Application effects and limitations of analytic hierarchy process as a research methodology-A comparison of 3 statistical technique for evaluating MIS success factor

Biases and errors in the human being’s reasoning process have been studied continuously by the researchers, especially psychologists and social scientists. These bias phenomenon is classified on the basis of the origion, i.e. motivation and cognition. Furthermore the necessity of research on the bias in the management and management information system areas is increased more and more recently, which have their academic backgrounds in the psychology and social science. The biased information stream is transformed into the systematic error due to the motivation and cognitive bias of human-being, then its resulting phenomena are as follows: (1) the availability of salient information; (2) preconceived ideas or theories about people and event; (3) anchoring and perseverence phenomena. In order to reduce the information errors, Saaty suggested the Analytic Hierarchy Process (AHP) that is the subject of this paper and that is widely used for evaluation of complex decision making alternatives. Therefore this paper studies AHP’s affects and its limitations in applying to the management area. Thus this paper compared the performances of the 3 models: (1) the traditional additive regression model; (2) regression model using the factor score; and (3) the regression model with AHP. As a result, 3 models produce the different outcomes. [In Korean.]