The article discusses how researchers in Operations Management are increasingly focusing on addressing endogeneity issues in their studies. They reviewed papers from top journals and found that while there is more attention on this topic, there are still common problems that can affect the accuracy of results. The most common method used to tackle endogeneity is instrumental variable regression, which they demonstrate using a healthcare dataset. Their analysis highlights the importance of using high-quality instruments and cross-checking results to ensure reliable findings.