The mobility of data factors and the adoption of a collaborative innovation framework are key drivers influencing the gaps in total factor productivity (TFP) among enterprises in the digital economy. Using panel data from Chinese A-share listed companies between 2006 and 2022, this study...

1. Describing Data 2. Data and Information Technology 3. The Application of Data 4. Protecting and Regulating Data 5. Making Decisions with Data 6. Ethical Use of Data 7. Moving Forward: What's Ahead of Us

This note provides guidance to country teams on the application of Fund policies and procedures related to data provision to the Fund for surveillance purposes. It provides staff with clear procedures and practical tools for the assessment of data adequacy and guidance on the Fund’s...

This study investigates how data science competencies, conceptualized as the micro-foundations of digital dynamic capabilities (DDCs), combine to influence the development of digital business capability (DBC). Using fuzzy-set qualitative comparative analysis (fsQCA), we examine configurations of...

This book leverages statistical analysis, data mining, and machine learning techniques to address managerial and socioeconomic problems. With the advent of modern technologies, massive amount of data, especially big data, proliferate from business transactions and users. Consequently, there is...

On Explainable Data Science -- Why Shapley Value and Its Generalizations Are Effective in Economics and Finance, Machine Learning, and Systems Engineering -- Why Skew-Normal Distributions and How They Are Related to ReLU Activation Function in Deep Learning -- A Study of Machine Learning Models...