scholarly journals Review on supply chain network metrics

2020 ◽  
Vol 13 ◽  
pp. 173-206
Author(s):  
Sajad Kazemi ◽  
Keyword(s):  
Supply Chain ◽  
Network Analysis ◽  
Supply Chain Network ◽  
Organizational Relationships ◽  
Supply Chain Networks ◽  
Relational Properties ◽  
And Performance ◽  
Network Metrics ◽  
Network Analysis Metrics

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.

scholarly journals Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-30 ◽  
Author(s):  
Izunildo Cabral ◽  
Antonio Grilo
Keyword(s):  
Supply Chain ◽  
Current Knowledge ◽  
Value Added ◽  
Network Effect ◽  
Supply Chain Network ◽  
Organizational Relationships ◽  
Supply Chain Networks ◽  
Starting Point ◽  
Business Interoperability

This paper proposes an agent-based model for evaluating the effect of business interoperability on the performance of cooperative supply chain networks. The model is based on insights from the Industrial Marketing and Purchasing network approach and the complex systems theory perspective. To demonstrate its applicability, an explanatory case study regarding a Portuguese reverse logistics cooperative supply chain network is presented. Face-to-face interviews and forms were used to collect data. The findings show that the establishment of appropriate levels of business interoperability has helped to reduce several non-value-added interaction processes and consequently improve the operational performance of the Valorpneu network. Regarding the research implications, this paper extends the current knowledge on business interoperability and an important problem in business: how business interoperability gaps in dyadic organizational relationships affect the network of companies that the two companies belong to—network effect. In terms of practical implications, managers can use the proposed model as a starting point to simulate complex interactions between supply chain network partners and understand better how the performance of their networks emerges from these interactions and from the adoption of different levels of business interoperability.

scholarly journals A Privacy Preserving Approach to Collaborative Systemic Risk Identification: The Use-Case of Supply Chain Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-18
Author(s):  
Tirazheh Zare-Garizy ◽  
Gilbert Fridgen ◽  
Lars Wederhake
Keyword(s):  
Supply Chain ◽  
Structural Information ◽  
Risk Identification ◽  
Use Case ◽  
Supply Chain Network ◽  
Strategic Positioning ◽  
Supply Chain Networks ◽  
Structural Risk ◽  
Main Factors ◽  
Network Risk

Globalization and outsourcing are two main factors which are leading to higher complexity of supply chain networks. Due to the strategic importance of having a sustainable network, it is necessary to have an enhanced supply chain network risk management. In a supply chain network many firms depend directly or indirectly on a specific supplier. In this regard, unknown risks of network’s structure can endanger the whole supply chain network’s robustness. In spite of the importance of risk identification of supply chain network, firms are not willing to exchange the structural information of their network. Firms are concerned about risking their strategic positioning or established connections in the network. The paper proposes to combine secure multiparty computation cryptography methods with risk identification algorithms from social network analysis to address this challenge. The combination enables structural risk identification of supply chain networks without endangering firms’ competitive advantage.

scholarly journals Mathematical modeling for optimizing the blood supply chain network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amir Rahimzadeh Dehaghani ◽  
Muhammad Nawaz ◽  
Rohullah Sultanie ◽  
Tawiah Kwatekwei Quartey-Papafio
Keyword(s):  
Supply Chain ◽  
Blood Supply ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Nsga Ii ◽  
Content Type ◽  
Supply Chain Networks ◽  
Multi Objective ◽  
Blood Supply Chain ◽  
The Cost

PurposeThis research studies a location-allocation problem considering the m/m/m/k queue model in the blood supply chain network. This supply chain includes three levels of suppliers or donors, main blood centers (laboratories for separation, storage and distribution centers) and demand centers (hospitals and private clinics). Moreover, the proposed model is a multi-objective model including minimizing the total cost of the blood supply chain (the cost of unmet demand and inventory spoilage, the cost of transport between collection centers and the main centers of blood), minimizing the waiting time of donors in blood donating mobile centers, and minimizing the establishment of mobile centers in potential places.Design/methodology/approachSince the problem is multi-objective and NP-Hard, the heuristic algorithm NSGA-II is proposed for Pareto solutions and then the estimation of the parameters of the algorithm is described using the design of experiments. According to the review of the previous research, there are a few pieces of research in the blood supply chain in the field of design queue models and there were few works that tried to use these concepts for designing the blood supply chain networks. Also, in former research, the uncertainty in the number of donors, and also the importance of blood donors has not been considered.FindingsA novel mathematical model guided by the theory of linear programming has been proposed that can help health-care administrators in optimizing the blood supply chain networks.Originality/valueBy building upon solid literature and theory, the current study proposes a novel model for improving the supply chain of blood.

