Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

"This book leads to emergence of new, insufficiently analyzed and described organizational phenomena. Thoroughly studying this from international comparative cross-cultural perspective, Management Practices in High-Tech Environments presents cutting-edge research on management practices in American, European, Asian and Middle-Eastern high-tech companies, with particular focus on fieldwork-driven, but reflective, contributions"--Provided by publisher.

"This book covers a wide range of topics involved in the outsourcing of information technology through state-of-the-art collaborations of international field experts"--Provided by publisher.

Employee turnover can be expensive, disruptive, and damaging to organizational success. Despite the importance of successfully managing turnover, many retention management efforts are based on misleading or incomplete data, generic best practices that don’t translate, or managerial gut instinct at odds with research evidence. This book culminates volumes of academic research on employee turnover into a practical guide to managing retention. Turnover fictions are dispelled and replaced by research-based facts. Keys to diagnosing and managing employee turnover are presented such that you can effectively manage employee retention today. These ideas will be invaluable to you and anyone who cares about the impact of turnover on the organization, including the CEO who is looking at the impact on the bottom line, managers who suffer when their best talent leaves, and human resource professionals whose career success may depend on effectively managing turnover.

This book analyses managerial responses and people management strategies and processes adopted to deal with the challenges imposed by the Global Financial Crisis (GFC). It examines how key actors in the system exercised strategic choices in a given strategic environment, as well as how they responded and developed strategies in this globally integrated industry, in an emerging market context. The book focuses on the nature of strategic choices available to firms in the Indian information technology (IT) and knowledge and business process outsourcing (K and BPO) industry. It looks at how these Indian firms in the IT industry exercise their strategic choices to deal with their routine business and how these routines were changed through learning and investment in certain HR and management practices in times of crisis. Additional insights from other national and industry contexts are also provided for wider coverage of how the GFC-affected organisations frame their responses to deal with it. The book examines the changes in the human resource processes and how organisations adjust their operant business models to deal with the pressures brought about by the crisis.

An unmatched collection of resources perfect for psychologists, scholars, and HR practitioners In The Wiley Blackwell Handbook of the Psychology of Recruitment, Selection and Employee Retention, an expert team of authors presents a comprehensive and authoritative perspective on critical issues in employee recruitment, selection, and retention. Every chapter offers an in-depth review of the most recent literature and provides academics, researchers, industry practitioners, and students with a holistic reference to relevant data and theory. The book includes job analyses, biodata, simulation exercises, talent management guides, talent assessment guides for leadership development, and online employee selection strategies.

Human Capital in the Indian IT / BPO Industry analyses human capital management in the Indian information technology (IT) and business process outsourcing (BPO) industry, which has created a new paradigm for organising global talent engaged in designing and delivering IT and BPO services.