Information Assurance in Networked Enterprises: MICSS Lab Experiments, Results and Analysis
Thomas Bellocci, Parbati Ray, Shimon Y. Nof · 2001
A lab experiment has been performed using an ERP simulator to study the impact of information failure on the results of a company. Two scenarios have been considered: correct but delayed information, and wrong information. The influence of the length of delay, of the error size, and of the dataset concerned by the failure have also been studied. It follows from the analysis that:- The consequences of a given information failure depend on the dataset in which the failure occurs.- For a given dataset, information failures impact depends on the failure type.- The influence of the length of delay depends on the dataset.- The influence of the error size depends on the dataset. So far companies employ local, specialized solutions that are too restrictive, or not comprehensive. The experiments presented in this paper justify economically the use of solutions with variable assurance in ERP systems. They also provide directions for the