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Contributions to Game Theory and Management, 2020, том 13, страницы 173–206
(Mi cgtm365)
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Review on supply chain network metrics
Sajad Kazemi Graduate School of Management, St. Petersburg State University, St. Petersburg, 199034, Russia
Аннотация:
Recent studies focused on the importance of adopting network
analysis approaches such as social network analysis in the supply
chain networks to better understand and manage the roles of
organizations in inter-organizational relationships. The main aim of
this research is to identify and integrate network analysis metrics
in the existent literature in this realm which is applicable to
characterize the position and role of organizations in the supply
chain network context and their impact on the behavior and outcomes
of organizations and the whole supply chain network.
To this aim, we followed a systematic literature review process
using Scopus database to identify high-quality papers through
several screening stages. Our findings illustrate that there are two
main sources of interfirm differences including atomistic properties
and relational properties. With an emphasis on relational properties
through the lens of network analysis metrics, we integrated
influential characteristics on actor’s behavior and performance
into three main categories of node level, tie level, and network
level.
Our findings are applicable to address any emergent phenomenon and
the roles of actors based on their position in the network context
such as supply chain network and study their behavior and
performance.
Ключевые слова:
Supply chain network, inter-organizational
relationships, network analysis, social network analysis, supply
chain network metrics.
Образец цитирования:
Sajad Kazemi, “Review on supply chain network metrics”, Contributions to Game Theory and Management, 13 (2020), 173–206
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/cgtm365 https://www.mathnet.ru/rus/cgtm/v13/p173
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Страница аннотации: | 107 | PDF полного текста: | 36 | Список литературы: | 15 |
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