scholarly journals Improving retail supply flexibility using buyer-supplier relational capabilities

2017 ◽  
Vol 37 (3) ◽  
pp. 343-362 ◽  
Author(s):  
Raymond Obayi ◽  
S.C. Koh ◽  
David Oglethorpe ◽  
Seyed M. Ebrahimi
Keyword(s):  
Supply Chain ◽  
Supplier Relationships ◽  
Chain Flexibility ◽  
Content Type ◽  
Mediating Role ◽  
Supply Chain Flexibility ◽  
And Performance ◽  
Relational Capabilities ◽  
Practical Implications

Purpose The purpose of this paper is to investigate the mediating role of three important relational capabilities – absorptive capacity (AC), transactive memory systems (TMS), and organisational interoperability (OI); on the flexibility of buyer-supplier relationships and performance in retail supply chains. Drawing on the relational view of strategic management, the impact of relational capabilities on two forms of supply chain flexibility is examined – configuration flexibility (CF) for switching suppliers with minimal penalties, and planning and control flexibility (PCF) for altering supply schedules, quality, and delivery lead-time. Design/methodology/approach Strategic- and tactical-level managers from 211 retail stores in the UK were surveyed. The authors validated a measurement model with structural equation modelling and tested four hypotheses on the mediating role of relational capabilities on supply chain flexibility and retail performance, controlling for size, duration of relationship, and market segment. Findings Results showed that the three relational capabilities partially mediated the positive effect of CF and PCF on operational performance in big middle and niche retailers. Examining the interaction effect of the forms of flexibility on the relational capabilities and performance, the authors found positive interaction effects on TMS and OI but a non-significant effect on AC. Practical implications In addition to providing novel theoretical insights on supply chain flexibility, the findings have practical implications for supplier selection and buyer-supplier relationship management. Originality/value Overall, the study highlights the impacts of relational capabilities on adopted operational strategies such as flexibility, buyer-supplier relationships, and retail performance.

The Role of Knowledge Transfer in Supply Chain Flexibility and Performance

2018 ◽  
pp. 465-485 ◽  
Author(s):  
José Roberto Díaz-Reza ◽  
Valeria Martínez-Loya ◽  
Jorge Luis García Alcaraz ◽  
Ismael Canales-Valdiviezo
Keyword(s):  
Supply Chain ◽  
Knowledge Transfer ◽  
Chain Flexibility ◽  
Supply Chain Flexibility ◽  
And Performance

scholarly journals Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Opinion Leaders ◽  
Information Flows ◽  
Network Metrics ◽  
Network Analysis Metrics

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.

Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation

2019 ◽  
Vol 15 (2) ◽  
pp. 54-68 ◽  
Author(s):  
Jian Tan ◽  
Guoqiang Jiang ◽  
Zuogong Wang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Evolutionary Game ◽  
Supply Chain Network ◽  
Agent Based Simulation ◽  
Control Cost ◽  
Agent Based ◽  
Supply Chain Networks ◽  
Network Information ◽  
Sharing Behavior

In the supply chain network, information sharing between enterprises can produce synergistic effect and improve the benefits. In this article, evolutionary game theory is used to analyse the evolution process of the information sharing behaviour between supply chain network enterprises with different penalties and information sharing risk costs. Analysis and agent-based simulation results show that when the amount of information between enterprises in supply chain networks is very large, it is difficult to form a sharing of cooperation; increase penalties, control cost sharing risk can increase the probability of supply chain information sharing network and shorten the time for information sharing.

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