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EFFECTIVENESS OF REVERSE LOGISTICS: THE EMPIRICAL TEST OF ITS FACTORS FOR PRODUCT RETURNS REDUCTION

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Škapa R., Klapalová A.
Ekonomický časopis (Journal of Economics)
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2019
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vol. 67
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issue 1
86 – 104
EN
Within the context of reverse logistics (RL), only a few studies have focused on the management characteristics that lead to effectively implementing RL. From the myriad of potential factors of effective RL, the paper focuses on the role of knowledge management, 1st-tier integration and the extent of RL planning, as these factors and their mutual relations have been neglected by empirical research to date. The paper develops a theoretical model to fill this gap and tests it using structural equation modelling on primary data. The findings based on 146 cases support that knowledge management, the extent of RL planning and the level of integration with the 1st-tier supply chain members are the factors related to the effectiveness of RL. The study underpins the importance of long-term RL planning and deeper integration and collaboration with customers and suppliers for effective RL and so to reduce the negative impact of product returns.
2

ZELENÁ A REVERZNÁ LOGISTIKA AKO NÁSTROJ ZEFEKTÍVNENIA SPAĽOVANIA ODPADU V SLOVENSKEJ REPUBLIKE

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Brezina I., Dupal A., Pekár J.
Ekonomický časopis (Journal of Economics)
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2011
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vol. 59
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issue 2
132 – 147
EN
The paper presents a possible approach to the modelling of waste incinerators deployment in Slovakia within the purview of Green and Reverse logistics. Uneven distribution of certain waste incinerators types in the SR may lead to the efficiency reduction in waste collection and disposal. Building up the effective network of waste collection sites and waste incinerators depending on a type of waste and a number of separated components, this presumes to satisfy the requirements of acceptable availability. In this process, there can be as effective tools applied the location models, based on the theories and methods of Mathematical programming. In this paper the group of location models so as to optimise the deployment of waste incinerators is applied.
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