A violent market price contract for agribusiness supply chain

Rajput, Ranjeet; Venkataraman, Sri Vanamalla

doi:10.1007/s10479-021-04068-2

Cited by 6 publications

(3 citation statements)

References 44 publications

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“…This paper considers that the brand owner is the leader of the platform supply chain and the e-commerce platform is its follower (e.g., Apple and JD.com mentioned above). To obtain equilibriums of the Stackelberg game, the Backward Induction Method is adopted [37][38][39].…”

Section: Model Resultsmentioning

confidence: 99%

New Practice of E-Commerce Platform: Evidence from Two Trade-In Programs

Lou

et al. 2022

JTAER

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In the context of developing the digital platform economy, trade-in programs have become an effective strategy for e-commerce platforms to stimulate consumption. Many head e-commerce platforms have launched their own trade-in programs. However, the existing research on trade-in programs is still stuck in the traditional trade-in model. The purpose of this study is to explore whether there is a new and more beneficial trade-in program. In this paper, we construct the Stackelberg game model between a brand owner and a B2C e-commerce platform under two trade-in programs and use optimization theory to obtain the equilibrium results of the model. The results indicate that the performance improvement of the new-generation product will promote the increase in two-generation products’ price under traditional trade-in programs, the price of the new-generation product will increase, and the price of the previous-generation product will decrease under new trade-in programs. The brand owner always prefers traditional trade-in to new trade-in. However, the e-commerce platform prefers traditional trade-in to new trade-in just when the previous-generation product is durable enough and the performance improvement of a new-generation product is small enough; otherwise, it prefers new trade-in to traditional trade-in. These findings are beneficial to the operational practices of e-commerce platforms and brand owners.

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Section: Model Resultsmentioning

confidence: 99%

New Practice of E-Commerce Platform: Evidence from Two Trade-In Programs

Lou

et al. 2022

JTAER

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“…finalizing the contract menu, the manufacturer can limit the option to relatively simple menus, depending on the farmer pool's heterogeneity. Rajput and Venkataraman (2022) develop a Stackelberg game between a firm and a farmer and propose a pricing mechanism that adjusts the market price to accommodate extreme price fluctuations that can enable both parties to avoid violation of the contract. Ayvaz-Çavdaroglu et al (2021) analyze policies for a for-profit cooperative that offers quality-based payments to risk-averse farmers who operate under yield uncertainty, quality requirements, and open market prices.…”

Section: Production and Operations Managementmentioning

confidence: 99%

“…They find that when finalizing the contract menu, the manufacturer can limit the option to relatively simple menus, depending on the farmer pool's heterogeneity. Rajput and Venkataraman (2022) develop a Stackelberg game between a firm and a farmer and propose a pricing mechanism that adjusts the market price to accommodate extreme price fluctuations that can enable both parties to avoid violation of the contract. Ayvaz‐Çavdaroğlu et al.…”

Section: Stakeholder Engagement For Farming In a Digital Eramentioning

confidence: 99%

Opportunities in farming research from an operations management perspective

Gupta

Berenji

Shukla

et al. 2023

Production and Operations Management

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We review and analyze the farming (upstream agribusiness supply chain) research literature since 1965 to identify farming research opportunities for operations management (OM) researchers. A majority of reviewed papers in our corpus, until the turn of the 21st century, primarily focus on improving operational efficiency and effectiveness of farming using optimization techniques. However, during the last two decades, farmers’ welfare and the interests of other stakeholders have drawn OM researchers’ attention. This expanded focus on farming research has become possible due to the proliferation of mobile communication devices and the Internet as well as advancements in information technology platforms and social media. Our review also shows that there is a paucity of OM literature that leverages increased data availability from the emergence of precision agriculture and blockchain to address major challenges for the farming sector emanating from climate change, natural disasters, food security, and sustainable and equitable agriculture, among others. Big data, in conjunction with opportunities for field‐based experimentation, artificial intelligence and machine learning, and integration of predictive and prescriptive analytics, can be leveraged by OM scholars engaged in farming research. We zero in on specific questions, issues, and opportunities for research in farming.

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Enabling socially responsible operations: A decision-making model for a firm contracting with decision-biased smallholders

Dutta

Kaur

2022

Ann Oper Res

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A violent market price contract for agribusiness supply chain

Cited by 6 publications

References 44 publications

New Practice of E-Commerce Platform: Evidence from Two Trade-In Programs

New Practice of E-Commerce Platform: Evidence from Two Trade-In Programs

Opportunities in farming research from an operations management perspective

Enabling socially responsible operations: A decision-making model for a firm contracting with decision-biased smallholders

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