This paper aims to measure the productivity of academic jouals in the field of management science and operations research on the basis of a data envelopment analysis (DEA)-Malmquist approach. Using the empirical results, we make the following findings: (1) Compared with the DEA-CCR (Chaes, Cooper, Rhodes) model, the DEA-BCC (Banker, Chaes, Cooper) model may overestimate the performance of jouals with a shorter cited half-life and fewer articles, and may underestimate the performance of jouals with a longer cited half-life and more articles; (2) The average performance of jouals in the management science and operations research field progressed by 1.8％ during 2007–2014, which was a result of the frontier-shift effect; (3) The gap between the best jouals on the DEA frontier and the rest of the jouals is increasing because the best jouals grow relatively faster; (4) High-level jouals have made more progress and their performance is more stable, and the difference between high-level jouals was also smaller during 2007–2014; and, (5) A higher total factor productivity value corresponds to higher Association of Business Schools rankings for certain jouals.