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Journal articles on the topic 'Risk analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Koza, Patrycja, and Jarosław Krzywański. "New method of occupational risk assessment – Risk Analysis." International Journal of Engineering and Safety Sciences 1 (2020): 69–84. http://dx.doi.org/10.16926/ijess.2020.01.05.

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The article presents a new method of risk assessment Risk Analysis. The first part of the article is an introduction that informs about the essence of risk assessment and addresses the lack of a parameter describing the impact of human behaviour on occupational risk in existing methods of risk assessment. The statistical information presented confirms the significant impact of human behaviour on the occurrence of an accident at work. The second chapter is devoted exclusively to the subject of risk assessment. The third chapter contains the main part of the article, i.e. the presentation of the author's own risk assessment method, which consists of an individually developed formula and parameters. The article presents the Risk Analysis method, as well as its features, which distinguish it from other methods. The method is characterized by accuracy, functionality, and an innovative approach to the subject of professional risk assessment.

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2

Kizilaslan, H., and N. Kizilaslan. "Risk analysis in Turkey milk production." Czech Journal of Food Sciences 25, No. 3 (January 7, 2008): 144–50. http://dx.doi.org/10.17221/743-cjfs.

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The present study has been done in order to determine the risks inherent in the milk production in Turkey. For that objective, factors such as the milk yield, the gross revenues realised, and the price levels as reflected to the producer’s benefits, have been taken into account. Upon the calculation of the measures for variables, fluctuations were found in the milk yield, prices, and gross revenues. Based on the hypothesis that the information possessed by the producer on the economic and technological developments is scarce and restrained, the variable coefficient has been calculated as 10.81% for yield, 23.26% for prices, and 30.01% for gross revenues, respectively. With the hypothesis that the producers are aware of and informed on the economic and technological developments, these ratios, that is to say, the fortuitous variable coefficients would be, respectively, 2.07%, 15.96%, and 16.07%. According to the conclusions reached, an environment in which the producers can take rational decisions concerning the milk production can be said not to exist. For this reason, the government intervention through efficient measures for the dairy production will be necessary. Furthermore, the producers should be given informational support through the published studies in the agricultural extension.

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3

Říhová Ambrožová, J., J. Říha, J. Hubáčková, and I. Čiháková. "Risk analysis in drinking water accumulation." Czech Journal of Food Sciences 28, No. 6 (December 13, 2010): 557–63. http://dx.doi.org/10.17221/98/2010-cjfs.

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Drinking water is safe water, from the perspective of long-term use is does not cause any disease, pathogenic and hygienically unsafe microorganisms do not spread in it and customers enjoy its consumption. Drinking water is regarded as a foodstuff, therefore the known HACCP system can be used in the control system which can be applied not only directly to the final product, but also to the whole system of drinking water production, distribution, and accumulation. Even if there is no problem concerning the water processing and the technological line is well adjusted, the quality of drinking water is subsequently deteriorated by its transportation and accumulation. The condition and character of the operated distribution network and reservoirs are significantly and substantially related to the maintenance of the biological stability and quality of drinking water. This is well confirmed by biological audits of the distribution networks and water reservoirs. A significant fact is the negative influence of the secondary contamination by air in the reservoir facilities and the occurrence of microorganisms (fungi, bacteria) in free water and in biofilms. The findings obtained in the framework of biological audits were so alarming that the outputs of biological audits contributed to the reconsideration of the efficiency of the standard for the construction and design of water reservoirs and pointed out the necessity of its review.

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4

K, Roopa. "Credit Risk Management - A Case Analysis." International Journal of Science and Research (IJSR) 12, no. 12 (December 5, 2023): 361–66. http://dx.doi.org/10.21275/sr231128152822.

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5

Viscusi, W. Kip. "Risk-risk analysis." Journal of Risk and Uncertainty 8, no. 1 (January 1994): 5–17. http://dx.doi.org/10.1007/bf01064083.

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6

Lund, Jay R. "A Risk Analysis of Risk Analysis." Journal of Contemporary Water Research & Education 140, no. 1 (September 2008): 53–60. http://dx.doi.org/10.1111/j.1936-704x.2008.00028.x.

