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Journal articles on the topic 'Risk interdependencies'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

WIRBA, E. N., J. H. M. TAH, and R. HOWES. "Risk interdependencies and natural language computations." Engineering, Construction and Architectural Management 3, no. 4 (1996): 251–69. http://dx.doi.org/10.1108/eb021034.

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2

Dawson, Richard. "Handling Interdependencies in Climate Change Risk Assessment." Climate 3, no. 4 (2015): 1079–96. http://dx.doi.org/10.3390/cli3041079.

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3

Geeta, Ramanathan, and Krishna Prasanna. "Governance and risk interdependencies among family owned firms." Corporate Ownership and Control 13, no. 2 (2016): 390–407. http://dx.doi.org/10.22495/cocv13i2clp7.

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The paper examines the role and impact of corporate governance mechanisms upon the operating risks of Indian listed firms. The recent global financial crisis was primarily attributed to excess risk–taking. This turmoil in the financial markets had a widespread effect on all industries and raised pertinent questions on the effectiveness of firm level governance practices. Impact of corporate governance practices, vide a constructed board governance index, has been examined on the risk taking behaviour of firms. Utilising a sample of 377 firms with yearly data for 6 years from 2006 to 2012, 2262

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4

Booth, Rupert. "Risk planning for interdependencies: from theory to practice." Proceedings of the Institution of Civil Engineers - Municipal Engineer 165, no. 2 (2012): 85–92. http://dx.doi.org/10.1680/muen.11.00032.

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5

Karamoozian, Amirhossein, and Desheng Wu. "A hybrid risk prioritization approach in construction projects using failure mode and effective analysis." Engineering, Construction and Architectural Management 27, no. 9 (2020): 2661–86. http://dx.doi.org/10.1108/ecam-10-2019-0535.

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PurposeConstruction projects involve with various risks during all phases of project lifecycle. Failure mode and effective analysis (FMEA) is a useful tool for identifying and eliminating possible risk of failure modes (FMs) and improving the reliability and safety of systems in a broad range of industries. The traditional FMEA method applies risk priority number method (RPN) to calculate risk of FMs. RPN method cannot consider the direct and indirect interdependencies between the FMs and is not appropriate for complex system with numerous components. The purpose of this study is to propose an

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6

Tvaronavičius, Vytautas. "Riskiness and Interdependencies of Business Value Variables." Business: Theory and Practice 8, no. (3) (2007): 166–75. https://doi.org/10.3846/btp.2007.24.

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In business value calculations usualy great attention is given to the so-called discounted cash flows method. Here business risk estimation takes into account only the discount rate. This is a very general assumption, in which theoretically all possible and probable risks should be reflected. In modeling business value dynamics that is not enough, because all business risks have individual and changeable probabilities. Business risks used in business valuation are without adequate estimation of probabilities. Trying to achieve increased business value should be based on reaserches, in which by

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Sood, Meemansa, Ulrike Suenkel, Anna-Katharina von Thaler, et al. "Bayesian network modeling of risk and prodromal markers of Parkinson’s disease." PLOS ONE 18, no. 2 (2023): e0280609. http://dx.doi.org/10.1371/journal.pone.0280609.

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Parkinson’s disease (PD) is characterized by a long prodromal phase with a multitude of markers indicating an increased PD risk prior to clinical diagnosis based on motor symptoms. Current PD prediction models do not consider interdependencies of single predictors, lack differentiation by subtypes of prodromal PD, and may be limited and potentially biased by confounding factors, unspecific assessment methods and restricted access to comprehensive marker data of prospective cohorts. We used prospective data of 18 established risk and prodromal markers of PD in 1178 healthy, PD-free individuals

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8

Rammerstorfer, Margarethe. "Risk Acceptance and Regulatory Risk." Competition and Regulation in Network Industries 10, no. 3 (2009): 235–58. http://dx.doi.org/10.1177/178359170901000302.

