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One of the main aims of management accounting is to provide managers with accurate information in order to provide a good basis for decision-making. There is evidence that the information provided by management accounting systems (MAS) is distorted and the occurrence of biases in accounting information is widely accepted among users of MAS. At the same time, the intensity and the frequency of use of MAS increase, too. Consequently, the quality of the provided information is critical. The focus of this simulation study is twofold. On the one hand, the impact of the sophistication of traditional costing systems on error propagation in the case of a set of input biases is investigated. On the other hand, the impact of single and multiple input biases on the quality of the information provided by traditional costing systems is focused. In order to investigate the research questions, a simulation approach is applied.
Accounting. --- Costing system. --- Managerial accounting. --- Total quality management. --- Commerce --- Business & Economics --- Accounting --- Managerial accounting --- Information resources management --- Data processing. --- Decision making. --- Quality control. --- Corporations --- Information resource management --- Information systems management --- IRM (Information resources management) --- Management accounting --- Business. --- Bookkeeping. --- Operations research. --- Information technology. --- Business --- Computer simulation. --- Business and Management. --- Accounting/Auditing. --- IT in Business. --- Simulation and Modeling. --- Operation Research/Decision Theory. --- Management --- Management information systems --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Accountancy --- Business enterprises --- Commercial accounting --- Finance --- Financial accounting --- Bookkeeping --- Bookkeeping . --- Business—Data processing. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Double entry bookkeeping --- Business education --- Decision making
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This volume presents recent advances in the dynamic field of Artificial Economics and its various applications. Artificial Economics provides a structured approach to model and investigate economic and social systems. In particular, this approach is based on the use of agent-based simulations and further computational techniques. The main aim is to analyze the outcomes at the overall systems’ level as results from the agents’ behavior at the micro-level. These emergent characteristics of complex economic and social systems can neither be foreseen nor are they intended. The emergence rather makes these systems function. Artificial Economics especially facilitates the investigation of this emergent system´s behavior.
Artificial intelligence --- Economics --- Self-organizing systems --- Economic aspects --- Data processing --- Economic theory --- Political economy --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Artificial intelligence. --- Game theory. --- Physics. --- Economic theory. --- Macroeconomics. --- Economics. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Game Theory, Economics, Social and Behav. Sciences. --- Artificial Intelligence (incl. Robotics). --- Complex Networks. --- Macroeconomics/Monetary Economics//Financial Economics. --- Social sciences --- Economic man --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics. --- Artificial Intelligence. --- Applications of Graph Theory and Complex Networks. --- Math --- Science --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics
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This volume presents recent advances in the dynamic field of Artificial Economics and its various applications. Artificial Economics provides a structured approach to model and investigate economic and social systems. In particular, this approach is based on the use of agent-based simulations and further computational techniques. The main aim is to analyze the outcomes at the overall systems’ level as results from the agents’ behavior at the micro-level. These emergent characteristics of complex economic and social systems can neither be foreseen nor are they intended. The emergence rather makes these systems function. Artificial Economics especially facilitates the investigation of this emergent system´s behavior.
Methodology of economics --- Economic schools --- Finance --- Economics --- Operational research. Game theory --- Mathematics --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- financieel management --- bedrijfseconomie --- economie --- economisch denken --- speltheorie --- wiskunde --- KI (kunstmatige intelligentie) --- robots
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One of the main aims of management accounting is to provide managers with accurate information in order to provide a good basis for decision-making. There is evidence that the information provided by management accounting systems (MAS) is distorted and the occurrence of biases in accounting information is widely accepted among users of MAS. At the same time, the intensity and the frequency of use of MAS increase, too. Consequently, the quality of the provided information is critical. The focus of this simulation study is twofold. On the one hand, the impact of the sophistication of traditional costing systems on error propagation in the case of a set of input biases is investigated. On the other hand, the impact of single and multiple input biases on the quality of the information provided by traditional costing systems is focused. In order to investigate the research questions, a simulation approach is applied.
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Intelligent agents (Computer software) --- Management science --- Data processing
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