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7

Van Groenendaal, Willem J. H. "Measuring Risk: Risk Analysis or Sensitivity Analysis?" IFAC Proceedings Volumes 28, no. 7 (July 1995): 443–50. http://dx.doi.org/10.1016/s1474-6670(17)47145-x.

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8

Cizek, Milan, Miroslav Mimra, Miroslav Kavka, and Jaroslav Humpal. "Analysis of economic risk in potatoes cultivation." Agricultural Economics (Zemědělská ekonomika) 65, No. 7 (July 17, 2019): 331–39. http://dx.doi.org/10.17221/319/2018-agricecon.

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A number of variables influences potatoes growing, including natural conditions, used growing technologies and market conditions. The most important parameters for the production of potatoes crops are yield, farmer’s price, subsidies and costs. All these parameters can change over time. This means that managers of farms must constantly assess the key parameters affecting the economic outturn and analyse the degree of risk of their achievement. This article analyses the economic risks of potatoes cultivation based on statistical data obtained over the last 10 years. The Monte Carlo stochastic simulation method was used to analyse the risk of gross profits. The results of the calculations confirmed the considerable variability and risk of growing potatoes in the climate conditions of the Czech Republic in general, and especially regarding the first early potatoes and potatoes for starch production.

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9

Liu, K. F. R., K. Yeh, M. J. Hung, C. W. Chen, and Y. S. Shen. "Health Risk Analysis of Indoor Air Pollution." International Journal of Environmental Science and Development 6, no. 6 (2015): 464–68. http://dx.doi.org/10.7763/ijesd.2015.v6.638.

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10

Kapoor Laxmi Ahuja, Tanya. "Cryptocurrency Financial Risk Analysis using Machine Learning." International Journal of Science and Research (IJSR) 12, no. 4 (April 5, 2023): 1117–21. http://dx.doi.org/10.21275/sr23417141525.

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11

Ziegel, Eric R. "Risk Analysis." Technometrics 44, no. 1 (February 2002): 95. http://dx.doi.org/10.1198/tech.2002.s676.

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12

Peters, George A. "Risk analysis." Technology, Law and Insurance 2, no. 3 (September 1997): 97–110. http://dx.doi.org/10.1080/135993797349795.

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13

Harjes, Ulrike. "Risk analysis." Nature Reviews Cancer 18, no. 2 (February 2018): 66. http://dx.doi.org/10.1038/nrc.2018.9.

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14

WILSON, RICHARD. "Risk analysis." Nature 322, no. 6082 (August 1986): 768. http://dx.doi.org/10.1038/322768b0.

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15

Austin, J. H. "Risk Analysis." Science 275, no. 5303 (February 21, 1997): 1049d—1053. http://dx.doi.org/10.1126/science.275.5303.1049d.

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16

Nehnevajsa, Jiri, and Ralph B. Swisher. "Risk Analysis." Prehospital and Disaster Medicine 1, S1 (1985): 316–18. http://dx.doi.org/10.1017/s1049023x00044964.

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Major risks to human health and life are, indeed, as old as life itself. Whether we think of epidemics, hunger and malnutrition, famines, wars, violations of human rights, crime, natural disasters and swarms of other dangers, we cannot but be struck by their pantemporality and ubiquitousness. Acute or chronic, periodic or sporadic, frequent or infrequent, these and other hazards are endemic to the very condition of human existence —unwanted but nonetheless real consequences of being alive and of being social.It is indeed quite plausible to view some of the central strands and trajectories of human history as efforts to cope with the hazardous conditions of existence: to prevent risks from actualizing, or to mitigate the consequences of hazards which do actualize—those which we have not yet as developed the capability to prevent, and those which we cannot hope to prevent.

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17

Ober, Pieter Bastiaan. "Risk analysis." Journal of Applied Statistics 36, no. 8 (June 18, 2009): 931. http://dx.doi.org/10.1080/02664760802695918.

