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decision-making decision</title> <meta name="description" content="Search results for: decision-making decision"> <meta name="keywords" content="decision-making decision"> <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 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="decision-making decision"> <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> 3994</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: decision-making decision</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3994</span> Personality as a Determinant of Career Decision-Making Difficulties in a Higher Educational Institution in Ghana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gladys%20Maame%20Akua%20Setordzie">Gladys Maame Akua Setordzie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision on one’s future career is said to have both beneficial and detrimental effects on one’s mental health, social and economic standing later in life, making it an important developmental problem for young people. In this light, the study’s overarching goal was to assess how different personality traits serve as a determinant of career decision-making difficulties experienced by university students in Ghana. Specifically, for the purpose of shaping the future of individualized career counselling support, the study investigated whether the “Big Five” personality traits influenced the difficulties students at the University of Ghana encounter while making career decisions. Cross-sectional survey design using a stratified random sampling technique, sampled 494 undergraduate students from the University of Ghana, who completed the Big Five Questionnaire and the Career Decision-making Difficulties Questionnaire. Hierarchical multiple regression analyses indicated that neuroticism, consciousness, and openness, accounted for a significant proportion of the variance in career decision-making difficulties. This study provides empirical evidence to support the idea that neuroticism is not necessarily a negative emotion when it comes to career decisionmaking, as has been suggested in previous studies, but rather it allows students to perform better in career decision-making. These results suggests that personality traits play a significant role in the career decision-making process of students of the University of Ghana. Therefore, a better understanding of how different personal and interpersonal factors impact career indecision in students could help career counsellors develop more focused vocational and career guidance interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=career%20decision-making%20difficulties" title="career decision-making difficulties">career decision-making difficulties</a>, <a href="https://publications.waset.org/abstracts/search?q=dysfunctional%20career%20beliefs" title=" dysfunctional career beliefs"> dysfunctional career beliefs</a>, <a href="https://publications.waset.org/abstracts/search?q=personality%20traits" title=" personality traits"> personality traits</a>, <a href="https://publications.waset.org/abstracts/search?q=young%20people" title=" young people"> young people</a> </p> <a href="https://publications.waset.org/abstracts/157344/personality-as-a-determinant-of-career-decision-making-difficulties-in-a-higher-educational-institution-in-ghana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157344.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">101</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">3993</span> The Role of Artificial Intelligence in Criminal Procedure</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Herke%20Csongor">Herke Csongor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The artificial intelligence (AI) has been used in the United States of America in the decisionmaking process of the criminal justice system for decades. In the field of law, including criminal law, AI can provide serious assistance in decision-making in many places. The paper reviews four main areas where AI still plays a role in the criminal justice system and where it is expected to play an increasingly important role. The first area is the predictive policing: a number of algorithms are used to prevent the commission of crimes (by predicting potential crime locations or perpetrators). This may include the so-called linking hot-spot analysis, crime linking and the predictive coding. The second area is the Big Data analysis: huge amounts of data sets are already opaque to human activity and therefore unprocessable. Law is one of the largest producers of digital documents (because not only decisions, but nowadays the entire document material is available digitally), and this volume can only and exclusively be handled with the help of computer programs, which the development of AI systems can have an increasing impact on. The third area is the criminal statistical data analysis. The collection of statistical data using traditional methods required enormous human resources. The AI is a huge step forward in that it can analyze the database itself, based on the requested aspects, a collection according to any aspect can be available in a few seconds, and the AI itself can analyze the database and indicate if it finds an important connection either from the point of view of crime prevention or crime detection. Finally, the use of AI during decision-making in both investigative and judicial fields is analyzed in detail. While some are skeptical about the future role of AI in decision-making, many believe that the question is not whether AI will participate in decision-making, but only when and to what extent it will transform the current decision-making system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=international%20criminal%20cooperation" title=" international criminal cooperation"> international criminal cooperation</a>, <a href="https://publications.waset.org/abstracts/search?q=planning%20and%20organizing%20of%20the%20investigation" title=" planning and organizing of the investigation"> planning and organizing of the investigation</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a> </p> <a href="https://publications.waset.org/abstracts/186433/the-role-of-artificial-intelligence-in-criminal-procedure" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186433.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">38</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">3992</span> A Straightforward Approach for Determining the Weights of Decision Makers Based on Angle Cosine and Projection Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiang%20Yang">Qiang Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ping-An%20Du"> Ping-An Du</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Group decision making with multiple attribute has attracted intensive concern in the decision analysis area. This paper assumes that the contributions of all the decision makers (DMs) are not equal to the decision process based on different knowledge and experience in group setting. The aim of this paper is to develop a novel approach to determine weights of DMs in the group decision making problems. In this paper, the weights of DMs are determined in the group decision environment via angle cosine and projection method. First of all, the average decision of all individual decisions is defined as the ideal decision. After that, we define the weight of each decision maker (DM) by aggregating the angle cosine and projection between individual decision and ideal decision with associated direction indicator μ. By using the weights of DMs, all individual decisions are aggregated into a collective decision. Further, the preference order of alternatives is ranked in accordance with the overall row value of collective decision. Finally, an example in a chemical company is provided to illustrate the developed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=angel%20cosine" title="angel cosine">angel cosine</a>, <a href="https://publications.waset.org/abstracts/search?q=ideal%20decision" title=" ideal decision"> ideal decision</a>, <a href="https://publications.waset.org/abstracts/search?q=projection%20method" title=" projection method"> projection method</a>, <a href="https://publications.waset.org/abstracts/search?q=weights%20of%20decision%20makers" title=" weights of decision makers"> weights of decision makers</a> </p> <a href="https://publications.waset.org/abstracts/35292/a-straightforward-approach-for-determining-the-weights-of-decision-makers-based-on-angle-cosine-and-projection-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35292.