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Journal articles on the topic 'Risk environments'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Pritchard, Tricia. "Appropriate risk-taking environments." Early Years Educator 8, no. 11 (February 2007): 6. http://dx.doi.org/10.12968/eyed.2007.8.11.22868.

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2

Diez Roux, A. V. "Residential Environments and Cardiovascular Risk." Journal of Urban Health: Bulletin of the New York Academy of Medicine 80, no. 4 (December 1, 2003): 569–89. http://dx.doi.org/10.1093/jurban/jtg065.

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3

Dion, Michel. "Risk Environments and Corporate Governance." Journal of Transnational Management 12, no. 3 (October 30, 2007): 53–69. http://dx.doi.org/10.1300/j482v12n03_05.

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4

Cooper, Hannah L. F., Kimberly Jacob Arriola, Regine Haardörfer, and Colleen M. McBride. "Population-Attributable Risk Percentages for Racialized Risk Environments." American Journal of Public Health 106, no. 10 (October 2016): 1789–92. http://dx.doi.org/10.2105/ajph.2016.303385.

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5

Schürmann, Oliver, Renato Frey, and Timothy J. Pleskac. "Mapping risk perceptions in dynamic risk‐taking environments." Journal of Behavioral Decision Making 32, no. 1 (August 14, 2018): 94–105. http://dx.doi.org/10.1002/bdm.2098.

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6

Rousseau, Denise M., and Carolyn Libuser. "Contingent Workers in High Risk Environments." California Management Review 39, no. 2 (January 1997): 103–23. http://dx.doi.org/10.2307/41165889.

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7

Bell, Timothy B., W. Robert Knechel, and Jeff L. Payne. "Audit Risk Attributes In Computerized Environments." Review of Business Information Systems (RBIS) 3, no. 2 (April 1, 1999): 27–40. http://dx.doi.org/10.19030/rbis.v3i2.5425.

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8

Wichmann, Matthias C., Karin Johst, Kirk A. Moloney, Christian Wissel, and Florian Jeltsch. "Extinction risk in periodically fluctuating environments." Ecological Modelling 167, no. 3 (September 2003): 221–31. http://dx.doi.org/10.1016/s0304-3800(03)00136-4.

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9

Gould, Dinah. "Infection control in low-risk environments." Nursing Standard 8, no. 29 (April 13, 1994): 30–32. http://dx.doi.org/10.7748/ns.8.29.30.s41.

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10

Gould, Dinah. "Infection control in high-risk environments." Nursing Standard 8, no. 30 (April 20, 1994): 57–61. http://dx.doi.org/10.7748/ns.8.30.57.s37.

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11

Real, L., and T. Caraco. "Risk and Foraging in Stochastic Environments." Annual Review of Ecology and Systematics 17, no. 1 (November 1986): 371–90. http://dx.doi.org/10.1146/annurev.es.17.110186.002103.

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12

Lönnstedt, Oona M., Mark I. McCormick, and Douglas P. Chivers. "Degraded Environments Alter Prey Risk Assessment." Ecology and Evolution 3, no. 1 (January 2013): 38–47. http://dx.doi.org/10.1002/ece3.388.

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13

Brock, J. Michelle, Andreas Lange, and Erkut Y. Ozbay. "Dictating the Risk: Experimental Evidence on Giving in Risky Environments." American Economic Review 103, no. 1 (February 1, 2013): 415–37. http://dx.doi.org/10.1257/aer.103.1.415.

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We study if and how social preferences extend to risky environments. We provide experimental evidence from different versions of dictator games with risky outcomes and establish that preferences that are exclusively based on ex post or on ex ante comparisons cannot generate the observed behavioral patterns. The more money decision-makers transfer in the standard dictator game, the more likely they are to equalize payoff chances under risk. Risk to the recipient does, however, generally decrease the transferred amount. Ultimately, a utility function with a combination of ex post and ex ante fairness concerns may best describe behavior. (JEL C72, D63, D64, D81)
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14

MacIntosh, Kevin, Derek Williamson, Matthew Armstrong, Leo Brewster, and Ricardo Arthur. "BARBADOS COASTAL RISK ASSESSMENT AND MANAGEMENT PROGRAMME." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 52. http://dx.doi.org/10.9753/icce.v36.risk.52.

