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Most improvement consultants say improvement efforts must be led by the CEO, and that is certainly ideal. But the actual reality is most CEOs do not actively drive/guide improvement. They want it to happen, but they focus most of their energy on other issues. According to surveys from Gallup and others, the number one reason people say, “I am not engaged” is due to the behaviors of their direct boss! Those leaders (in the middle of an organization) have a tremendous amount of leverage; first- and second-line leaders directly touch 80% of the people in their organization. They have a tremendous amount of influence and more power than they might realize. This book focuses on that demographic. This book describes four key foundations and 25 different actions leaders can practice to become more effective in training their eyes to see things tomorrow that are currently invisible. It helps leaders and managers to become better observers of their current reality by practicing getting better at getting better. The goal is to get better in the way we lead, the way our team performs, and the results we accomplish. If done in the right way, visually posting your improvement targets is the key to driving more personal growth, as well as more cross-functional collaboration and cooperation in your work activities. The most unique aspect of this book is that it suggests leaders use visual tools. Visual Leadership is the fourth foundational element the author encourages people to practice. The primary purpose of visual performance metrics isn’t to make sure things are working well in your department. It’s to create a thinking environment that makes it easier for multiple departments, teams, and groups to work together. It is relatively easy to come up with performance metrics for your team, but what about metrics that help “us” to work more effectively together? Good visual reporting practices create “information democracy.” They eliminate filters that obscure knowledge between layers of management and between departments. They help to create an environment that is much more robust and open, making it easier to be in touch with the “actual reality.” And perhaps the most exciting of all, visual tools can help an individual learn to lead more effectively. The power of using visuals in this way is underutilized in most organizations. Whatever new behaviors a leader is trying to accomplish, visual reporting can facilitate progress and ensure accountability in developing those new habits.
A collection of advice on how to live a happy and rewarding life.
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
Nope, it won't make you a coffee right now. But Outlook can write, sort and tag your mail, find lost items, maybe throw away stuff instantly or re-present it at the time you find it suitable. More than that, Outlook can organize appointments, deliver route planning, present pictures of your contacts and much more.
Marketing Strategy for Museums is a practical guide to developing and delivering marketing that supports museums’ missions and goals. Explaining how museums can be strategic and proactive in their approach, it also shows how to make effective decisions with limited resources. Presenting examples from a range of museums around the world, the author positions marketing as a vital function that aims to build mutually beneficial relationships between museums and their audiences – both existing and new – and ensure museums are relevant and viable. Breaking down key marketing models, Lister shows how they can be applied to museums in a meaningful way. Setting out a step-by-step framework for developing a museum’s marketing strategy and for creating marketing campaigns, which can be scaled up or down. Readers will also be encouraged to reflect on topics such as sustainable marketing; ethical marketing; and accessible and inclusive marketing. Marketing Strategy for Museums provides an accessible guide that seeks to demystify marketing and boost the confidence of those responsible for planning and delivering marketing in museums. It is aimed at people working in museums of all types and sizes and will also be relevant to students of museum and heritage studies.
Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you’ll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions. In Statistics Slam Dunk you’ll develop a toolbox of R programming skills including: Reading and writing data Installing and loading packages Transforming, tidying, and wrangling data Applying best-in-class exploratory data analysis techniques Creating compelling visualizations Developing supervised and unsupervised machine learning algorithms Executing hypothesis tests, including t-tests and chi-square tests for independence Computing expected values, Gini coefficients, z-scores, and other measures If you’re looking to switch to R from another language, or trade base R for tidyverse functions, this book is the perfect training coach. Much more than a beginner’s guide, it teaches statistics and data science methods that have tons of use cases. And just like in the real world, you’ll get no clean pre-packaged data sets in Statistics Slam Dunk. You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team. Foreword by Thomas W. Miller. About the technology Statistics Slam Dunk is a data science manual with a difference. Each chapter is a complete, self-contained statistics or data science project for you to work through—from importing data, to wrangling it, testing it, visualizing it, and modeling it. Throughout the book, you’ll work exclusively with NBA data sets and the R language, applying best-in-class statistics techniques to reveal fun and fascinating truths about the NBA. About the book Is losing basketball games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Does spending more on player salaries translate into a winning record? You’ll answer all these questions and more. Plus, R’s visualization capabilities shine through in the book’s 300 plots and charts, including Pareto charts, Sankey diagrams, Cleveland dot plots, and dendrograms. About the reader For readers who know basic statistics. No advanced knowledge of R—or basketball—required. About the author Gary Sutton is a former basketball player who has built and led high-performing business intelligence and analytics organizations across multiple verticals. Table of Contents 1 Getting started 2 Exploring data 3 Segmentation analysis 4 Constrained optimization 5 Regression models 6 More wrangling and visualizing data 7 T-testing and effect size testing 8 Optimal stopping 9 Chi-square testing and more effect size testing 10 Doing more with ggplot2 11 K-means clustering 12 Computing and plotting inequality 13 More with Gini coefficients and Lorenz curves 14 Intermediate and advanced modeling 15 The Lindy effect 16 Randomness versus causality 17 Collective intelligence
The AREAER provides a comprehensive description of restrictions on international trade and payments, capital controls, and measures implemented in the financial sector, including prudential measures that may affect capital flows for all IMF members. It also provides information on the classification of their exchange rate arrangements, operation of foreign exchange markets, restrictions on current international payments and transfers and multiple currency practices subject to the IMF’s jurisdiction in accordance with Article VIII. Descriptions of individual member countries are available at AREAER Online.
Shifts in the age composition of the workforce coupled with dynamic definitions of retirement represent important issues that influence work processes and, more generally, the experience of working across one’s career. For example, redefinitions of careers and the changing nature of working have contributed to the emergence of distinct forms and patterns of work experiences across the prototypical work lifespan. Likewise, older individuals are increasingly delaying retirement in favor of longer-term labor force participation. The study of age and work, and work and retirement by industrial, work, and organizational (IWO) psychologists and scholars of human resources management and organizational behavior (HR/OB) has recently proliferated in part as a result of such trends, along with the recognition that age-related processes are important indicators of various proximal (e.g., job attitudes, work behaviors, work motives, and wellbeing) and distal outcomes (e.g., sustainable employability, climates for aging, and firm performance) at various levels of abstraction in modern work environments. Recent theoretical advances have suggested that age, along with individual psychological factors and various contextual influences can jointly influence work outcomes that contribute to long-term employment success, including work performance, job attitudes, work orientations, and motivations. Similar theoretical developments concerning retirement have postulated individual and contextual elements that drive success in the transition from career and work roles to non-work and leisure as well as post-retirement bridge employment roles. In this Research Topic, we aim to curate a collection of papers that are representative of current trends and advances in thinking about and investigating the role of age in workplace processes and the changing nature of retirement. Our hope is to showcase various contemporary ideas and rigorous empirical studies as a means to inform broader thinking and to support enhanced theorizing and organizational practice regarding these processes.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results