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">378</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">3991</span> Complex Decision Rules in the Form of Decision Trees</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Avinash%20S.%20Jagtap">Avinash S. Jagtap</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharad%20D.%20Gore"> Sharad D. Gore</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajendra%20G.%20Gurao"> Rajendra G. Gurao </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision rules become more and more complex as the number of conditions increase. As a consequence, the complexity of the decision rule also influences the time complexity of computer implementation of such a rule. Consider, for example, a decision that depends on four conditions A, B, C and D. For simplicity, suppose each of these four conditions is binary. Even then the decision rule will consist of 16 lines, where each line will be of the form: If A and B and C and D, then action 1. If A and B and C but not D, then action 2 and so on. While executing this decision rule, each of the four conditions will be checked every time until all the four conditions in a line are satisfied. The minimum number of logical comparisons is 4 whereas the maximum number is 64. This paper proposes to present a complex decision rule in the form of a decision tree. A decision tree divides the cases into branches every time a condition is checked. In the form of a decision tree, every branching eliminates half of the cases that do not satisfy the related conditions. As a result, every branch of the decision tree involves only four logical comparisons and hence is significantly simpler than the corresponding complex decision rule. The conclusion of this paper is that every complex decision rule can be represented as a decision tree and the decision tree is mathematically equivalent but computationally much simpler than the original complex decision rule <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=strategic" title="strategic">strategic</a>, <a href="https://publications.waset.org/abstracts/search?q=tactical" title=" tactical"> tactical</a>, <a href="https://publications.waset.org/abstracts/search?q=operational" title=" operational"> operational</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive" title=" adaptive"> adaptive</a>, <a href="https://publications.waset.org/abstracts/search?q=innovative" title=" innovative"> innovative</a> </p> <a href="https://publications.waset.org/abstracts/77189/complex-decision-rules-in-the-form-of-decision-trees" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77189.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">3990</span> Framework for the Modeling of the Supply Chain Collaborative Planning Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20P%C3%A9rez">D. Pérez</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20M.%20E.%20Alemany"> M. M. E. Alemany</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work a Framework to model the Supply Chain (SC) Collaborative Planning (CP) Process is proposed, and particularly its Decisional view. The main Framework contributions with regards to previous related works are the following, 1) the consideration of not only the Decision view, the most important one due to the Process type, but other additional three views which are the Physical, Organisation and Information ones, closely related and complementing the Decision View, 2) the joint consideration of two interdependence types, the Temporal (among Decision Centres belonging to different Decision Levels) and Spatial (among Decision Centres belonging to the same Decision Level) to support the distributed Decision-Making process in SC where several decision Centres interact among them in a collaborative manner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collaborative%20planning" title="collaborative planning">collaborative planning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20view" title=" decision view"> decision view</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20decision-making" title=" distributed decision-making"> distributed decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=framework" title=" framework"> framework</a> </p> <a href="https://publications.waset.org/abstracts/32456/framework-for-the-modeling-of-the-supply-chain-collaborative-planning-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32456.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">468</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">3989</span> Decision Making under Strict Uncertainty: Case Study in Sewer Network Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhen%20Wu">Zhen Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Lupien%20St-Pierre"> David Lupien St-Pierre</a>, <a href="https://publications.waset.org/abstracts/search?q=Georges%20Abdul-Nour"> Georges Abdul-Nour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In decision making under strict uncertainty, decision makers have to choose a decision without any information about the states of nature. The classic criteria of Laplace, Wald, Savage, Hurwicz and Starr are introduced and compared in a case study of sewer network planning. Furthermore, results from different criteria are discussed and analyzed. Moreover, this paper discusses the idea that decision making under strict uncertainty (DMUSU) can be viewed as a two-player game and thus be solved by a solution concept in game theory: Nash equilibrium. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20criteria" title="decision criteria">decision criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=sewer%20network%20planning" title=" sewer network planning"> sewer network planning</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=strict%20uncertainty" title=" strict uncertainty"> strict uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/64139/decision-making-under-strict-uncertainty-case-study-in-sewer-network-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64139.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">560</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">3988</span> Decision Traps of Military Leaders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmet%20Ali%20Turk">Ahmet Ali Turk</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhterem%20Bayram"> Muhterem Bayram</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, it is intended to determine that what kind of traps military leaders fall into during the decision making and how they make take a measure against them. In the study, the domestic and foreign literature on the military leadership has been reviewed and military decision-making process of the different countries has been introduced and study has been designed by making interviews as a sample with 50 people who had made military leadership. The issues resulting from the literature review that led to wrong decisions of military leaders and the points obtained as a result of interview have been evaluated by comparing. As a result, it has been emerged that the personnel who have made especially military leadership are in tendency of making the wrong decision due to decision traps such as excessive self-confidence, lack of experience, unplanned movement, hasty decision making and prohibitive conditions and also the need for increased situational awareness about this condition has been emerged. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=military%20leadership" title="military leadership">military leadership</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=military%20decision%20making" title=" military decision making"> military decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=military%20decision%20making%20traps" title=" military decision making traps"> military decision making traps</a> </p> <a href="https://publications.waset.org/abstracts/47680/decision-traps-of-military-leaders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47680.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">356</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">3987</span> Youth Intelligent Personal Decision Aid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norfiza%20Ibrahim">Norfiza Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Norshuhada%20Shiratuddin"> Norshuhada Shiratuddin</a>, <a href="https://publications.waset.org/abstracts/search?q=Siti%20Mahfuzah%20Sarif"> Siti Mahfuzah Sarif</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision-making system is used to facilitate people in making the right choice for their important daily activities. For the youth, proper guidance in making important decisions is needed. Their skills in decision-making aid decisions will indirectly affect their future. For that reason, this study focuses on the intelligent aspects in the development of intelligent decision support application. The aid apparently integrates Personality Traits (PT) and Multiple Intelligence (MI) data in development of a computerized personal decision aid for youth named as Youth Personal Decision Aid (Youth PDA). This study is concerned with the aid’s helpfulness based on the hybrid intelligent process. There are four main items involved which are reliability, decision making effort, confidence, as well as decision process awareness. Survey method was applied to the actual user of this system, namely the school and the Institute of Higher Education (IPT)’s students. An establish instrument was used to evaluate the study. The results of the analysis and findings in the assessment indicates a high mean value of the four dimensions in helping Youth PDA to be accepted as a useful tool for the youth in decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title="decision support">decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20intelligent" title=" multiple intelligent"> multiple intelligent</a>, <a href="https://publications.waset.org/abstracts/search?q=personality%20traits" title=" personality traits"> personality traits</a>, <a href="https://publications.waset.org/abstracts/search?q=youth%20personal%20decision%20aid" title=" youth personal decision aid"> youth personal decision aid</a> </p> <a href="https://publications.waset.org/abstracts/18779/youth-intelligent-personal-decision-aid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18779.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">632</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">3986</span> A Ratio-Weighted Decision Tree Algorithm for Imbalance Dataset Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Doyin%20Afolabi">Doyin Afolabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Phillip%20Adewole"> Phillip Adewole</a>, <a href="https://publications.waset.org/abstracts/search?q=Oladipupo%20Sennaike"> Oladipupo Sennaike</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most well-known classifiers, including the decision tree algorithm, can make predictions on balanced datasets efficiently. However, the decision tree algorithm tends to be biased towards imbalanced datasets because of the skewness of the distribution of such datasets. To overcome this problem, this study proposes a weighted decision tree algorithm that aims to remove the bias toward the majority class and prevents the reduction of majority observations in imbalance datasets classification. The proposed weighted decision tree algorithm was tested on three imbalanced datasets- cancer dataset, german credit dataset, and banknote dataset. The specificity, sensitivity, and accuracy metrics were used to evaluate the performance of the proposed decision tree algorithm on the datasets. The evaluation results show that for some of the weights of our proposed decision tree, the specificity, sensitivity, and accuracy metrics gave better results compared to that of the ID3 decision tree and decision tree induced with minority entropy for all three datasets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=imbalance%20dataset" title=" imbalance dataset"> imbalance dataset</a> </p> <a href="https://publications.waset.org/abstracts/157609/a-ratio-weighted-decision-tree-algorithm-for-imbalance-dataset-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157609.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">137</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">3985</span> Adolescents’ Role in Family Buying Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Harleen%20Kaur">Harleen Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Deepika%20Jindal%20Singla"> Deepika Jindal Singla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Buying decision making is a complicated process, in which consumer’s decision is under the impact of others. The buying decision making is directed in a way that they have to act as customers in the society. Media and family are key socialising agents for adolescents’. Moreover, changes in the socio-cultural environment in India necessitate that adolescents’ influence in family’s buying decision-making should be investigated. In comparison to Western society, Indian is quite different, when compared in terms of family composition and structure, behaviour, values and norms which effect adolescents’ buying decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adolescents" title="adolescents">adolescents</a>, <a href="https://publications.waset.org/abstracts/search?q=buying%20behavior" title=" buying behavior"> buying behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20urban%20families" title=" Indian urban families"> Indian urban families</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer%20socialization" title=" consumer socialization"> consumer socialization</a> </p> <a href="https://publications.waset.org/abstracts/69560/adolescents-role-in-family-buying-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69560.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">478</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">3984</span> Strategic Decision Making Practice in Croatia: Which Decision Making Style is More Effective?</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ivana%20Bulog">Ivana Bulog</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Decision making is a vital part of the business world and any other field of human endeavor. Which way a business organization will take, and where that way will lead it, depends on broad range of decisions made by managers in the managerial structure. Strategic decisions are of the greatest importance for organizational success. Although much empirical research has been done trying to describe and explain its nature and effectiveness, knowledge about strategic decision making is still incomplete. This paper explores the nature of strategic decision making in particular setting - in Croatian companies. The main focus of this research is on the style that decision makers on strategic management level are following when making decisions of life importance for their companies. Two main decision making style that explain the way decision maker collects and processes available information and performs all the activities in strategic decision making process were empirical tested: rational and intuitive one. Besides analyzing their existence on strategic management level in Croatian companies, their effectiveness is analyzed as well. Results showed that decision makers at strategic management level are following both styles somewhat equally in order to function effectively, and that intuitive style is more effective when considering decisions outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20style" title="decision making style">decision making style</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20effectiveness" title=" decision making effectiveness"> decision making effectiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20decisions" title=" strategic decisions"> strategic decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=management%20sciences" title=" management sciences"> management sciences</a> </p> <a href="https://publications.waset.org/abstracts/7599/strategic-decision-making-practice-in-croatia-which-decision-making-style-is-more-effective" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7599.