Relevant bibliographies by topics / Risk identification and assessment

Academic literature on the topic 'Risk identification and assessment'

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Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Risk identification and assessment"

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Sowmya Rao G.S, Sowmya Rao G. S., and Prof V. SrinivasaRaghavan Prof. V. SrinivasaRaghavan. "Construction Risk Identification and Assessment." Indian Journal of Applied Research 4, no. 5 (October 1, 2011): 388–91. http://dx.doi.org/10.15373/2249555x/may2014/116.

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Aulia, R., and Qurtubi. "Hazard Identification, Risk Assessment, and Risk Controlling Using Hazard Identification and Risk Assessment Method." IOP Conference Series: Materials Science and Engineering 598 (September 6, 2019): 012123. http://dx.doi.org/10.1088/1757-899x/598/1/012123.

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Jaroslava Kubáňová and Iveta Kubasáková. "Transport Risk Identification and Assessment." Communications - Scientific letters of the University of Zilina 23, no. 3 (July 1, 2021): F109—F115. http://dx.doi.org/10.26552/com.c.2021.3.f109-f115.

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The transport process is characterized by transport operations and the relationships between them, the route, the time of transport and the type of product transported. One of these parameters is the degree of risk associated with a possible disruption of the transport process. Therefore, this article aims to present the possibility of calculating the degree of risk on the selected transport route. The risk level is calculated on based on the actual risk incidents on the transport route.
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Pike, Ralph W. "Hazard identification and risk assessment." Waste Management 16, no. 4 (January 1996): 339. http://dx.doi.org/10.1016/s0956-053x(96)90002-1.

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Chenina, Ekaterina Sergeevna, and Larisa Alekseevna Ilyukhina. "PROJECT RISK IDENTIFICATION AND ASSESSMENT." Наука XXI века: актуальные направления развития, no. 1-2 (2021): 96–101. http://dx.doi.org/10.46554/sciencexxi-2021.02-1.2-pp.96.

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Hanusik, Andrzej. "Risk in Carsharing – Identification and Assessment." Journal of KONBiN 50, no. 4 (December 1, 2020): 19–30. http://dx.doi.org/10.2478/jok-2020-0071.

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Abstract The purpose of this article is identification of risks in carsharing and their latter assessment in terms of probability of occurrence, impact on customer relationships, importance of a given category and cost they generate. A way of aggregating various categories of risks into one synthetic indicator in order to prioritize them was proposed. Methodology of the process was based on a methodological triangulation which is based on the following studies – analysis and criticism of literature which helps to place discussed research problem on theoretical basis, qualitative research and observations allowing to identify individual categories of risks and quantitative research enabling the description of given categories of risks by appropriate variables on which further risk modelling is performed. Such research may be a basis to subsequent analysis and be an impulse to an academic debate. Also it may contribute to creation of further studies dealing with the problem of assessment of the risk in concepts related to sharing economy.
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HANUSIK, Andrzej. "Identification and risk assessment in carsharing." Scientific Journal of Silesian University of Technology. Series Transport 109 (December 1, 2020): 33–43. http://dx.doi.org/10.20858/sjsutst.2020.109.3.

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There are many new concepts for doing business in the modern market. Carsharing is one of such models that are directly related to the sharing economy. The current body of literature shows an absence of reports about risk management in carsharing operators. Further investigation of scientific databases confirms the existence of a research gap in this field. The purpose of this article is for identification of risks in carsharing and their latter assessment in terms of probability of occurrence, impact on customer relationships, the importance of a given category and the cost they generate. A way of aggregating various categories of risks into one synthetic indicator to prioritise them was proposed. The methodology of the process was based on a methodological triangulation which is established on the following studies – analysis and criticism of literature which helps to place discussed research problems on a theoretical basis, qualitative research and observations allowing to identify individual categories of risks and quantitative research enabling the description of given categories of risks by appropriate variables on which further risk modelling is performed. Such research may be a basis for subsequent analysis and an impulse to an academic debate. Besides, it may contribute to the creation of further studies, which deal with the problem of assessment of the risk in concepts related to sharing economy.
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Supriyadi, Supriyadi, and Fauzi Ramdan. "HAZARD IDENTIFICATION AND RISK ASSESSMENT IN BOILER DIVISION USING HAZARD IDENTIFICATION RISK ASSESSMENT AND RISK CONTROL (HIRARC)." Journal of Industrial Hygiene and Occupational Health 1, no. 2 (April 30, 2017): 161. http://dx.doi.org/10.21111/jihoh.v1i2.892.

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Podziņš, Oskars, and Andrejs Romānovs. "IT RISK IDENTIFICATION AND ASSESSMENT METHODOLOGY." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (June 15, 2017): 124. http://dx.doi.org/10.17770/etr2017vol2.2539.

