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Journal articles on the topic 'Structure of risks'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Hasanov, T. I., A. A. Kurkin, S. A. Fedorov, E. A. Zyza, and V. A. Ponomarenko. "STRUCTURE UNCERTAINTIES INFLUENCE ON GEOLOGICAL RISKS." Oil and Gas Studies, no. 2 (May 1, 2016): 32–40. http://dx.doi.org/10.31660/0445-0108-2016-2-32-40.

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The article described a method for assessment of the structure uncertainty. It presents a description of the accepted concept on calculation of the structure uncertainties for the period of 1984. The advantages and draw-backs of the offered method are considered. Additionally the calculation of the structure uncertainty error is described by step-by-step manner. It also covers some problems that have occurred as a result of error spatial distribution at calculations.

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2

Dhaene, Jan, and Michel Denuit. "The safest dependence structure among risks." Insurance: Mathematics and Economics 25, no. 1 (1999): 11–21. http://dx.doi.org/10.1016/s0167-6687(99)00009-8.

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3

Liu, Dunxu. "The Benefits and Risks of Chinese VIE Firms." Advances in Economics, Management and Political Sciences 142, no. 1 (2024): 14–19. https://doi.org/10.54254/2754-1169/2024.ld18575.

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The VIE structure is a unique structure widely used by Chinese companies, especially in industries with restricted foreign investment. Through this structure, Chinese companies can allow foreign investors to indirectly invest money and receive profits through complex contractual agreements without violating domestic and foreign investment restrictions. The operating mechanism of the VIE structure can bring convenience to Chinese companies, provide them with opportunities to enter the international capital market, help them circumvent foreign investment access restrictions, improve company valu

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4

Feronica Damanik, Mariana, Yusuf Latief, and Danang Budi Nugroho. "Analysis of Relation Between Risk-Based Work Breakdown Structure (WBS) on Integrated Design and Construction Works of Design and Build Contract on Mechanical and Electrical Works of High Rise Building for Improving Safety Performance." International Journal of Science, Technology & Management 4, no. 4 (2023): 872–77. http://dx.doi.org/10.46729/ijstm.v4i4.860.

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The construction industry has had the highest accident rate worldwide for decades. Identifying risks as early as feasible during the pre-construction or design phase is essential to preventing construction accidents. To generate a structured list of risks, a Work Breakdown Structure (WBS) is used to identify risks. Although numerous studies have proposed using Work Breakdown Structure (WBS) to identify risks, no one has analyzed the relationship between Work Breakdown Structure (WBS) and risk to reduce construction accidents. Consequently, this study aimed to investigate the impact of Work Bre

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5

Chen, Yiqing, Jiajun Liu, and Fei Liu. "Ruin with insurance and financial risks following the least risky FGM dependence structure." Insurance: Mathematics and Economics 62 (May 2015): 98–106. http://dx.doi.org/10.1016/j.insmatheco.2015.03.007.

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6

Alswaidan, Mohammed Waleed, Arief Daynes, and Paraskevas Pasgas. "Understanding and evaluation of risk in Sukuk structures." Journal of Islamic Accounting and Business Research 8, no. 4 (2017): 389–405. http://dx.doi.org/10.1108/jiabr-05-2015-0021.

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Purpose This paper aims to reviews Sukuk risk classification schemes based on extending and adapting the risk classification schemes of conventional finance. It is then argued that risk classification schemes based on Sukuk structure provide significant insights into Sukuk risk not obtainable from conventional schemes. This is because Sukuk structure risk classification schemes link Sukuk risk more directly to the fundamental causal factors creating those risks. These links are less evident in conventional risk classification schemes. It is hypothesised that Sukuk structure risk factors will p

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Bouveret, Antoine, Davide Di Nello, Jordi Gutierrez, and Martin Haferkorn. "EU Energy derivatives markets: Structure and risks." Financial Stability Review, Issue 44 (Spring 2023) (May 30, 2023): 37–66. http://dx.doi.org/10.53479/33795.

