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Journal articles on the topic 'Risk of change'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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1

Bhatkoti, Roma, Glenn E. Moglen, Pamela M. Murray-Tuite, and Konstantinos P. Triantis. "Changes to Bridge Flood Risk under Climate Change." Journal of Hydrologic Engineering 21, no. 12 (December 2016): 04016045. http://dx.doi.org/10.1061/(asce)he.1943-5584.0001448.

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2

TAYLOR, RALPH B., and JEANETTE COVINGTON. "Ecological Change, Changes in Violence, and Risk Prediction." Journal of Interpersonal Violence 5, no. 2 (June 1990): 164–75. http://dx.doi.org/10.1177/088626090005002003.

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3

Gupta, Ankur. "Enhancing Climate Change Adaptation & Disaster Risk Reduction in Gorakhpur." Journal of Advanced Research in Alternative Energy, Environment and Ecology 06, no. 3&4 (December 25, 2019): 7–21. http://dx.doi.org/10.24321/2455.3093.201903.

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4

Tsujio, Daiki, and Paul Bates. "RISK ANALYSIS FOR COASTAL FLOODING UNDER CLIMATE CHANGE." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 67. http://dx.doi.org/10.9753/icce.v36.risk.67.

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Climate change and increases in population density in coastal areas might increase the difficulty of coastal management decision-making. Although recent research has proposed several flood risk assessment methods in response to climate change, few approaches have addressed all significant effects. Therefore, this study aims to establish a thorough method to evaluate the risks of future coastal flooding events, including all climate change effects. The study proposes an advanced risk analysis scheme that covers all annual flood events during a target term. To confirm the effectiveness of the proposed model, this study applies the model to actual risk analysis in the North Somerset coast in the UK under 10 different cases.
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5

Kacperczyk, Aleksandra, Christine M. Beckman, and Thomas P. Moliterno. "Disentangling Risk and Change." Administrative Science Quarterly 60, no. 2 (December 29, 2014): 228–62. http://dx.doi.org/10.1177/0001839214566297.

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6

Hoppes, Michelle. "Embracing change … anticipating risk." Journal of Healthcare Risk Management 31, no. 2 (2011): 1–2. http://dx.doi.org/10.1002/jhrm.20081.

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7

Izaguirre, Cristina, Iñigo J. Losada, and Paula Camus. "MUTILEVEL METHODOLOGY TO ADDRESS CLIMATE CHANGE RISK IN PORTS." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 27. http://dx.doi.org/10.9753/icce.v36.risk.27.

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Ports play an important role in worldwide economy, being crucial nodes on the global trading network. Besides, they are singular infrastructures with a long useful life that made them highly sensitive to changes in climate conditions (IPCC, 2014). Their location in coast, rivers or lakes provides high exposure to a wide variety of hazards including sea level rise, changes in extreme sea levels (waves, storm surge) or flooding. Moreover, port operations are susceptible to weather conditions that can lead to disruptions in the commercial activity and, thus, monetary losses. In this context, the development of risk assessment due to climate change and extreme events and adaption guidelines has become a priority for ports and, indeed the economies of countries. However, despite this concern on the part of the sector, to date there are few methodologies, tools or work done in this line.
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Losada, Iñigo J., Paula Camus, Alexandra Toimil, Antonio Espejo, and Cristina Izaguirre. "CLIMATE CHANGE KEY-CHALLENGES IN COASTAL ENGINEERING." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 33. http://dx.doi.org/10.9753/icce.v36.risk.33.

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Coastal engineers play a leading role in assessing climate change impacts in coastal and low-lying areas and in the design and implementation of adaptation solutions to build resilient coastal systems. Given the continuous growth of coastal communities and assets along the world coastlines, the need to protect and preserve natural and socioeconomic coastal systems and the escalating impacts of climate change (Wong et al. 2014), there is an urgent demand by decision makers for coastal engineering practice dealing with risk assessment and adaptation under high levels of uncertainty.
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Camus, Paula, Antonio Tomás, Cristina Izaguirre, Beatriz Rodriguez, Gabriel Díaz-Hernández, and Iñigo Losada. "PROBABILISTIC ASSESSMENT OF PORT OPERABILITY UNDER CLIMATE CHANGE." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 54. http://dx.doi.org/10.9753/icce.v36.risk.54.

