Confidently analyse your organization's HR data using R and R Studio to gain insights that improve people strategy and business decision-making. Effective use of HR data has the power to transform a business. However, this is only possible if HR practitioners have the knowledge, skills and confidence to analyse the data and to draw evidence-based insights from it. This book is the practical guide that HR professionals need. Through worked examples, this book shows readers how to carry out and interpret analyses of HR data in areas such as recruitment, performance, employee engagement and diversity. People professionals are then shown how to use the results to develop robust people strategies and to support more effective evidence-based decision-making. Using R in HR Analytics provides a thorough grounding in the differences between descriptive reporting and predictive analytics as well as the methods and measures used to identify the validity of results. There is also expert guidance on the role of artificial intelligence, machine learning and large language modelling on HR analytics. Written for HR professionals at any level, there is essential coverage of data privacy and the ethical considerations of using people data. Online resources include sample datasets to allow readers to practice analysing HR data.

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The book then guides you through various analytical techniques, starting with "Descriptive Analytics in HR", where you learn to perform basic statistical analysis and data interpretation. "Performance Metrics" provides insights into structuring and applying performance metrics effectively, while "Compensation and HR Analytics" delves into creating comprehensive compensation frameworks and policies. For those interested in more advanced topics, chapters like "Diagnostic Analytics in HR", "Predictive Analytics in HR", and "Prescriptive Analytics in HR" cover everything from regression analysis to predictive modelling and strategic planning using Excel. We also explore "Advanced Excel Functions for HR Analytics" for more seasoned Excel users, aiming to automate and enhance their data analysis. The book does not stop at analytics within Excel; "Integrating Excel with Other HR Systems" provides valuable insights into how Excel can interact with various HRIS and other tools, emphasizing the importance of integration in modern HR practices.

"HR Analytics for Business Excellence" explores the transformative power of data-driven decision-making in human resource management. This book provides comprehensive insights into leveraging analytics to enhance employee performance, optimize talent acquisition, and improve overall organizational effectiveness. It delves into key metrics, analytical tools, and case studies, illustrating how HR analytics can drive strategic initiatives, foster a culture of continuous improvement, and ultimately contribute to business success. By integrating analytics into HR practices, organizations can make informed decisions that align with their goals and enhance their competitive advantage.

Modern research goes beyond disciplinary horizons for devising solutions to the society’s most pressing unsolved issues. Within the disciplinary framework, the ability to solve problems through the generation of knowledge is no more addressed from discipline-specific points of view only. However, it has become apparent that the research needed to address today’s complex problems requires the expertise of many disciplines. Multidisciplinary approach incorporates a combination of concepts and knowledge from various disciplines. These contributions enable the exchange of knowledge and experiences from diverse groups of people that can promote a holistic vision of a subject, as well as new explanatory theories. Being multidisciplinary does not mean giving up skills—it means moving into new scientific directions using one’s own special set of skills. Rather than being an end in itself, this kind of research is a way of achieving innovative goals, enriched understanding, and a synergy of new methods. The book highlights, the diverse perspectives of the researchers across disciplines from sustainable urban development to renewable energy strategies, from biodiversity conservation to equitable machine learning, internet of things, deep learning and Artificial Intelligence (AI) models, eco-friendly methods, individualized education plans, and social policies that can contribute to more comprehensive and effective solutions to some of the world’s most pressing issues, while acknowledging that sustainability challenges are inherently interconnected hence the importance of inclusivity in research.

CENELEC EN 50128 and IEC 62279 standards are applicable to the performance of software in the railway sector. The 2011 version of the 50128 standard firms up the techniques and methods to be implemented. This is a guide to its implementation, in order to understand the foundations of the standard and how it impacts on the activities to be undertaken, helping towards better a preparation for the independent evaluation phase, which is mandatory.

This book aims to facilitate and improve development work related to all documents and information required by functional safety standards. Proof of Compliance (PoC) is important for the assessor and certification bodies when called up to confirm that the manufacturer has developed a software system according to the required safety standards. While PoC documents add functionality to the product neither for the developer nor for the customer, they do add confidence and trust to the product and ease certification, and as such are important for the product’s value. In spite of this added value, the documentation needed for PoC is often developed late in the project and in a haphazard manner. This book aims at developers, assessors, certification bodies, and purchasers of safety instrumented systems and informs the reader about the most important PoC documents. A typical PoC documentation encompasses 50 to 200 documents, several of which are named in the safety standards (e.g., 82 documents in IEC 61508:2010 series, 101 documents in EN 5012X series and 106 work products in ISO 26262:2018 series). These documents also include further references, typically one to twenty of them, and the total number of pages developed by the manufacturer varies between 2000 and 10000 pages. The book provides guidance and examples what to include in the relevant plans and documents.

This book provides comprehensive analysis of a number of groundwater issues, ranging from flow to pollution problems. Several scenarios are considered throughout, including flow in leaky, unconfined, and confined geological formations, crossover flow behavior from confined to confined, to semi-confined to unconfined and groundwater pollution in dual media. Several mathematical concepts are employed to include into the mathematical models’ complexities of the geological formation, including classical differential operators, fractional derivatives and integral operators, fractal mapping, randomness, piecewise differential, and integral operators. It suggests several new and modified models to better predict anomalous behaviours of the flow and movement of pollution within complex geological formations. Numerous mathematical techniques are employed to ensure that all suggested models are well-suited, and different techniques including analytical methods and numerical methods are used to derive exact and numerical solutions of different groundwater models. Features: Includes modified numerical and analytical methods for solving new and modified models for groundwater flow and transport Presents new flow and transform models for groundwater transport in complex geological formations Examines fractal and crossover behaviors and their mathematical formulations Mathematical Analysis of Groundwater Flow Models serves as a valuable resource for graduate and PhD students as well as researchers working within the field of groundwater modeling.

The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages ofReshaping Learning with Next Generation Educational Technologies. This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies.