the main factors restricting the resilience of agricultural supply chain. Finally, it provides theoretical basis for relevant enterprises and institutions to improve the resilience of their agricultural supply chain through case analysis and verification.


Author(s):  
Yongtao Shen ◽  
Boonsub Panichakarn

Agriculture is widely treated as a base of national economy. The product provides the basic need for human, and its safety and stability are exposed to the constant attention of everyone. With the progress of human science and technology, more and more resources can be extracted from nature, and agricultural products nowadays are not be limited to food, but also be used as raw materials for fuel or other products. Meanwhile, trade between the two regions is often due to a comparative advantage in the production of a product, such as better technology, easier access to raw materials and the like (Dollar & Kraay, 2004). Therefore, agricultural product trade is a very important topic. This study believes that supply chains are an effective way to increase the value of agricultural product trade, for example effectively collaborating makes agricultural products available to end-consumers as quickly as possible. Supply chain management aims to satisfy consumer demands and improve the competitiveness (Dias & Ierapetritou, 2017) in various industries (Oelze et al., 2018). However, there is still blank between agricultural product trade and supply chain academically, figuring out what is agricultural product trade supply chain and what is related to this chain would be essential.


Kybernetes ◽  
2019 ◽  
Vol 48 (5) ◽  
pp. 818-834 ◽  
Author(s):  
Lanying Sun ◽  
Xiaoyan Li

Purpose The purpose of this paper is under the analysis framework of the system theory, analyzing the optimal contract mode of agricultural supply chain to guarantee the stability of agricultural supply chain and the equilibrium of agricultural product market, to analyze the effect of farmers’ risk attitude on the selection of contract modes and to find the way to encourage farmers’ productive effort and to avoid farmers’ hitchhiking behavior, to guarantee the stability of agricultural supply chain. Design/methodology/approach Under the guidance of the system theory, using the Stackelberg model and the nonlinear programming theory, this paper comparatively analyzes farmers’ effort (productive effort and sales effort), farmers’ income and the stability of agricultural supply system of four types of contract modes between farmers, third-party organizations and market. Findings First, in the agricultural market, market-type contract cannot maximize farmers’ income. The main reason is that farmers do not have enough ability to avoid market risk and to bargain. Second, for farmers of risk seeking, choosing a market-type contract and secondary-income contract can increase their income. Third, under the fixed-purchase price contract, the hitchhiking behavior would happen. Fourth, when farmers’ productive efforts are the same, farmers’ income under the secondary-income contract is higher than under the fixed-purchase price contract. Because under the secondary-income contract, farmers have the opportunity to obtain the secondary distribution of benefits, farmers’ hitchhiking behavior could be avoided. Originality/value Analyzing the contract modes between farmers and the third-party organization in the agricultural market could reduce the influence of price fluctuation, avoid the uncertainty of the relationship between the supply and demand, stimulate the productive effort of farmers and provide theoretical guidance for establishing efficient and stable agricultural supply system.


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.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Juan Yang ◽  
Haorui Liu ◽  
Xuedou Yu ◽  
Fenghua Xiao

In consideration of influence of loss, freshness, and secret retailer cost of products, how to handle emergency events during three-level supply chain is researched when market need is presumed to be a nonlinear function with retail price in fresh agricultural product market. Centralized and decentralized supply chain coordination models are studied based on asymmetric information. Optimal strategy of supply chain in dealing with retail price perturbation is caused by emergency events. The research reveals robustness for optimal production planning, wholesale price for distributors, wholesale price for retailers, and retail price of three-level supply chain about fresh agricultural products. The above four factors can keep constant within a certain perturbation of expectation costs for retailers because of emergency events; the conclusions are verified by numerical simulation. This paper also can be used for reference to the other related studies in how to coordinate the supply chain under asymmetric and punctual researches information response to disruptions.


2021 ◽  
Vol 11 (3) ◽  
pp. 1-18
Author(s):  
Raj V. Amonkar ◽  
Tuhin Sengupta ◽  
Debasis Patnaik

Learning outcomes The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors. Case overview/synopsis It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe. Complexity academic level This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing). Supplementary materials Teaching Notes are available for educators only. Subject code CSS 9: Operations and logistics.


LISS 2014 ◽  
2015 ◽  
pp. 1613-1619 ◽  
Author(s):  
Haoxiong Yang ◽  
Dan Wang ◽  
Jingrui Zhang ◽  
Jindan Li

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