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Harbors are strategic infrastructures within the local, regional and global economy. The objective of a harbor is to guarantee the safety, serviceability and exploitation of all activities, for each element, and in all project phases. Within this context, Level III Verification Method is recommended for the probabilistic evaluation of failure modes and operational stoppage modes (downtime) of maritime structures; and the Spanish Recommendations for Maritime Structures (ROM) proposes a simulation method based on the Monte Carlo technique. On the other hand, ports are susceptible to impacts from climate change driven processes, like sea level rise (SLR) or changes in waves and storm surges. These impacts could reduce the functionality of ports and therefore negatively affect the effectiveness of supply chain network. In this work, we focus on a very long-term probabilistic assessment of the port operability due to wave agitation inside the port including the potential effects of climate change.
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10

Kamphuis, William J. "COASTAL ENGINEERING, COASTAL RESEARCH, UNIVERSITIES AND CLIMATE CHANGE." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 88. http://dx.doi.org/10.9753/icce.v36.risk.88.

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Coastal Engineering was new in 1950/1960 and at first, it was all about solving urgent coastal problems. There were no recipes, no formulas, no models; nor was there much experience at that time. Inventiveness and ingenuity were the key design ingredients. Coastal Engineering is a broad subject that is concerned with the interaction between the water and the shore. This involves fluid motion, such as waves and currents and its interaction with a shore that can be anything from sandy beaches to marshlands to highly engineered shorelines, such as found in centers with dense populations. It involves complex hydraulics and fluid mechanics principles on the one hand and complex design criteria on the other hand. It also involves detailed knowledge of the environmental systems where the projects are located. Thus, one obvious need for Coastal Engineering analysis and design is individuals with broad knowledge, interests and background. Such individuals need access to and communication with colleagues in related technical and scientific areas. As a result, much of the early coastal engineering was done at universities.
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11

Renner, Britta, Harald Schupp, Manja Vollmann, Freda-Marie Hartung, Ralf Schmälzle, and Martina Panzer. "Risk perception, risk communication and health behavior change." Zeitschrift für Gesundheitspsychologie 16, no. 3 (July 2008): 150–53. http://dx.doi.org/10.1026/0943-8149.16.3.150.

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Abstract. At a broad level, the Konstanz Health Psychology research group aims at understanding the judgment and decision making processes underlying health-relevant behaviors. Towards this goal, several more specific research agendas are addressed. A primary aim is to understand the transition from knowing about risks to personally feeling at risk. In particular, we study the reception of relevant personalised health feedback such as feedback on cholesterol levels or blood pressure. Contrary to the dominant models of biased reasoning, our results on feedback reception suggest that people respond adaptively to health risk feedback. Furthermore, we study changes in the perception of health risk across time and their associated effects on the onset, maintenance, and cessation of health-relevant behaviors. In current research, we try to utilize methods from affective neuroscience for assessing affective and intuitive processes relevant to personal feelings of risk. These efforts are motivated by the broader goal of developing theoretical frameworks that can be applied across a range of behavioral domains.
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12

Hanoch, Yaniv, Jonathan J. Rolison, and Alexandra M. Freund. "Does Medical Risk Perception and Risk Taking Change with Age?" Risk Analysis 38, no. 5 (September 23, 2016): 917–28. http://dx.doi.org/10.1111/risa.12692.

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13

Ramos Ribeiro, Rodrigo Rudge, and Celeste Oliveira Alves Coelho. "The social perception of natural hazards risk: Portugal and Tuvalu." Investigaciones Geográficas, no. 57 (June 15, 2012): 195. http://dx.doi.org/10.14198/ingeo2012.57.09.

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The effects of climate change and sea-level change should cause serious problems for the inhabitants of some small islands such as Tuvalu in the future. As a result of a combination of natural processes and anthropogenic action, the sea-level change creates different impacts. This research investigates the perception of natural risk and climate change in Portugal and Tuvalu. The perception of the some natural risk, like sea-level rise, can be different of each place. The perception of climate changes in Tuvalu is little known for academic community from University of Aveiro, and they believe that the impacts of sea level rise for Portugal and Tuvalu are not the same. The geographic distance makes an influence in perception of risks; residents far away from this phenomenon present a low level of attention of this phenomenon.
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14

Patel, Anjali, Yathorshan Shanthakumaran, Reshma Rasheed, and Imaduldin Nazir. "Metabolic Effects of Antidepressants; Is It Time to Change the Conversation?" BJPsych Open 8, S1 (June 2022): S66. http://dx.doi.org/10.1192/bjo.2022.231.

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AimsThe incidence of depression has risen both nationally and internationally. The mainstay of management remains referral to IAPT and treatment with SSRI and SNRIs and the rates of prescribing are rising exponentially. During the COVID-19 pandemic, more people faced mental health challenges. In the last ten years, the incidence of SSRI prescribing rose from 6.8% to 100%. A known side effect of antidepressant medication is weight gain, dyslipidemia, increasing risk of impaired fasting glycaemia and diabetes. Our study was conducted to assess the actual risk incurred in our population from the point of starting therapy till date.MethodsPatients were identified from the GP clinical system (SystmOne) to identify those with a current prescription of antidepressants and antipsychotics. A retrospective analysis of 591 patients' case records was undertaken. Body weight, BMI, fasting glucose, HbA1c, fasting lipids and Q risk were analysed at the time of prescription initiation, post treatment and any rise in cardiovascular risk over a period of years. The data were analysed to see the trajectory of deterioration in metabolic risk. All patients were assessed to ensure they had been signposted and referred to weight management services.ResultsThe data show a positive correlation between the onset of antidepressant and antipsychotic prescribing, worsening of BMI, increase of cardiovascular and metabolic risk. The data show an exponential rise in BMI and metabolic risk (cardiovascular Q risk, dyslipidemia, imparied fasting glycaemia, diabetes and ischaemic heart disease) for patients taking SSRI and SNRI within 12 months. This effect continues for the length of the prescribing interval. We also found that with the rise of BMI dose, escalation was common due to reduced effectiveness. The average rise in cardiovascular Q risk average was 14.05% over three years. Patients need careful counselling at the outset and need regular reassessment of metabolic risks at each medication review. Informed consent must be obtained - risks of SSRI, SNRI and antipsychotic risk should be stated.ConclusionA known iatrogenic risk of antidepressant medication is weight gain, dyslipidemia, increasing risk of impaired fasting glycaemia and diabetes. Careful counselling and metabolic risk assessment is required when initiating these medications. Throughout the length of prescribing patients need re-assessment of their cardiovascular and diabetes risk with timely referral to weight management services to counterbalance metabolic risks.
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15

Zhan, Zhi Qiang, and Dan Wang. "A Change Scheduling Algorithm Based on Risk Management." Applied Mechanics and Materials 20-23 (January 2010): 116–22. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.116.

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For an IT service provider, the change management, especially change scheduling plays a pivotal role in the maximization of business profits. Traditional scheduling methods usually concern fixed losses exclusively but overlook risks which may cause more financial costs. In this paper, an optimal design methodology is proposed using risk management concepts, whereby numbers of changes can be scheduled to minimize the sum of fixed losses and risk losses. A numerical example is discussed and the results show that optimizing the scheduling of changes can result in significant savings and risk reduction to an IT support organization.
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16

Rossi, Joseph S. "Cancer Risk and Behavior Change." Science 254, no. 5031 (October 25, 1991): 501. http://dx.doi.org/10.1126/science.254.5031.501.c.

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17

Naviza, April, Tavish Sehgal, Marianne Cherrington, and Farhad Mehdipour. "Assessing organisational climate change risk." Rere Āwhio - The Journal of Applied Research and Practice, no. 1 (2021): 75–85. http://dx.doi.org/10.34074/rere.00107.