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18

Dong, WANG. "Rethinking Risk Analysis: The Risks of Risk Analysis in Water Issues as the Case." Human and Ecological Risk Assessment: An International Journal 15, no. 6 (November 19, 2009): 1079–83. http://dx.doi.org/10.1080/10807030903304690.

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19

Peltier, Thomas R. "Risk Analysis and Risk Management." EDPACS 32, no. 3 (September 2004): 1–17. http://dx.doi.org/10.1201/1079/44581.32.3.20040901/83426.1.

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20

Peltier, Thomas R. "Risk Analysis and Risk Management." Information Systems Security 13, no. 4 (September 2004): 44–56. http://dx.doi.org/10.1201/1086/44640.13.4.20040901/83732.7.

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21

Peltier, T. R. "Risk analysis and risk management." IEEE Engineering Management Review 33, no. 1 (2005): 49. http://dx.doi.org/10.1109/emr.2005.25176.

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22

Newby, H. "Risk Analysis and Risk Perception." Process Safety and Environmental Protection 75, no. 3 (August 1997): 133–37. http://dx.doi.org/10.1205/095758297528959.

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23

DE SADELEER, Nicolas. "The Risk of Risk Analysis." European Journal of Risk Regulation 8, no. 1 (March 2017): 28–32. http://dx.doi.org/10.1017/err.2016.4.

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24

Sherif, Yosef S. "On risk and risk analysis." Reliability Engineering & System Safety 31, no. 2 (January 1991): 155–78. http://dx.doi.org/10.1016/0951-8320(91)90116-o.

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25

Vallinayagam V, Vallinayagam V., Tamizhselvan M. Tamizhselvan M, and Venkatesan P. Venkatesan P. "Clinical Trial Data Analysis Using Competing Risk Models." Global Journal For Research Analysis 3, no. 8 (June 15, 2012): 152–54. http://dx.doi.org/10.15373/22778160/august2014/51.

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26

Sobotka, P., and I. Vrana. "Automatic on-line risk analysis of suspicious transactions." Agricultural Economics (Zemědělská ekonomika) 53, No. 12 (January 7, 2008): 558–64. http://dx.doi.org/10.17221/1221-agricecon.

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Portion of the electronically processed agendas and transactions of all kinds constantly increases and also the volume and importance of the processed agendas grows. Therefore, the need for supervision and inspection of these transactions is also increasing. One possibility is to accomplish control e.g. with the use of specialised mining instruments. The main disadvantage of this approach is the fact that the discovered suspicious transaction was completed long ago and it is impossible to change it. In such a case, we need to inspect and evaluate transactions in the real time still before their completion. But the complexity of real-time analysis of transaction rapidly grows with the increasing set of aspects of this assessment. This paper describes the conception, architecture and possibilities to utilize a system which contains mainly the on-line risk analysis and simultaneously it enables an automatic adaptation by the means of utilizing conclusions from a feedback analysis of mining instruments of the data warehouse. This system is suitable e.g. for the automatic on-line analysis of risks of credit card payments, authenticity of the submitted projects (at university), the submitted tax or customs declarations, etc. Without any detriment to generality, we shall use the last mentioned application domain for explaining the system properties.

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27

Hapani, Kalindi. "Teratogenicity: analysis of European risk management plan summaries." Journal of Pharmacovigilance and Drug Research 4, no. 3 (September 1, 2023): 25–33. http://dx.doi.org/10.53411/jpadr.2023.4.3.5.

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28

Hansson, Sven Ove, and Terje Aven. "Is Risk Analysis Scientific?" Risk Analysis 34, no. 7 (June 11, 2014): 1173–83. http://dx.doi.org/10.1111/risa.12230.

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29

Haas, Charles. "Coronavirus and Risk Analysis." Risk Analysis 40, no. 4 (April 2020): 660–61. http://dx.doi.org/10.1111/risa.13481.

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30

Walls, Michael R., and Dana R. Clyman. "Risky choice, risk sharing and decision analysis." Resources Policy 24, no. 1 (March 1998): 49–57. http://dx.doi.org/10.1016/s0301-4207(98)00008-7.