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">381</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">3983</span> Carrying Out the Steps of Decision Making Process in Concrete Organization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eva%20%C5%A0t%C4%9Bp%C3%A1nkov%C3%A1">Eva Štěpánková</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The decision-making process is theoretically clearly defined. Generally, it includes the problem identification and analysis, data gathering, goals and criteria setting, alternatives development and optimal alternative choice and its implementation. In practice however, various modifications of the theoretical decision-making process can occur. The managers can consider some of the phases to be too complicated or unfeasible and thus they do not carry them out and conversely some of the steps can be overestimated. The aim of the paper is to reveal and characterize the perception of the individual phases of decision-making process by the managers. The research is concerned with managers in the military environment–commanders. Quantitative survey is focused cross-sectionally in the individual levels of management of the Ministry of Defence of the Czech Republic. On the total number of 135 respondents the analysis focuses on which of the decision-making process phases are problematic or not carried out in practice and which are again perceived to be the easiest. Then it is examined the reasons of the findings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making%20process" title=" decision making process"> decision making process</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20problems" title=" decision problems"> decision problems</a>, <a href="https://publications.waset.org/abstracts/search?q=concrete%20organization" title=" concrete organization"> concrete organization</a> </p> <a href="https://publications.waset.org/abstracts/19379/carrying-out-the-steps-of-decision-making-process-in-concrete-organization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19379.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">473</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">3982</span> Contribution to the Decision-Making Process for Selecting the Suitable Maintenance Policy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Y.%20Mahamoud">Nasser Y. Mahamoud</a>, <a href="https://publications.waset.org/abstracts/search?q=Pierre%20Dehombreux"> Pierre Dehombreux</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20E.%20Robleh"> Hassan E. Robleh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Industrial companies may be confronted with questions about their choice of maintenance policy. This choice must be guided by several numbers of decision criteria or objectives related to their production or service activities but also to their level of development and their investment prospects. A decision-support methodology to choose a maintenance policy (corrective, systematic or conditional preventive, predictive, opportunistic or not) is proposed to facilitate this choice using the main categories of the most important decision criteria. The different steps of this methodology are illustrated using theoretical case: identification of the different maintenance alternatives, determining the structure of the most important categories of the decision criteria, assessing the different maintenance policies on to the criteria by using an ordinal preference relation, and finally ranking the different maintenance policies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maintenance%20policy" title="maintenance policy">maintenance policy</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20criteria" title=" decision criteria"> decision criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making%20process" title=" decision-making process"> decision-making process</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP" title=" AHP"> AHP</a> </p> <a href="https://publications.waset.org/abstracts/72202/contribution-to-the-decision-making-process-for-selecting-the-suitable-maintenance-policy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72202.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">333</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">3981</span> Evaluation of a Personalized Online Decision Aid for Colorectal Cancer Screening: A Randomized Controlled Trial</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Linda%20P.%20M.%20Pluymen">Linda P. M. Pluymen</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariska%20M.%20G.%20Leeflang"> Mariska M. G. Leeflang</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Stegeman"> I. Stegeman</a>, <a href="https://publications.waset.org/abstracts/search?q=Henock%20G.%20Yebyo"> Henock G. Yebyo</a>, <a href="https://publications.waset.org/abstracts/search?q=Anne%20E.%20M.%20Brabers"> Anne E. M. Brabers</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20M.%20Bossuyt"> Patrick M. Bossuyt</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Dekker"> E. Dekker</a>, <a href="https://publications.waset.org/abstracts/search?q=Anke%20J.%20Woudstra"> Anke J. Woudstra</a>, <a href="https://publications.waset.org/abstracts/search?q=Mirjam%20P.%20Fransen"> Mirjam P. Fransen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Weighing the benefits and harms of colorectal cancer screening can be difficult for individuals. An existing online decision aid was expanded with a benefit-harm analysis to help people make an informed decision about participating in colorectal cancer screening. In a randomized controlled trial, we investigated whether those in the intervention group who used the decision aid with benefit-harm analysis were more certain about their decision than those in the control group who used the decision aid without benefit-harm analysis. Participants were 623 (39% of those invited) men and women aged 45 until 75 years old. Analyses were performed in those 386 participants (62%) who reported to have completed the entire decision aid. No statistically significant differences were observed between intervention and control group in decisional conflict score (mean difference 2.4, 95% CI -0.9, 5.6), clarity of values (mean difference 1.0, 95% CI -4.4, 6.6), deliberation score (mean difference 0.5, 95% CI -0.6, 1.7), anxiety score (mean difference 0.0, 95% CI -0.3, 0.3) and risk perception score (mean difference 0.1, -0.1, 0.3). Adding a benefit-harm analysis to an online decision aid did not improve informed decision making about participating in colorectal cancer screening. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=benefit-harm%20analysis" title="benefit-harm analysis">benefit-harm analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20aid" title=" decision aid"> decision aid</a>, <a href="https://publications.waset.org/abstracts/search?q=informed%20decision%20making" title=" informed decision making"> informed decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20decision%20making" title=" personalized decision making"> personalized decision making</a> </p> <a href="https://publications.waset.org/abstracts/144604/evaluation-of-a-personalized-online-decision-aid-for-colorectal-cancer-screening-a-randomized-controlled-trial" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144604.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">170</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">3980</span> The Quotation-Based Algorithm for Distributed Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gennady%20P.%20Ginkul">Gennady P. Ginkul</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20Yu.%20Soloviov"> Sergey Yu. Soloviov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The article proposes to use so-called "quotation-based algorithm" for simulation of decision making process in distributed expert systems and multi-agent systems. The idea was adopted from the techniques for group decision-making. It is based on the assumption that one expert system to perform its logical inference may use rules from another expert system. The application of the algorithm was demonstrated on the example in which the consolidated decision is the decision that requires minimal quotation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=backward%20chaining%20inference" title="backward chaining inference">backward chaining inference</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20expert%20systems" title=" distributed expert systems"> distributed expert systems</a>, <a href="https://publications.waset.org/abstracts/search?q=group%20decision%20making" title=" group decision making"> group decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-agent%20systems" title=" multi-agent systems"> multi-agent systems</a> </p> <a href="https://publications.waset.org/abstracts/61196/the-quotation-based-algorithm-for-distributed-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61196.