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Managing Employee Performance and Reward: Strategies, Practices and Prospects covers two major components of human resource management: managing the performance of employees and how they are rewarded. The text's holistic approach focuses on two overarching objectives of an effective human resource management system: strategic alignment and employees' psychological engagement. The fourth edition has been streamlined to address more clearly the fundamental concepts, strategies and practices of performance and reward. A new chapter on pay negotiation and communication examines pay transparency policies and explores the factors affecting pay negotiation, with particular reference to gender and cultural identity. Each chapter includes discussion questions and 'reality checks' linking to the book's main themes of strategic alignment and psychological engagement. A new running case study takes students through realistic human resource management scenarios and encourages them to apply what they have learnt. Managing Employee Performance and Reward remains an indispensable resource for students and business professionals.
Bridging the divide between theory and practice, this textbook provides an easy-to-read introduction to the basic concepts required for translation practice today. Filling a void in the translation textbook market, it is unique in bringing both current theoretical and empirical knowledge to translation practice in a contextualized and relevant manner, to provide an alternative to translation studies surveys and language-specific manuals. This fully updated second edition features the latest ideas, methodologies, and technological advancements in translation theory and practice. It includes a new chapter on the role of the translator, as well as a useful teacher's companion to facilitate instructional use. Each chapter includes a wide range of exercises, textual figures, and examples taken from a range of different languages. The book also includes numerous online resources, such as PowerPoint chapter summaries and multiple-choice tests with answers. It is ideal for language teachers, translation and language students, and language industry professionals.
Strategic Compensation and Talent Management is a modern guide for managers and students navigating the complexities of pay, incentives, and workforce strategy in today's dynamic business environment. Written in a clear, conversational style, it blends real-world insights with foundational theory and invites readers to step into the manager's role to solve practical problems around attracting, retaining, and motivating talent. Expanded from 15 to 21 chapters, this second edition adds new content on performance management, remote and hybrid work, AI-driven compensation, pay transparency and evolving workforce expectations. A robust visual toolkit – including new diagrams and frameworks – enhances conceptual clarity, and all 50 real-world case discussions are now hosted online to support flexible teaching and group learning. With practical 'lessons for managers' in every chapter and a rich suite of teaching resources – including test banks, syllabi, and case materials – this text is both a classroom asset and a professional reference.
Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool R, a new chapter on using R for statistical analysis, and a new chapter that demonstrates how to use R within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in the popular data science tool Python, a new chapter on using Python for statistical analysis, and a new chapter that demonstrates how to use Python within a range of cloud platforms. The many practice examples, drawn from real-life applications, range from small to big data and come to life in a new end-to-end project in Chapter 11. New 'Data Science in Practice' boxes highlight how concepts introduced work within an industry context and many chapters include new sections on AI and Generative AI. A suite of online material for instructors provides a strong supplement to the book, including lecture slides, solutions, additional assessment material and curriculum suggestions. Datasets and code are available for students online. This entry-level textbook is ideal for readers from a range of disciplines wishing to build a practical, working knowledge of data science.
Essentials of Geomorphology is an introductory textbook covering the latest research on landforms, both on Earth as well as on planets and moons. This easy-to-read, non-quantitative textbook hones in on the knowledge of leading experts in the field, and presents the practicality, applications and necessity of geomorphology. Replete with beautiful color figures and photographs, it contains in-depth discussions on fluvial and glacial geomorphology while also covering topics such as planetary geomorphology, biogeomorphology, Earth history and climate change, and periglacial systems. Descriptive, but also process-driven, it is intended for readers interested in physical landscapes, regardless of their previous background or level of training in geography or geology. To this end, it only includes the basic mathematics needed to understand the concepts presented.
Accessible and engaging, The Politics of Human Rights offers a fresh, empirical approach to understanding human dignity and the global responsibility to protect it. Unlike traditional texts, this textbook moves beyond theory, using data-driven insights to explore why human rights violations occur and how they can be prevented. It emphasizes shared responsibility across borders to uphold human rights. Designed for students and educators, this fully updated edition enhances learning with discussion questions, recommended readings, and a unique collection of films, podcasts, and websites that bring human rights issues to life. It provides a well-rounded perspective, grounded in latest social scientific research, for anyone interested in human rights. Whether used for introductory courses or interdisciplinary studies, this book equips readers with the knowledge and tools to critically engage with human rights issues, making it an essential resource for understanding and advocating for human dignity in the twenty-first century.