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Energy derivatives markets were thrown into turmoil following Russia’s invasion of Ukraine, as the prices of natural gas and power soared amid high volatility and a significant deterioration in market liquidity. Prices surged in March 2022, before declining in Spring and then rebounding to reach historical peaks at end-August 2022. The sharp price increases triggered large margin calls on derivatives positions, resulting in liquidity stress for some firms using derivatives as hedges against price declines, energy utilities in particular. The liquidity demands were so high that some EU countrie

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Lord, Richard A., and Yoshie Saito. "Does Compensation Structure Alleviate Personal CEO Risks?" Journal of Business Finance & Accounting 39, no. 9-10 (2012): 1272–97. http://dx.doi.org/10.1111/j.1468-5957.2012.02304.x.

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9

Kim, Soohyung. "Dual-class share structure and firm risks." Pacific-Basin Finance Journal 80 (September 2023): 102084. http://dx.doi.org/10.1016/j.pacfin.2023.102084.

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10

Bouveret, Antoine, Davide Di Nello, Jordi Gutierrez, and Martin Haferkorn. "EU Energy derivatives markets: Structure and risks." Revista de Estabilidad Financiera, Número 44 (primavera 2023) (May 30, 2023): 39–70. http://dx.doi.org/10.53479/30051.

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Los mercados de derivados energéticos se vieron sumidos en turbulencias tras la invasión de Ucrania por parte de Rusia, ya que los precios del gas natural y de la electricidad se dispararon, en un contexto de volatilidad elevada y de deterioro significativo de la liquidez en los mercados. Los precios aumentaron de manera acusada en marzo de 2022, descendieron en la primavera y, posteriormente, repuntaron, hasta alcanzar máximos históricos al final de agosto de ese año. Las pronunciadas subidas de los precios dieron lugar a ajustes sustanciales de los márgenes de garantía de las posiciones en d

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11

Kim Young Lan. "The Structure of Social Risks in Korea: Are Social Risks Democratic or Hierarchical?" Discourse 201 14, no. 3 (2011): 57–88. http://dx.doi.org/10.17789/discou.2011.14.3.003.

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12

BALOVTSEV, Sergey, Olga SKOPINTSEVA, and Elena KULIKOVA. "Hierarchical structure of aerological risks in coal mines." Sustainable Development of Mountain Territories 14, no. 2 (2022): 276–85. http://dx.doi.org/10.21177/1998-4502-2022-14-2-276-285.

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Introduction. As the actual data show, the safety of coalmines is the most vulnerable in the event of explosions of methane and coal dust, often accompanied by a complex manifestation and implementation of several hazardous factors, such as gas, dust, exogenous fires, leading to catastrophic consequences. To assess, predict, manage and reduce the consequences of the complex implementation of dangerous aerological factors in the occurrence of accidents in coalmines, a methodology has been developed for assessing and managing aerological risks in coalmines, based on the hierarchical structure of

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13

Tabrizi, Elahe Safayee. "Examine the relationship between capital structure, free cash and operational risks." International Academic Journal of Accounting and Financial Management 06, no. 01 (2019): 123–30. http://dx.doi.org/10.9756/iajafm/v6i1/1910011.

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14

Yi, Yinchen. "Risks in high-rise buildings and countermeasures." Highlights in Science, Engineering and Technology 28 (December 31, 2022): 77–83. http://dx.doi.org/10.54097/hset.v28i.4064.

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In the last half century, high-rise buildings have entered a phase of rapid development as a result of the swift growth of economy especially in Asia’s developing countries. Despite the optimistic prospect of the development of high-rise buildings, risks exist perpetually. The risks of high-rise buildings consist not only in structures, but also in environmental, social and cultural facets. However, those engaged in the latter one was often ignored, which is not conducive to a thorough assessment. This paper considers and analyses risks in a more integral and comprehensive approach. In this pa

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15

Darongke, Chyntia Christina, and Yusuf Latief. "Development of Safety Cost on Upper Structure Building Based on Work Breakdown Structure." Journal of Computational and Theoretical Nanoscience 17, no. 2 (2020): 864–73. http://dx.doi.org/10.1166/jctn.2020.8733.

