In today's world, we are surrounded by data. Data is widely recognized as the most critical asset of the 21st century – which has been called the "big data era". The ability to quickly and intelligently extract information from data can represent an asset for every organization to guide its actions, contributing to building a sustainable competitive advantage. Data science is growing rapidly as an interdisciplinary area that includes statistics, data mining, machine learning, and analytics. Among these fields, machine learning aims to create machines that improve autonomously and learn through experience, able to uncover hidden patterns and make decisions with little human intervention.
Combined with big data, machine learning can open a wide span of possibilities for business and management researchers, and contribute to developing new research questions and theories. With more data scope and richness, it is possible to address new problems that have never been investigated before.
As such, the workshop seeks to bring together international scholars interested in exploring the intersection of big data and machine learning approaches in entrepreneurship, SMEs and family business research to create new knowledge.