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There are numerous methods for risk identification and risk assessment phases. Which for risk identification includes historical and systematic approach and inductive or theoretical analysis. One of the main reasons why risk identification is very helpful is that it provides justification in many cases for any large IT investment and other large undertakings. Without it organization probably wouldn’t be able to come to conclusion. Also in this phase business recognize the threats, vulnerabilities, and assets associated with its IT systems. Together with risk assessment phase risk management specialist is responsible for determining asset value, what's the value of the asset business is protecting, and risk acceptance level. Risk assessment on the other hand examines impact or consequence, as well as examines and evaluates the likelihood or probability of that adverse event happening. Risk assessment includes methods like Bayesian analysis, Bow Tie Analysis, brainstorming or structured interviews, business impact analysis, cause and consequence, cause-and-effect analysis, Delphi method, event tree analysis, fault tree analysis, hazard analysis, hazard and operational studies, and finally structured what if technique or SWIFT process. Risk assessment has two distinctive assessment types- quantitative and qualitative assessment. Quantitative assessment tries to put a monetary value on all risks. Qualitative assessment on the other hand rather look at it from a range of values like low, medium, high. The results of these phases are going to be documented in the risk assessment report and reported to senior management.
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Wijeratne, W. M. P. U., B. A. K. S. Perera, and L. De Silva. "Identification and assessment risks in maintenance operations." Built Environment Project and Asset Management 4, no. 4 (September 2, 2014): 384–405. http://dx.doi.org/10.1108/bepam-09-2013-0041.

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Purpose – The purpose of this paper is to identify the risks and methods for their assessment in the case of maintenance activities in Sri Lanka. The main objectives were to identify the occupational risks in maintenance work and the risk assessment methods in place and their drawbacks in the Sri Lankan context. Design/methodology/approach – The identification and assessment of risks were undertaken through a study of three fast-moving consumer products manufacturing organisations. The relevant data were collected through personal interviews and site visits. Findings – Most typical risks associated with maintenance are cuts, slips and falls, with severe or fatal injuries as the result of negligence of SOP and failure to use the PPE. Checklists, brainstorming and decomposition techniques were identified as the preferred methods in maintenance for risk identification while a risk rating matrix is used for risk analysis. Lack of awareness and indifference towards risk assessment; make effective risk assessment very difficult. These drawbacks can be minimised by education, systematic training and enforcing rules, regulations and procedures for controlling risks. Originality/value – Studies on maintenance worldwide have identified several maintenance-specific risks such as working at heights, the pressure of time, etc. However, there is a dearth of published research on risks and risk assessment methods in maintenance in Sri Lankan context. The findings highlighted the safety risks and risk assessment tools entailed in the maintenance operations of manufacturing organisations. The findings will be useful for those in maintenance operations in managing risks effectively through designing work environments that are risk-free.
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Dissertations / Theses on the topic "Risk identification and assessment"

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Silva, Liliane Sheyla da. "A Risk Identification Technique for Requirements Assessment." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/10903.

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Submitted by Pedro Henrique Rodrigues (pedro.henriquer@ufpe.br) on 2015-03-05T18:53:32Z No. of bitstreams: 2 Dissertacao_Liliane.pdf: 2808869 bytes, checksum: 6681e2b17bafbf1b2fb94a8f0d2ad701 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)
Made available in DSpace on 2015-03-05T18:53:32Z (GMT). No. of bitstreams: 2 Dissertacao_Liliane.pdf: 2808869 bytes, checksum: 6681e2b17bafbf1b2fb94a8f0d2ad701 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2012-03-01
CAPES, CNPQ
One recurrent issue in software development is the effective creation of testcases from requirements. Several techniques and methods are applied to minimize the risks associated with test cases building, aiming to meet the requirements specified correctly. Risks identification for requirements assessment is essential to tests cases generation. However, test engineers still face difficulties to apply it in practice due to the lack of solid knowledge about Risk Management activities and tool support for such activities. This work proposes a technique that helps test engineers in risk identification from requirements for software testing. From studies that used the similarity concept to compare software projects in order to reuse previously identified risks, the developed technique uses the same assertion applied to requirements. Within this context, this work aims to: (i) to define a technique based on analogies by categorizing requirements, thus being able to identify risks through a database of similar requirements, and (ii) to reuse risks previously identified at requirements for the evaluation of new requirements.
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Garpenfeldt, Katarina. "Hazard Identification and Risk Assessment : Analysis of a Risk Assessment Process in Emergency Preparedness." Thesis, Högskolan i Gävle, Avdelningen för datavetenskap och samhällsbyggnad, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-31318.

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A challenging yet crucial component of emergency planning is to identify relevant hazards and assess their risk level. Within the Province of Ontario, Canada, governmental emergency management stakeholders are required to use the Hazard Identification and Risk Assessment (HIRA) process, developed by the Province, to meet legislative compliance. The HIRA process is based on the use of risk matrices and hence faces many of the inherent challenges of this method, potentially resulting in a poor risk assessment process with a low quality outcome. The aim of this thesis is to analyze Ontario’s Provincial HIRA process to identify weaknesses, strengths, and gaps, in order to increase understanding for potential issues related to this type of hazard identification and risk assessment process within emergency preparedness. The Provincial HIRA process will be analyzed, as it is implemented in the Regional Municipality of York, including the Public Health Unit, by comparing the process to six points identified in the literature as potential challenges with the ability to compromise the quality of a risk assessment process. The main focus is on the use of risk matrices although some aspects more generally related to risk assessments have been included. Overall the Provincial HIRA has several weaknesses and gaps. It is evident that the process demonstrates many of the issues that impair the quality of risk assessments supported by the use of risk matrices such as ambiguous input and out-puts, errors, poor resolution and sub-optimal resource allocation. Additionally, a significant amount of resources and access to hazard subject matter expertise would be required to execute the HIRA in accordance with the guideline. Such resources are not necessarily available to the target audience. All these aspects contribute to a risk assessment process that struggles to meet one of its main objectives, to provide the user with a quantitative risk ranking with the capacity to distinguish between risk levels of different hazards. Subsequently the outcome may not accurately support the emergency planning or the decision making process related to resource allocation.
Identifiering av lokalt relevanta faror och bedömning av deras risknivåer är en kritisk och komplex del av arbetsområdet beredskap för nödsituationer (eng. emergency preparedness). Myndigheter som bedriver verksamhet inom detta område i provinsen Ontario, Kanada  är enligt lag skyldiga att genomföra en ”Hazard Identification and Risk Assessment” (HIRA) process, utvecklad av provinsen. HIRA-metoden är baserad på användandet av risk matriser och står således inför många av denna metods inneboende utmaningar vilket kan resultera i svag riskbedömningsprocess med tvivelaktigt resultat. Syftet med denna uppsats är att analysera Ontarios HIRA-process för att identifiera potentialla svagheter, styrkor och luckor i processen och således generera insikt i potentiella utmaningar relaterat till denna typ av riskbedömningsprocess inom ”emergency preparedness”.  HIRA-processen, så som den implementerats i York Region och inom dess folkhälsomyndighet, kommer att analyseras baserat på sex punkter identifierade inom litteraturen som aspekter med förmåga att påverka kvalitén på riskdömningsresultatet. Sammanfattningsvis ses att HIRA-processen innefattar många av de svagheter som diskuteras i litteraturen rörande riskmatriser som till exempel fel, tvetydig in- och utdata, dålig upplösning och suboptimal resursfördelning vilket potentiellt medför en riskbedömningsprocess av låg kvalité. För att genomföra HIRA-processen så som metoden är designad behöver användaren investera en betydande mängd resurser samt helst tillgå expertis inom riskbedömning relaterat till de olika farorna som skall bedömas, vilket inte alltid finns tillgängligt inom de organisationen som genomför en HIRA. Dessa aspekter sammantaget bidrar till en process som inte nödvändigtvis når fram till ett av sina primära mål; att skapa en kvantitativ rangordning av risker med förmåga att särskilja olika farors risknivå. Till följd finns en risk att resultatet av riskbedömning inte stödjer den operativa planeringen eller processen för beslutsfattande relaterad till resursfördelning.
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Smith, Carey. "Studies on weed risk assessment." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09AFM/09afms644.pdf.

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Bibliography: leaves 124-136. This thesis gives an overview of factors used in weed risk assessments and explores the disparity between the measured high accuracy rate of the weed risk assessment system (WRA) as implemented in Australia and the pessimistic assessments of some workers about the possibility of predicting the weed potential of plant species imported in the future. The accuracy of the WRA may not be as high as previously thought, and it varies with weed definition and taxonomic groups. Cluster analysis and comparative analysis by independent contrasts were employed to determine the value of individual biological and ecological questions on the WRA questionnaire. Results showed that some WRA questions could be deleted from the questionnaire and the scores for others weighted differently. The WRA is not a reliable predictor of weeds when it is considered in the context of the base-rate probability of an introduced plant becoming weedy in Australia. As a result a far greater number on non-weeds will be placed on the prohibited imported list than was initially expected.
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Ernst, Pieter Benjamin. "Differences in risk assessment ability between entrepreneurs and non-entrepreneurs." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/29615.

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The aim of this exploratory study was to determine whether there was any significance to the proposition that the ability of individuals to assess entrepreneurial risks differed between entrepreneurs and non-entrepreneurs, with a particular focus on the risk identification and risk prioritisation abilities.A survey strategy was followed which made use of a case study exercise to ascertain what risks the sample groups of entrepreneurs and non-entrepreneurs identified. Demographics and other risk variables, such as risk propensity and risk perception, were also excluded to provide context and eliminate certain alternative explanations.No significant differences were found between entrepreneurs and non-entrepreneurs with respect the risks that they identified in the case study exercise. Entrepreneurs perceived the case study as more favourable and had a higher risk propensity. Entrepreneurs also found the case study exercise more difficult than non-entrepreneurs.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
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Dai, Wei. "Robust Approaches to Marker Identification and Evaluation for Risk Assessment." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11087.

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Assessment of risk has been a key element in efforts to identify factors associated with disease, to assess potential targets of therapy and enhance disease prevention and treatment. Considerable work has been done to develop methods to identify markers, construct risk prediction models and evaluate such models. This dissertation aims to develop robust approaches for these tasks. In Chapter 1, we present a robust, flexible yet powerful approach to identify genetic variants that are associated with disease risk in genome-wide association studies when some subjects are related. In Chapter 2, we focus on identifying important genes predictive of survival outcome when the number of covariates greatly exceeds the number of observations via a nonparametric transformation model. We propose a rank-based estimator that poses minimal assumptions and develop an efficient
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Aurangabadwala, Tehsin T. "DEVELOPMENT OF AN EXPERT ALGORITHM TO IDENTIFY RISKS ASSOCIATED WITH A RESEARCH FACILITY." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1173823780.

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Faizi, Ana. "Information Security Risk Assessment in Cloud." Thesis, Luleå tekniska universitet, Datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-76120.

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This research addresses the issue of information security risk assessment (ISRA) on cloud solutions implemented for large companies. Four companies were studied, of which three used cloud services and conducted ISRA, while one provided cloud services and consultancy to customers on ISRA. Data were gathered qualitatively to (1) analyze the cloud using companies’ practices and (2) to identify regularities observed by the cloud providing company. The COAT-hanger model, which focuses on theorizing the practices, was used to study the practices. The results showed that the companies aimed to follow the guidelines, in the form of frameworks or their own experience, to conduct ISRA; furthermore, the frameworks were altered to fit the companies’ needs. The results further indicated that one of the main concerns with the cloud ISRA was the absence of a culture that integrates risk management. In addition, the companies’ boards lacked interest in and/or awareness of risks associated with the cloud solutions. Finally, the finding also stressed the importance of a good understanding and a well written legal contract between the cloud providers and the companies utilizing the cloud services.
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Feng, Zekang, Rui He, Wen Zhu, and Fazal Amin. "Supply Side Risks Assessment of the Supply Chain : A case study of the Supply Side Risks Assessment in HUAWEI’s Supply Chain." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-64872.

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Research questions 1. What kind of risks in the supply side of HUAWEI supply chain can be identified? 2. How can supply side risks of HUAWEI supply chain be assessed? 3. How can supply side risks of HUAWEI supply chain be mitigated? Purpose This paper describes supply side risks in HUAWEI in China, the types of risks identified, provides guidelines for assessment of these risks and suggestions for mitigation. Methodology In order to answer above research questions empirical data have been collected through observations, interviews at with logistics managers of HUAWEI in China, and from the official documents, annual reports and authentic web pages of the HUAWEI. Theoretical framework has been built through scientific articles, peer reviewed journals, authentic web based documents, and textbooks. The information is then assessed and analyzed, which result in conclusion and recommendations for the company. Conclusion There can be four major risks identified on the supply side. Manufacturing risk, logistics risk, information risk and inventory risk. The manufacturing risk include risks related to production, skill, and quality. The logistics risk further include delivery risk, lead time risk, and transportation risk. Production risk and skill risk are critical and they can be avoided by enhancing risk awareness, evaluating production feasibility, strengthen staff training, investing in high skills, strengthening R&D, and analysis of the external environment. The quality and inbound delivery risks can be reduced through supplier inspection and establishing good supplier relations. Lead time risk and inventory risk can be reduced by vendor based managed inventory system and mass customization. Meanwhile, transportation risk can adopt risk transfer strategy. The information risk can be reduced by increasing information sharing levels and adopting modern communication technologies.
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Courtney, Jo. "The Identification of Recidivism Indicators in Intellectually Disabled Violent Individuals." The University of Waikato, 2008. http://hdl.handle.net/10289/2313.

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The Assessment of Risk and Manageability in Intellectually Disabled IndividuaLs who Offend (ARMIDILO) was developed to address the need for assessment tests specifically designed for intellectually disabled (ID) individuals who offend. This is the first study focusing on the application of the ARMIDILO by using comparative current risk assessment tests to evaluate the ARMIDILO as an effective risk assessment tool. In this research 16 ID people who have recorded sexual and or violent behaviour offences were evaluated using the Violent Offender Risk Assessment Scale (VORAS), Static-99 and ARMIDILO risk assessment tests. The ARMIDILO, VORAS and Static-99 assessments were completed using individual history files kept within the Regional Forensic Psychiatric Service. The VORAS and Static-99 were adapted to incorporate reported, but not charged or otherwise litigated offences and convictions. The adapted tests were then compared against the ARMIDILO as a risk assessment tool. Analysis of the ARMIDILO showed strong validity in assessing ID people who offend. The main strength of the ARMIDILO is in identifying the risk needs of the ID person who offends and may be an effective management test when used in assessing individual needs and program implementation. Risk assessment through the ARMIDILO showed similar results to Static-99 but compared only moderately with the VORAS in measuring the risk of re-offending. Future research with a larger population may further validate the reliability of the ARMIDILO as an assessment tool. Adaptation of the current score sheet for use by non-clinical and correctional staff may prove cost effective.
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Altoryman, Anood Saleh. "Identification and assessment of risk factors affecting construction projects in the Gulf region : Kuwait and Bahrain." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/identification-and-assessment-of-risk-factors-affecting-construction-projects-in-the-gulf-region-kuwait-and-bahrain(62ddc6ab-7d43-4e69-bc8b-95b550c62b41).html.

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Many construction projects suffer from mismanagement despite continuous improvement in the field of project risk management. With the construction boom in the Middle East, and especially the Gulf region, construction projects suffer from a high failure rate. The lack of the implementation of standard risk management methods in the construction industry of the Gulf region leads to construction projects that suffer from poor performance, delays, disputes and claims. In order to design a standard risk management model, there is a need for an in-depth study of the construction environment to lay down the foundation for designing a Standard Construction Risk Management Model in the future. This study aims to identify and assess risk factors during the construction phase of construction projects in the Gulf region focusing on two countries of the Gulf region – the State of Kuwait and Kingdom of Bahrain. The risk factors (RF) were identified and assessed and responsiblty shares were allocated to construction parties: clients, consultants and contractors. The research strategy was a Sequential mixed-method. It was adopted by means of interview surveys followed by a questionnaire. The study started with a qualitative approach in which eleven practitioners were interviewed to evaluate and validate a questionnaire. This was followed by questionnaires distributed to a representative sample of 140 consultants, 128 contractors and 139 clients in the State of Kuwait, in addition to 71 consultants, 99 contractors and 78 clients in the Kingdom of Bahrain, to assess the negative impact of the risk factors during the construction phase on the completion of construction projects. Parametric tests were used to analyse the collected data. Including, the Analysis of Variance (ANOVA) test, the independent-samples t-test, and Pearson correlation coefficient (r) test. The study revealed a difference in perception of the risk factors negative impact on project completion between Kuwait and Bahrain, Bahrain perceives highest degree of impact on projects. On the categories level, both countries agreed on the Finance category as the main factor threatening project completion, and the External category as having the least impact. In Kuwait, almost all parties agreed on the negative impact of all categories on project completion except contractors who have different perception on management category. Furthermore, clients and consultants held different perceptions on the impact of design category. Bahrain results reveal significant differences in perceptions on the impact of categories between clients and the other parties, however there are slight differences between consultants and contractors in all categories. The limitations of the study include only large contractors and consultants in Kuwait and Bahrain were included in the study. The study was limited to the construction phase of construction projects and only six categories of risk factors were included in the study and This research was based on practitioners and participants opinions rather than actual occurrences on projects.
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Books on the topic "Risk identification and assessment"

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J, Vaughan Emmett, ed. Risk identification and measurement tool supplement to accompany Risk management. New York: Wiley, 1997.

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Rossetti, Louis Michael. High-risk infants: Identification, assessment, and intervention. Austin, Tex: Pro-Ed, 1991.

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High-risk infants: Identification, assessment, and intervention. Boston: Little, Brown, 1986.

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Environmental risk: Identification and management. Chelsea, MI: Lewis Publishers, 1991.

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Child neglect: Identification and assessment. Basingstoke [England]: Palgrave Macmillan, 2007.

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Artero, Juan P. Corporate governance and risk identification in global media companies. Pamplona: Ediciones Universidad de Navarra, 2009.

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Heino, Perttu. Fluid property reasoning in knowledge-based hazard identification. Espoo [Finland]: Technical Research Centre of Finland, 1999.

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Wu, James T. Early risk assessment of cancer and atherosclerosis: Identification of common risk markers, and preventive nutrition. Washington, DC: AACC Press, 2004.

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Patrick, Bartel, Forth Adelle E, and Psychological Assessment Resources Inc, eds. SAVRY: Structured assessment of violence risk in youth : professional manual. Lutz, FL: PAR, 2006.

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McDowall, M. E. The identification of man-made environmental hazards to health: A manual of epidemiology. London: Macmillan, 1987.

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Book chapters on the topic "Risk identification and assessment"

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Rausand, Marvin. "Hazard Identification." In Risk Assessment, 213–63. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118281116.ch9.

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Bredfeldt, Tiffany, and Daniel E. Arrieta. "Hazard Identification." In Toxicological Risk Assessment for Beginners, 19–41. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12751-4_2.

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Simon, Ted W. "Perception, Planning, and Scoping, Problem Formulation, and Hazard Identification." In Environmental Risk Assessment, 63–112. Second edition. | Boca Raton : CRC Press, [2020]: CRC Press, 2019. http://dx.doi.org/10.1201/9780429286001-2.

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Trim, Peter, and Yang-Im Lee. "Threat Identification and Risk Assessment." In Strategic Cyber Security Management, 81–114. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003244295-5.

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Palla, Carola, and Andrea Porfiri. "Pulmonary Nodules: Identification and Risk Assessment." In Thoracic Radiology, 35–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35765-8_4.

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Gratt, Lawrence B. "Identification of Key Risks under Different Measures for a Future Oil Shale Industry." In Risk Assessment and Management, 71–81. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-6443-7_8.

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Santillana Farakos, Sofia M., Melinda M. Hayman, and Michael B. Batz. "Hazard Identification." In Risk Assessment Methods for Biological and Chemical Hazards in Food, 271–300. Boca Raton : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429083525-12.

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Angermeier, Daniel, Alexander Nieding, and Jörn Eichler. "Supporting Risk Assessment with the Systematic Identification, Merging, and Validation of Security Goals." In Risk Assessment and Risk-Driven Quality Assurance, 82–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57858-3_7.

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Bagtzoglou, Amvrossios C., Andrew F. B. Tompson, and David E. Dougherty. "Probabilistic Simulation for Reliable Solute Source Identification in Heterogeneous Porous Media." In Water Resources Engineering Risk Assessment, 189–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76971-9_12.

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Umberger, Harold, and Adrian Gheorghe. "Cyber Security: Threat Identification, Risk and Vulnerability Assessment." In Energy Security, 247–69. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0719-1_13.

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Conference papers on the topic "Risk identification and assessment"

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Crowe, Amy, Tara Smyser, Mireille Raby, Kirk Bateman, and Matthew Rizzo. "Visual Attention and Roadway Landmark Identification in At-Risk Older Drivers,." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1033.

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Mixia, Liu, Yu Dongmei, Zhang Qiuyu, and Zhu Honglei. "Network Security Risk Assessment and Situation Analysis." In 2007 International Workshop on Anti-Counterfeiting, Security and Identification. IEEE, 2007. http://dx.doi.org/10.1109/iwasid.2007.373676.

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Ratnaningsih, Anik, Yeny Dhokhikah, and Anisa Fitria. "Hazard identification, risk analysis and risk assessment on high-rise building construction project." In HUMAN-DEDICATED SUSTAINABLE PRODUCT AND PROCESS DESIGN: MATERIALS, RESOURCES, AND ENERGY: Proceedings of the 4th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2017. Author(s), 2018. http://dx.doi.org/10.1063/1.5042870.

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Wang, Chunming, Lin Liu, and Xingtong Chen. "Risk Identification and Assessment of Emerging Platform." In 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210121.113.

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Mohasseb, Alaa, Benjamin Aziz, and Andreas Kanavos. "SMS Spam Identification and Risk Assessment Evaluations." In 1st International Special Session on Data Mining and Machine Learning Applications for Cyber Security. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010022404170424.

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Nikolic, Bozo, and Ljiljana Ruzic-Dimitrijevic. "Risk Assessment of Information Technology Systems." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3368.

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Risk assessment is a structured and systematic procedure, which is dependent upon the correct identification of hazards and an appropriate assessment of risks arising from them, with a view to making inter-risk comparisons for purposes of their control and avoidance. There are differences in the methodology used to conduct risk assessments. This paper presents some methodologies of risk management in the IT (information technology) area. In addition, a method of risk assessment created and applied by our expert team in this area is described. As there is a similarity between these methodologies, the paper presents the use of methods from the occupational health area in the IT area. All items in the risk assessment methodology for working environment and workplace are modified to IT as working environment and to an application as a workplace. In that way, the risk assessment process in the safety analysis of an IT system is carried out by an original method from the occupational health area.
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Bahri, Samsul, and Abdy Kurniawan. "Hazards identification and risk assessment in air cooling machine operation in TS. Sultan Hasanuddin using hazard identification risk assessment and risk control (HIRARC) method." In THE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0117312.

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Tang, Tianpei, Senlai Zhu, and Yang Cao. "Safety Risk Factors Identification and Safety Risk Classification Assessment for Rural Roadsides." In 19th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482292.336.

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Baran Pouyan, M., M. Nourani, and M. Pompeo. "Clustering-based limb identification for pressure ulcer risk assessment." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319328.

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Baron, Edward A. "Assessment and identification of concrete box-girder bridges." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0218.