Knowing your end-customer, how they think, and how they make decisions is crucial for the effective design and management of marketing channels. In this comprehensive and engaging new textbook, Frazier demystifies strategic channel decision-making by emphasizing the basics and using real-world examples from a range of industries to demonstrate how channels of distribution are organized and coordinated. Taking a managerial decision-making approach, students are guided through the text via a range of pedagogical features, including learning objectives and key takeaways, and can test their understanding with end-of-chapter review and discussion questions. Instructors are supported by an extensive suite of online resources, including test bank cartridges, lecture slides, and figures from the book. Every chapter is accompanied by two online case studies, one B2B, one B2C, while the instructor manual brings together teaching tips, links to relevant videos, and sample exam papers, along with model answers to the chapter assessments to assist with class marking.
This innovative textbook has been designed with approachability and engagement at its forefront, using language reminiscent of a live lecture and interspersing the main text with useful advice and expansions. Striking a balance between theoretical- and experimental-led approaches, this book immediately immerses the reader in charge and neutral currents, which are at the core of the Standard Model, before presenting the gauge field, allowing the introduction of Feynman diagram calculations at an early stage. This novel and effective approach gives readers a head start in understanding the Model's predictions, stoking interest early on. With in-chapter problem sessions which help readers to build their mastery of the subject, clarifying notes on equations, end of chapter exercises to consolidate learning, and marginal comments to guide readers through the complexities of the Standard Model, this is the ideal book for graduate students studying high energy physics.
This leading textbook introduces students and practitioners to the identification and analysis of animal remains at archaeology sites. The authors use global examples from the Pleistocene era into the present to explain how zooarchaeology allows us to form insights about relationships among people and their natural and social environments, especially site-formation processes, economic strategies, domestication, and paleoenvironments. This new edition reflects the significant technological developments in zooarchaeology that have occurred in the past two decades, notably ancient DNA, proteomics, and isotope geochemistry. Substantially revised to reflect these trends, the volume also highlights novel applications, current issues in the field, the growth of international zooarchaeology, and the increased role of interdisciplinary collaborations. In view of the growing importance of legacy collections, voucher specimens, and access to research materials, it also includes a substantially revised chapter that addresses management of zooarchaeological collections and curation of data.
Revised and updated throughout, the second edition of this succinct textbook provides the perfect introduction to biomaterials, linking the fundamental properties of metals, polymers, ceramics and natural biomaterials to the unique advantages and limitations surrounding their biomedical applications. New chapters on protein chemistry and interactions, immunology and tissue response, and biocompatibility round out student understanding. Clinical concerns such as sterilization, surface modification, cell-biomaterial interactions, drug delivery systems and tissue engineering are discussed, giving students insight into real-world challenges associated with biomaterials engineering. Key concepts are summarized alongside the text, allowing students to identify the most vital information. The final chapter discusses clinical applications, challenging students to consider future industrial possibilities. Concise enough to be taught in one semester, requiring only a basic understanding of biology, accompanied by over 180 end-of-chapter problems, and featuring color figures throughout, this accessible textbook continues to be ideal for students of engineering, materials science and medicine.
This textbook focuses on general topology. Meant for graduate and senior undergraduate mathematics students, it introduces topology thoroughly from scratch and assumes minimal basic knowledge of real analysis and metric spaces. It begins with thought-provoking questions to encourage students to learn about topology and how it is related to, yet different from, geometry. Using concepts from real analysis and metric spaces, the definition of topology is introduced along with its motivation and importance. The text covers all the topics of topology, including homeomorphism, subspace topology, weak topology, product topology, quotient topology, coproduct topology, order topology, metric topology, and topological properties such as countability axioms, separation axioms, compactness, and connectedness. It also helps to understand the significance of various topological properties in classifying topological spaces.
