Abstract
In this article, a comparison between nine traditional models of productivity measurement and a transdisciplinary model is made. The study includes a description of the characteristics, advantages, and disadvantages of the most used models worldwide by for-profit organizations, as well as those of a new transdisciplinary model. The scientometric and bibliometric analyses are the primary sources in the definition of the representative elements of each model and the particularities that influence the measurement of company productivity. In addition, applied research is used through inquiry to professionals from different areas, businessmen, employees, and researchers related to the manufacturing area, with the aim of obtaining differential information about the models. The results indicate that the use of the total productivity measurement model predominates due to ease of implementation; on the other hand, data envelopment analysis (DEA) is little used because it is strongly impacted when comparing multiple variables; economic models are generally used to estimate government taxes. Finally, the research shows that the generalization of the use of a transdisciplinary model to measure productivity is feasible; however, the model requires an integral structure that allows it to adapt to changing global conditions.