Express analysis for prioritization:Best-Worst Scaling alteration to System 1

作     者：Stan Lipovetsky 

作者机构：MinneapolisMinnesotaUSA 

出 版 物：《Journal of Management Analytics》 (管理分析学报（英文）)

年 卷 期：2020年第7卷第1期

页      面：12-27页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The author thanks two reviewers whose constructive comments helped to improve the paper 

主　　题：System 1 BWS max diff MNLutility choice probability prioritization 

摘      要：The work considers modification of the Best–Worst Scaling(BWS)to the so-called System 1(S1)approach.S1 was described by *** as a spontaneous and automatic reaction by an unconsciousway in which human decision-makers choose among multiple *** of S1 can be seen as a simplified BWS for data eliciting and express analysis of prioritization between many compared *** S1,a respondent picks the items with which she feels“happy,and those can be one,several,all,or none items in a *** of utilities is performed by multinomial-logit modeling with different optimization criteria which produce parameters of the models and choice probabilities of the *** examples by marketing research data are encouraging and demonstrating that spontaneous choice decisions can make S1 approach very fast,efficient,and convenient for express analysis of items prioritization,especially for big data.