DATA ENVELOPMENT ANALYSIS IN APARTMENT BUILDING PERFORMANCE MEASUREMENT: A CASE STUDY

DATA ENVELOPMENT ANALYSIS IN APARTMENT BUILDING PERFORMANCE MEASUREMENT: A CASE STUDY

This paper examines the improvement of operations and decision-making processes by applying Data Envelopment Analysis(DEA) to appraise the operational efficiency of 24 apartment buildings. In this study, efficiency was based on four dimensions:operational finance, management systems, service quality, and personnel quality. Operational efficiency was assessed using eightitems from which five output items were secured. It was observed that the total efficiency for the four dimensions used to measureefficiency was consistently in excess of 90%. The Decision Making Unit (DMU) efficiency was marginally affected by personnelquality. The optimal efficiency for each of the four dimensions was recorded in DMU9 (operational finance), DMU23 (managementsystem), DMU22 (service quality), and DMU18 (personnel quality). DMU10 accounted for four of the five highest efficiencyratings in a single year and can be seen as the benchmark for overall operational efficiency. DMU23 accounted for three of the fivelowest efficiency ratings in a single year and was thus the least efficient and can be considered the most in need of urgentimprovement. To improve inefficiency, this study applied the CCR model for variable differential analysis in order to decrease theratio of inputs for each case.