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Construction as one of the most influencing industry to the country’s economy on the other hand also have the highest number of workplace accidents. Based on the data, 32% of accidental cases in Indonesia happened on constructional sectors. Hazard combine with work environments, workers behavior, organizational factor are the few reasons on the high number of workplace accident. In order to controlling the accidents, the safety risks in the construction industry need to be addressed. This paper aims to developing the standardized work breakdown structure for upper structure in building as a se

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16

Zimin, I. N., and V. M. Kartvelishvili. "A Viable University: Foresight, Logframe, Lifestyle and Risks." Vestnik of the Plekhanov Russian University of Economics, no. 5 (October 20, 2021): 12–32. http://dx.doi.org/10.21686/2413-2829-2021-5-12-32.

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The study continues the study of the fundamental characteristics of models of viable systems conducted by the authors. The current issues of construction, reorganization and preservation of the life-incapable structure of a higher educational institution - university U, representing a recursive active subsystem of the educational environment, which is part of the universe-society, are considered. The formalized definitions of an absolutely viable, viable, conditionally viable and non-viable system are given, allowing from a mathematical point of view to assess the optimality of the structure a

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17

Ying, Yiping, Yong Chen, Longshan Lin, and Tianxian Gao. "Risks of ignoring fish population spatial structure in fisheries management." Canadian Journal of Fisheries and Aquatic Sciences 68, no. 12 (2011): 2101–20. http://dx.doi.org/10.1139/f2011-116.

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Ignorance of spatial structures in fisheries management may lead to unexpected risks of overexploitation. Based on the information about small yellow croaker ( Larimichthys polyactis ) off the coast of China, we simulated a fish population consisting of three subpopulations mixing at intermediate levels, which was considered in the “true” spatial structure of the population in this study. Three scenarios of population spatial structure were assumed in assessing and managing this simulated fishery: (i) metapopulation, which has the same structure as the “true” population; (ii) three independent

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18

Bhamra, Harjoat S., Lars-Alexander Kuehn, and Ilya A. Strebulaev. "Long Run Risks, Credit Markets, and Financial Structure." American Economic Review 100, no. 2 (2010): 547–51. http://dx.doi.org/10.1257/aer.100.2.547.

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19

MEDVEDEVA, N. "DISPROPORTIONATE BODY STRUCTURE IN PREGNANT WOMEN: OBSTETRIC RISKS." MODERN PERINATAL MEDICAL TECHNOLOGIES IN SOLVING THE PROBLEM OF DEMOGRAPHIC SECURITY, no. 17 (December 2024): 456–61. https://doi.org/10.63030/2307-4795/2024.17.g.10.

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Among patients with genetically determined asymmetrical dwarfism, the proportion of inherited short stature was 63 %, the frequency of hereditary pathology in offspring was 461 29 %. They are characterized by overweight and obesity, they did not have reproductive dysfunctions, in the structure of the outcome of previous pregnancies, an increase in the frequency of spontaneous abortions was observed (27 %). In 100 % of cases, women had pathology from the musculoskeletal system (100 %) and an increased frequency of severe somatic pathology (17 %). Most pregnant women required delivery by cesarea

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20

Rahmawati, Alni, and Choirul Huda. "Institutional Ownership, Business Risks, Asset Structure to Capital Structure: Profitability as Moderation." Journal of Business Economics and Agribusiness 1, no. 2 (2023): 1–13. http://dx.doi.org/10.47134/jbea.v1i2.96.