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Monitoring of coastal environments is critical to understanding the responses of the natural environment to human interventions. The ability to definitively attribute impacts to a development versus those which are part of the natural variation of a dynamic system is a valuable tool to understanding the successes and failures of coastal zone management planning. The Coastal Zone Management Unit of the Government of Barbados (CZMU) undertook the Coastal Risk Assessment and Management (CRMP) project to define the baseline conditions and risks for the entire coastline of Barbados in order to have this comprehensive database upon which to base future decisions and coastal planning. This paper will focus on three of the nine baseline studies and the unique approaches used, and challenges encountered, along the way.
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15

NAVARRO-BARRIENTOS, J. EMETERIO, FRANK E. WALTER, and FRANK SCHWEITZER. "RISK-SEEKING VERSUS RISK-AVOIDING INVESTMENTS IN NOISY PERIODIC ENVIRONMENTS." International Journal of Modern Physics C 19, no. 06 (June 2008): 971–94. http://dx.doi.org/10.1142/s0129183108012662.

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We study the performance of various agent strategies in an artificial investment scenario. Agents are equipped with a budget, x(t), and at each time step invest a particular fraction, q(t), of their budget. The return on investment (RoI), r(t), is characterized by a periodic function with different types and levels of noise. Risk-avoiding agents choose their fraction q(t) proportional to the expected positive RoI, while risk-seeking agents always choose a maximum value q max if they predict the RoI to be positive ("everything on red"). In addition to these different strategies, agents have different capabilities to predict the future r(t), dependent on their internal complexity. Here, we compare "zero-intelligent" agents using technical analysis (such as moving least squares) with agents using reinforcement learning or genetic algorithms to predict r(t). The performance of agents is measured by their average budget growth after a certain number of time steps. We present results of extensive computer simulations, which show that, for our given artificial environment, (i) the risk-seeking strategy outperforms the risk-avoiding one, and (ii) the genetic algorithm was able to find this optimal strategy itself, and thus outperforms other prediction approaches considered.
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16

Bakos, Levente, and Dănuț Dumitru Dumitrașcu. "Decentralized Enterprise Risk Management Issues under Rapidly Changing Environments." Risks 9, no. 9 (September 10, 2021): 165. http://dx.doi.org/10.3390/risks9090165.

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Under the growing complexity of manufacturing processes, supply chains, markets and stakeholder expectations, enterprise risk management (ERM) has become an extremely important, probably yet still underdeveloped, management function. Enterprise risk management theory and practice should keep pace with the changes of rapidly changing environments, through new, more adaptive approaches. The article presents some of the results of a longitudinal survey at Eastern-European manufacturing organizations made on risk management techniques. The goal of the research was the study of risk management techniques under rapidly changing environments in highly standardized industries (pharmaceutical and automotive). The research was focused on the role of human resources in handling technology-related/operational risks and to what extent a decentralized risk management is present. Multidisciplinary cooperation, the selection of the teams, communication and the decision making within the team was analysed. During our research few common risk analysis routines were identified at the studied organizations. Through an interview-based qualitative survey, possible weaknesses of common risk identification techniques were identified. The article presents three risk evaluation methods with the same features. The answers provided during the interviews indicate that risk assessment techniques are mostly centralized (coordinated by a single person/unit), linear (based on If-Then construct) and rigid, definitively not suitable when quick changes are in the organization environment.
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17

Carrasco, Ana Rita, Óscar Ferreira, and Ana Matias. "Managing flood risk in fetch-limited environments." Journal of Coastal Research 65 (January 2, 2013): 892–97. http://dx.doi.org/10.2112/si65-151.1.