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31

Hansson, Sven Ove. "Five caveats for risk–risk analysis." Journal of Risk Research 20, no. 8 (March 22, 2016): 984–87. http://dx.doi.org/10.1080/13669877.2016.1147493.

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32

Ezell, Barry Charles, and Detlof von Winterfeldt. "Probabilistic Risk Analysis and Bioterrorism Risk." Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science 7, no. 1 (March 2009): 108–10. http://dx.doi.org/10.1089/bsp.2009.0010.

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33

Okrent, David, and Nick Pidgeon. "Editorial Risk perception versus risk analysis." Reliability Engineering & System Safety 59, no. 1 (January 1998): 1–4. http://dx.doi.org/10.1016/s0951-8320(97)00345-1.

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34

Ezell, Barry Charles, Steven P. Bennett, Detlof von Winterfeldt, John Sokolowski, and Andrew J. Collins. "Probabilistic Risk Analysis and Terrorism Risk." Risk Analysis 30, no. 4 (April 2010): 575–89. http://dx.doi.org/10.1111/j.1539-6924.2010.01401.x.

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35

Izbosarov, Bakhrom, Samad Utaganov, Bekzod Sobirov, Jurabek Yakhyoev, and Abdulaziz Tojiyev. "BIOECOLOGY AND HARM OF WHITEFLIES AND PEST RISK ANALYSIS." American Journal of Agriculture and Biomedical Engineering 04, no. 05 (May 1, 2022): 41–45. http://dx.doi.org/10.37547/tajabe/volume04issue05-11.

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Whiteflies are very small insects (1.5-2 mm), resembling microscopic moths. The wings and body are covered with white powdery pollen. They reproduce sexually, the eggs are attached to the underside of the leaves, on the stems. They hibernate in the puparia phase (pupa) on fallen leaves, in cracks and hollows of trees. The development is complicated: the larvae of the first age are mobile, the next stages are immobile. The larvae then develop into a pupa (puparium). One generation develops within 1 month. In greenhouses it can breed all year round and give 8-10 generations.

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36

Bhujang, Raghavi K., and Suma V. "Risk Impact Analysis across the Phases of Software Development." Lecture Notes on Software Engineering 2, no. 3 (2014): 282–87. http://dx.doi.org/10.7763/lnse.2014.v2.137.

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37

TRZECIAK, Mateusz. "Analysis of risk management processes in the IT industry." Scientific Papers of Silesian University of Technology. Organization and Management Series 2020, no. 142 (2020): 95–106. http://dx.doi.org/10.29119/1641-3466.2020.142.7.

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38

AFANASIEVA, Maryna. "RISK ANALYSIS OF INEFFICIENCY AT UKRAINE’S MACHINE BUILDING ENTERPRISES." Economy of Ukraine 2019, no. 3 (April 2, 2019): 22–34. http://dx.doi.org/10.15407/economyukr.2019.03.022.

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The paper considers the risk identification of inefficiency concerning 51 Ukrainian joint-stock companies of machine building in 2012–2017. The value added at factor cost (VA) is determined as the resulting indicator of production efficiency, which is a source of income of various social groups, so it contributes to combined efforts. To support advanced production and management technologies, rather than an extensive market capture, the multiplicative model of VA has been suggested with the VA share in output to assess the quality processes within the enterprise. Economic analysis of the annual public financial statements and the structural statistics were conducted to study proportion between the cost elements in sum of expenses with link to profit in net turnover for the main operating activity. As a result the models of two types of risk coefficient have been proposed. It has been verified by statistical analysis. Data were checked on submission to normal distribution law by Shapiro – Wilk test and homogeneity by coefficient of variation. With the help of nonparametric analysis of variance by Kruskal – Wallis test and Spearman rank correlation coefficients; it has been proved that risk groups differ from other enterprises and from each other statistically significantly. We conclude that 37% of the sample enterprises are risky; a third of this is the large and medium-sized companies. Advantages of the method in comparison with Ward clusterization were shown. When making decisions about resource allocation, it should be confirmed that the enterprise is risk-free according to algorithms provided. To improve situation it needs to apply sustainable development concept.

