Advanced Techniques and Modeling in Business and Economics

Dear Colleagues,

The integration of advanced techniques, including artificial intelligence (AI), computational economics and big data analytics, into the economy and business sectors has become increasingly significant. These technologies possess capabilities to process vast amounts of data, recognize intricate patterns, and provide precise predictions, thereby revolutionizing our approach to economic and business issues. This shift has transformed our understanding and methods of addressing challenges within these landscapes.

Businesses leverage these advanced techniques to optimize their processes, streamline operations, and achieve higher levels of productivity and cost-effectiveness. Similarly, policymakers are recognizing the potential of these tools in formulating more informed and targeted economic policies. By harnessing the analytical power of such advanced techniques, governments and organizations can make data-driven decisions that lead to better outcomes and increased competitiveness in the global market.

This Topic endeavors to delve into the multifaceted application of advanced techniques in business and economics. We welcome contributions that explore the innovative use of AI, blockchain, big data analytics, computational economics, trend forecasting, and other emerging technologies. We encourage a broad range of topics, including but not limited to economic trend forecasting, optimization of business processes, meticulous analysis of financial risks, intricate modeling of consumer behaviors, formulation of impactful policies, innovative applications within the realms of finance and banking, scrutiny of its effects on the labor market dynamics, as well as its potential contributions to fostering Corporate Social Responsibility (CSR) practices.

We invite scholars and researchers to submit their original research, empirical studies, theoretical frameworks, and case studies that illuminate the myriad dimensions of integrating advanced techniques into the economic and business landscapes.

Prof. Dr. José Manuel Santos Jaén
Dr. Ana León-Gomez
Prof. Dr. María del Carmen Valls Martínez
Topic Editors