Optimisation models and the economics of managerial decision-making Cover Image

Optimisation models and the economics of managerial decision-making
Optimisation models and the economics of managerial decision-making

Author(s): Sylwia Skrzypek-Ahmed, Wiktor Cwynar, Stanisław Skowron, Barbara Mróz-Gorgoń, Kamila Ćwik
Subject(s): Business Economy / Management
Published by: Wydawnictwo Akademii Nauk Stosowanych WSGE im. A. De Gasperi w Józefowie
Keywords: decision planning; decision making process; managerial decision making; optimization; efficiency; rationality

Summary/Abstract: Making optimal decisions is a process whose aim is to select the best solution from the perspective of efficiency, economy and rationality. This process includes a group of logically related mental and computational operations. They lead to the selection of the best possible decision-making option. To optimize decision-making processes and increase their quality, various methods and techniques based on mathematics and statistics are used. Decision-making is a basic condition for solving management and economic problems in an organization, whether traditional, process-based or project-based. Rational models, where the issue of rationality in the decision-making process is considered in relation to: conditions and assumptions that must be met in order for decisions to be classified as rational, practical recommendations (how a rational manager should act), model approaches to decision-making processes (how how decision-making processes should proceed). Behavioral models of bounded rationality. Here, the decision-maker follows the rules of full rationality, but is not "perfect" in his tasks. He is prevented from acting fully rationally by certain limitations: cognitive, motivational, organizational or emotional. Heuristic models - they assume a complete departure from full rationality, present real decision-making processes, akin to the "double process" mozel - integrate an approach oriented on rational analysis with an approach oriented on intuition.

  • Issue Year: 54/2023
  • Issue No: 5
  • Page Range: 810-825
  • Page Count: 16
  • Language: English
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