The Measurement and Decision-Making in the Risk Management of Information-Sharing on the Supply Chain

2010 ◽  
Author(s):  
Liu Jin ◽  
Wang Xue-Jun
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Information Sharing

scholarly journals Supply Chain Finance Factors: An Interpretive Structural Modeling Approach

2021 ◽  
Vol 29 (1) ◽  
pp. 88-111
Author(s):  
Zericho Marak ◽  
◽  
Deepa Pillai ◽  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Structural Modeling ◽  
Influential Factors ◽  
Previous Literature ◽  
Critical Factors ◽  
Interpretive Structural Modeling ◽  
Modeling Methodology ◽  
Supply Chain Finance

Purpose: The present study aims to identify the critical factors of supply chain finance and the interrelationship between the factors using interpretive structural modeling. Methodology: Factors of supply chain finance were identified from the literature and experts from both industry and academia were consulted to assess the contextual relationships between the factors. Then, we applied interpretive structural modeling to examine the interrelationships between these factors and find out the critical factors. Findings: The model outcome indicates information sharing and workforce to be the most influential factors, followed by the automation of trade and financial attractiveness. Originality/value: Previous literature identified various factors that influence supply chain finance. However, studies showing interrelationships between these factors are lacking. This study is unique in the field as it applies total interpretive structural modeling for assessing the factors that affect supply chain finance. Our model will aid practitioners’ decision-making and the adoption of supply chain finance by providing a necessary framework.

ENTERPRISES APPROACHES TO INFORMATION SHARING IN SUPPLY CHAIN RISK MANAGEMENT

2020 ◽  
Vol 21 (2) ◽  
pp. 137-151
Author(s):  
Marcin Komańda ◽  
Edyta Klosa
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information Sharing ◽  
Organizational Structures ◽  
Complex Nature ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Significant Relationships ◽  
Policy Models ◽  
Interpretative Framework

Complex nature and rapidly changing environment of contemporary supply chains make them highly vulnerable to risk. Key facilator of supply chain risk management is information being shared among partners. Thus the aim of this paper is to highlight supply chain members’ approaches to sharing information supporting risk management. To achieve this goal, assumptions related to information policy models in organizational structures have been adopted, broadening the cognitive perspective of the discussed problem. The article is based on data collected from 197 respondents representing enterprises operating in Poland through a survey conducted with paper self-administered questionnaires (PSAQs). The method used applied a nonrepresentative sampling. The results obtained suggest that among studied companies there are three frequently co-ocuring practices forming eight approaches to risk information sharing in the supply chain. These findings, together with demonstrated significant relationships with control variables, create a unique descriptive and interpretative framework of the discussed issue.

How internal integration, information sharing, and training affect supply chain risk management capabilities

2016 ◽  
Vol 46 (10) ◽  
pp. 953-980 ◽  
Author(s):  
Jason M. Riley ◽  
Richard Klein ◽  
Janis Miller ◽  
V. Sridharan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information Sharing ◽  
Operational Performance ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Internal Integration ◽  
Supply Chain Risks ◽  
And Training

Purpose The purpose of this paper is to determine if internal integration, information sharing, and training constitute direct antecedents to organizations’ warning and recovery capabilities. Assuming that organizations periodically face various supply chain risks, the authors intend to show that managers can develop these antecedent competencies in ways that bolster their supply chain risk management (SCRM) capabilities. Design/methodology/approach To understand the relationships between the antecedents and SCRM capabilities, the authors used Q-sorts and confirmatory factor analysis to develop new warning and recovery measures. The authors then collected survey data from 231 hospital supply managers and analyzed these records using structural equation modeling. Findings The results indicate that internal integration and training positively affect organizations’ warning and recovery capabilities, in both a direct and indirect manner. The authors also illustrate how managers can leverage their SCRM capabilities to affect operational performance. Research limitations/implications These results suggest that by developing antecedent competencies like internal integration and training, firms may bolster their warning and recovery capabilities, and ultimately operational performance of the organization. Originality/value The findings provide hospital supply organizations and other inventory management teams with a novel approach to managing an evolving array of supply chain risks. Rather than investing in costly risk management techniques, like inventory stocks, organizations can use internal integration and training to improve their SCRM capabilities.

scholarly journals Blood Supply Chain Risk Management using House of Risk Model

2018 ◽  
Vol 16 (8) ◽  
pp. 573-591
Author(s):  
Wijai BOONYANUSITH ◽  
Phongchai JITTAMAI
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information Sharing ◽  
Blood Supply ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Demand And Supply ◽  
Management Actions ◽  
Blood Supply Chain

Managing blood supply chain has been an important task in the healthcare system because it has to confront not only blood demand and supply uncertainties but also complexities in blood inventory management. In order to overcome these challenges, it is essential to explore the possible risks that could occur in the blood supply chain and discover proper ways to manage these risks. Therefore, this research aims to investigate risks in blood supply chain by using a proactive risk management tool called ‘house of risk’ (HOR) model, in order to conduct risk assessment and evaluate risk management actions. A case study of blood supply chain risk management was analyzed, and the HOR model was incorporated to appraise the appropriate actions in the real situation. The results indicate that there are 30 risk events and 16 risk agents identified and assessed in the case study. The outcomes point out that lack of collaboration, insufficient information for decision-making, and limited information sharing are the top 3 risk agents that contribute to significant impact on blood supply chain management. Risk mitigation and management actions were evaluated and the results show that enhancing the collaboration is the most proactive action to manage risks in the blood service operations, followed by information sharing, and demand and supply statistical analysis. The study has recommended the outlines for improving collaboration between blood service organizations by using information system and technology to mitigate risks, complexities, as well as uncertainties in managing demand and supply in the blood supply chain.

scholarly journals Strategies and effective decision-making against terrorism affecting supply chain risk management and security

2018 ◽  
Vol 118 (7) ◽  
pp. 1528-1546 ◽  
Author(s):  
Muhammad Naveed Khan ◽  
Pervaiz Akhtar ◽  
Yasmin Merali
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Knowledge Gaps ◽  
Content Type ◽  
Related Risk ◽  
Effective Decision ◽  
Effective Decision Making

Purpose The purpose of this paper is to investigate the knowledge gaps in the published research on terrorism-related risk in supply chains, and to develop a framework of strategies and effective decision-making to enable practitioners to address terrorism-related risks in supply chain risk management (SCRM) and security. Design/methodology/approach The study adopts a novel combination of triangulated methods comprising a systematic literature review (SLR), text mining and network analysis. These methods have not been jointly utilized in past studies, and the approach constitutes a rigorous methodology that cross-validates results and ensures the reliability and validity of qualitative data. Findings The study reveals a number of key themes in the field of SCRM and security linked with terrorism. The authors identify relevant mitigation strategies and practices for effective strategic decision making. This subsequently leads us to develop a strategic framework of strategies and effective decision-making practices to address terrorism-related risk, affecting SCRM and security. The authors also identify key knowledge gaps in the literature and explore the main contributions by disciplines (e.g. business schools, engineering and maritime institutions) and countries. Practical implications The authors provide a strategic framework of strategies and effective decision-making practices that managers can use to minimize terrorism-related risk in the context of SCRM and security. Originality/value This paper introduces a novel methodological combination for improving the quality of SLRs. It uses the approach to systematically review the strategies and effective decision-making practices interlinked with terrorism risk, affecting SCRM and security. It identifies significant knowledge gaps and defines directions for future research.

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