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The current debate among policy makers, regulatory analysts, and industry concerns the insufficient investment activities within the area of regulated utilities and emphasises the necessity of analyzing the interdependencies between systematic risk and regulatory activities. This article deals with the different extents of systematic risk under different regulatory regimes. First, it is shown that price cap regulation provides higher systematic risk than incentive regulation or no-regulation. In a second step, the extent of risk aversion of regulated companies is analyzed. It turns out that an

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Durgaprasad, J., and T. V. S. R. Appa Rao. "Parameter Interdependencies for Development of KBS for Risk Analysis." Journal of Computing in Civil Engineering 11, no. 4 (1997): 224–30. http://dx.doi.org/10.1061/(asce)0887-3801(1997)11:4(224).

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10

Bhimani, Alnoor. "Risk management, corporate governance and management accounting: Emerging interdependencies." Management Accounting Research 20, no. 1 (2009): 2–5. http://dx.doi.org/10.1016/j.mar.2008.11.002.

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11

Caceres-Santos, Jonnathan, Anahi Rodriguez-Martinez, Fabio Caccioli, and Serafin Martinez-Jaramillo. "Systemic risk and other interdependencies among banks in Bolivia." Latin American Journal of Central Banking 1, no. 1-4 (2020): 100015. http://dx.doi.org/10.1016/j.latcb.2020.100015.

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12

Almarzooqi, Saeed, Waheeb Alkamali, Mounir El Khatib, Mariam Talib, and Roweya Alteneiji. "Project Quality and Project Risk Management: Correlations and Interdependencies." International Journal of Business Analytics and Security (IJBAS) 3, no. 1 (2023): 137–53. http://dx.doi.org/10.54489/ijbas.v3i1.208.

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This research aims to identify and develop a framework on how to correlate the project risk and quality management to achieve better results. The research assumes that there is a correlation between project quality and project risk management; and the outcomes of the project quality management and the outcomes of the risk management have mutual correlation. The research utilizes qualitative approach and case study based using open structured interviews. The research concludes that there is an invisible line between risk management and quality management when it comes to integration there where

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13

Robert, Benoit, Renaud De Calan, and Luciano Morabito. "Modelling interdependencies among critical infrastructures." International Journal of Critical Infrastructures 4, no. 4 (2008): 392. http://dx.doi.org/10.1504/ijcis.2008.020158.

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14

Al-Gahtani, Khalid S., Mohammed I. Aldokhi, Naif M. Alsanabani, Hatim F. Alotaibi, and Abdulrahman A. Bin Mahmoud. "The Impact of Dynamic Risk Interdependencies on the Saudi Precast Concrete Industry." Buildings 14, no. 4 (2024): 875. http://dx.doi.org/10.3390/buildings14040875.

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The precast concrete production process faces uncertainties and risks that reduce the efficiency of the Saudi precast concrete industry. Assessing the risk factors’ interdependence yields better results than considering individual analyses only. The previous precast risk studies did not consider the interdependencies among risk factors concerning different process stages. This paper aims to identify precast risk factors and prioritize their importance in Saudi Arabia. Using a dynamic Bayesian network, the assessment considers the interrelationships among the risk factors and different producti

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15

Mican, Camilo, Gabriela Fernandes, and Madalena Araújo. "A method for project portfolio risk assessment considering risk interdependencies – a network perspective." Procedia Computer Science 196 (2022): 948–55. http://dx.doi.org/10.1016/j.procs.2021.12.096.

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16

Utne, I. B., P. Hokstad, and J. Vatn. "A method for risk modeling of interdependencies in critical infrastructures." Reliability Engineering & System Safety 96, no. 6 (2011): 671–78. http://dx.doi.org/10.1016/j.ress.2010.12.006.

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17

Kjølle, G. H., I. B. Utne, and O. Gjerde. "Risk analysis of critical infrastructures emphasizing electricity supply and interdependencies." Reliability Engineering & System Safety 105 (September 2012): 80–89. http://dx.doi.org/10.1016/j.ress.2012.02.006.