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Strategy and risk are two sides of the same coin. Hindsight has proven that risk from a global pandemic was underestimated; Coronavirus forced organisations to re-evaluate their strategy. Furthermore, sophisticated assessments of risk are not only the trend, but they are also prudent and opportune. For organisations, the growing move to assess climate change risk is important from a mitigation perspective, but vitally, as an opportunity gauge as well. This paper will be a summary review of risk from an organisational climate change assessment perspective using traditional risk matrix traffic lights and risk dashboards, to more finetuned technologies. This paper will also examine changing, nascent trends in climate change risk assessment as well as opportunities that can be manifested by adapting now and responding with a longerterm view of strategy within a global economy. Currently many organisations are sentient to the rewards afforded to practitioners of sustainability. They are investigating and revising their risk management processes and risk appetite to form a culture more aligned to the imperatives that climate change action will require, given diverse stakeholder demands and expectations. This paper looks at leading organisations that are becoming more receptive and agile in a future that adapts alongside climate change. The conclusion recommends a strategy for climate change risk assessment and anticipates the world-leading disclosure requirements under The Financial Sector (Climate-related Disclosure and Other Matters) Amendment Bill.
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18

Litterman, Robert. "Pricing Climate Change Risk Appropriately." Financial Analysts Journal 67, no. 5 (September 2011): 4–10. http://dx.doi.org/10.2469/faj.v67.n5.6.

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19

Grote, Gudela, and Cuno Künzler. "Change Management as Risk Factor?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 27 (July 2000): 337–40. http://dx.doi.org/10.1177/154193120004402715.

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20

Cohen, Thomas H., Christopher T. Lowenkamp, and Scott W. VanBenschoten. "Does Change in Risk Matter?" Criminology & Public Policy 15, no. 2 (January 22, 2016): 263–96. http://dx.doi.org/10.1111/1745-9133.12190.

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21

Latessa, Edward J. "Does Change in Risk Matter?" Criminology & Public Policy 15, no. 2 (February 11, 2016): 297–300. http://dx.doi.org/10.1111/1745-9133.12194.

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22

Thomas, Chris D., Alison Cameron, Rhys E. Green, Michel Bakkenes, Linda J. Beaumont, Yvonne C. Collingham, Barend F. N. Erasmus, et al. "Extinction risk from climate change." Nature 427, no. 6970 (January 2004): 145–48. http://dx.doi.org/10.1038/nature02121.

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23

Harte, John, Annette Ostling, Jessica L. Green, and Ann Kinzig. "Climate change and extinction risk." Nature 430, no. 6995 (July 2004): 34. http://dx.doi.org/10.1038/nature02718.

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24

Kunreuther, Howard, Geoffrey Heal, Myles Allen, Ottmar Edenhofer, Christopher B. Field, and Gary Yohe. "Risk management and climate change." Nature Climate Change 3, no. 5 (March 24, 2013): 447–50. http://dx.doi.org/10.1038/nclimate1740.

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25

Pidgeon, Nick, and Catherine Butler. "Risk analysis and climate change." Environmental Politics 18, no. 5 (September 2009): 670–88. http://dx.doi.org/10.1080/09644010903156976.

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26

Marteau, T. M. "Genetic risk and behavioural change." BMJ 322, no. 7293 (April 28, 2001): 1056–59. http://dx.doi.org/10.1136/bmj.322.7293.1056.

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27

Rossi, J. "Cancer risk and behavior change." Science 254, no. 5031 (October 25, 1991): 501. http://dx.doi.org/10.1126/science.1755875.

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28

Capasso, Giusy, Gianfranco Gianfrate, and Marco Spinelli. "Climate change and credit risk." Journal of Cleaner Production 266 (September 2020): 121634. http://dx.doi.org/10.1016/j.jclepro.2020.121634.

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29

ROSSI, J. S. "Cancer Risk and Behavior Change." Science 254, no. 5031 (October 25, 1991): 501. http://dx.doi.org/10.1126/science.254.5031.501-b.

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30

Zollinger-Read, Paul. "Implementing change: the greatest risk." British Journal of Healthcare Management 18, no. 5 (May 2012): 231. http://dx.doi.org/10.12968/bjhc.2012.18.5.231.

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31

Grove, Hugh, Maclyn Clouse, and Tracy Xu. "Climate change risk: Challenge for corporate governance." Journal of Governance and Regulation 10, no. 2, special issue (2021): 258–68. http://dx.doi.org/10.22495/jgrv10i2siart7.

