Determination of a hospital management policy using conjoint analysis in the analytic network process

Abstract

When making management performance decisions, administrators frequently utilize balanced scorecard (BSC) to measure performance because the BSC does not excessively focus on financial measures and seeks a balance among customer perspectives, learning and growth, internal business processes and financial measures. A growing number of studies have applied the analytic hierarchical process (AHP) method to choose BSC metrics for management performance. These AHP methods assume that criteria are independent. Saaty (Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh, 1996) presented the analytic network process (ANP) method to solve the limitations that criteria are independent. Conventional ANP methods involve complex calculations when the number of criteria increases. Hence, this study attempts to integrate conjoint analysis (CA) and the ANP method to simplify the ANP calculation procedure. Additionally, the decision of management policy is utilized with BSC to determine whether the situation at a hospital demonstrates the feasibility of integrating CA with ANP. Study results reveal that the proposed methodology increases the efficiency of decision making among policymakers and reduces associated risks