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    <ns1:title language="en">Factor determination and reverse logistics modeling</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Summary
Reverse logistics management has been the subject of scientific and practical
attention for a few decades now. An additional interest for this topic has arisen during
the last decade, due to a growing number of business entities it affects and the insight
into the strategic potential of adequately managing the reverse logistics flows. Up to
now, practical research and empirical confirmation regarding reverse logistics
management has been scarce, and the question of defining elements, i.e. factors which
determine the reverse logistics flows has remained without a complete answer. In time,
various authors have tried to solve this question by setting certain guidelines and
models which comprehensively show factors considered to be of key importance for the
realization of the reverse logistics flows. The subject of this paper is to analyze in depth
such existing models. After defining the very term of reverse logistics, the carried out
model analysis respects the dynamic time component, first focusing on the theoretical
model in this area- the Carter-Ellram model, and later on to the one empirically
confirmed- the contemporary reverse logistics model. The aim of this paper is threefold.
First, to explain the evolution of the meaning of reverse logistics. Second, to revise the
two approaches which most comprehensively define the set of factors considered to be
of most importance for the reverse logistics management. Thirdly, it is necessary to
compare the factors identified within the theoretical model, with the ones generated
empirically, in order to see the similarities and certain differences among them.</ns1:description>
    <ns1:keyword language="en">Key words: Reverse logistics management, Reverse logistics factors, the Carter-Ellram model, the contemporary reverse logistics model</ns1:keyword>
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      <ns2:identifier>10.22598/pi-be/2020.14.1.109</ns2:identifier>
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        <ns3:institution>Univerzitet u Beogradu Ekonomski fakultet</ns3:institution>
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        <ns3:firstname>Veljko</ns3:firstname>
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    <ns12:name_magazine language="sr">Poslovna izvrsnost</ns12:name_magazine>
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