Publication Date


Degree Type

Master's Project

Degree Name

Master of Science (MS)


Computer Science


Employee performance often determines the progress of a company. Poor appraisals and improper assessment directly effects employee satisfaction and impair company results. Many managers rely primarily on behavioral impressions without appropriately including factual information of the actual work done. There is clear benefit from procedures that elicit and use both factual and subjective criteria for assessment. Analytical Hierarchy Process (AHP) is a methodology that can be applied to complex decisions with multiple criteria [29]. AHP has the capability to combine both subjective and objective evaluation factors, thereby minimizing bias in decision making [29]. The methodology also allows subjective measures from both managers and peers of a worker to be included. This project proposes a unique application of AHP for the calculation of employee performance by a quality assurance department. My implementation of the methodology shows how subjective evaluation by both managers and peers and factual data can be combined to better optimize performance appraisal results. The results of an AHP application can be presented to the manager in graphical format to facilitate comprehension and interpretation. My application of AHP improves upon all the current products in the market for performance appraisal through the methodology to include both multi source subjective and factual data.