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<p>This work consists in identify and assess the properties related to material, geometry and physic sources, in a pre-stressed concrete bridge through a surrogate model. The use of this mathematical model allows to generate a relationship between bridge properties and its dynamic response, with the purpose to develop a tool to predict the analytical values of the studied properties from measured eigenfrequencies. Therefore, it is introduced the identification of damage scenarios, giving the application for validate the generated metamodel (Artificial Neural Network). A FE model is developed to simulate the studied structure, a Colombian bridge called "El Tablazo", one of the higher in the country of this type (box-girder bridge). Once the damage scenarios are defined, this work allows to indicate the basis for futures plans of structural health monitoring.</p>
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Reports on the topic "Risk identification and assessment"

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Bernknopf, R. L. A geographic information system (GIS) based risk assessment model for the identification of environmental hazards. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/193879.

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Harvey, Terry, and Nancy Bauer. Development of Military IRIS System for the Hazard Identification and Risk Assessment/Characterization of Defense Related Pollutants. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada637527.

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Zio, Enrico, and Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, May 2012. http://dx.doi.org/10.57071/155chr.

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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise. The document provides: a description of the risk assessment process, as used in hazardous industries such as nuclear power and offshore oil and gas extraction; a classification of sources of uncertainty (both epistemic and aleatory) and a description of techniques for uncertainty representation; a description of the different steps involved in a Probabilistic Risk Assessment (PRA) or Quantitative Risk Assessment (QRA), and an analysis of the types of uncertainty that can affect each of these steps; annexes giving an overview of a number of tools used during probabilistic risk assessment, including the HAZID technique, fault trees and event tree analysis.
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Sett, Dominic, Christina Widjaja, Patrick Sanady, Angelica Greco, Neysa Setiadi, Saut Sagala, Cut Sri Rozanna, and Simone Sandholz. Hazards, Exposure and Vulnerability in Indonesia: A risk assessment across regions and provinces to inform the development of an Adaptive Social Protection Road Map. United Nations University - Institute for Environment and Human Security, March 2022. http://dx.doi.org/10.53324/uvrd1447.

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Risk induced by natural hazards and climate change has been accelerating worldwide, leading to adverse impacts on communities' well-being. Dealing with this risk is increasingly complex and requires cross-sectoral action. Adaptive Social Protection (ASP) has emerged as a promising approach to strengthen the resilience of communities by integrating Social Protection (SP), Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) efforts. To inform this integration and thereby support the development of a functional ASP approach, the identification and provision of relevant data and information are vital. In this context, risk assessments are crucial as they establish the groundwork for the design of effective ASP interventions. However, despite the importance of risk information for ASP and the abundance of sectoral assessments, there is not yet a comprehensive risk assessment approach, a reality that also applies to Indonesia. Although the country is one of the international pioneers of the concept and has enshrined ASP at the highest national level in its development plans, this emphasis in policy and practice has been hampered by the absence of more unified assessment methods. The Hazard, Exposure and Vulnerability Assessment (HEVA) presented here takes a unique approach to develop such a cross-sectoral risk assessment and apply it throughout Indonesia. The HEVA brings together different risk understandings of key actors both internationally and domestically within SP, DRM and CCA, as well as identifying commonalities across sectors to establish a joint understanding. The HEVA not only considers risk as an overarching outcome but also focuses on its drivers, i.e. hazards, exposure and vulnerability, to identify why specific communities are at risk and thus customize ASP interventions. Subsequently, risks are assessed for Indonesia’s regions and provinces based on this cross-sectoral risk understanding. Secondary data has been acquired from various existing sectoral assessments conducted in Indonesia, and in total, data for 44 indicators has been compiled to calculate hazard, exposure and vulnerability levels for all 34 Indonesian provinces. Findings of the HEVA suggest that overall risk is high in Indonesia and no single province can be characterized as a low-risk area, demonstrating a strong relevance for ASP throughout the whole of the country. Papua, Maluku, and Central Sulawesi were identified as provinces with the highest overall risk in Indonesia. However, even Yogyakarta, which was identified as a comparatively low-risk province, still ranks among the ten most hazard-prone provinces in the country and has a demonstrated history of severe impact events. This also underlines that the composition of risk based on the interplay of hazard, exposure and vulnerability differs significantly among provinces. For example, in Papua and West Papua, vulnerability ranks as the highest in Indonesia, while hazard and exposure levels are comparatively low. In contrast, East Java and Central Java are among the highest hazard-prone provinces, while exposure and vulnerability are comparatively low. The results provide much more comprehensive insight than individual sectoral analyses can offer, facilitating the strategic development and implementation of targeted ASP interventions that address the respective key risk components. Based on lessons learned from the development and application of the HEVA approach, as well as from the retrieved results, the report provides recommendations relevant for policymakers, practitioners and researchers. First, recommendations regarding risk assessments for ASP are given, emphasizing the need to bring together sectoral understandings and to consider the interconnection of hazards, exposure and vulnerability, including their drivers and root causes, to assess current and future risk. It is also recommended to complement national level assessments with more specific local assessments. Secondly, recommendations regarding ASP option development in general are provided, including the importance of considering side effects of interventions, root causes of risks, the potential of nature-based solutions and barriers to implementation due to local capacities when designing ASP interventions. Third, recommendations regarding focal areas for ASP programmes are outlined for the case of Indonesia, such as prioritizing interventions in risk hotspots and areas characterized by high readiness for ASP solutions. At the same time, it is vital to leave no region behind as all provinces face risks that potentially jeopardize communities’ well-being.
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Michael Ebert. Creating New Incentives for Risk Identification and Insurance Process for the Electric Utility Industry (initial award through Award Modification 2); Energy & Risk Transfer Assessment (Award Modifications 3 - 6). Office of Scientific and Technical Information (OSTI), February 2008. http://dx.doi.org/10.2172/949198.

