findings indicate that employing machine learning methods including clustering with PCA, eigenvector centrality, authority and … and their interconnections. The first approach utilizes traditional linkages, while the second approach employs machine … learning methods. Data come from the OECD database for input-output tables spanning the years 2003, 2008, 2013, and 2018. Our …

We examine predictive machine learning studies from 50 top business and economic journals published between 2010 and … 2023. We investigate their transparency regarding the predictive performance of machine learning models compared to less … machine learning varies by discipline, and is most frequently used in information systems, marketing, and operations research …

and moderating relations between distinct predictors. Recent research demonstrates that machine learning techniques can …