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18

McDaniels, T. L., L. J. Axelrod, N. S. Cavanagh, and P. Slovic. "Perception of ecological risk to water environments." Insurance: Mathematics and Economics 22, no. 2 (June 1998): 190–91. http://dx.doi.org/10.1016/s0167-6687(98)80048-6.

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19

McNicoll, Geoffrey, Jeanne X. Kasperson, Roger E. Kasperson, and B. L. Turner. "Regions at Risk: Comparisons of Threatened Environments." Population and Development Review 22, no. 2 (June 1996): 380. http://dx.doi.org/10.2307/2137448.

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20

Vögel, Colleen. "Regions at risk: Comparisons of threatened environments." Global Environmental Change 7, no. 2 (July 1997): 192–93. http://dx.doi.org/10.1016/s0959-3780(97)82918-4.

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21

Bruzzone, A. G., R. Mosca, R. Revetria, and S. Rapallo. "Risk analysis in harbor environments using simulation." Safety Science 35, no. 1-3 (June 2000): 75–86. http://dx.doi.org/10.1016/s0925-7535(00)00023-0.

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22

Armenakis, Costas, and N. Nirupama. "Estimating spatial disaster risk in urban environments." Geomatics, Natural Hazards and Risk 4, no. 4 (December 2013): 289–98. http://dx.doi.org/10.1080/19475705.2013.818066.

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23

McDaniels, Timothy L., Lawrence J. Axelrod, Nigel S. Cavanagh, and Paul Slovic. "Perception of Ecological Risk to Water Environments." Risk Analysis 17, no. 3 (June 1997): 341–52. http://dx.doi.org/10.1111/j.1539-6924.1997.tb00872.x.

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24

Eggert, Axel. "Intangibility and Perceived Risk in Online Environments." Journal of Marketing Management 22, no. 5-6 (June 2006): 553–72. http://dx.doi.org/10.1362/026725706777978668.

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25

Portnoy, David B., Natalie D. Smoak, and Kerry L. Marsh. "Perceiving interpersonally-mediated risk in virtual environments." Virtual Reality 14, no. 1 (May 24, 2009): 67–76. http://dx.doi.org/10.1007/s10055-009-0120-7.

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26

Ebbs, Phillip, and Prue Gonzalez. "Risk and avoidable harm part 1: recognising risk in paramedicine." Journal of Paramedic Practice 11, no. 9 (September 2, 2019): 1–6. http://dx.doi.org/10.12968/jpar.2019.11.9.cpd1.

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In this two-part continuing professional development series, we explore the complex and often sensitive topic of clinical mistakes and events of avoidable patient harm (sometimes referred to as iatrogenic harm), which may occur within the paramedic practice environment. Even the very best clinicians will make mistakes, and therefore we introduce the science behind why common unintentional mistakes can be made. We discuss how paramedics can better prepare themselves and their teams to more effectively prevent, respond to, and recover from unintentional mistakes that may occur in paramedic practice environments.
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27

Krawczyk, Michal, and Fabrice Le Lec. "Dictating the Risk: Experimental Evidence on Giving in Risky Environments: Comment." American Economic Review 106, no. 3 (March 1, 2016): 836–39. http://dx.doi.org/10.1257/aer.20130779.

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Based on experimental dictator games with probabilistic prospects, Brock, Lange, and Ozbay (2013) conclude that neither ex post nor ex ante comparisons can fully account for observed behavior. We argue that their conclusion that ex ante comparisons cannot explain the data is at best weakly supported by their results, and do so on three grounds: (i) the absence of significant differences between the most relevant treatments, (ii) the implicit assumption of subjects' risk neu trality, and (iii) the asymmetry of treatments regarding the disclosure of dictators' choice. (JEL C72, D63, D64, D81)
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28

Brock, J. Michelle, Andreas Lange, and Erkut Y. Ozbay. "Dictating the Risk: Experimental Evidence on Giving in Risky Environments: Reply." American Economic Review 106, no. 3 (March 1, 2016): 840–42. http://dx.doi.org/10.1257/aer.20141017.