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The major research question of this paper is to analyze climate change risk as a challenge to corporate governance. Climate action failure was the environmental risk most frequently listed in the top ten country risks. It also becomes a major reason that many companies are taking their own initiatives on climate change action which poses an imminent challenge for corporate governance as boards of directors track and assess such initiatives by their own companies. Boards can play a key role in guiding their organizations into the next new normal in the wake of global pandemic, economic disruptions, and ongoing climate change problems. This paper identifies and studies the corporate governance risks and opportunities related to global climate change risk and provides recommendations to boards of directors. The major sections of this paper are global climate change risks, corporate climate change pledges, climate-related financial disclosures, major topics in the Global Climate Change report, whether companies are ready to manage major climate change risks and opportunities, climate-related investment benchmarks, and conclusions. Future research could investigate this climate change risk challenge with case studies or empirical studies.
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32

Budiyono, Y., J. C. J. H. Aerts, D. Tollenaar, and P. Ward. "River flood risk in Jakarta under scenarios of future change." Natural Hazards and Earth System Sciences Discussions 3, no. 7 (July 30, 2015): 4435–78. http://dx.doi.org/10.5194/nhessd-3-4435-2015.

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Abstract. Given the increasing impacts of flooding in Jakarta, methods for assessing current and future flood risk are required. In this paper, we use the Damagescanner-Jakarta risk model to project changes in future river flood risk under scenarios of climate change, land subsidence, and land use change. We estimate current flood risk at USD 143 million p.a. Combining all future scenarios, we simulate a median increase in risk of +263 % by 2030. The single driver with the largest contribution to that increase is land subsidence (+173 %). We simulated the impacts of climate change by combining two scenario of sea level rise with simulations of changes in 1 day extreme precipitation totals from 5 Global Climate Models (GCMs) forced by 4 Representative Concentration Pathways (RCPs). The results are highly uncertain; the median change in risk due to climate change alone by 2030 is a decrease by −4 %, but we simulate an increase in risk under 21 of the 40 GCM-RCP-sea level rise combinations. Hence, we developed probabilistic risk scenarios to account for this uncertainty. Finally, we discuss the relevance of the results for flood risk management in Jakarta.
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33

Monasterolo, Irene. "Climate Change and the Financial System." Annual Review of Resource Economics 12, no. 1 (October 6, 2020): 299–320. http://dx.doi.org/10.1146/annurev-resource-110119-031134.

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The financial system could help achieve the global climate targets by aligning investments to sustainability. However, investors are largely exposed to carbon-intensive assets that could become stranded, thus delaying the low-carbon transition and bringing new sources of risk for financial stability, i.e., climate-related financial risks. Here, we discuss climate-related financial risks, the challenges they pose to traditional economic and financial risk assessment, and the implications for the implementation and feasibility of climate policies. We then present science-based approaches that introduce forward-looking climate risks and their deep uncertainty in financial risk management (e.g., via the climate value at risk, climate spread, climate stress-test). Finally, we present results of applications aimed at pricing climate risks in investors’ portfolios and calculating the largest losses that could lead to systemic risk, in collaboration with leading financial institutions.
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34

Dangol, Ramesh, and Anthony Kos. "Knightian uncertainty and risk." Journal of Strategy and Management 7, no. 4 (November 11, 2014): 337–53. http://dx.doi.org/10.1108/jsma-02-2014-0010.

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Purpose – The purpose of this paper is to propose a new way to distinguish a firm’s dynamic capabilities from operational capabilities. Design/methodology/approach – Conceptual paper/literature review. Findings – Current literature on dynamic capabilities posits that dynamic capabilities are those firm capabilities that can induce change in other capabilities, while operational capabilities are static. Distinguishing between these capabilities in this manner is not helpful because changes occur continuously in all capabilities to at least some extent. In addition, empirical studies show that even task-level operational capabilities can change on their own and can induce change in other capabilities. In contrast to focussing on the presence or lack of change to determine if a capability is dynamic or operational, this paper distinguishes between them by determining a priori the expected nature of the outcome. By focussing on the outcomes of change rather than the changes themselves, this paper proposes that capabilities should be considered operational if they produce outcomes that can be predicted using probability distribution while those capabilities that produce outcomes that cannot be predicted using probability distribution should be considered dynamic. Research limitations/implications – Future research on dynamic capabilities should not only investigate whether or not change is occurring, but the outcome of change to understand whether a change is precipitated by dynamic or operational capabilities. Originality/value – Existing dynamic capabilities literature is unclear about how to distinguish between dynamic capabilities from operational capabilities. Previous research attempts to distinguish these capabilities by arguing dynamic capabilities are those firm capabilities that can induce change in other capabilities, while operational capabilities are static and do not induce change. This is not particularly helpful. A clear distinction between dynamic and operational capabilities could facilitate further advancement of the dynamic capability literature; this study makes a rudimentary effort to distinguish between them.
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35

Trut, Damir, and Jasminka Kovačević. "Climate change, disaster risk reduction and resilience." Environmental engineering 9, no. 1-2 (December 20, 2022): 35–42. http://dx.doi.org/10.37023/ee.9.1-2.5.

