Talent has become the most important resource for organizations across a wide range of sectors throughout the world including business, non-profit, and government. These organizations are now engaged in an increasingly fierce competition to acquire the best talent as they seek to gain the upper hand in today's fast changing environment. By combining the body of knowledge on entrepreneurship and talent management from a global perspective, this book provides a synthesized understanding of entrepreneurial mobility and talent management in the entrepreneurship and innovation ecosystem.

International talent management has become a critically important topic for scholarly discussion, in policy debates, and among the business community. Despite this, however, research into talent management tends to lack theoretical underpinnings, especially from an international, multidisciplinary, and comparative perspective. This Research Handbook fills this gap, bringing together a range of leading researchers, scholars, and thinkers to debate and advance the conceptualization and understanding of this multifaceted subject. With chapters covering key topics within multiple domains of...

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis.

 

This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational, technical and experimental details. It presents a systematic and up-to-date overview of tensor decompositions from the engineer's point of view, and comprehensive...