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18

Guan, Li, Alireza Abbasi, and Michael J. Ryan. "Analyzing green building project risk interdependencies using Interpretive Structural Modeling." Journal of Cleaner Production 256 (May 2020): 120372. http://dx.doi.org/10.1016/j.jclepro.2020.120372.

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19

Colvin, Matthew, and Christos T. Maravelias. "R&D pipeline management: Task interdependencies and risk management." European Journal of Operational Research 215, no. 3 (2011): 616–28. http://dx.doi.org/10.1016/j.ejor.2011.06.023.

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20

Levina, Anna. "Portfolio Risk Management of Project Network Interdependency (on the Example of Agroholding)." Scientific Research and Development. Russian Journal of Project Management 10, no. 1 (2021): 33–43. http://dx.doi.org/10.12737/2587-6279-2021-10-1-33-43.

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The article is devoted to the problem of portfolio risk management of network project interdependencies in an agricultural company, as the lack of existing methods of project portfolio risk assessment and proper consideration of interdependencies are traced. During the study, we conducted an in-depth interview with the CFO of the company to identify the pool of ongoing projects of the company, determine the types of interproject dependencies, the likelihood of the corresponding risk in the project and the level of losses in monetary terms. Using the method of expert assessments and the noisy-O

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21

Valipour, Alireza, Hadi Sarvari, Yahaya Nordin, Md Noor Norhazilan, and Seyed Meysam Khoshnava. "Analytic Network Process Approach to Risk Allocation of EPC Projects Case Study: Gas Refinery EPC Projects in Iran." Applied Mechanics and Materials 567 (June 2014): 654–59. http://dx.doi.org/10.4028/www.scientific.net/amm.567.654.

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Risk allocation is the most significant factor in risk management. Earlier research has shown that risk allocation is essential to achieve success in construction projects. Risk allocation may fail to be achieved due to lack of a mechanism for joint risk management. Successful optimal risk allocation requires one to identify and evaluate the risk allocation criteria, which interact and overlap with each other and can lead to significant variation in the decision outcome in risk allocation. This study aims to allocate the risks in EPC projects using the analytic network process (ANP) method. Th

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22

Nguyen, Tri Dung, Ximing Cai, Yanfeng Ouyang, and Mashor Housh. "Modelling infrastructure interdependencies, resiliency and sustainability." International Journal of Critical Infrastructures 12, no. 1/2 (2016): 4. http://dx.doi.org/10.1504/ijcis.2016.075868.

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23

Hedayat, Hossein, and Hesam Seyed Kaboli. "Drought risk assessment: The importance of vulnerability factors interdependencies in regional drought risk management." International Journal of Disaster Risk Reduction 100 (January 2024): 104152. http://dx.doi.org/10.1016/j.ijdrr.2023.104152.

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24

Dellermann, Dominik, Alexander Fliaster, and Michael Kolloch. "Innovation risk in digital business models: the German energy sector." Journal of Business Strategy 38, no. 5 (2017): 35–43. http://dx.doi.org/10.1108/jbs-07-2016-0078.

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Purpose Past research demonstrated that novel IT-based business models generate tremendous returns for innovators. However, the risks associated with these innovations remain under-explored. This paper aims to address this critical gap analyzing risks and offering important insights particularly for practitioners. Design/methodology/approach The authors adopted an exploratory multiple-case study research design. It draws on 22 semi-structured interviews with managers from leading energy utilities, as well as leading providers of virtual power plants technology within the German energy industry

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25

Wever, Mark, Nel Wognum, Jacques Trienekens, and Onno Omta. "Managing transaction risks in interdependent supply chains: an extended transaction cost economics perspective." Journal on Chain and Network Science 12, no. 3 (2012): 243–60. http://dx.doi.org/10.3920/jcns2012.x214.

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The present study examines the management of transaction risks in supply chains. Risk management studies often ignore the wider supply chain context in which individual transactions take place. However, risk management strategies which are suitable to use when only a single transaction is considered may be inappropriate when other transactions in the supply chain are taken into account. This study addresses this issue by examining: (1) how risks arise as a result of interdependencies between the various transactions making up the supply chain; and (2) what types of contractual-based strategies

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26

Calvert, Jacob S., Daniel A. Price, Christopher W. Barton, Uli K. Chettipally,, and Ritankar Das. "Discharge recommendation based on a novel technique of homeostatic analysis." Journal of the American Medical Informatics Association 24, no. 1 (2016): 24–29. http://dx.doi.org/10.1093/jamia/ocw014.

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Objective: We propose a computational framework for integrating diverse patient measurements into an aggregate health score and applying it to patient stability prediction. Materials and Methods: We mapped retrospective patient data from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) II clinical database into a discrete multidimensional space, which was searched for measurement combinations and trends relevant to patient outcomes of interest. Patient trajectories through this space were then used to make outcome predictions. As a case study, we built AutoTriage, a patient

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27

Andrikopoulos, Andreas, Timotheos Angelidis, and Vasiliki Skintzi. "Illiquidity, return and risk in G7 stock markets: Interdependencies and spillovers." International Review of Financial Analysis 35 (October 2014): 118–27. http://dx.doi.org/10.1016/j.irfa.2014.07.013.

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28

Delamare, Simon, Alpha Amadou Diallo, and Claude Chaudet. "High-level modelling of critical infrastructures' interdependencies." International Journal of Critical Infrastructures 5, no. 1/2 (2009): 100. http://dx.doi.org/10.1504/ijcis.2009.022852.

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29

Rahman, Hafiz Abdur, Mazana Armstrong, Jose R. Marti, and K. D. Srivastava. "Infrastructure interdependencies simulation through matrix partitioning technique." International Journal of Critical Infrastructures 7, no. 2 (2011): 91. http://dx.doi.org/10.1504/ijcis.2011.041534.

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30

Soon, Sim Mong, Robert Tiong Lee Kong, Lin Jiwei, and Tai Kang. "Modelling critical infrastructure network interdependencies and failure." International Journal of Critical Infrastructures 15, no. 1 (2019): 1. http://dx.doi.org/10.1504/ijcis.2019.10016804.

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31

Díaz-Curbelo, Alina, Ángel M. Gento, Alfonso Redondo, and Faisal Aqlan. "A Fuzzy-Based Holistic Approach for Supply Chain Risk Assessment and Aggregation Considering Risk Interdependencies." Applied Sciences 9, no. 24 (2019): 5329. http://dx.doi.org/10.3390/app9245329.

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Supply chain risk management requires dealing with uncertainty, interrelations, and subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for risk management that considers the impact on multiple performance objectives, the relation between risk agents, and the risk event interdependencies. An aggregated risk score is proposed to capture the cascading effects of common risk triggers and quantify the aggregated score by risk agent and objective. The approach also uses fuzzy logic to allow for the treatment of vague and ambiguity data as input parameters t

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32

Carson, James M., Elyas Elyasiani, and Iqbal Mansur. "Market Risk, Interest Rate Risk, and Interdependencies in Insurer Stock Returns: A System-GARCH Model." Journal of Risk & Insurance 75, no. 4 (2008): 873–91. http://dx.doi.org/10.1111/j.1539-6975.2008.00289.x.

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33

Díaz-Curbelo, Alina, Municio Angel Manuel Gento, Castan Alfonso Redondo, and Faisal Aqlan. "A Fuzzy-Based Holistic Approach for Supply Chain Risk Assessment and Aggregation Considering Risk Interdependencies." A Fuzzy-Based Holistic Approach for Supply Chain Risk Assessment and Aggregation Considering Risk Interdependencies 9 (December 6, 2019): 5329. https://doi.org/10.3390/app9245329.

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Supply Chain Risk Management requires dealing with uncertainty, interrelations and 12 subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for 13 risk management that considers the impact on multiple performance objectives, the relation 14 between risk agents, and the risk event interdependencies. An Aggregated Risk Score is proposed 15 to capture the cascading effects of common risk triggers and quantify the aggregated score by risk 16 agent and objective. The approach also uses fuzzy logic to allow for the treatment of vague and 17 ambiguity data as i

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34

Peng, Chunyan, Jiquan Wang, Huihua Chen, and Runxi Tang. "Application of Fuzzy-ISM-MICMAC in the Risk Analysis Affecting Swivel Bridge Construction Spanning Existing Railway Lines: A Case Study." Buildings 14, no. 1 (2023): 52. http://dx.doi.org/10.3390/buildings14010052.

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Swivel bridge construction (SBC) technology has significant advantages in building bridges that span existing railway lines (ERLs), but it also entails complex risks from ‘skylight’ windows and railway boundaries. A notable challenge is the relationships and interdependencies among these risks, which collectively increase safety hazards through mutual influence. Prior research has typically focused on mitigating the risks inherent in particular tasks or operations, with less emphasis on the risks from interdependencies. A novel framework was developed to explore this research gap by integratin

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35

Almeida, Maria do Céu, Maria João Telhado, Marco Morais, and João Barreiro. "Multisector Risk Identification to Assess Resilience to Flooding." Climate 9, no. 5 (2021): 73. http://dx.doi.org/10.3390/cli9050073.

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Climate trends suggest an increase in the frequency of intense rainfall events and the aggravation of existing conditions in terms of flooding in urban areas. In coastal areas, conditions are aggravated by coexistence with coastal overtopping. Flood risk control is complex, and the interdependencies among the services and sectors in urban areas imply the need for adoption of approaches that embrace the interplay between service providers to ensure critical urban functions. Flooding incorporates several hazards. Assessment of resilience to multiple hazards in complex environments benefits from

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36

Vaskiv, Roman, and Nataliia Veretennikova. "Integrated risk management model in distributed IT teams." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 17 (June 2025): 214–25. https://doi.org/10.23939/sisn2025.17.214.

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The article presents an integrated approach to project risk management in distributed IT teams, combining the experimental methodology of Chaos Engineering, probabilistic modeling based on the Monte Carlo method, and a systematic Risk Register framework. The aim of the study is to develop a scientifically grounded risk management model for distributed IT teams that incorporates the temporal dynamics of risks, their cascading interdependencies, and the adaptive update of parameters based on feedback obtained through experimentation in accordance with the Chaos Engineering methodology. Within th

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37

Alexandru, Tărăbîc Andrei. "Defining the Concept of Risk Applied in Entrepreneurship. Conceptual Delimitation Risk - Entrepreneurial Uncertainty." European Review Of Applied Sociology 12, no. 18 (2019): 43–46. http://dx.doi.org/10.1515/eras-2019-0004.

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AbstractEven though in many cases the terms of risk and uncertainty are similar, they have to be delimited to understand the meaning of each, individual, as accurately as possible. The two terms are combined in different situations. No matter how well the risk is managed, uncertainty cannot be removed because all possible situations and interdependencies cannot be taken into account. Thus, a source of risk can be considered uncertainty in itself if it is based on poor quality information about the actual internal or external situation of the company. Also, in my conclusion, traditional financi

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38

Barth, James R., Apanard (Penny) Prabha, and Greg Yun. "The eurozone financial crisis: role of interdependencies between bank and sovereign risk." Journal of Financial Economic Policy 4, no. 1 (2012): 76–97. http://dx.doi.org/10.1108/17576381211210203.

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39

Brown, Theresa, Walt Beyeler, and Dianne Barton. "Assessing infrastructure interdependencies: the challenge of risk analysis for complex adaptive systems." International Journal of Critical Infrastructures 1, no. 1 (2004): 108. http://dx.doi.org/10.1504/ijcis.2004.003800.

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40

Jain, Mayank, Taniya Malik, and Sakshi Malik. "Deciphering Financial Health and Risk: Hierarchical Relationships and Interdependencies among Key Factors." Acta Universitatis Sapientiae, Economics and Business 11, no. 1 (2023): 162–85. http://dx.doi.org/10.2478/auseb-2023-0008.

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Abstract This study examines the hierarchical relationships and inter dependencies of financial factors impacting companies’ health, using Total Interpretive Structural Modelling and Matrice d’Impacts Croisés Multiplication Appliquée à un Classement analyses. It identifies key financial factors and their influences. Findings reveal credit risk as a pivotal factor with substantial impact on other parameters. Solvency, capital adequacy, and Tier 1 capital ratios are also key determinants of financial health. The study further categorizes factors into independent, linkage, autonomous, and depende

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41

Volkmer, Ingrid, Ansgard Heinrich, and Lea Hellmueller. "Journalism in a globalized risk arena: Between networks, interdependencies and power relations." International Communication Gazette 85, no. 8 (2023): 605–11. http://dx.doi.org/10.1177/01427237231219093.

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42

Cinar, Ulas, and Selcuk Cebi. "A hybrid risk assessment method for mining sector based on QFD, fuzzy inference system, and AHP." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 6047–58. http://dx.doi.org/10.3233/jifs-189078.

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Conventional risk assessment methods are widely used for industrial safety applications. However, there are serious obstacles to their usage as; (i) all of the potential hazards are considered as an independent event, (ii) various risks are identified based on these hazards, (iii) risk magnitudes of these risks are obtained without considering interdependencies among the hazards, and then (iv) the protective measures against the defined risks are taken based on these risk magnitudes. Therefore, conventional methods do not provide any assessment for overall risks in the working environment. Fur

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43

Gleißner, Werner, and Patrick Ulrich. "Governance, risk, compliance and controlling: Institutional, cultural and instrumental interdependencies from a German perspective." Corporate Ownership and Control 22, no. 2 (2025): 41–52. https://doi.org/10.22495/cocv22i2art4.

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This study analyzes interdependencies among governance, risk, compliance, and controlling (GRC²) functions in German companies, assessing cultural, institutional, and instrumental factors. Through an empirical survey of 247 companies conducted in late 2021, the study investigates the positioning of risk management, especially in relation to compliance and controlling. The results provide insights into how the maturity of risk management and cultural openness to risk affect the integration of governance, risk, and compliance (GRC) practices, supporting a decision-oriented approach to risk gover

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44

Micán, Camilo, Gabriela Fernandes, and Madalena Araújo. "Project portfolio risk management: a structured literature review with future directions for research." International Journal of Information Systems and Project Management 8, no. 3 (2021): 67–84. http://dx.doi.org/10.12821/ijispm080304.

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Project Portfolio Risk Management (PPRM) has been identified as a relevant area regarding project portfolio success. This paper reports on a structured literature review of PPRM. A structured search and selection process was carried out and conventional content analysis was conducted in the literature analysis of 62 papers published in international journals. PPRM has its theoretical and practical bases in the modern theory of portfolios, decision theory and risk management (RM). The content analysis reveals four main recurrent topics in PPRM: (1) The influence of RM on project portfolio succe

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45

Hochrainer-Stigler, Stefan, Reinhard Mechler, Oscar Higuera Roa, et al. "Understanding multiple resilience dividends and system boundaries in disaster- and climate-risk management: a systems approach for enhanced decision-making." Environmental Research Letters 20, no. 4 (2025): 044026. https://doi.org/10.1088/1748-9326/adac7a.

