Comparison of Country Risk, Sustainability and Economic Safety Indices

Stankevičienė, Jelena; Sviderskė, Tatjana; Miečinskienė, Algita

doi:10.3846/btp.2014.01

Cited by 13 publications

(7 citation statements)

References 22 publications

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“…Basic theoretical provisions on security and features of security potential can be found in the works of Avanesova & Chuprin [1], Lielgaidina & Geipele [2] and Stankevičienė et al [3].…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Process of Forming the Safety Potential of Engineering Enterprises

Kryshtanovych¹,

Kubiniy²,

Marhitich³

et al. 2021

IJSSE

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The main purpose of the study is to form a methodological approach to modeling the process of forming a safety potential for engineering enterprises. The main method used was the method of multi-criteria assessment of alternatives and the matrix of paired comparisons. An assessment was made of alternative options for ensuring the security of the potential of engineering enterprises for different resource requirements. The study has certain limitations related to the fact that the data and enterprises that were used relate to the engineering ones of Eastern Europe. The results of calculating a rational option for ensuring the safety potential of engineering enterprises for different needs in material, financial, personnel and organizational resources by the method of multi-criteria assessment of alternatives can be used in the future to improve monitoring in practice. The main issues considered during the study were to determine the security potential of the engineering company, to determine the resources needed to ensure the security potential. This methodology allows through comparison of certain indicators or indicators, to determine which management decision is most appropriate to the existing situation. The value of the study lies in the formation of a scientific and practical approach to the formation of the safety potential of engineering enterprises, the use of which, in contrast to the existing ones, is based on the use of methods for multi-criteria assessment of alternatives and a matrix of paired comparisons for the advantage of options.

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“…Basic theoretical provisions on security and features of security potential can be found in the works of Avanesova & Chuprin [1], Lielgaidina & Geipele [2] and Stankevičienė et al [3].…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Process of Forming the Safety Potential of Engineering Enterprises

Kryshtanovych¹,

Kubiniy²,

Marhitich³

et al. 2021

IJSSE

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“…There is an assumption, proposed by the authors, that all three variables are interrelated with each other in one or another direction/dependence. This hypothesis has been already proved by several scientific researches (Stankevičienė, Sviderskė, & Miečinskienė, 2014;Stankevičienė & Sviderskė, 2012).…”

Section: Analysis Of Country Risk and Economic Security Variablesmentioning

confidence: 60%

Relationship between Economic Security and Country Risk Indicators in EU Baltic Sea Region Countries

Stankevičienė

Sviderskė

Miečinskienė

2013

EBER

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“…Political instability, changes in economic policy, economic turbulence and exchange rate volatility are all factors that lead to pronounced country business risk. Due to the proliferation of global supply chains, country risk analysis has become increasingly important as firms attempt to define the potential for these risk events (Stankevičienė et al , 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Benchmarking supplier external risk factors in electronic equipment industry supply chains

Lockamy

2018

BIJ

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Purpose The global electronic equipment industry has evolved into one of the most innovative technology-based business sectors to transpire in the last three decades. Much of its success has been attributed to effective supply chain management. The purpose of this paper is to provide an examination of external risk factors associated with the industry’s key suppliers through the creation of Bayesian networks which can be used to benchmark external risks among these suppliers. Design/methodology/approach The study sample consists of the suppliers to seven of the leading global electronic equipment companies. Bayesian networks are used as a methodology for examining the supplier external risk profiles of the study sample. Findings The results of this study show that Bayesian networks can be effectively used to assist managers in making decisions regarding current and prospective suppliers with respect to their potential impact on supply chains as illustrated through their corresponding external risk profiles. Research limitations/implications A limitation to the use of Bayesian networks for modeling external risk profiles is the proper identification of risk events and risk categories that can impact a supply chain. Practical implications The methodology used in this study can be adopted by managers to assist them in making decisions regarding current or prospective suppliers vis-à-vis their corresponding external risk profiles. Originality/value As part of a comprehensive supplier risk management program, companies along with their suppliers can develop specific strategies and tactics to minimize the effects of supply chain external risk events.

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Comparison of Country Risk, Sustainability and Economic Safety Indices

Cited by 13 publications

References 22 publications

Modeling the Process of Forming the Safety Potential of Engineering Enterprises

Modeling the Process of Forming the Safety Potential of Engineering Enterprises

Relationship between Economic Security and Country Risk Indicators in EU Baltic Sea Region Countries

Benchmarking supplier external risk factors in electronic equipment industry supply chains

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