Explores experimental economic analysis in behavioral neuroeconomics

Features papers from the 2016 Computational Methods in Experimental Economics (CMEE) conference

Features a variety of computational methods used in neuroeconomics

Autorentext

Kesra Nermend is President of Center of Knowledge and Technology Transfer, Head of the Department of Computer Methods in Experimental Economy, and Professor at Institute of IT in Management in the Faculty of Economics and Management at the University of Szczecin, Poland. He has authored and co-authored about 100 publications mainly in area of quantitative methods and tools for the analysis of economics. He is chair of Organization Committees and member of the Programme Committees of Scientific Conferences. He is also a member of the Board of Polish Information Processing Society, West-Pomeranian branch, member of the Polish Association for Knowledge Management and member of Selection of Classification and Data Analysis at the Polish Statistical Association and West Pomeranian Information Society Council.

Magorzata atuszyska is Vice-Dean for student affairs in the Faculty of Economics and Management, Vice-President of the Center of Knowledge and Technology Transfer, and Head of the Department of Methods of Economic Processes Modeling and Simulation at the Institute of IT in Management at the University of Szczecin, Poland. She has authored and co-authored 170 publications mainly from the scope of simulation methods and tools for computer science in economics, management and transport. She is Chair and member of the Programme Committees of scientific conferences, member of the Board of Polish Information Processing Society, West-Pomeranian branch, member of the Board of Scientific Society of Organization and Management, West-Pomeranian branch and member of the Polish Association for Knowledge Management.

Klappentext

Explores experimental economic analysis in behavioral neuroeconomics Features papers from the 2016 Computational Methods in Experimental Economics (CMEE) conference Features a variety of computational methods used in neuroeconomics

Zusammenfassung

Explores experimental economic analysis in behavioral neuroeconomics

Features papers from the 2016 Computational Methods in Experimental Economics (CMEE) conference

Features a variety of computational methods used in neuroeconomics

Inhalt

Part I: Theoretical Basis of Decision-Making-Interdisciplinary Approach.- Chapter 1: Neurobiology of Decision Making Methodology in Decision-Making Research. Neuroanatomical and Neurobiochemical Fundamentals.- Chapter 2: Psychological Determinants of Decision-Making.- Chapter 3: Emotions in Decision-Making.- Chapter 4: Application of Neuroscience in Management.- Chapter 5: Neuroeconomics Genesis and Essence.- Chapter 6: Measuring Economic Propensities.- Chapter 7: Convolutional Representation in Brain Simulation to Store and analyze Information about the Surrounding Environment for the needs of decision-making.- Part II: Behavioral Aspects of Economic Decision Making.- Chapter 8: Identification of Heuristics in the Process of Decision-Making on Financial Markets.- Chapter 9: The Impact of Behavioural Factors on Decisions Made by Individual Investors on the Capital Markets.- Chapter 10: Efficiency of Investment with the Use of Fundamental Power Aspects.- Chapter 11: Investors Decisions in the Light of Exploitable Predictable Irrationality Effect on Warsaw Stock Exchange. The Case of UEFA EURO 2012 and 2016.- Chapter 12: Behavioural Aspects of Performance Measurement Systems in Enterprises.- Chapter 13: The Impact of Behavioural Factors on the Decisive Usefulness of Accounting Information.- Chapter 14: The Selected Problems of Behavioural Accounting the Issue of Intellectual Capital.- Chapter 15: The Impact of Information Usefulness of E-Commerce Services on Users Behaviors.- Chapter 16: System Dynamics Modeling in Behavioral Decision Making.- Chapter 17: Prediction of Decision Outcome via Observation of Brain Activity Signals During Decision Making Process.- Part III: Practical Issues Case Studies.- Chapter 18: Validation of EEG as an Advertising Research Method Relation between EEG Reaction Toward Advertising and Attitude Toward Advertised Issue (Related to Political and Ideological Beliefs).- Chapter 19: Assessing Cerebral and Emotional Activity Duringthe Purchase of Fruit and Vegetable Products in the Supermarkets.- Chapter 20: Using the Facereader Method to Detect Emotional Reaction to Controversial Advertising Referring to Sexuality and Homosexuality.- Chapter 21: The Implementation of Cognitive Neuroscience Techniques for Fatigue Evaluation in Participants of the Decision-Making Process.- Chapter 22: Cognitive Neuroscience Techniques in Examining the Effectiveness of Social Advertisements.- Chapter 23: Measuring the Impact of Intrusive Online Marketing Content on Consumer Choice with the Eye Tracking.- Chapter 24: Experimental Study of Color Contrast Influence in Internet Advertisements with Eye Tracker Usage.- Chapter 25: The Use of Experiment In Simulation of Debt of Local Government Units.- Chapter 26: Reflections on Research Process: Online Experiments on Allegro Platform.