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">375</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">3979</span> Preliminary Study of Human Reliability of Control in Case of Fire Based on the Decision Processes and Stress Model of Human in a Fire</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seung-Un%20Chae">Seung-Un Chae</a>, <a href="https://publications.waset.org/abstracts/search?q=Heung-Yul%20Kim"> Heung-Yul Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sa-Kil%20Kim"> Sa-Kil Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the findings of preliminary study on human control performance in case of fire. The relationship between human control and human decision is studied in decision processes and stress model of human in a fire. Human behavior aspects involved in the decision process during a fire incident. The decision processes appear that six of individual perceptual processes: recognition, validation, definition, evaluation, commitment, and reassessment. Then, human may be stressed in order to get an optimal decision for their activity. This paper explores problems in human control processes and stresses in a catastrophic situation. Thus, the future approach will be concerned to reduce stresses and ambiguous irrelevant information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20reliability" title="human reliability">human reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20processes" title=" decision processes"> decision processes</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20model" title=" stress model"> stress model</a>, <a href="https://publications.waset.org/abstracts/search?q=fire" title=" fire"> fire</a> </p> <a href="https://publications.waset.org/abstracts/50470/preliminary-study-of-human-reliability-of-control-in-case-of-fire-based-on-the-decision-processes-and-stress-model-of-human-in-a-fire" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50470.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">986</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">3978</span> Employing Operations Research at Universities to Build Management Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdallah%20A.%20Hlayel">Abdallah A. Hlayel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Operations research science (OR) deals with good success in developing and applying scientific methods for problem solving and decision-making. However, by using OR techniques, we can enhance the use of computer decision support systems to achieve optimal management for institutions. OR applies comprehensive analysis including all factors that affect on it and builds mathematical modeling to solve business or organizational problems. In addition, it improves decision-making and uses available resources efficiently. The adoption of OR by universities would definitely contributes to the development and enhancement of the performance of OR techniques. This paper provides an understanding of the structures, approaches and models of OR in problem solving and decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=best%20candidates%27%20method" title="best candidates' method">best candidates' method</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20system" title=" decision support system"> decision support system</a>, <a href="https://publications.waset.org/abstracts/search?q=operations%20research" title=" operations research"> operations research</a> </p> <a href="https://publications.waset.org/abstracts/20107/employing-operations-research-at-universities-to-build-management-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20107.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">445</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">3977</span> On the Bias and Predictability of Asylum Cases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Panagiota%20Katsikouli">Panagiota Katsikouli</a>, <a href="https://publications.waset.org/abstracts/search?q=William%20Hamilton%20Byrne"> William Hamilton Byrne</a>, <a href="https://publications.waset.org/abstracts/search?q=Thomas%20Gammeltoft-Hansen"> Thomas Gammeltoft-Hansen</a>, <a href="https://publications.waset.org/abstracts/search?q=Tijs%20Slaats"> Tijs Slaats</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An individual who demonstrates a well-founded fear of persecution or faces real risk of being subjected to torture is eligible for asylum. In Danish law, the exact legal thresholds reflect those established by international conventions, notably the 1951 Refugee Convention and the 1950 European Convention for Human Rights. These international treaties, however, remain largely silent when it comes to how states should assess asylum claims. As a result, national authorities are typically left to determine an individual’s legal eligibility on a narrow basis consisting of an oral testimony, which may itself be hampered by several factors, including imprecise language interpretation, insecurity or lacking trust towards the authorities among applicants. The leaky ground, on which authorities must assess their subjective perceptions of asylum applicants' credibility, questions whether, in all cases, adjudicators make the correct decision. Moreover, the subjective element in these assessments raises questions on whether individual asylum cases could be afflicted by implicit biases or stereotyping amongst adjudicators. In fact, recent studies have uncovered significant correlations between decision outcomes and the experience and gender of the assigned judge, as well as correlations between asylum outcomes and entirely external events such as weather and political elections. In this study, we analyze a publicly available dataset containing approximately 8,000 summaries of asylum cases, initially rejected, and re-tried by the Refugee Appeals Board (RAB) in Denmark. First, we look for variations in the recognition rates, with regards to a number of applicants’ features: their country of origin/nationality, their identified gender, their identified religion, their ethnicity, whether torture was mentioned in their case and if so, whether it was supported or not, and the year the applicant entered Denmark. In order to extract those features from the text summaries, as well as the final decision of the RAB, we applied natural language processing and regular expressions, adjusting for the Danish language. We observed interesting variations in recognition rates related to the applicants’ country of origin, ethnicity, year of entry and the support or not of torture claims, whenever those were made in the case. The appearance (or not) of significant variations in the recognition rates, does not necessarily imply (or not) bias in the decision-making progress. None of the considered features, with the exception maybe of the torture claims, should be decisive factors for an asylum seeker’s fate. We therefore investigate whether the decision can be predicted on the basis of these features, and consequently, whether biases are likely to exist in the decisionmaking progress. We employed a number of machine learning classifiers, and found that when using the applicant’s country of origin, religion, ethnicity and year of entry with a random forest classifier, or a decision tree, the prediction accuracy is as high as 82% and 85% respectively. tentially predictive properties with regards to the outcome of an asylum case. Our analysis and findings call for further investigation on the predictability of the outcome, on a larger dataset of 17,000 cases, which is undergoing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asylum%20adjudications" title="asylum adjudications">asylum adjudications</a>, <a href="https://publications.waset.org/abstracts/search?q=automated%20decision-making" title=" automated decision-making"> automated decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20mining" title=" text mining"> text mining</a> </p> <a href="https://publications.waset.org/abstracts/156361/on-the-bias-and-predictability-of-asylum-cases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156361.