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Penelitian ini mengetahui pengaruh kepemilikan institusional, risiko bisnis, struktur aset terhadap struktur modal dengan profitabilitas sebagai variabel moderasi. Populasi penelitian ini adalah perusahaan infrastruktur, utilitas dan transportasi yang terdaftar di Bursa Efek Indonesia periode 2016-2020. Pengambilan sampel menggunakan teknik purposive sampling sehingga diperoleh jumlah sampel sebanyak 155. Analisis data menggunakan software eViews 10. Peneliti menggunakan dua alat analisis yaitu: teknik analisis statistik deskriptif dan analisis statistik inferensial dengan menggunakan Moderate

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21

Petroutsatou, Kleopatra, and Dimitrios Kantilierakis. "Productivity Analysis and Associated Risks in Steel Structures." Buildings 13, no. 4 (2023): 905. http://dx.doi.org/10.3390/buildings13040905.

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Construction can be analyzed at industry, firm, project, and activity/task levels. Given that there are differences between the concepts of productivity and uses of productivity data, depending on the level of analysis, there is no single meaning of construction productivity, except of an output/input ratio. Furthermore, there is little knowledge in the extant literature about steel structure productivity, sustainability, and risks. Moreover, through the investigation of the grey literature, i.e., the national or European reports on construction productivity, the indexes given are at aggregate

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22

Sinha, Sidharth. "The Risks of Financing Telecom Projects." Vikalpa: The Journal for Decision Makers 22, no. 3 (1997): 55–63. http://dx.doi.org/10.1177/0256090919970305.

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This paper by Sidharth Sinha reviews the emerging competitive structure of the Indian telecom sector, identifies the constraints within which the private sector is expected to operate, and discusses issues related to interconnection cost and quantity. It also looks at the regulation of tariffs in the context of cross-subsidies in the existing tariff structure and identifies areas for further work.

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23

Dong, Weihua, and Yonghong Cai. "STRUCTURE AND MEASUREMENT OF UNIVERSITY FINANCIAL RISK." EUrASEANs: journal on global socio-economic dynamics, no. 1(44) (January 12, 2024): 220–31. http://dx.doi.org/10.35678/2539-5645.1(44).2024.220-231.

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Since the 1990s, higher education in China has expanded significantly. In 2020, the gross enrollment rate will reach 54.4%, and the total number of students in higher education accounts for one-fifth of the total scale of higher education in the world, ranking first in the world in terms of scale. The scale of higher education in China has grown, and the continuous increase in investment in higher education funds has increased the difficulty of controlling financial risks. Strengthening the prevention and control of financial risks in colleges and universities and strengthening the constructio

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24

Jkhsi, Shahram. "Evaluation of risk and safety in building structures under construction." International Journal of Advanced Engineering, Sciences and Applications 1, no. 4 (2020): 24–28. http://dx.doi.org/10.47346/ijaesa.v1i4.43.

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Many of the structural defects in the past have happened during the project development process. While a structural engineer must build a safe, economic and functional structure, the durability of the partially constructed structure cannot be ignored at various construction levels. During the building, structural health is a major problem for the industry of construction. Collapses of temporary structures or unfinished permanent structures pose a hazard to safety. Predictive risk analysis methods have been applied over the past decade to evaluate the efficiency of the current existing structur

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25

Wensink, Maarten J. "Size, longevity and cancer: age structure." Proceedings of the Royal Society B: Biological Sciences 283, no. 1838 (2016): 20161510. http://dx.doi.org/10.1098/rspb.2016.1510.

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There is significant recent interest in Peto's paradox and the related problem of the evolution of large, long-lived organisms in terms of cancer robustness. Peto's paradox refers to the expectation that large, long-lived organisms have a higher lifetime cancer risk, which is not the case: a paradox. This paradox, however, is circular: large, long-lived organisms are large and long-lived because they are cancer robust. Lifetime risk, meanwhile, depends on the age distributions of both cancer and competing risks: if cancer strikes before competing risks, then lifetime risk is high; if not, not.

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26

Xu, Tao. "The Impact of Corporate Governance Structure on the Financial Risk." Journal of Global Humanities and Social Sciences 4, no. 6 (2023): 276–81. http://dx.doi.org/10.61360/bonighss232015300603.