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39

Tao, Kunwang, Liang Wang, and Xinlin Qian. "Multi-factor Constrained Analysis Method for Geological Hazard Risk." International Journal of Engineering and Technology 8, no. 3 (March 2016): 198–201. http://dx.doi.org/10.7763/ijet.2016.v6.884.

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40

Tao, Kunwang, Liang Wang, and Xinlin Qian. "Multi-factor Constrained Analysis Method for Geological Hazard Risk." International Journal of Engineering and Technology 8, no. 3 (March 2016): 198–201. http://dx.doi.org/10.7763/ijet.2016.v8.884.

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41

Belhassine, Olfa, and Amira Ben Bouzid. "Oil price risk in the Eurozone: a sectoral analysis." Problems and Perspectives in Management 15, no. 3 (October 12, 2017): 108–18. http://dx.doi.org/10.21511/ppm.15(3).2017.09.

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This study investigates how oil price movements impact the main Eurozone industry supersectors returns. We use a multifactor market model in which we incorporate oil price changes as an additional risk factor. In order to account for possible breaks in the relationship, we use the Bai and Perron (1998, 2003) breakpoints identification methodology. We find evidence of the presence of structural instabilities on the relationship between sector stock returns and oil price changes. Different breakpoints are identified, particularly the 2003 Iraq invasion year, the 2008 subprime crisis and the 2012 Euro debt crisis. Moreover, our results prove that stock return sensitivities to oil prices are time varying and sector dependent. Besides, the subprime financial crisis appears to induce a significantly positive effect on the oil-stock market nexus. However, the Euro debt crisis has a mostly negative effect. The other identified breakpoints do not seem to have any significant effect on the oil stock market nexus.

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42

Walasek, Dariusz. "PRACTICAL APPROACH TO THE RISK ANALYSIS OF CONSTRUCTION PROJECTS." Theory and Building Practice 2023, no. 2 (December 20, 2023): 77–84. http://dx.doi.org/10.23939/jtbp2023.02.077.

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A construction risk assessment is the calculated process of identifying project specific threats on a jobsite, then analysing and evaluating each risk factor to determine the likelihood, impact, and repercussions of each of those variables. That assessment creates awareness surrounding the risks/hazards identified, assess current risk prevention measures that are in-place to determine if they are sufficient or if further action needs to be taken, ensuring that any legal requirements or contract requirements are being met regarding risk and also deciding if additional controls need to be implemented or if changes need to be made to construction risk management strategy.

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43

HATTORI, Sadaiku. "Seismic Risk Analysis." Zisin (Journal of the Seismological Society of Japan. 2nd ser.) 41, no. 2 (1988): 189–94. http://dx.doi.org/10.4294/zisin1948.41.2_189.

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44

Piaszczyk, Artur. "FRAUD RISK ANALYSIS." Acta academica karviniensia 11, no. 4 (December 30, 2011): 169–78. http://dx.doi.org/10.25142/aak.2011.081.

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45

Wyzga, Ronald E. "Health Risk Analysis." Journal of the American College of Toxicology 1, no. 3 (March 1992): 99–100. http://dx.doi.org/10.3109/10915818209018021.

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46

Ziegel, Eric R., and David Vose. "Quantitative Risk Analysis." Technometrics 41, no. 4 (November 1999): 381. http://dx.doi.org/10.2307/1271374.

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47

Madhavan, Ananth N., and Jian Yang. "Practical Risk Analysis." Journal of Portfolio Management 30, no. 1 (October 31, 2003): 73–85. http://dx.doi.org/10.3905/jpm.2003.319921.

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48

Holden, William L. "Benefit-Risk Analysis." Drug Safety 26, no. 12 (2003): 853–62. http://dx.doi.org/10.2165/00002018-200326120-00002.

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49

Bathala, Chenchuramaiah T. "Practical Risk Analysis." CFA Digest 34, no. 2 (May 2004): 75–77. http://dx.doi.org/10.2469/dig.v34.n2.1435.

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50

Sullivan, Christopher J. "Extreme Risk Analysis." CFA Digest 40, no. 4 (November 2010): 63–65. http://dx.doi.org/10.2469/dig.v40.n4.9.

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