Within the framework of a study in the field of corporate finance, developed duringthe pandemic in Uruguay, about the COVID-19 IMPACT ON COMPANIES URUGUA-YAS in decision-making on downsizing, telecommuting, training and work environment,among others, a typology of business decision making is elaborated using the modal pro-file kmodes clustering method on binary type variables. Several scenarios are analyzedthat account for the number of decision-making profiles based on the number of groups.In particular, it studies variability of some metrics that allow evaluating the homogeneityof the groups and decide a possible solution to the number of groups. This variability isstudied based on the bootstrap method, which is random in the choice of centers, thusseeing the dependency with the solution found and also in the structure of the data forwhich we work with learning samples, varying its size using resampling methods.