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This paper first introduces the research background of financial risks and corporate governance structure, using a sample of A-share companies listed in Shanghai and Shenzhen Stock Exchange from 2016 to 2018. It applies Z-score to measure financial risks and finds some quantitative methods to measure the factors in the corporate governance structure. This paper uses multiple linear regression model to analyze the correlation between financial risks and the corporate governance structure. The results show that ownership concentration, executive shareholding percentage and executive compensation

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27

Galli, Brian J. "Risks Related to Lean Six Sigma Deployment and Sustainment Risks." International Journal of Service Science, Management, Engineering, and Technology 9, no. 3 (2018): 82–105. http://dx.doi.org/10.4018/ijssmet.2018070106.

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Lean Six Sigma is a set of tools utilized by organizations to reduce cost and waste. There are risks associated with deploying and sustaining Six Sigma. The risks are different at each stage of the process. To ensure success, these risks must be identified and mitigated. From an organizational standpoint, companies need to understand the differences between Lean Six Sigma deployment and sustainment. The risk factors discussed in this article are leadership, human resource, and project selection. Since Lean Six Sigma is a project-based approach, many tools offered by the Project Management Inst

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28

Embrechts, Paul, Enkelejd Hashorva, and Thomas Mikosch. "Aggregation of log-linear risks." Journal of Applied Probability 51, A (2014): 203–12. http://dx.doi.org/10.1239/jap/1417528476.

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In this paper we work in the framework of a k-dimensional vector of log-linear risks. Under weak conditions on the marginal tails and the dependence structure of a vector of positive risks, we derive the asymptotic tail behaviour of the aggregated risk and present an application concerning log-normal risks with stochastic volatility.

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29

Embrechts, Paul, Enkelejd Hashorva, and Thomas Mikosch. "Aggregation of log-linear risks." Journal of Applied Probability 51, A (2014): 203–12. http://dx.doi.org/10.1017/s0021900200021288.

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In this paper we work in the framework of a k-dimensional vector of log-linear risks. Under weak conditions on the marginal tails and the dependence structure of a vector of positive risks, we derive the asymptotic tail behaviour of the aggregated risk and present an application concerning log-normal risks with stochastic volatility.

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30

Yang, Xinglin, and Ji Chen. "VIX term structure: The role of jump propagation risks." Journal of Futures Markets 41, no. 6 (2021): 785–810. http://dx.doi.org/10.1002/fut.22202.

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31

Bekaert, Geert, Eric Engstrom, and Andrey Ermolov. "Macro risks and the term structure of interest rates." Journal of Financial Economics 141, no. 2 (2021): 479–504. http://dx.doi.org/10.1016/j.jfineco.2021.03.011.

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32

Selyutin, V. V. "AGGREGATED BANK MODEL: STRUCTURE OF BALANCE SHEET, PROFITABILITY, RISKS." Ecology. Economy. Informatics. System analysis and mathematical modeling of ecological and economic systems 1, no. 3 (2018): 303–8. http://dx.doi.org/10.23885/2500-395x-2018-1-3-303-308.

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33

Karcher, W. "Structure-Activity Relationships in the Control of Chemical Risks." SAR and QSAR in Environmental Research 3, no. 3 (1995): 167–69. http://dx.doi.org/10.1080/10629369508234001.

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34

August, Terrence, Marius Florin Niculescu, and Hyoduk Shin. "Cloud Implications on Software Network Structure and Security Risks." Information Systems Research 25, no. 3 (2014): 489–510. http://dx.doi.org/10.1287/isre.2014.0527.

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35

Lee, Jong‐Eun. "The world stock markets under geopolitical risks: Dependence structure." World Economy 42, no. 6 (2018): 1898–930. http://dx.doi.org/10.1111/twec.12731.

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36

Wen, Limin, and Xianyi Wu. "The Credibility Estimator with General Dependence Structure Over Risks." Communications in Statistics - Theory and Methods 40, no. 10 (2011): 1893–910. http://dx.doi.org/10.1080/03610921003650440.

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37

Wallis, Robert S. "Tumour necrosis factor antagonists: structure, function, and tuberculosis risks." Lancet Infectious Diseases 8, no. 10 (2008): 601–11. http://dx.doi.org/10.1016/s1473-3099(08)70227-5.