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In Brock, Lange, and Ozbay (2013), we experimentally investigate social preferences under risk. One of our conclusions is that a social preference model incorporating both ex ante and ex post fairness concerns may best describe behavior. Krawczyk and Le Lec (2016 ) argue that ex ante comparisons alone may account for our data. We address their points in this reply. (JEL C72, D63, D64, D81)
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29

Martellini, Lionel, Vincent Milhau, and Andrea Tarelli. "Toward Conditional Risk Parity:Improving Risk Budgeting Techniques in Changing Economic Environments." Journal of Alternative Investments 18, no. 1 (June 30, 2015): 48–64. http://dx.doi.org/10.3905/jai.2015.18.1.048.

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30

Hersman, Deborah A. P., and Emily A. Whitcomb. "Fatigue Risk Management in High-Risk Environments: A Call to Action." Prehospital Emergency Care 22, sup1 (January 11, 2018): 1–2. http://dx.doi.org/10.1080/10903127.2017.1380097.

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31

Henwood, Benjamin F., John Lahey, Taylor Harris, Harmony Rhoades, and Suzanne L. Wenzel. "Understanding Risk Environments in Permanent Supportive Housing for Formerly Homeless Adults." Qualitative Health Research 28, no. 13 (July 4, 2018): 2011–19. http://dx.doi.org/10.1177/1049732318785355.

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In this study, we used ethnographic methods and a risk environment framework to consider how contextual factors produce or reduce risk for substance use with a sample of 27 adults who recently moved into permanent supportive housing (PSH). Most apparent was how the social and physical environments interacted, because most participants focused on how having an apartment had dramatically changed their lives and how they interact with others. Specific themes that emerged that also involved economic and policy environments included the following: isolation versus social engagement; becoming one’s own caseworker; and engaging in identity work. This study underscores the scarcity yet importance of research that examines the multiple types of environment in which PSH is situated, and suggests that a better understanding of how these environments interact to produce or reduce risk is needed to develop optimal interventions and support services.
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32

Çera, Gentjan, Jaroslav Belás, and Zdeněk Strnad. "Important factors which predict entrepreneur’s perception in business risk." Problems and Perspectives in Management 17, no. 2 (June 19, 2019): 415–29. http://dx.doi.org/10.21511/ppm.17(2).2019.32.

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This paper seeks to examine the role of factors originated from outside (economic, political, competitive environment and relationships) and within (entrepreneur’s attitude) the organization on the business risk perceived by entrepreneurs. To test the hypothetical relationships, an ordinal regression with two link functions was applied on an original dataset of 641 small and medium-sized enterprises (SMEs) operating in Slovakia and Czech Republic. The analysis revealed that not only economic factors can predict business risk, but along with them are political and competitive environments, relationship with supply chain actors and entrepreneur’s attitude. Consistent with prior research, it is found that an unstable economic environment leads the business to expose themselves to business risk. Also, a friendly regulation framework and quality education contribute significantly to reducing the level of risk. The research triggers the interest of policymakers who design policies aimed at improving the business environment by reducing the level of risk that firms face in doing business. Also, this paper is useful for managerial perspective, since entrepreneur attitude was found to be a predictor of business risk.
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33

Crane, Adam L., and Maud C. O. Ferrari. "Uncertainty in risky environments: a high-risk phenotype interferes with social learning about risk and safety." Animal Behaviour 119 (September 2016): 49–57. http://dx.doi.org/10.1016/j.anbehav.2016.06.005.

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34

Dimitriadis, Athanasios, Jose Luis Flores, Boonserm Kulvatunyou, Nenad Ivezic, and Ioannis Mavridis. "ARES: Automated Risk Estimation in Smart Sensor Environments." Sensors 20, no. 16 (August 17, 2020): 4617. http://dx.doi.org/10.3390/s20164617.

