Decision Making in Organizations: The Aloz Decision Range Perspective [ READ ]
Alocate Zvikaramba
Decision Making in organizations can extremely be challenging if choices are not logically selected and effects weighted in advance. In this paper we introduce ‘Aloz Decision Range’ as a hub with critical components and their mathematical properties to assist in understanding Decision Making. A lot has not been said about Decision Making whose boundaries are shared yet disputed between psychology, science, mathematics and economics or many more fields. Decision making under unclear circumstances is tricky and challenging that is why scholars advocate for expert judgement, but how often have we witnessed experts fail? This means that a solution in the form of a Decision Outcome may be obtained by a more or less rational process, based on explicit or tacit knowledge. Aloz Decision Range is applied in one of real life scenarios and dove-tailed with planning algorithms to support its validity.
Alocate Zvikaramba
Decision Making in organizations can extremely be challenging if choices are not logically selected and effects weighted in advance. In this paper we introduce ‘Aloz Decision Range’ as a hub with critical components and their mathematical properties to assist in understanding Decision Making. A lot has not been said about Decision Making whose boundaries are shared yet disputed between psychology, science, mathematics and economics or many more fields. Decision making under unclear circumstances is tricky and challenging that is why scholars advocate for expert judgement, but how often have we witnessed experts fail? This means that a solution in the form of a Decision Outcome may be obtained by a more or less rational process, based on explicit or tacit knowledge. Aloz Decision Range is applied in one of real life scenarios and dove-tailed with planning algorithms to support its validity.
