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Mousavian</title> <meta name="description" content="Search results for: S. Mousavian"> <meta name="keywords" content="S. Mousavian"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="S. 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Mousavian"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 10</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: S. Mousavian</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">10</span> Modification of Rk Equation of State for Liquid and Vapor of Ammonia by Genetic Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian">S. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Mousavian"> F. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Nikkhah%20Rashidabad"> V. Nikkhah Rashidabad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cubic equations of state like Redlich–Kwong (RK) EOS have been proved to be very reliable tools in the prediction of phase behavior. Despite their good performance in compositional calculations, they usually suffer from weaknesses in the predictions of saturated liquid density. In this research, RK equation was modified. The result of this study shows that modified equation has good agreement with experimental data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=equation%20of%20state" title="equation of state">equation of state</a>, <a href="https://publications.waset.org/abstracts/search?q=modification" title=" modification"> modification</a>, <a href="https://publications.waset.org/abstracts/search?q=ammonia" title=" ammonia"> ammonia</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a> </p> <a href="https://publications.waset.org/abstracts/2790/modification-of-rk-equation-of-state-for-liquid-and-vapor-of-ammonia-by-genetic-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2790.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">382</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9</span> Modeling and Prediction of Zinc Extraction Efficiency from Concentrate by Operating Condition and Using Artificial Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian">S. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Ashouri"> D. Ashouri</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Mousavian"> F. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Nikkhah%20Rashidabad"> V. Nikkhah Rashidabad</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Ghazinia"> N. Ghazinia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> PH, temperature, and time of extraction of each stage, agitation speed, and delay time between stages effect on efficiency of zinc extraction from concentrate. In this research, efficiency of zinc extraction was predicted as a function of mentioned variable by artificial neural networks (ANN). ANN with different layer was employed and the result show that the networks with 8 neurons in hidden layer has good agreement with experimental data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=zinc%20extraction" title="zinc extraction">zinc extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency" title=" efficiency"> efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=operating%20condition" title=" operating condition"> operating condition</a> </p> <a href="https://publications.waset.org/abstracts/2475/modeling-and-prediction-of-zinc-extraction-efficiency-from-concentrate-by-operating-condition-and-using-artificial-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2475.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">545</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8</span> Changing the Traditional Role of CFOs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyedmohammad%20Mousavian">Seyedmohammad Mousavian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Technological advancements are becoming unprecedentedly dominant everywhere. This dominance requires drastic chTechnological advancements are becoming unprecedentedly dominant everywhere. This dominance requires drastic changes in traditional thinking, procedures, and responsibilities. Chief Financial Officers (CFOs) have long played a key role in every organization around the globe and must adapt themselves to the disruptive technology which brings positive and negative points. This paper will discuss the shift of the traditional role of CFOs from just reporting toward more innovative roles like “Storytelling”, business partnering, and strategic planning. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accounting%20information%20system" title="accounting information system">accounting information system</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=data" title=" data"> data</a>, <a href="https://publications.waset.org/abstracts/search?q=CFO" title=" CFO"> CFO</a>, <a href="https://publications.waset.org/abstracts/search?q=finance" title=" finance"> finance</a> </p> <a href="https://publications.waset.org/abstracts/144456/changing-the-traditional-role-of-cfos" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144456.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Study of a Crude Oil Desalting Plant of the National Iranian South Oil Company in Gachsaran by Using Artificial Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Kiani">H. Kiani</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Moradi"> S. Moradi</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Soltani%20Soulgani"> B. Soltani Soulgani</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian"> S. Mousavian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Desalting/dehydration plants (DDP) are often installed in crude oil production units in order to remove water-soluble salts from an oil stream. In order to optimize this process, desalting unit should be modeled. In this research, artificial neural network is used to model efficiency of desalting unit as a function of input parameter. The result of this research shows that the mentioned model has good agreement with experimental data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=desalting%20unit" title="desalting unit">desalting unit</a>, <a href="https://publications.waset.org/abstracts/search?q=crude%20oil" title=" crude oil"> crude oil</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=recovery" title=" recovery"> recovery</a>, <a href="https://publications.waset.org/abstracts/search?q=separation" title=" separation"> separation</a> </p> <a href="https://publications.waset.org/abstracts/3441/study-of-a-crude-oil-desalting-plant-of-the-national-iranian-south-oil-company-in-gachsaran-by-using-artificial-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3441.