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Abstract Challenges in managing multi-hazards and multi-risks within complex risk landscapes—where numerous stakeholders with different priority needs and risk perceptions interact—remain unresolved. Here we suggest ways to tackle these pressing challenges in an integrated and comprehensive manner by applying key concepts from systemic risk research to triple- and multiple-dividend approaches. The central idea is that additional dividends (i.e., economic, social, and environmental co-benefits of disaster-risk reduction that go beyond loss-reduction benefits) can be related to different system

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46

Marle, Franck, Hadi Jaber, and Catherine Pointurier. "Organizing Project Actors for Collective Decision-Making about Interdependent Risks." Complexity 2019 (March 20, 2019): 1–18. http://dx.doi.org/10.1155/2019/8059372.

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The way project actors are organized is crucial in determining how they will be able to collectively cope with nontrivial complex problems and risks. Current project organizations are generally based on single-criterion decomposition, whether product, process, or organization based. The proposed approach forms complementary clusters of actors based on the interdependencies between the risks they manage. More precisely, distinction has been made between the interdependencies connecting two risks that are owned by different actors and those owned by the same actor. We argue that interdependency

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47

Haque, Anmol, Jennifer L. Irish, and Yang Zhang. "INTERDEPENDENCIES BETWEEN PHYSICAL AND SOCIAL VULNERABILITY IN A STORM RISK ASSESSMENT FRAMEWORK APPLIED TO HAMPTON ROADS, VIRGINIA." Coastal Engineering Proceedings, no. 36v (December 28, 2020): 20. http://dx.doi.org/10.9753/icce.v36v.management.20.

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Risk assessment frameworks such as HAZUS-MH (FEMA, 2010) have been used globally to estimate potential losses like physical damage to structural establishments, economic loss, shelter requirements, displaced households, etc. due to multi-hazards like earthquake, flood and hurricane hazards. However, HAZUS-MH fails to consider interdependencies between physical and social capacities of affected communities. The present study aims to develop a conceptual risk assessment framework for storm hazards in coastal communities that addresses these limitations through an integrated physical and social v

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48

Albers, Albert, Tobias Stürmlinger, Sven Revfi, and Kamran Behdinan. "EXTENDED TARGET WEIGHING APPROACH (ETWA): IMPACT AND RISK ANALYSIS OF LIGHTWEIGHT CONCEPTS IN THE PRODUCT-PRODUCTION SYSTEM-CO-DESIGN." Proceedings of the Design Society 1 (July 27, 2021): 1537–46. http://dx.doi.org/10.1017/pds.2021.415.

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AbstractLightweight design in interconnected systems becomes more and more complex as the interdependencies cannot be overseen by the product developer. Varying one component might not only influence the interfaces to other components but also the underlying production systems.Therefore, this contribution focuses on the product/production interdependencies and how they can be supported within lightweight design. Based on a functional description of the product it is possible to derive new lightweight design solutions and also to evaluate the change propagation in the production system. For thi

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49

Jovanović, A. S., and V. Pilić. "Dealing with risk–risk interdependencies and trade-offs in relation to development and use of new technologies." Journal of Risk Research 16, no. 3-4 (2013): 393–406. http://dx.doi.org/10.1080/13669877.2012.729528.

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50

Baloye, David O., and Lobina Gertrude Palamuleni. "Urban critical infrastructure interdependencies in emergency management." Disaster Prevention and Management: An International Journal 26, no. 2 (2017): 162–82. http://dx.doi.org/10.1108/dpm-10-2015-0231.

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Purpose The purpose of this paper is to map the cascade effects of emergencies on critical infrastructure in a fast-growing city of a developing country. The paper specifically seeks to refocus the attention of decision makers and emergency managers towards a more effective way of reducing risk and costs associated with contingencies. Design/methodology/approach The study was based on a 2D representation of the three initiating events of fire, flood and automobile crashes. Detailed analysis was undertaken of the effects on the critical infrastructure, based on the probability of occurrence, fr

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