Prioritization and decision-making: A brief review of methods

Article type: Research Article

Authors: Lipovetsky, Stan

Affiliations: Minneapolis, MN, USA | E-mail: [email protected]

Correspondence: [*] Corresponding author: Minneapolis, MN, USA. E-mail: [email protected].

Abstract: Statistical and decision-making techniques for solving prioritization problems are described. These approaches include the analytic hierarchy process (AHP) of the multi-attribute decision-making and its extension to the statistical modeling and testing, scaling techniques of priority estimation, maximum difference models, identification of key drivers in regression, and other methods. The described techniques have been widely applied and proved to be helpful for identification and ordering the most important items in solving various marketing research and decision-making problems.

Keywords: AHP, priority, scaling techniques, key driver analysis

DOI: 10.3233/MAS-230951

Journal: Model Assisted Statistics and Applications, vol. 18, no. 1, pp. 95-98, 2023