Key Factors in the Market for Remanufactured Products

Subramanian, Ravi; Subramanyam, Ramanath

doi:10.1287/msom.1110.0368

Cited by 237 publications

(194 citation statements)

References 53 publications

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“…They find that while the effect of store traffic on sales exhibits diminishing returns, having more in-store labor can alleviate this effect. Appendix Table A4) Notable works include those by Anderson and Xie (2012), Subramanian and Subramanyam (2012), Li et al (2014), and Phillips et al (2015). In general, the problems examined in this literature relate to the factors that affect pricing decisions and how different pricing schemes affect revenues.…”

Section: Services Management and Retailing (Onlinementioning

confidence: 99%

OM Forum—Causal Inference Models in Operations Management

Lim

Reza

et al. 2017

M&SOM

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Abstract. Operations management (OM) researchers have traditionally focused on developing normative mathematical models that prescribe what managers and firms should do. Recently, there has been increased interest in understanding what managers and firms actually do and the factors that drive these decisions. To advance this understanding, empirical investigation using causal inference models is critical. However, in many contexts, the ability to obtain causal inferences is fraught with the challenges of endogeneity and selection bias. This paper describes five empirical tools that have been widely used in economics to address these challenges and how they can be adopted by OM researchers. We also present an example that illustrates how the various attributes of big data-variety, velocity, and volume-can be useful in addressing the endogeneity bias.

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Section: Services Management and Retailing (Onlinementioning

confidence: 99%

OM Forum—Causal Inference Models in Operations Management

Lim

Reza

et al. 2017

M&SOM

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“…Then, we assume that customers' valuation per unit of quality for remanufactured products is a fraction ∈ (0,1) of its valuation for new products. The empirical evidence of the lower valuation of remanufactured products by customers can be found in [40,41]. The new and remanufactured products' demand functions are given as follows.…”

Section: Model Descriptionmentioning

confidence: 99%

Cooperation or Competition? Channel Choice for a Remanufacturing Fashion Supply Chain with Government Subsidy

et al. 2014

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Abstract:In this paper, we address the problem of choosing an appropriate channel for the marketing channel structure of remanufactured fashion products. To be specific, we consider a remanufacturer who has two options for selling the products: (1) provide the remanufactured products to a manufacturer, then the manufacturer sells both new products and the remanufactured products to customers, and (2) sell the remanufactured products directly to customers. Because of the relatively low acceptance of remanufactured products and environment consciousness of customers in developing countries like China, we model the two scenarios as decentralized remanufacturing supply chains, with the manufacturer being the Stackelberg leader and the government offering subsidy to the remanufacturer to incentivize remanufacturing activities. We find that the subsidy can incentivize remanufacturing activity regardless of the remanufacturer's channel choice. A "too high" or "too low" subsidy makes the remanufacturer compete with the manufacturer, and an intermediate subsidy results in cooperation between the two members of the remanufacturing supply chain. OPEN ACCESSSustainability 2014, 6 7293 Meanwhile, if the customers' acceptance for remanufactured products is higher, the remanufacturer will be more likely to compete with the manufacturer. However, the remanufacturer's optimal channel choice may be inefficient in the sense of social welfare and environmental protection.

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“…According to Atasu et al (2008), a large number of consumers usually approach remanufactured products as low-price alternatives to new products. Subramanian and Subramanyam (2012) focus on explanatory factors of the purchase price differences between new and remanufactured products. They conclude that reputation and identity of seller as well as their warranty strength have positive influence on remanufactured products.…”

Section: Literature Reviewmentioning

confidence: 99%

Prediction of Consumer Behavior Regarding Purchasing Remanufactured Products: A Logistics Regression Model

Yilmaz

Belbağ

2016

IJBSR

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Scarce resources, strict take-back legislations, decreasing life cycle of products and increasing competition are compelled original equipment manufacturers (OEMs) to collect and reuse their returned products. Remanufacturing is a well-known and widely used environment-friendly manufacturing to evaluate product returns. Moreover, with remanufacturing, OEMs offer environment-friendly products to environmentally concerned consumers, also known as green consumer. This study aims to develop a prediction model to determine purchase behavior of consumer for remanufactured products. We investigate the data with a survey of closed-end questions conducted among 400 residents of Ankara, Turkey. We consider several factors that influence consumers' preferences in purchasing process of remanufactured products. The suggested model predicts consumer behavior of remanufactured products with logistic regression analysis. The results show that several factors have effects on purchase behavior of consumer for remanufactured products such as low prices, company reliability and product promotion changes consumer behavior from no purchasing to purchasing remanufactured products.

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Key Factors in the Market for Remanufactured Products

Cited by 237 publications

References 53 publications

OM Forum—Causal Inference Models in Operations Management

OM Forum—Causal Inference Models in Operations Management

Cooperation or Competition? Channel Choice for a Remanufacturing Fashion Supply Chain with Government Subsidy

Prediction of Consumer Behavior Regarding Purchasing Remanufactured Products: A Logistics Regression Model

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