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

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  • Kadri G Yilmaz

    (Business Administration, Faculty of Economics and Administrative Sciences, Gazi University. Turkey.)

  • Sedat Belbag

    (Business Administration, Faculty of Economics and Administrative Sciences, Gazi University. Turkey.)

Abstract

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.

Suggested Citation

  • Kadri G Yilmaz & Sedat Belbag, 2016. "Prediction of Consumer Behavior Regarding Purchasing Remanufactured Products: A Logistics Regression Model," International Journal of Business and Social Research, LAR Center Press, vol. 6(2), pages 1-10, February.
    • Handle: RePEc:lrc:larijb:v:6:y:2016:i:2:p:1-10
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    References listed on IDEAS

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