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">95</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">3976</span> Model for Introducing Products to New Customers through Decision Tree Using Algorithm C4.5 (J-48)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Komol%20Phaisarn">Komol Phaisarn</a>, <a href="https://publications.waset.org/abstracts/search?q=Anuphan%20Suttimarn"> Anuphan Suttimarn</a>, <a href="https://publications.waset.org/abstracts/search?q=Vitchanan%20Keawtong"> Vitchanan Keawtong</a>, <a href="https://publications.waset.org/abstracts/search?q=Kittisak%20Thongyoun"> Kittisak Thongyoun</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaiyos%20Jamsawang"> Chaiyos Jamsawang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article is intended to analyze insurance information which contains information on the customer decision when purchasing life insurance pay package. The data were analyzed in order to present new customers with Life Insurance Perfect Pay package to meet new customers’ needs as much as possible. The basic data of insurance pay package were collect to get data mining; thus, reducing the scattering of information. The data were then classified in order to get decision model or decision tree using Algorithm C4.5 (J-48). In the classification, WEKA tools are used to form the model and testing datasets are used to test the decision tree for the accurate decision. The validation of this model in classifying showed that the accurate prediction was 68.43% while 31.25% were errors. The same set of data were then tested with other models, i.e. Naive Bayes and Zero R. The results showed that J-48 method could predict more accurately. So, the researcher applied the decision tree in writing the program used to introduce the product to new customers to persuade customers’ decision making in purchasing the insurance package that meets the new customers’ needs as much as possible. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title="decision tree">decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=customers" title=" customers"> customers</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20insurance%20pay%20package" title=" life insurance pay package"> life insurance pay package</a> </p> <a href="https://publications.waset.org/abstracts/11724/model-for-introducing-products-to-new-customers-through-decision-tree-using-algorithm-c45-j-48" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11724.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">428</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">3975</span> Career Decision-Making Difficulty and Emotional Quotient: Basis for a Career Guidance Intervention for City College of Angeles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rhenan%20D.%20Estacio">Rhenan D. Estacio</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research presents the career decision making difficulty and emotional quotient of one hundred fifty (150) college students of City College of Angeles, Academic Year 2016-2017. Independent sample T-test and Pearson r correlation were done to shifter and non-shifter in terms of their career decision making difficulty and emotional quotient. A significant positive correlation revealed (r=.302) on career decision making difficulty and emotional quotient. Also, a significant negative correlation revealed (r=-.329) on career decision making difficulty and a moderating variable which is age. The finding significantly shows that emotional quotient was associated and adds a significant incremental variance with career decision making difficulty. Moreover, age shows a moderating effect on career decision making difficulty by having a significant decline and increment on variables. Furthermore, categorization of career decision making difficulty and emotional quotient of said participants are described in this study. In addition, career guidance interventions were suggested based on the results of this study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=career" title="career">career</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making" title=" decision-making"> decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=difficulty" title=" difficulty"> difficulty</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional" title=" emotional"> emotional</a>, <a href="https://publications.waset.org/abstracts/search?q=quotient" title=" quotient"> quotient</a> </p> <a href="https://publications.waset.org/abstracts/80983/career-decision-making-difficulty-and-emotional-quotient-basis-for-a-career-guidance-intervention-for-city-college-of-angeles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80983.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">432</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">3974</span> Decision Support System for Optimal Placement of Wind Turbines in Electric Distribution Grid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Ouammi">Ahmed Ouammi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an integrated decision framework to support decision makers in the selection and optimal allocation of wind power plants in the electric grid. The developed approach intends to maximize the benefice related to the project investment during the planning period. The proposed decision model considers the main cost components, meteorological data, environmental impacts, operation and regulation constraints, and territorial information. The decision framework is expressed as a stochastic constrained optimization problem with the aim to identify the suitable locations and related optimal wind turbine technology considering the operational constraints and maximizing the benefice. The developed decision support system is applied to a case study to demonstrate and validate its performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20support%20systems" title="decision support systems">decision support systems</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20power%20grid" title=" electric power grid"> electric power grid</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title=" wind energy "> wind energy </a> </p> <a href="https://publications.waset.org/abstracts/122208/decision-support-system-for-optimal-placement-of-wind-turbines-in-electric-distribution-grid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122208.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">153</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">3973</span> Fuzzy Multi-Criteria Decision-Making Based on Ignatian Discernment Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pathinathan%20Theresanathan">Pathinathan Theresanathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajay%20Minj"> Ajay Minj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ignatian Discernment Process (IDP) is an intense decision-making tool to decide on life-issues. Decisions are influenced by various factors outside of the decision maker and inclination within. This paper develops IDP in the context of Fuzzy Multi-criteria Decision Making (FMCDM) process. Extended VIKOR method is a decision-making method which encompasses even conflict situations and accommodates weightage to various issues. Various aspects of IDP, namely three ways of decision making and tactics of inner desires, are observed, analyzed and articulated within the frame work of fuzzy rules. The decision-making situations are broadly categorized into two types. The issues outside of the decision maker influence the person. The inner feeling also plays vital role in coming to a conclusion. IDP integrates both the categories using Extended VIKOR method. Case studies are carried out and analyzed with FMCDM process. Finally, IDP is verified with an illustrative case study and results are interpreted. A confused person who could not come to a conclusion is able to take decision on a concrete way of life through IDP. The proposed IDP model recommends an integrated and committed approach to value-based decision making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AHP" title="AHP">AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=FMCDM" title=" FMCDM"> FMCDM</a>, <a href="https://publications.waset.org/abstracts/search?q=IDP" title=" IDP"> IDP</a>, <a href="https://publications.waset.org/abstracts/search?q=ignatian%20discernment" title=" ignatian discernment"> ignatian discernment</a>, <a href="https://publications.waset.org/abstracts/search?q=MCDM" title=" MCDM"> MCDM</a>, <a href="https://publications.waset.org/abstracts/search?q=VIKOR" title=" VIKOR"> VIKOR</a> </p> <a href="https://publications.waset.org/abstracts/89096/fuzzy-multi-criteria-decision-making-based-on-ignatian-discernment-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89096.