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Khvostina, Inesa, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, and Ekaterina Shmeltser. Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4120.

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The need to control the risk that accompanies businesses in their day- to-day operations, and at the same time changing economic conditions make risk management an almost indispensable element of economic life. Selection of the main aspects of the selected phases of the risk management process: risk identification and risk assessment are related to their direct relationship with the subject matter (risk identification to be managed; risk analysis leading to the establishment of a risk hierarchy, and, consequently, the definition of risk control’ methods) and its purpose (bringing the risk to acceptable level). It is impossible to identify the basic patterns of development of the oil and gas industry without exploring the relationship between economic processes and enterprise risks. The latter are subject to simulation, and based on models it is possible to determine with certain probability whether there have been qualitative and quantitative changes in the processes, in their mutual influence on each other, etc. The work is devoted to exploring the possibilities of applying the Granger test to examine the causal relationship between the risks and obligations of oil and gas companies. The analysis is based on statistical tests and the use of linear regression models.
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Mobley, Joleen, and Stafford D. Coakley. Training Munitions Health Risk Assessment No. 39-EJ-1485-00 Residential Exposure from Inhalation of Air Emissions from the M200 5.56-MM Blank Cartridge. Department of Defense Identification Code: A080. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada397436.

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Mobley, Joleen, and Stafford D. Coakley. Training Munitions Health Risk Assessment No. 39-EJ-1485-00 Residential Exposure from Inhalation of Air Emission from the M882 9-MM Ball Cartridge. Department of Defense Identification Code: A363. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada397442.

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Ali, Rassul. Konzeptentwicklung für CDM-Projekte - Risikoanalyse der projektbezogenen Generierung von CO2-Zertifikaten (CER). Sonderforschungsgruppe Institutionenanalyse, 2007. http://dx.doi.org/10.46850/sofia.9783933795842.

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The Clean Development Mechanism (CDM) is a complex legal-institutional system that, on the one hand, offers industrialized countries options for cost-effective emission reductions and, on the other, provides developing countries with opportunities for sustainable development. Investors face the difficulty of identifying suitable CDM projects from approximately 130 possible host countries and nearly 60 possible project activities. In order to develop points of reference for strategic investments, this paper identifies and categorizes the risks arising in the value creation process of bilateral energy projects into four action-related levels. At the host level, the focus is on political-institutional and sector-specific risks, while at the investor state level, the legal design of the CDM's complementary function is relevant. The project level covers technology- and process-related risks, with the identification of the reference case and the proof of additionality posing particular problems. The future design of the CDM and the reform of the procedure at the UNFCCC level pose a fundamental risk. A two-stage assessment procedure is proposed for risk assessment: a rough analysis captures sociographic, climate policy, institutional and sector-specific criteria of the host. The differentiation of the project stage allows the localization of the project in the value chain and a differentiation regarding the use of methods. The assessment of project registration is based on the methods used and gives recognition rates per method and project category; project performance is measured in terms of the ratio of emission reductions actually realized to those planned in the project documentation. A detailed analysis following the coarse analysis provides qualitative guidance for project evaluation. These include the Executive Board's methodological principles, correct application of methodologies, identification of the reference case, proof of additionality, as well as the financial conditions of the relevant sector and publicity-related aspects. Despite individual hosts and project technologies, the developed two-step risk analysis allows, with relatively little effort and in line with business practice, an initial assessment of CDM project risks, so that overall it lays a fundamental building block for the elaboration of a strategic implementation and sustainable investment under the CDM.
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Chang, Hsieng-Ye, and Stafford D. Coakley. Training Munitions Health Risk Assessment NO. 39-EJ-1485-00 Residential Exposure from Inhalation of Air Emissions from the 155-MM Propelling Charge (M3 Series) Department of Defense Identification Code: D540. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada397517.

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