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38

Boldin, R. "Credit union industry structure: an examination of potential risks." Financial Services Review 7, no. 3 (1998): 207–15. http://dx.doi.org/10.1016/s1057-0810(99)00010-4.

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39

Baum, Christopher F., Mustafa Caglayan, and Abdul Rashid. "Capital structure adjustments: Do macroeconomic and business risks matter?" Empirical Economics 53, no. 4 (2016): 1463–502. http://dx.doi.org/10.1007/s00181-016-1178-1.

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40

Gu, Rui, Junmei Liu, and Yitian Tang. "Board internationalization, supervisory board structure, and corporate legal risks." Finance Research Letters 78 (May 2025): 107226. https://doi.org/10.1016/j.frl.2025.107226.

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41

Bi, Jia Mei. "Study of the Assessment Method for Risk Matrix in Large Mining Steel Structure Large Steel Structure." Advanced Materials Research 962-965 (June 2014): 964–67. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.964.

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KONIAMBO project affiliated to the OFFSHORE OIL ENGINEERING CO., LTD is the world's first smelting plant using large modular construction and integration, which is the first integrated, modular building project with many potential risks .In this paper, project risk management system, control method and requirements were built based on risk matrix assessment method, potential risks in each stage and aspect were evaluated, controlled and managed,then risk management guarantee is provided for KONIAMBO project implementation.

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42

Namazian, Ali, Siamak Haji Yakhchali, Vahidreza Yousefi, and Jolanta Tamošaitienė. "Combining Monte Carlo Simulation and Bayesian Networks Methods for Assessing Completion Time of Projects under Risk." International Journal of Environmental Research and Public Health 16, no. 24 (2019): 5024. http://dx.doi.org/10.3390/ijerph16245024.

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In this study, Monte Carlo simulation and Bayesian network methods are combined to present a structure for assessing the aggregated impact of risks on the completion time of a construction project. Construction projects often encounter different risks which affect and prevent their desired completion at the predicted time and budget. The probability of construction project success is increased in the case of controlling influential risks. On the other hand, interactions among risks lead to the increase of aggregated impact of risks. This fact requires paying attention to assessment and managem

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43

Ai, Mengchao, John (Jianqiu) Bai, and Chen Shen. "Sea‐level rise and firms' financial structure decisions." Review of Financial Economics 42, no. 4 (2024): 442–66. http://dx.doi.org/10.1002/rfe.1201.

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AbstractWe study how environmental risks induced by the potential inundation associated with sea‐level rise affects firms' financial structure decisions. We find that firm leverage decreases with inundation risks associated with sea‐level rise. To establish causality, we consider firms' relocation of their headquarters, a propensity score matching estimator, and a difference‐in‐differences estimator around the release of the documentary “An Inconvenient Truth” and find that our results are robust. The negative relation between inundation risks due to sea‐level rise and financial leverage is mo

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44

CHURSIN, A. A., and E. S. GAVRILOV. "PANDEMIA 2020: GLOBALIZATION OF RISKS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 1, no. 6 (2020): 191–97. http://dx.doi.org/10.36871/ek.up.p.r.2020.06.01.022.

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The article discusses the signs of the beginning of the process of globalization in the global economy. The authors speculate on how the coronavirus pandemic will affect business and propose measures to support business by the state. The authors compiled a list of priority functions of the global institutional structure of the global economy in the current economic situation. Among other things, the authors note the likely changes in corporate governance, namely in the field of disaster tolerance.

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45

JOHNS, FLEUR, and WOUTER G. WERNER. "The Risks of International Law." Leiden Journal of International Law 21, no. 4 (2008): 783–86. http://dx.doi.org/10.1017/s0922156508005384.

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The past few decades have witnessed a proliferation in the writings on risk and uncertainty. Led by the work of writers such as Beck, Luhmann, Ewald, and Giddens, scholars across the humanities and social sciences have been engaged in reflections on the ways in which our understanding of risk structure informs decision-making and the attribution of responsibility. One of the central topics in this body of literature is the transformation of the concept of risk in postmodern societies.