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Climate change increases the risks of instability in all its forms, and significantly affects the frequency and intensity of natural threats. In the last two decades, 90 percent of the world's major disasters were caused by events such as heat waves, floods, and weather-related droughts. The 2019 Disaster Risk Assessment for the Republic of Croatia for 10 out of 15 simple risks determined that climate change affected their occurrence. Climate change also affects complex risks, especially in urban areas. Therefore, when assessing the impact of climate change on the environment, it is necessary to consider the impact they have on disaster risks. Disaster risk reduction and climate change adaptation have a common area of interest, partly overlapping
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36

Eltaief, Ameni, Aicha Ben Makhlouf, Sabrine Ben Amor, Sébastien Remy, Borhen Louhichi, and Benoit Eynard. "Engineering Change Risk Assessment: Quantitative and qualitative change characterization." Computers in Industry 140 (September 2022): 103656. http://dx.doi.org/10.1016/j.compind.2022.103656.

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37

Burton, Wayne N., Chin-Yu Chen, Daniel J. Conti, Alyssa B. Schultz, and Dee W. Edington. "The Association Between Health Risk Change and Presenteeism Change." Journal of Occupational and Environmental Medicine 48, no. 3 (March 2006): 252–63. http://dx.doi.org/10.1097/01.jom.0000201563.18108.af.

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38

Grossmeier, Jessica, David J. Mangen, Paul E. Terry, and Laura Haglund-Howieson. "Health Risk Change as a Predictor of Productivity Change." Journal of Occupational and Environmental Medicine 57, no. 4 (April 2015): 347–54. http://dx.doi.org/10.1097/jom.0000000000000408.

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39

Kunreuther, Howard. "Risk Management Solutions for Climate Change–Induced Disasters." Risk Analysis 40, S1 (November 2020): 2263–71. http://dx.doi.org/10.1111/risa.13616.

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40

Taylor, Andrea, Wändi Bruine de Bruin, and Suraje Dessai. "Climate Change Beliefs and Perceptions of Weather-Related Changes in the United Kingdom." Risk Analysis 34, no. 11 (June 11, 2014): 1995–2004. http://dx.doi.org/10.1111/risa.12234.

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41

Graessler, Iris, Christian Oleff, and Philipp Scholle. "Method for Systematic Assessment of Requirement Change Risk in Industrial Practice." Applied Sciences 10, no. 23 (December 4, 2020): 8697. http://dx.doi.org/10.3390/app10238697.

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Requirement changes and cascading effects of change propagation are major sources of inefficiencies in product development and increase the risk of project failure. Risk management regarding these requirement changes yields the potential to handle such changes efficiently. Currently unlocked, a systematic approach is required for risk management to assess the risk of a requirement change with appropriate effort in industrial application. Within the paper at hand, a novel method for systematic assessment of requirement change risk is presented. It is developed in a multiple case study approach with three product development projects from different industrial branches. The change risk is assessed by combining change likelihood and change impact. Propagation effects are considered by analyzing requirement interrelations. To limit application effort, a tailorable approach towards assessment of change causes based on generalized influence factors and a pre-defined rule set for semi-automatized assessment of requirements interrelations is used. A software prototype is developed and implemented to enable evaluation and transfer to industrial application. The approach is evaluated using a combination of case study projects, stakeholder workshops, questionnaires and semi-structured interviews. Applying the method, the risks of requirement changes are assessed systematically, and subsequent risk management is enabled. The contribution at hand opens up the research space of risk management in handling requirement changes which is currently almost unexploited. At the same time, it enables more efficient product development.
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42

Kiley, Michael T. "Growth at Risk From Climate Change." Finance and Economics Discussion Series 2021, no. 054 (August 9, 2021): 1–19. http://dx.doi.org/10.17016/feds.2021.054.