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">450</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Investigation Bubble Growth and Nucleation Rates during the Pool Boiling Heat Transfer of Distilled Water Using Population Balance Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Nikkhah%20Rashidabad">V. Nikkhah Rashidabad</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Manteghian"> M. Manteghian</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Masoumi"> M. Masoumi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian"> S. Mousavian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this research, the changes in bubbles diameter and number that may occur due to the change in heat flux of pure water during pool boiling process. For this purpose, test equipment was designed and developed to collect test data. The bubbles were graded using Caliper Screen software. To calculate the growth and nucleation rates of bubbles under different fluxes, population balance model was employed. The results show that the increase in heat flux from q=20 kw/m2 to q=102 kw/m2 raised the growth and nucleation rates of bubbles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heat%20flux" title="heat flux">heat flux</a>, <a href="https://publications.waset.org/abstracts/search?q=bubble%20growth" title=" bubble growth"> bubble growth</a>, <a href="https://publications.waset.org/abstracts/search?q=bubble%20nucleation" title=" bubble nucleation"> bubble nucleation</a>, <a href="https://publications.waset.org/abstracts/search?q=population%20balance%20model" title=" population balance model"> population balance model</a> </p> <a href="https://publications.waset.org/abstracts/2791/investigation-bubble-growth-and-nucleation-rates-during-the-pool-boiling-heat-transfer-of-distilled-water-using-population-balance-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2791.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">476</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Effect of Hydrocolloid Coatings and Bene Kernel Oil Acrylamide Formation during Potato Deep Frying</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Razieh%20Niazmand">Razieh Niazmand</a>, <a href="https://publications.waset.org/abstracts/search?q=Dina%20Sadat%20Mousavian"> Dina Sadat Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=Parvin%20Sharayei"> Parvin Sharayei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigated the effect of carboxymethyl cellulose (CMC), tragacanth, and saalab hydrocolloids in two concentrations (0.3%, 0.7%) and different frying media, refined canola oil (RCO), RCO + 1% bene kernel oil (BKO), and RCO + 1 mg/l unsaponifiable matter (USM) of BKO on acrylamide formation in fried potato slices. The hydrocolloid coatings significantly reduced acrylamide formation in potatoes fried in all oils. Increasing the hydrocolloid concentration from 0.3% to 0.7% produced no effective inhibition of acrylamide. The 0.7 % CMC solution was identified as the most promising inhibitor of acrylamide formation in RCO oil, with a 62.9% reduction in acrylamide content. The addition of BKO or USM to RCO led to a noticeable reduction in the acrylamide level in fried potato slices. The findings suggest that a 0.7% CMC solution and RCO+USM are promising inhibitors of acrylamide formation in fried potato products. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CMC" title="CMC">CMC</a>, <a href="https://publications.waset.org/abstracts/search?q=frying" title=" frying"> frying</a>, <a href="https://publications.waset.org/abstracts/search?q=potato" title=" potato"> potato</a>, <a href="https://publications.waset.org/abstracts/search?q=saalab" title=" saalab"> saalab</a>, <a href="https://publications.waset.org/abstracts/search?q=tracaganth" title=" tracaganth"> tracaganth</a> </p> <a href="https://publications.waset.org/abstracts/6177/effect-of-hydrocolloid-coatings-and-bene-kernel-oil-acrylamide-formation-during-potato-deep-frying" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6177.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">288</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Application of Neural Networks to Predict Changing the Diameters of Bubbles in Pool Boiling Distilled Water</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Nikkhah%20Rashidabad">V. Nikkhah Rashidabad</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Manteghian"> M. Manteghian</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Masoumi"> M. Masoumi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian"> S. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Ashouri"> D. Ashouri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this research, the capability of neural networks in modeling and learning complicated and nonlinear relations has been used to develop a model for the prediction of changes in the diameter of bubbles in pool boiling distilled water. The input parameters used in the development of this network include element temperature, heat flux, and retention time of bubbles. The test data obtained from the experiment of the pool boiling of distilled water, and the measurement of the bubbles form on the cylindrical element. The model was developed based on training algorithm, which is typologically of back-propagation type. Considering the correlation coefficient obtained from this model is 0.9633. This shows that this model can be trusted for the simulation and modeling of the size of bubble and thermal transfer of boiling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bubble%20diameter" title="bubble diameter">bubble diameter</a>, <a href="https://publications.waset.org/abstracts/search?q=heat%20flux" title=" heat flux"> heat flux</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=training%20algorithm" title=" training algorithm"> training algorithm</a> </p> <a href="https://publications.waset.org/abstracts/2793/application-of-neural-networks-to-predict-changing-the-diameters-of-bubbles-in-pool-boiling-distilled-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2793.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">443</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Prediction of Vapor Liquid Equilibrium for Dilute Solutions of Components in Ionic Liquid by Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian">S. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Abedianpour"> A. Abedianpour</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Khanmohammadi"> A. Khanmohammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Hematian"> S. Hematian</a>, <a href="https://publications.waset.org/abstracts/search?q=Gh.