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46

Adrian, Tobias, Federico Grinberg, Nellie Liang, Sheheryar Malik, and Jie Yu. "The Term Structure of Growth-at-Risk." American Economic Journal: Macroeconomics 14, no. 3 (2022): 283–323. http://dx.doi.org/10.1257/mac.20180428.

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We show that the conditional distribution of forecasted GDP growth depends on financial conditions in a panel of 11 advanced economies. Financial conditions have a larger effect on the lower fifth percentile of conditional growth—which we call growth-at-risk (GaR)—than the median. In addition, the term structure of GaR reflects that when initial financial conditions are loose, downside risks are lower in the near term but increase in later quarters. This intertemporal tradeoff for loose financial conditions is amplified when credit-to-GDP growth is rapid. Using granular instrumental variables,

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47

Nasirzadeh, Farnad, Abbas Afshar, and Mostafa Khanzadi. "Dynamic risk analysis in construction projects." Canadian Journal of Civil Engineering 35, no. 8 (2008): 820–31. http://dx.doi.org/10.1139/l08-035.

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The occurrence of one risk may exacerbate other risks or portfolios of risks due to their highly complex interrelated structures and existing interactions. Hence, the cumulative impact of a chain of risks may be greater than the sum of their individual impacts. Commonly practiced risk analysis approaches do not account for these interactions and face deficiency in providing reliable information regarding the actual impact of the identified risks. This paper presents a new approach to construction risk analysis where the interrelated structure of risks and their interactions have been modeled t

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48

Pramesthi, Shifa Ardhelia, Ruslin Anwar, and Lilya Susanti. "Risk Analysis of Occupational Safety and Health Analysis Using the HIRARC Method at Building Construction." ASTONJADRO 14, no. 2 (2025): 484–97. https://doi.org/10.32832/astonjadro.v14i2.17359.

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Occupational health and safety in Indonesia are crucial for improving worker safety and reducing the high incidence of construction-related accidents. In the research conducted on the construction of the Joint Lecture Building at a University in Malang City, a comprehensive analysis will be carried out to manage OHS risks, minimize workplace accidents, and improve work safety. By identifying hazards from each task and determining risks, risk controls for this construction project will be obtained. The work to be studied includes lower structure and upper structure tasks of the project. The res

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Horvathova, Jarmila, Martina Mokrisova, and Lucia Dancisinova. "Modelling of capital structure in relation to business performance maximization." Investment Management and Financial Innovations 15, no. 2 (2018): 292–304. http://dx.doi.org/10.21511/imfi.15(2).2018.26.

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The aim of the article was to find out the optimal capital structure of the companies in relation to their maximum performance. To reach this aim, the data of the companies operating in the field of heat industry of the Slovak Republic were used. As the first method, a correlation matrix was applied. It was found out that there is statistically significant relationship between capital structure indicators and performance of the companies. Due to the lack of data in time series, the authors were not able to apply multiple regression model to assess the impact of these indicators on performance.

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SHAIMERDENOVA, A., LG AGAPITOVA, AV BOBROVA, et al. "DEVELOPMENT OF OPTIMAL CROP PRODUCTION MODEL CONSIDERING EXISTING NATURAL-CLIMATIC RISKS INCREASING CROP YIELDS." SABRAO Journal of Breeding and Genetics 55, no. 3 (2023): 778–95. http://dx.doi.org/10.54910/sabrao2023.55.3.15.

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Contemporary agriculture is a fertile ground for the effective use of economic and mathematical models, which can be evaluated to unwind several problems with characteristic optimization features: multiple solution opportunities and freedom of choice, limited production resources, and efficiency valuation. The presented study aims to develop a model of optimal crop production structure under the existing weather risks in the agricultural management system. The article reviews the basic theoretical concepts in optimizing the production structure of agricultural enterprises, examines the specifi

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