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How will climate change affect risks to economic activity? Research on climate impacts has tended to focus on effects on the average level of economic growth. I examine whether climate change may make severe contractions in economic activity more likely using quantile regressions linking growth to temperature. The effects of temperature on downside risks to economic growth are large and robust across specifications. These results suggest the growth at risk from climate change is large—climate change may make economic contractions more likely and severe and thereby significantly impact economic and financial stability and welfare.
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43

VanGorden, Kelly M., Timothy R. McConnell, William Santamore, Carol Homko, and Andrea Fradkin. "Risk Factor Change Influences On Risk Reduction Via Telemedicine." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S234. http://dx.doi.org/10.1249/01.mss.0000273889.69653.1c.

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44

Ert, Eyal, and Ernan Haruvy. "Revisiting risk aversion: Can risk preferences change with experience?" Economics Letters 151 (February 2017): 91–95. http://dx.doi.org/10.1016/j.econlet.2016.12.008.

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45

Budiyono, Yus, Jeroen C. J. H. Aerts, Daniel Tollenaar, and Philip J. Ward. "River flood risk in Jakarta under scenarios of future change." Natural Hazards and Earth System Sciences 16, no. 3 (March 17, 2016): 757–74. http://dx.doi.org/10.5194/nhess-16-757-2016.

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Abstract. Given the increasing impacts of flooding in Jakarta, methods for assessing current and future flood risk are required. In this paper, we use the Damagescanner-Jakarta risk model to project changes in future river flood risk under scenarios of climate change, land subsidence, and land use change. Damagescanner-Jakarta is a simple flood risk model that estimates flood risk in terms of annual expected damage, based on input maps of flood hazard, exposure, and vulnerability. We estimate baseline flood risk at USD 186 million p.a. Combining all future scenarios, we simulate a median increase in risk of +180 % by 2030. The single driver with the largest contribution to that increase is land subsidence (+126 %). We simulated the impacts of climate change by combining two scenarios of sea level rise with simulations of changes in 1-day extreme precipitation totals from five global climate models (GCMs) forced by the four Representative Concentration Pathways (RCPs). The results are highly uncertain; the median change in risk due to climate change alone by 2030 is a decrease by −46 %, but we simulate an increase in risk under 12 of the 40 GCM–RCP–sea level rise combinations. Hence, we developed probabilistic risk scenarios to account for this uncertainty. If land use change by 2030 takes places according to the official Jakarta Spatial Plan 2030, risk could be reduced by 12 %. However, if land use change in the future continues at the same rate as the last 30 years, large increases in flood risk will take place. Finally, we discuss the relevance of the results for flood risk management in Jakarta.
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46

Maitland, Scott, Paula Brauer, David Mutch, Dawna Royall, Doug Klein, Angelo Tremblay, Caroline Rhéaume, and Khursheed Jeejeebhoy. "Does Change Predict Change in the CHANGE Intervention Study?" Innovation in Aging 4, Supplement_1 (December 1, 2020): 374. http://dx.doi.org/10.1093/geroni/igaa057.1204.

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Abstract Does change in one lifestyle factor (e.g., exercise/fitness) help explain change in another factor or process (i.e., dietary behavior or cardiovascular risk)? The current modeling was a secondary analysis of a primary care feasibility study of individualized lifestyle (diet and exercise) treatment of metabolic syndrome (n=293; mean age = 59yrs) that achieved 19% reversal over one year. Diet quality was assessed by the Healthy Eating Index (HEI) (2005 Canada); while fitness was assessed by several measures (VO2max, flexibility, curl-ups, push-ups). Three occasions (i.e., baseline, 3-, and 12-month) were examined using latent change score and latent growth curve models (in AMOS) to assess whether changes in one domain predicted changes in the remaining domains: (1) diet (measured by HEI or latent construct); (2) fitness (measured by VO2max percentiles or latent construct); and, (3) 10-year risk of cardiovascular disease (by Procam Risk score). Results showed significant improvement in all three domains separately during the intervention, with greater change between baseline and 3-month assessment and continued change between 3- and 12-months. Initial status variables on observed constructs were moderately positively correlated and change in dietary behavior was significantly related to change in fitness levels, but neither were significantly related to change in the 10-year risk of cardiovascular disease. In addition, the associations between change in diet and changes in fitness were inconsistent baseline to 3 months, and 3-12 months. These results offered new insight on relationships among interventions in a behavioural counselling program which can inform future programming.
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Sindall, Rebecca, Thomas Mecrow, Ana Catarina Queiroga, Christopher Boyer, William Koon, and Amy E. Peden. "Drowning risk and climate change: a state-of-the-art review." Injury Prevention 28, no. 2 (February 23, 2022): 185–91. http://dx.doi.org/10.1136/injuryprev-2021-044486.

