Information acquisition and transparency in a supply chain with asymmetric production cost information

2016 ◽  
Vol 182 ◽  
pp. 449-464 ◽  
Author(s):  
Song Huang ◽  
Jun Yang
2019 ◽  
Vol 120 (1) ◽  
pp. 98-127
Author(s):  
Xu Chen ◽  
Xiaojun Wang ◽  
Xiaoqiang Zhu ◽  
Joseph Amankwah-Amoah

Purpose This paper seeks to fill the literature gap that lacks of exploring negotiation strategy with competing partners under asymmetric production-cost information. The purpose of this paper is to examine firms’ optimal contract negotiation strategies in buyer–supplier–supplier triads where there are concurrent negotiations between the retailer and two competing manufacturers. Design/methodology/approach The authors consider a two-echelon supply chain, in which the retailer has the option of segmented or unified negotiation policy, whereas the two competing manufacturers can withhold or share production cost information in the negotiation. Based on game theory, the authors derive the manufacturers’ optimal wholesale prices and the retailer’s optimal retail prices with eight possible scenarios. Optimal strategic choices and operational decisions are then explored through the comparative analysis of equilibriums of eight possible scenarios. Findings The authors find that the retailer will adopt different negotiation strategies depending on manufacturers’ decisions on sharing or withholding their production-cost information. When both manufacturers share their production-cost information, the retailer will adopt a unified negotiation policy. The high-efficiency manufacturer should adopt the same information-sharing strategy as the low-efficiency manufacturer in order to gain more profit. Originality/value The modelling helps to bring further clarity in supply chain contract negotiation by offering a conceptual framework to enhance our understanding of the effects of information-sharing strategy and negotiation policy in the negotiation process form the perspectives of all engaging parties. Managerial insights derived from the research will enable retailers and manufacturers to make informed and better strategic and operational decisions to improve market competitiveness.


Kybernetes ◽  
2019 ◽  
Vol 48 (5) ◽  
pp. 835-860 ◽  
Author(s):  
Xue Chen ◽  
Bo Li ◽  
Simin An

Purpose A lack of visibility into the manufacturer’s production cost information impedes a retailer’s ability to maximize her own profits, especially when market demand is uncertain. The purpose of this paper is to investigate the use of an option contract within a one-period two-echelon supply chain in the presence of asymmetric cost information. Design/methodology/approach Based on the principal-agent model, the retailer, acting as a Stackelberg leader, offers a menu of option contracts to mitigate the risk of uncertain demand and reveal asymmetric production cost information. The optimal contract in asymmetric and symmetric information scenarios is derived. Finally, the impact of production costs on the optimal contracts and the actors’ profits is explored by numerical experiments. Findings By comparing the optimal equilibrium solutions in two scenarios, the authors show that asymmetric cost information has a large impact on the optimal option contract and profits. In addition, information rent is affected by the type differential. The results prove that the level of information asymmetry plays a vital role in option contracts and profits. Originality/value Different from the existing literature on private demand information, this paper considers a supply chain with asymmetric cost information in the context of option contracts. Interestingly, not only the production cost but also the probability of a low production cost can affect the option strike price. In addition, from the perspective of the manufacturer, a high cost does not always bring a high information rent. These findings can provide some guidance to decision-makers.


2021 ◽  
Vol 16 (5) ◽  
pp. 1791-1804
Author(s):  
Mengli Li ◽  
Xumei Zhang

Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers and an offline showroom. Based on signaling game theory, we build a mathematical model by considering the impact of experience service and competition intensity on consumers’ demand. We find that, on the one hand, information acquisition promotes supply chain members to obtain demand information directly or indirectly, which leads to forecast revenue. On the other hand, information acquisition promotes supply chain members to distort optimal decisions, which results in signal cost. The optimal information acquisition strategy depends on the joint impact of forecast revenue, signal cost and demand forecast cost. Notably, in some conditions, the offline showroom will not acquire demand information even when its cost is equal to zero. We also design two different information acquisition incentive contracts to obtain Pareto improvement for all supply chain members.


2021 ◽  
pp. 1-15
Author(s):  
Sudip Adak ◽  
G.S. Mahapatra

This paper develops a fuzzy two-layer supply chain for manufacturer and retailer with defective and non-defective types of products. The manufacturer produces up to a specific time, including faulty and non-defective items, and after the screening, the non-defective item sends to the retailer. The retailer’s strategy is to do the screening of items received from the manufacturer; subsequently, the perfect quality items are used to fulfill the customer’s demand, and the defective items are reworked. The retailer considers that customer demand is time and reliability dependent. The supply chain considers probabilistic deterioration for the manufacturer and retailers along with the strategies such as production rate, unit production cost, cost of idle time of manufacturer, screening, rework, etc. The optimum average profit of the integrated model is evaluated for both the cases crisp and fuzzy environments. Managerial insights and the effect of changes in the parameters’ values on the optimal inventory policy under fuzziness are presented.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.


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