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">260</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">3972</span> A Phenomenological Framework of Unconscious Cognition on Judicial Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mariam%20Shah">Mariam Shah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper will examine the potential influence and role of unconscious cognition on judicial decision making. The theoretical underpinnings of this paper rest on phenomenological theory grounded predominantly in Schutzian phenomenology. Aspects of Husserlian and Gadamerian phenomenology will be included within the phenomenological framework put forward in this paper, in an attempt to provide a more complete and thorough account of how unconscious cognition can influence judicial decision making. This paper has far reaching implications, as the framework provides a foundation for unconscious cognitive factors which can work to influence decision making more generally. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=Gadamer" title=" Gadamer"> Gadamer</a>, <a href="https://publications.waset.org/abstracts/search?q=Gadamerian" title=" Gadamerian"> Gadamerian</a>, <a href="https://publications.waset.org/abstracts/search?q=Husserl" title=" Husserl"> Husserl</a>, <a href="https://publications.waset.org/abstracts/search?q=Husserlian" title=" Husserlian"> Husserlian</a>, <a href="https://publications.waset.org/abstracts/search?q=judicial%20decision%20making" title=" judicial decision making"> judicial decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=phenomenology" title=" phenomenology"> phenomenology</a>, <a href="https://publications.waset.org/abstracts/search?q=Schutz" title=" Schutz"> Schutz</a>, <a href="https://publications.waset.org/abstracts/search?q=Schutzian" title=" Schutzian"> Schutzian</a> </p> <a href="https://publications.waset.org/abstracts/76589/a-phenomenological-framework-of-unconscious-cognition-on-judicial-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76589.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">414</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">3971</span> Decision Support Tool for Green Roofs Selection: A Multicriteria Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Teot%C3%B3nio">I. Teotónio</a>, <a href="https://publications.waset.org/abstracts/search?q=C.O.%20Cruz"> C.O. Cruz</a>, <a href="https://publications.waset.org/abstracts/search?q=C.M.%20Silva"> C.M. Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Manso"> M. Manso</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Diverse stakeholders show different concerns when choosing green roof systems. Also, green roof solutions vary in their cost and performance. Therefore, decision-makers continually face the difficult task of balancing benefits against green roofs costs. Decision analysis methods, as multicriteria analysis, can be used when the decision‑making process includes different perspectives, multiple objectives, and uncertainty. The present study adopts a multicriteria decision model to evaluate the installation of green roofs in buildings, determining the solution with the best trade-off between costs and benefits in agreement with the preferences of the users/investors. This methodology was applied to a real decision problem, assessing the preferences between different green roof systems in an existing building in Lisbon. This approach supports the decision-making process on green roofs and enables robust and informed decisions on urban planning while optimizing buildings retrofitting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title="decision making">decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20roofs" title=" green roofs"> green roofs</a>, <a href="https://publications.waset.org/abstracts/search?q=investors%20preferences" title=" investors preferences"> investors preferences</a>, <a href="https://publications.waset.org/abstracts/search?q=multicriteria%20analysis" title=" multicriteria analysis"> multicriteria analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title=" sustainable development"> sustainable development</a> </p> <a href="https://publications.waset.org/abstracts/115903/decision-support-tool-for-green-roofs-selection-a-multicriteria-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115903.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">184</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">3970</span> Financial Literacy as an Important Skill for Household Financial Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rimac%20Smiljanic%20Ana">Rimac Smiljanic Ana</a>, <a href="https://publications.waset.org/abstracts/search?q=Pepur%20Sandra"> Pepur Sandra</a>, <a href="https://publications.waset.org/abstracts/search?q=Bulog%20Ivana"> Bulog Ivana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Financial decision-making in the household is not simple, and it demands that the decision-maker has proper knowledge and skills. Usually, high uncertainty, risk, and stress surround household financial decision-making since it is extremely important and critical for household wealth accumulation and for the well-being of all household members. Generally, skilful people tend to have higher confidence in certain tasks they perform, and they achieve better results. Therefore, in the household context, the possession of certain skills by the ones who make financial decisions for the household is of particular importance. This paper addresses financial literacy as an important skill for household decision-making. Apart from financial literacy, the paper also considers other factors, such as employment, education, and age, as significant for household financial decision-making. The analysis is based on quantitative individual-level survey data. The data collection was conducted during January and February 2021 in Croatia through an online survey. To reach a wide variety of participants, the snowball sampling method was used. The result revealed interesting and somewhat puzzling results. Our results point to the importance of financial literacy skills for household decision-making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=skill" title="skill">skill</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20literacy" title=" financial literacy"> financial literacy</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making" title=" decision-making"> decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=household%20financijal%20decision%20making" title=" household financijal decision making"> household financijal decision making</a> </p> <a href="https://publications.waset.org/abstracts/166489/financial-literacy-as-an-important-skill-for-household-financial-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166489.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">97</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">3969</span> A Novel PSO Based Decision Tree Classification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Farzan">Ali Farzan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Classification of data objects or patterns is a major part in most of Decision making systems. One of the popular and commonly used classification methods is Decision Tree (DT). It is a hierarchical decision making system by which a binary tree is constructed and starting from root, at each node some of the classes is rejected until reaching the leaf nods. Each leaf node is a representative of one specific class. Finding the splitting criteria in each node for constructing or training the tree is a major problem. Particle Swarm Optimization (PSO) has been adopted as a metaheuristic searching method for finding the best splitting criteria. Result of evaluating the proposed method over benchmark datasets indicates the higher accuracy of the new PSO based decision tree. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title="decision tree">decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=splitting%20criteria" title=" splitting criteria"> splitting criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=metaheuristic" title=" metaheuristic"> metaheuristic</a> </p> <a href="https://publications.waset.org/abstracts/32425/a-novel-pso-based-decision-tree-classification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32425.