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Drowning and climate change are both significant global health threats, yet little research links climate change to drowning risk. Research into the epidemiology, risk factors and preventive strategies for unintentional drowning in high-income and in low-income and middle-income countries has expanded understanding, but understanding of disaster and extreme weather-related drowning needs research focus. As nation states and researchers call for action on climate change, its impact on drowning has been largely ignored. This state-of-the-art review considers existing literature on climate change as a contributor to changes in drowning risks globally. Using selected climate change-related risks identified by the World Meteorological Organization and key risks to the Sustainable Development Goals as a framework, we consider the drowning risks associated with heat waves, hydrometeorological hazards, drought and water scarcity, damaged infrastructure, marine ecosystem collapse, displacement, and rising poverty and inequality. Although the degree of atmospheric warming remains uncertain, the impact of climate change on drowning risk is already taking place and can no longer be ignored. Greater evidence characterising the links between drowning and climate change across both high-income and low-income and middle-income contexts is required, and the implementation and evaluation of drowning interventions must reflect climate change risks at a local level, accounting for both geographical variation and the consequences of inequality. Furthermore, collaboration between the injury prevention, disaster risk reduction and climate change mitigation sectors is crucial to both prevent climate change from stalling progress on preventing drowning and further advocate for climate change mitigation as a drowning risk reduction mechanism.
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48

Sawyer, Anne-Maree, David Green, Anthony Moran, and Judith Brett. "Should the nurse change the light globe?" Journal of Sociology 45, no. 4 (November 24, 2009): 361–81. http://dx.doi.org/10.1177/1440783309346478.

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Over the last two decades New Public Management, de-institutionalization and the growth of community care have radically altered the landscape of human service delivery in Australia. As a consequence of these changes, human service agencies have been compelled to develop mechanisms for regulating and managing the risks involved in frontline community care — and the management of risk is now pivotal to the practices of professional workers in this field. British research suggests that the emphasis on risk gives rise to greater monitoring and administrative supervision of workers and a focus on managerial rather than therapeutic skills. This article presents some early findings from an Australian study that finds a very different picture. Based on interviews with 24 social workers and nurses employed in community care, we found that these workers expressed a strong sense of agency when interpreting and negotiating the risk management policies of their respective organizations, and were focused primarily on the needs of their clients rather than bureaucratic procedures.
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49

Titus, James G., and Vijay Narayanan. "The risk of sea level rise." Climatic Change 33, no. 2 (June 1996): 151–212. http://dx.doi.org/10.1007/bf00140246.

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50

Eisemann, Eve, Lauren Dunkin, Michael Hartman, and Jennifer Wozencraft. "POST-HURRICANE COASTAL MAPPING AND CHANGE ANALYSIS: NATIONAL COASTAL MAPPING PROGRAM." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 84. http://dx.doi.org/10.9753/icce.v36.risk.84.

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Hurricane and other extreme storm impacts pose one of the greatest threats to coastal environments, populations, and infrastructure. The U.S. Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP), executed by the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), collects and processes high resolution aerial imagery and lidar data that provide regional datasets to support assessments of coastal change. The NCMP surveying methods and data products are invaluable tools for coastal management and have the potential to produce rapid-response data following extreme storm impacts. Emergency post-storm deployment of this system was used following Hurricane Matthew’s impact in October 2016 where the NCMP surveyed from Key Biscayne, FL to the VA/MD border between October 27th and December 2nd, collecting topographic and bathymetric lidar along the coast in a 1.5 km swath. Approximately one year later, Hurricane Irma impacted the Florida east and west coast in September 2017. The NCMP surveyed the entire Florida east coast, including the Keys, in addition to Collier County on the West Coast of Florida from September 22 to October 25.
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