In Data Envelopment Analysis(DEA)literature,a very few super-efficiency modelsfocus on handling negative data.In this paper,we propose an integrated slacks-based super-efficiency measure(integrated super SBM)modelto handle negative data.The proposed integrated super-efficiency model can evaluate the efficiency scores of inefficient decision-making units(DMUs)and super-efficiency scores of efficient DMUs simultaneously.Further,itcouldseparate the efficient DMUs from inefficient ones as well as differentiate between efficient DMUs,and rank all DMUs in one-stage.With the advantage of time-efficient in the computational process,the practical application of this model would be high.The slacks-based measure considers both radial and non-radial slacks and reflects more inefficiencies than radial models.Moreover,the proposed measure can deal with negative data directly without any subjective transformation of the observations,which expands its real-world application,especially in the existence ofnegative data.Besides,the projection of each DMUis strongly Pareto efficient,and the model can never lead the inefficient DMUs to worse targets.