A comprehensive yet concise history of the English language, this accessible textbook helps those studying the subject to understand the formation of English. It tells the story of the language from its remote ancestry to the present day, especially the effects of globalisation and the spread of, and subsequent changes to, English. Now in its third edition, it has been substantially revised and updated in light of new research, with an extended chapter on World Englishes, and a completely updated final chapter, which concentrate on changes to English in the twenty-first century. It makes difficult concepts very easy to understand, and the chapters are set out to make the most of the wide range of topics covered, using dozens of familiar texts, including the English of King Alfred, Chaucer, Shakespeare, and Addison. It is accompanied by a website with exercises for each chapter, and a range of extra resources.
The fourth edition of Explaining the History of American Foreign Relations reconceptualizes this long-established classic to focus squarely on methods: not what we do, but how we do what we do. It presents revised, sharply focused essays on methods for researching national security, development, political economy, gender, religion, race, emotion, and nongovernmental organizations, alongside entirely new contributions on digital resources, spatial analysis, technology, materials, the natural world, the interaction of race and empire, US-Indigenous relations, ideology, and culture. The chapters are bracketed with an essay that assesses changes in the conception of US foreign relations history, and with an overview of how US foreign relations history is practiced in China. The essays, by scholars who have made a significant contribution in their areas of specialization, highlight conceptual approaches and methods that, taken together, offer an innovative and practical 'how-to' manual for both experienced scholars and newcomers to the field.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
There are many different types of decisions – from the important and life-changing to the mundane and everyday – but all are important for our functioning as humans. This book offers an accessible guide to the complex process of human decision-making, tailored for both undergraduate and graduate students. It combines recent research with real-life examples to provide a comprehensive understanding of the underlying biology of decision-making, its relationship to cognitive abilities such as working memory, executive function and attention, and its intersection with development. The book also explores applications and theories of decision-making, giving readers a broader perspective on the field. Presented in an accessible format with in-depth explanations, the work provides everything needed to build a strong basis of understanding of the underlying biology to the more complex topics of how decision-making develops and impacts on other behaviours. Discussion points are included throughout to encourage deeper reflection on the content covered.
Designed specifically for class use, this text guides students through developing their own full, working constructed language. It introduces basic concepts and the decisions students need to make about their conlang's speakers and world, before walking them through the process of conlanging in incremental stages, from selecting a language's sounds to choices about its grammar. It includes hundreds of examples from natural and constructed languages, and over seventy end-of-chapter exercises that allow students to apply concepts to an in-progress conlang and guide them in developing their own conlang. Ideal for undergraduates, the text is also suitable for more advanced students through the inclusion of clearly highlighted sections containing advanced material and optional conlang challenges. Instructor resources include an interactive slideshow for selecting stress patterns, an exercise answer guide and a sample syllabus, and student resources include a 'select-a-feature' conlang adventure, a spreadsheet of conlang features, and supplementary documentation for the exercises.
The fully revised fifth edition of this highly acclaimed undergraduate textbook provides a thought-provoking introduction to evolutionary psychology, while assuming no prior knowledge of evolutionary theory. The authors continue to carefully guide students towards a level of understanding where they can critically apply evolutionary theory to psychological explanation, providing an engaging and balanced discussion of the field. New material has been added on female homosexuality, artificial intelligence and language, cooking and human brain expansion, Covid-19 and rates of evolutionary change, and the effects of digital media on mental health. This edition also has new and revised boxed case studies, many new figures, extra discussion questions, and additional further reading suggestions. The text is accompanied by online resources including an updated test bank and lecture slides, as well as new answers to the end-of-chapter questions. This is essential reading for students taking undergraduate and graduate courses in evolutionary psychology.
Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, calculus and optimization, and probability and statistics, demonstrating their relevance in the context of data analysis. Key application topics include clustering, regression, classification, dimensionality reduction, network analysis, and neural networks. What sets this text apart is its focus on hands-on learning. Each chapter combines mathematical insights with practical examples, using Python to implement algorithms and solve problems. Self-assessment quizzes, warm-up exercises and theoretical problems foster both mathematical understanding and computational skills. Designed for advanced undergraduate students and beginning graduate students, this textbook serves as both an invitation to data science for mathematics majors and as a deeper excursion into mathematics for data science students.