Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation

Sreedevi, R.; Saranga, Haritha

doi:10.1016/j.ijpe.2017.07.024

Cited by 279 publications

(253 citation statements)

References 87 publications

Supporting

Mentioning

238

Contrasting

Unclassified

Order By: Relevance

“…There is a dearth of theoretical and empirical research in the field of SCRM (Sreedevi and Saranga, 2017). There are only a few theories that consider SCRM in their theoretical perspectives (Cantor et al, 2014;Kilubi, 2016).…”

Section: Transaction Cost Theorymentioning

confidence: 99%

Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

Waqas

Rahman

Ismail

et al. 2019

View full text Add to dashboard Cite

There is a dearth of empirical and theoretical investigation in the field of supply chain risk management. Even though SCRM is an important component in supply chain management research, there is still a lack of understanding regarding the term and the concept to develop advantageous SCRM. In the literature of SCRM, different aspects have been discussed, for instance, risk identification, risk assessment, risk management strategies, risk monitoring, and contingency plans. Supply chain risks are increasing because of multiple outsourced partners linked with each other making it more complex, along with this, business is also uncertain, so these scenarios increase supply chain risks. Knowledge management has been used to know about the market scenarios and the information of trading partners and supply chain managers from different firms to know about the uncertainty or risks. However, the discussion shows that the efficient implication of KM capabilities on the SCRs and SCRM is still lacking. This paper provides a comprehensive conceptual framework on the effect of knowledge management within supply chain risk and supply chain risk management.

show abstract

Section: Transaction Cost Theorymentioning

confidence: 99%

Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

Waqas

Rahman

Ismail

et al. 2019

View full text Add to dashboard Cite

show abstract

“…To mitigate this situation, SC members ought to establish strong long term relationship to leverage information and resources. Which results in minimizing and sharing risks [4], reduce product development cost, reduce logistics cost, improve productivity, reduce inventory across SC, access scarce resources, improve quality and lot more. Internet based information and communication technology has helped to share real time info among members of SC to optimally use the resources and value creation [5].…”

Section: Literature Surveymentioning

confidence: 99%

Optimization of A Five-Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms

Kumar¹,

Anbuudayasankar²

2019

IJITEE

View full text Add to dashboard Cite

Technology has shrunk the global markets and information is accessible very quickly and effortlessly. Business organizations world over concentrate on their production systems to improve the quality of the end product, well distribute the product and optimize cost of resources. Transportation cost, inventory carrying cost and shortage costs constitute the major costs in cost of distribution. A competent supply chain always strives to manufacture the right quantity of end products and hold a minimum inventory across the entire supply chain. In thecurrent paper, a five echelon supply chain model is developed and it is optimized using particle swarm intelligence algorithm.

show abstract

“…Generally, the difference of one research with the others is focused on dimensional competitive priorities or manufacturing capabilities measurement. Skinner, 1969;Huang et al, 2002;Zhao, Sum, Qi, Zhang & Lee, 2006;Kim, 2006;Banchuen et al, 2017;Sreedevi & Saranga, 2017 Is a functional strategy level which is encouraged to generate a competitive excellence in the field of operation that can be used to encourage the company to maintain a competitive position 4 dimensions of manufacturing strategy, they are competing priorities in terms of (1) cost leadership (2) the superiority of quality;…”

Section: The Conception and Typology Of Operating Strategymentioning

confidence: 99%

“…This is in line with the opinion of Yinan et al (2017) who holds technological alignment as a leverage factor of alignment of manufacturing strategy and supply chain strategy with performance. Supply chain strategy groups which are oriented on speed in responding a change focuses on supply flexibility, while efficiency-oriented ones focus more on manufacturing flexibility (Sreedevi & Saranga, 2017).…”

Section: The Framework For the Development Of An Empirical Model Of Smentioning

confidence: 99%

Strategic consensus between functions and the role of supply chain technology as moderator

Kusmantini

Haryono

Untoro

et al. 2018

JIEM

View full text Add to dashboard Cite

Purpose: This study aims to identify whether the degree of fit of the correlation between high supply chain and manufacturing strategy will result in a better performance.Design/methodology/approach: Strategic alignment test between the functions uses 102 SMEs in Yogyakarta as, Indonesia with purposive sampling technique. The data are collected by distributing questionnaires to the companies that qualify the criteria of the sample, respondent target are procurement manager, production and IT.Findings: Samples are grouped into two ideal types of strategies used mean split technique. 53 SMEs adopt ASCS (Agile Supply Chain Strategy) and 49 SMEs adopt LSCS (Lean Supply Chain Strategy). Two of the strategy groups have a low value of misfit score; it means that the degree of fit between supply chain strategy and manufacturing strategy is high. The result of simple regression test by using one side technique shows that a regression coefficient values is negative both in LSCS and ASCS group, but the hypothesis test is only proven on ASCS group while LSCS group is not significant.Research limitations/implications: (1) The empirical finding of bivariate fit model test encourage a research space to explore the other contingent variable besides manufacturing strategy. For example, business and information technology strategy; (2) The measurement of the company performance becomes the objective of the success of the alignment of supply chain strategy with the contingent variable which should be specified using the performance variable of the supply chain.Originality/value: The use of Euclidean distance formula is expected to cover the technical limitations of contingency test by using interaction approach between the complex variables; the value of misfit score reflects the extent to which program alignment between the company functions.

show abstract

Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation

Cited by 279 publications

References 87 publications

Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management

Optimization of A Five-Echelon Supply Chain Network using Particle Swarm Intelligence Algorithms

Strategic consensus between functions and the role of supply chain technology as moderator

Contact Info

Product

Resources

About