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Industry 4.0 adoption demands integrability, interoperability, composability, and security. Currently, integrability, interoperability and composability are addressed by next-generation approaches for enterprise systems integration such as model-based standards, ontology, business process model life cycle management and the context of business processes. Security is addressed by conducting risk management as a first step. Nevertheless, security risks are very much influenced by the assets that the business processes are supported. To this end, this paper proposes an approach for automated risk estimation in smart sensor environments, called ARES, which integrates with the business process model life cycle management. To do so, ARES utilizes standards for platform, vulnerability, weakness, and attack pattern enumeration in conjunction with a well-known vulnerability scoring system. The applicability of ARES is demonstrated with an application example that concerns a typical case of a microSCADA controller and a prototype tool called Business Process Cataloging and Classification System. Moreover, a computer-aided procedure for mapping attack patterns-to-platforms is proposed, and evaluation results are discussed revealing few limitations.
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35

Sanger, Terence D. "Risk-Aware Control." Neural Computation 26, no. 12 (December 2014): 2669–91. http://dx.doi.org/10.1162/neco_a_00662.

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Human movement differs from robot control because of its flexibility in unknown environments, robustness to perturbation, and tolerance of unknown parameters and unpredictable variability. We propose a new theory, risk-aware control, in which movement is governed by estimates of risk based on uncertainty about the current state and knowledge of the cost of errors. We demonstrate the existence of a feedback control law that implements risk-aware control and show that this control law can be directly implemented by populations of spiking neurons. Simulated examples of risk-aware control for time-varying cost functions as well as learning of unknown dynamics in a stochastic risky environment are provided.
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36

Kuo, Su-Hui, and Hung-Chou Lin. "Effects of Food Environments and Eating Environments on Consumers’ Food Consumption Volume." Journal of Food Quality 2019 (May 28, 2019): 1–7. http://dx.doi.org/10.1155/2019/7237602.

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Even though the influences of eating environments and the food environments on consumption have been discussed, little has been done to examine whether the food environments would be influenced by the eating environments. For example, the size of plate has been proved to have impact on consumers’ consumption volume; it is still unknown whether the eating environment would interact with the food environment and in turn influences consumers’ consumption volume. This research explores the underlying mechanisms how consumers are influenced by the size of bowl when they consume food. In addition, eating environments are also incorporated to discuss their effects on the relationship between bowl size and consumers’ consumption volume. The results indicate people who receive a large bowl with large chopsticks exhibit greater food consumption than those who receive a small bowl with small chopsticks. However, when people use tableware inconsistently, they exhibit similar food consumption. Under bright illumination, people given large bowls with large chopsticks exhibit greater food consumption than those given small bowls with small chopsticks; however, when people use inconsistently sized tableware, they exhibit similar food consumption. Under dim illumination, no significant differences in food consumption amount are evident in association with bowl and chopstick sizes.
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37

Hsu, Bing-Mu. "Surveillance and Evaluation of the Infection Risk of Free-Living Amoebae — Acanthamoeba in Aquatic Environments." International Journal of Environmental Science and Development 7, no. 6 (2016): 445–48. http://dx.doi.org/10.7763/ijesd.2016.v7.817.

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38

Almeida, Nuno Marques, Vitor Sousa, Luís Alves Dias, and Fernando Branco. "ENGINEERING RISK MANAGEMENT IN PERFORMANCE-BASED BUILDING ENVIRONMENTS." Journal of Civil Engineering and Management 21, no. 2 (January 30, 2015): 218–30. http://dx.doi.org/10.3846/13923730.2013.802740.

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Nowadays, a wide range of stakeholders seek explicit performance and risk information on construction projects. These stakeholders include end-users, authorities, insurance companies and financial institutions, among others. They look for proof that engineering risks are being properly managed and that specified performance-based requirements are fulfilled throughout all stages of the project (e.g. technical requirements related to the building such as structural safety, structural serviceability, structural durability, fire safety, energy efficiency, or others). Such demonstration can be conveyed through statements of technical conformity, such as technical risk reports or engineering performance certificates. Statements of conformity are particularly valuable to make informed decisions associated with contractual or other legal warranties against building nonconformities. This paper describes the conceptual background and the methodologies undertaken to design and develop a management framework that enables recognition of the conformity assessment results of building projects. It also presents the outreach of this management framework throughout the planning, programming, design, construction and use phases of building projects. This paper also summarizes the wide range of practical implications and benefits of this management framework for authorities and official bodies, owners and their representatives, banks and insurance companies, conformity assessment bodies, designers, builders, suppliers and end-users.
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39

Rasheed, Shahid, ChangFeng Wang, and Bruno Lucena. "Risk Leveling in Program Environments—A Structured Approach for Program Risk Management." Sustainability 7, no. 5 (May 13, 2015): 5896–919. http://dx.doi.org/10.3390/su7055896.