%20Eidi%20Veisi"> Gh. Eidi Veisi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ionic liquids are finding a wide range of applications from reaction media to separations and materials processing. In these applications, Vapor–Liquid equilibrium (VLE) is the most important one. VLE for six systems at 353 K and activity coefficients at infinite dilution 〖(γ〗_i^∞) for various solutes (alkanes, alkenes, cycloalkanes, cycloalkenes, aromatics, alcohols, ketones, esters, ethers, and water) in the ionic liquids (1-ethyl-3-methylimidazolium bis (trifluoromethylsulfonyl)imide [EMIM][BTI], 1-hexyl-3-methyl imidazolium bis (trifluoromethylsulfonyl) imide [HMIM][BTI], 1-octyl-3-methylimidazolium bis(trifluoromethylsulfonyl) imide [OMIM][BTI], and 1-butyl-1-methylpyrrolidinium bis (trifluoromethylsulfonyl) imide [BMPYR][BTI]) have been used to train neural networks in the temperature range from (303 to 333) K. Densities of the ionic liquids, Hildebrant constant of substances, and temperature were selected as input of neural networks. The networks with different hidden layers were examined. Networks with seven neurons in one hidden layer have minimum error and good agreement with experimental data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ionic%20liquid" title="ionic liquid">ionic liquid</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=VLE" title=" VLE"> VLE</a>, <a href="https://publications.waset.org/abstracts/search?q=dilute%20solution" title=" dilute solution"> dilute solution</a> </p> <a href="https://publications.waset.org/abstracts/42919/prediction-of-vapor-liquid-equilibrium-for-dilute-solutions-of-components-in-ionic-liquid-by-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42919.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">300</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Modification of Underwood's Equation to Calculate Minimum Reflux Ratio for Column with One Side Stream Upper Than Feed</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Mousavian">S. Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Abedianpour"> A. Abedianpour</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Khanmohammadi"> A. Khanmohammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Hematian"> S. Hematian</a>, <a href="https://publications.waset.org/abstracts/search?q=Gh.%20Eidi%20Veisi"> Gh. Eidi Veisi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Distillation is one of the most important and utilized separation methods in the industrial practice. There are different ways to design of distillation column. One of these ways is short cut method. In short cut method, material balance and equilibrium are employed to calculate number of tray in distillation column. There are different methods that are classified in short cut method. One of these methods is Fenske-Underwood-Gilliland method. In this method, minimum reflux ratio should be calculated by underwood equation. Underwood proposed an equation that is useful for simple distillation column with one feed and one top and bottom product. In this study, underwood method is developed to predict minimum reflux ratio for column with one side stream upper than feed. The result of this model compared with McCabe-Thiele method. The result shows that proposed method able to calculate minimum reflux ratio with very small error. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=minimum%20reflux%20ratio" title="minimum reflux ratio">minimum reflux ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=side%20stream" title=" side stream"> side stream</a>, <a href="https://publications.waset.org/abstracts/search?q=distillation" title=" distillation"> distillation</a>, <a href="https://publications.waset.org/abstracts/search?q=Underwood%E2%80%99s%20method" title=" Underwood’s method"> Underwood’s method</a> </p> <a href="https://publications.waset.org/abstracts/33541/modification-of-underwoods-equation-to-calculate-minimum-reflux-ratio-for-column-with-one-side-stream-upper-than-feed" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33541.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">406</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Awareness and Recognition: A Legitimate-Geographic Model for Analyzing the Determinants of Corporate Perceptions of Climate Change Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyedmohammad%20Mousavian">Seyedmohammad Mousavian</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanlu%20Fan"> Hanlu Fan</a>, <a href="https://publications.waset.org/abstracts/search?q=Quingliang%20Tang"> Quingliang Tang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Climate change is emerging as a severe threat to our society, so businesses are expected to take actions to mitigate carbon emissions. However, the actions to be taken depend on managers’ perceptions of climate change risks. Yet, there is scant research on this issue, and understanding of the determinants of corporate perceptions of climate change is extremely limited. The purpose of this study is to close this gap by examining the relationship between perceptions of climate risk and firm-level and country-level factors. In this study, climate change risk captures physical, regulatory, and other risks, and we use data from European companies that participated in CDP from 2010 to 2017. This study reveals those perceptions of climate change risk are significantly positively associated with the environmental, social, and governance score, firm size, and membership in a carbon-intensive sector. In addition, we find that managers in firms operating in a geographic area that is sensitive to the consequences of global warming are more likely to perceive and formally recognize carbon-related risks in their CDP reports. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carbon%20actions" title="carbon actions">carbon actions</a>, <a href="https://publications.waset.org/abstracts/search?q=CDP" title=" CDP"> CDP</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20change%20risk" title=" climate change risk"> climate change risk</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20perception" title=" risk perception"> risk perception</a> </p> <a href="https://publications.waset.org/abstracts/138512/awareness-and-recognition-a-legitimate-geographic-model-for-analyzing-the-determinants-of-corporate-perceptions-of-climate-change-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138512.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">291</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); 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