AUTHOR=Fernández-i-Marín Xavier 

TITLE=Extracting Configurations of Values Mixing Scores From Experts and Ignoramus Using Bayesian Modeling

JOURNAL=Frontiers in Applied Mathematics and Statistics

VOLUME=Volume 5 - 2019

YEAR=2019

URL=https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2019.00012

DOI=10.3389/fams.2019.00012

ISSN=2297-4687

ABSTRACT=The article proposes a method for producing configurations of values in firms. Values have an impact in the long-term survival of businesses and guide managerial decision-making.
The method produces cross-comparable latent rates of configurations of values. Data comes from a pool of 37 firms rated by both experts and ignoramus.
By using Bayesian inference the researcher can tune the expert rater bias. This generates robust estimates using a clear, overt and systematic procedure.
The model is compared with the mean of raters. It produces lower ratings for Economic-Pragmatic values and higher ratings for Ethical-Social values.