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40

Ebbs, Phillip, Prue Gonzalez, and Paola Castillo. "Risk and avoidable harm Part 2: responding to risk." Journal of Paramedic Practice 11, no. 10 (October 2, 2019): 1–8. http://dx.doi.org/10.12968/jpar.2019.11.10.cpd1.

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In this two-part continuing professional development series, we explore the complex and often sensitive topic of clinical mistakes and events of avoidable patient harm—sometimes referred to as iatrogenic harm—which may occur in paramedic practice environments. As has been shown in part 1 of this series, the potential for mistakes and avoidable harm must be seen as a persisting risk within healthcare. Our response as paramedics must be one of empathy towards those involved in incidents of avoidable harm, and also one of duty to better understand the nature of risk and unintentional error within paramedic practice environments.
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41

Haccou, Patsy, and Vladimir Vatutin. "Establishment success and extinction risk in autocorrelated environments." Theoretical Population Biology 64, no. 3 (November 2003): 303–14. http://dx.doi.org/10.1016/s0040-5809(03)00092-3.

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42

Sarmiento, Juan Pablo, and Ana María Torres-Muñoz. "Risk Transfer for Populations in Precarious Urban Environments." International Journal of Disaster Risk Science 11, no. 1 (February 2020): 74–86. http://dx.doi.org/10.1007/s13753-020-00252-3.

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43

Alsoghayer, Raid, and Karim Djemame. "Resource failures risk assessment modelling in distributed environments." Journal of Systems and Software 88 (February 2014): 42–53. http://dx.doi.org/10.1016/j.jss.2013.09.017.

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44

Verhoeff, Arnoud P., and Harriet A. Burge. "Health Risk Assessment of Fungi in Home Environments." Annals of Allergy, Asthma & Immunology 78, no. 6 (June 1997): 544–56. http://dx.doi.org/10.1016/s1081-1206(10)63214-0.

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45

Hounslow, Arthur W. "Environments at Risk: Case Histories of Impact Assessment." Geochimica et Cosmochimica Acta 55, no. 5 (May 1991): 1490. http://dx.doi.org/10.1016/0016-7037(91)90327-2.

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46

Stratton, P., and B. Birch. "Introduction to minimising risk in heat treatment environments." International Heat Treatment and Surface Engineering 1, no. 1 (January 2007): 21–29. http://dx.doi.org/10.1179/174951407x169204.

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47

Turnbull, Laurie, and Abubaker Haddud. "Exploring risk management strategies in global business environments." International Journal of Risk Assessment and Management 21, no. 4 (2018): 302. http://dx.doi.org/10.1504/ijram.2018.095787.

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48

Haddud, Abubaker, and Laurie Turnbull. "Exploring risk management strategies in global business environments." International Journal of Risk Assessment and Management 21, no. 4 (2018): 302. http://dx.doi.org/10.1504/ijram.2018.10016899.

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49

Poulsen, Emil. "Risk Assessment for People Exposed from Different Environments." Pharmacology & Toxicology 72 (February 1993): 51–54. http://dx.doi.org/10.1111/j.1600-0773.1993.tb01669.x.

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50

Albakri, Sameer Hasan, Bharanidharan Shanmugam, Ganthan Narayana Samy, Norbik Bashah Idris, and Azuan Ahmed. "Security risk assessment framework for cloud computing environments." Security and Communication Networks 7, no. 11 (January 10, 2014): 2114–24. http://dx.doi.org/10.1002/sec.923.

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