Stochastic perspective of industrial distribution network processes

This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the id...

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Published in:	Industrial marketing management Vol. 40; no. 6; pp. 979 - 987
Main Authors:	Sheresheva, Marina Y., Kolesnik, Nadezda A.
Format:	Journal Article
Language:	English
Published:	New York Elsevier Inc 01.08.2011 Elsevier Elsevier Sequoia S.A
Subjects:	b2b relationships Decision making Distribution Distribution channels Distribution networks Industrial market Industrial markets Markov analysis Markov chains Markov-Kette Markovian processes Mate selection Networks Probability theory Russia Russland Stochastic models Studies Supply Supply chains Unternehmensnetzwerk Vertrieb Russia Markov chains Distribution networks b2b relationships
ISSN:	0019-8501, 1873-2062
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Abstract	This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory. We consider a distribution network in a stochastic way, where a focal agent optimizes the distribution chain at each decision-making node by switching between possible partners. This allows us to apply time-homogeneous Markov chains theory to explore the partner selection process. We present an approach that allows for the estimating of implicit non-price variables of partner choice in a supply chain. The approach is based on the research context of the transitional Russian economy. ► Modeling distribution network processes using tools of probability theory. ► Apply Markov chains to the process of choosing partner. ► Propose an approach to estimation non-price variables.
AbstractList	This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory. We consider a distribution network in a stochastic way, where a focal agent optimizes the distribution chain at each decision-making node by switching between possible partners. This allows us to apply time-homogeneous Markov chains theory to explore the partner selection process. We present an approach that allows for the estimating of implicit non-price variables of partner choice in a supply chain. The approach is based on the research context of the transitional Russian economy. [PUBLICATION ABSTRACT] This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory. We consider a distribution network in a stochastic way, where a focal agent optimizes the distribution chain at each decision-making node by switching between possible partners. This allows us to apply time-homogeneous Markov chains theory to explore the partner selection process. We present an approach that allows for the estimating of implicit non-price variables of partner choice in a supply chain. The approach is based on the research context of the transitional Russian economy. ► Modeling distribution network processes using tools of probability theory. ► Apply Markov chains to the process of choosing partner. ► Propose an approach to estimation non-price variables. This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests itself in a growing number of network-type distribution chains. Based on the evolutionary trends in distribution research, we came up with the idea to investigate distribution networks processes using mathematical tools of probability theory. We consider a distribution network in a stochastic way, where a focal agent optimizes the distribution chain at each decision-making node by switching between possible partners. This allows us to apply time-homogeneous Markov chains theory to explore the partner selection process. We present an approach that allows for the estimating of implicit non-price variables of partner choice in a supply chain. The approach is based on the research context of the transitional Russian economy. All rights reserved, Elsevier
Author	Sheresheva, Marina Y. Kolesnik, Nadezda A.
Author_xml	– sequence: 1 givenname: Marina Y. surname: Sheresheva fullname: Sheresheva, Marina Y. email: m.sheresheva@mail.ru organization: National Research University – Higher School of Economics, Faculty of Management, Moscow, 33 Kirpichnaya str., aud.808, Russia – sequence: 2 givenname: Nadezda A. surname: Kolesnik fullname: Kolesnik, Nadezda A. email: nadezda.kolesnik@mail.ru organization: National Research University – Higher School of Economics, Faculty of Management, Moscow, 33 Kirpichnaya str., aud.730, Russia
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Snippet	This article investigates contemporary distribution processes in the industrial market. The main trend in distribution during the recent decades manifests...
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SubjectTerms	b2b relationships Decision making Distribution Distribution channels Distribution networks Industrial market Industrial markets Markov analysis Markov chains Markov-Kette Markovian processes Mate selection Networks Probability theory Russia Russland Stochastic models Studies Supply Supply chains Unternehmensnetzwerk Vertrieb
Title	Stochastic perspective of industrial distribution network processes
URI	https://dx.doi.org/10.1016/j.indmarman.2011.06.021 http://www.econis.eu/PPNSET?PPN=671548824 https://www.proquest.com/docview/887246137 https://www.proquest.com/docview/896019121
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