This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world's most challenging problems. In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations. Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.

Organizations today understand that superior talent can create competitive business advantage. Executives are working with human resource managers and talent professionals to significantly improve their organization's ability to attract, develop, deploy, and retain the talent needed to achieve the organization's strategies. Effective CEOs and senior leaders are realizing that strong talent resources are as critical to business success as financial resources. This book in the SIOP Professional Practice Series provides an up-to-date review and summary of current and leading-edge talent management practices in organizations. A comprehensive book, Strategy-Driven Talent Management brings together an outstanding group of leading practitioners who present state-of-the-art ideas, best practices, and guidance on how to recruit, select, assimilate, develop, and retain exceptional talent and integrate talent management efforts with organizational strategy. Written for human resource professionals, industrial-organizational psychologists, and corporate executives, this key resource is a clear must-read guide to the emerging field of strategic talent management. Strategy-Driven Talent Management shows how to build competitive advantage through an integrated and strategic talent management program summarizes what it takes to attract, develop, deploy, and retain the best talent for the strategic needs of an organization reviews critical issues such as managing talent in global organizations and measuring the effectiveness of talent management programs includes case examples and CEO interviews from leading-edge companies such as PepsiCo, Microsoft, Home Depot, Cargill, and Allstate, which reveal how each of these organizations drives talent management with their business strategies This essential must-have HR resource offers insight into the future of strategic talent management, an extensive annotated bibliography and suggestions for preparing the next generation of organizational leaders.

In the summer of 1999, an international group of experts convened in Jerusalem, Israel, in order to define the major environmental challenges facing humanity at the dawn of the new millennium and - where possible - propose ways of addressing them. Almost 50 selected articles are collected in the present book, which constitutes a striking interdisciplinary combination of state-of-the-art science with the latest views on environmental law, education, and international cooperation. Whilst a major fraction of the book is devoted to water-related issues (water quality monitoring, water and wastewater treatment, water-based international cooperation, and more), other sections deal with timely topics relating to air pollution, biodiversity, conservation, and education. The book is intended for environmental scientists, professionals, and students of all disciplines.

The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.

Sixty-three stellar academics, consultants, and practitioners look at the future of human resources The follow-up to the bestselling Tomorrow's HR Management (978-0-471-19714-0), this book presents an international panel of expert contributors who offer their views on the state of HR and what to expect in the future. Topics covered include HR as a decision science, understanding and managing people, creating and adapting organizational culture, the effects of globalization, collaborative ventures, and investing in the next generation. Like its bestselling predecessor before it, The Future of Human Resource Management offers the very best thinking on the future of HR from the most respected leaders in the field.

Talent management is a central element of managerial discourse and organisational practice. This short-form book provides a succinct overview on the state of research on talent management. The authors set out the key themes, arguments, trends and future research trajectories of talent management, highlighting major works in the field. As a research topic with a fragmented body of knowledge, pluralistic perspectives are summarised, while workforce differentiation emerges as a central element. A critical introduction for students, scholars and reflective practitioners, this book guides readers through a relatively new and rapidly developing area of management research.