Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This article proposes productivity analysis for evaluating the relative efficiency in corporate real estate usage across decision-making units. Using data from the Greek Telecommunications Organization (GTO), we measure the productivity of 127 branches using the number of employees and the total area covered per building as inputs and the number of telephony access lines as outputs. We apply three nonparametric Data Envelopment Analysis (DEA) models assuming: Constant Returns to Scale (CRS), Variable Returns to Scale (VRS) and Slacks-Based Measures (SBM), respectively. We discuss how the proposed approach can provide real estate managers and analysts a multi-informational tool that allows the quantification of targets and may serve as a guide tool for the efficient employment of real estate assets.