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">3968</span> Conceptualizing Thoughtful Intelligence for Sustainable Decision Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Musarrat%20Jabeen">Musarrat Jabeen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Thoughtful intelligence offers a sustainable position to enhance the influence of decision-makers. Thoughtful Intelligence implies the understanding to realize the impact of one’s thoughts, words and actions on the survival, dignity and development of the individuals, groups and nations. Thoughtful intelligence has received minimal consideration in the area of Decision Support Systems, with an end goal to evaluate the quantity of knowledge and its viability. This pattern degraded the imbibed contribution of thoughtful intelligence required for sustainable decision making. Given the concern, this paper concentrates on the question: How to present a model of Thoughtful Decision Support System (TDSS)? The aim of this paper is to appreciate the concepts of thoughtful intelligence and insinuate a Decision Support System based on thoughtful intelligence. Thoughtful intelligence includes three dynamic competencies: i) Realization about long term impacts of decisions that are made in a specific time and space, ii) A great sense of taking actions, iii) Intense interconnectivity with people and nature and; seven associate competencies, of Righteousness, Purposefulness, Understanding, Contemplation, Sincerity, Mindfulness, and Nurturing. The study utilizes two methods: Focused group discussion to count prevailing Decision Support Systems; 70% results of focus group discussions found six decision support systems and the positive inexistence of thoughtful intelligence among decision support systems regarding sustainable decision making. Delphi focused on defining thoughtful intelligence to model (TDSS). 65% results helped to conceptualize (definition and description) of thoughtful intelligence. TDSS is offered here as an addition in the decision making literature. The clients are top leaders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thoughtful%20intelligence" title="thoughtful intelligence">thoughtful intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20decision%20making" title=" sustainable decision making"> sustainable decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=thoughtful%20decision%20support%20system" title=" thoughtful decision support system "> thoughtful decision support system </a> </p> <a href="https://publications.waset.org/abstracts/114747/conceptualizing-thoughtful-intelligence-for-sustainable-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/114747.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">136</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">3967</span> An Integreated Intuitionistic Fuzzy ELECTRE Model for Multi-Criteria Decision-Making</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Babek%20Erdebilli">Babek Erdebilli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study is to develop and describe a new methodology for the Multi-Criteria Decision-Making (MCDM) problem using IFE (Elimination Et Choix Traduisant La Realite (ELECTRE) model. The proposed models enable Decision-Makers (DMs) on the assessment and use Intuitionistic Fuzzy Numbers (IFN). A numerical example is provided to demonstrate and clarify the proposed analysis procedure. Also, an empirical experiment is conducted to validation the effectiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision-making" title="multi-criteria decision-making">multi-criteria decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=IFE" title=" IFE"> IFE</a>, <a href="https://publications.waset.org/abstracts/search?q=DM%E2%80%99s" title=" DM’s"> DM’s</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20electre%20model" title=" fuzzy electre model"> fuzzy electre model</a> </p> <a href="https://publications.waset.org/abstracts/19788/an-integreated-intuitionistic-fuzzy-electre-model-for-multi-criteria-decision-making" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19788.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">651</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">3966</span> Factors Affecting Employee Decision Making in an AI Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yogesh%20C.%20Sharma">Yogesh C. Sharma</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Seetharaman"> A. Seetharaman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The decision-making process in humans is a complicated system influenced by a variety of intrinsic and extrinsic factors. Human decisions have a ripple effect on subsequent decisions. In this study, the scope of human decision making is limited to employees. In an organisation, a person makes a variety of decisions from the time they are hired to the time they retire. The goal of this research is to identify various elements that influence decision-making. In addition, the environment in which a decision is made is a significant aspect of the decision-making process. Employees in today's workplace use artificial intelligence (AI) systems for automation and decision augmentation. The impact of AI systems on the decision-making process is examined in this study. This research is designed based on a systematic literature review. Based on gaps in the literature, limitations and the scope of future research have been identified. Based on these findings, a research framework has been designed to identify various factors affecting employee decision making. Employee decision making is influenced by technological advancement, data-driven culture, human trust, decision automation-augmentation, and workplace motivation. Hybrid human-AI systems require the development of new skill sets and organisational design. Employee psychological safety and supportive leadership influences overall job satisfaction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=employee%20decision%20making" title="employee decision making">employee decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence%20%28AI%29%20environment" title=" artificial intelligence (AI) environment"> artificial intelligence (AI) environment</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20trust" title=" human trust"> human trust</a>, <a href="https://publications.waset.org/abstracts/search?q=technology%20innovation" title=" technology innovation"> technology innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=psychological%20safety" title=" psychological safety"> psychological safety</a> </p> <a href="https://publications.waset.org/abstracts/149984/factors-affecting-employee-decision-making-in-an-ai-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149984.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">109</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">3965</span> Decision-Making Tool for Planning the Construction of Infrastructure Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rolla%20Monib">Rolla Monib</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20I.%20Goodier"> Chris I. Goodier</a>, <a href="https://publications.waset.org/abstracts/search?q=Alistair%20Gibbs"> Alistair Gibbs</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this paper is to investigate the key drivers in planning the construction phase for infrastructure projects to reduce project delays. To achieve this aim, the research conducted three case studies using semi-structured and unstructured interviews (n=36). The results conclude that a lack of modularisation awareness is among the key factors attributed to project delays. The current emotive and ill-informed approach to decision-making, coupled with the lack of knowledge regarding appropriate construction method selection, prevents the potential benefits of modularisation being fully realised. To assist with decision-making for the best construction method, the research presents project management tools to help decision makers to choose the most appropriate construction approach through optimising the use of modularisation in EC. A decision-making checklist and diagram are presented in this paper. These checklist tools and diagrams assist the project team in determining the best construction method, taking into consideration the module type. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=infrastructure" title="infrastructure">infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=modularization" title=" modularization"> modularization</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20support" title=" decision support"> decision support</a>, <a href="https://publications.waset.org/abstracts/search?q=decision-making" title=" decision-making"> decision-making</a> </p> <a href="https://publications.waset.org/abstracts/183101/decision-making-tool-for-planning-the-construction-of-infrastructure-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183101.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span 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