H. Tawney addresses the question of how religion has affected social and economic practices. He tracks the influence of religious thought on capitalist economy and ideology since the Middle Ages, shedding light on the question of why Christianity continues to exert a unique role in the marketplace. In so doing, the book offers an incisive analysis of the morals and mores of contemporary Western culture.Religion and the Rise of Capitalism is more pertinent now than ever, as today the dividing line between the spheres of religion and secular business is shifting, blending ethical considerations with the motivations of the marketplace. By examining the period that saw the transition from medieval to modern theories of social organization, Tawney clarifies the most pressing problems of the end of the century. In tough, muscular, richly varied prose, he tells an absorbing and meaningful story. And in his new introduction, which may well be a classic in its own right, Adam Seligman details Tawney's background and the current status of academic thought on these issues, and he provides a comparative analysis of Tawney with Max Weber that will at once delight and inform readers.

    The 11th edition of this text continues to build on four major marketing themes: building and managing profitable customer relationships, building and managing strong brands to create brand equity, harnessing new marketing technologies in the digital age, and marketing in a socially responsible way around the globe.

    Lavishly illustrated with Dilbert strips, these hilarious essays on incompetent bosses, management fads, bewildering technological changes and so much more, will make anyone who has ever worked in an office laugh out loud in recognition. The Dilbert Principle: The most ineffective workers will be systematically moved to the place where they can do the least damage -- management.Since 1989, Scott Adams has been illustrating this principle each day, lampooning the corporate world through Dilbert, his enormously popular comic strip. In Dilbert, the potato-shaped, abuse-absorbing hero of the strip, Adams has given voice to the millions of Americans buffeted by the many adversities of the workplace.Now he takes the next step, attacking corporate culture head-on in this lighthearted series of essays. Packed with more than 100 hilarious cartoons, these 25 chapters explore the zeitgeist of ever-changing management trends, overbearing egos, management incompetence, bottomless bureaucracies, petrifying performance reviews, three-hour meetings, the confusion of the information superhighway and more. With sharp eyes, and an even sharper wit, Adams exposes -- and skewers -- the bizarre absurdities of everyday corporate life. Readers will be convinced that he must be spying on their bosses, The Dilbert Principle rings so true!

    Becoming an expert on the apartment syndication terminology2. Setting a specific, quantifiable goal and creating a long-term, motivating vision3. Building a powerful brand that attracts passive investors4. Evaluating and selecting the real estate market that will be the launching point for your apartment empire5. Surrounding yourself with an all-star real estate team6. Tapping into your existing network to find passive investors7. Creating a lead generation machine that pumps out qualified off-market apartment deals8. Selecting the ideal business plan to maximize returns to passive investors9. Learning the science behind evaluating, qualifying and submitting offers on apartment deals10. Preparing and presenting an apartment offering to your passive investors and securing financial commitments11. Impressing your investors by effectively implementing the business plan and exceeding their return expectations

    Yet these beliefs are largely based on guesswork and incomplete data and lead to costly errors in judgment. Now, internationally renowned innovation expert Clayton M. Christensen and his research partners Scott D. Anthony and Erik A. Roth present a groundbreaking framework for predicting outcomes in the evolution of any industry. Based on proven theories outlined in Christensen's landmark books The Innovator's Dilemma and The Innovator's Solution, Seeing What's Next offers a practical, three-part model that helps decision-makers spot the signals of industry change, determine the outcome of competitive battles, and assess whether a firm's actions will ensure or threaten future success. Through in-depth case studies of industries from aviation to health care, the authors illustrate the predictive power of innovation theory in action.

    Parts cover: Windows 8.1 Stuff Everybody Thinks You Already Know - an introduction to the dual interfaces, basic mechanics, file storage, and instruction on how to get the free upgrade to Windows 8.1.Working with Programs, Apps and Files - the basics of finding and launching apps, getting help, and printingGetting Things Done on the Internet - instructions for connecting a Windows 8.1 device, using web and social apps, and maintaining privacyCustomizing and Upgrading Windows 8.1 - Windows 8.1 offers big changes to what a user can customize on the OS. This section shows how to manipulate app tiles, give Windows the look you in, set up boot-to-desktop capabilities, connect to a network, and create user accounts.Music, Photos and Movies - Windows 8.1 offers new apps and capabilities for working with onboard and online media, all covered in this chapterHelp! - includes guidance on how to fix common problems, interpret strange messages, move files to a new PC, and use the built-in help systemThe Part of Tens - quick tips for avoiding common annoyances and working with Windows 8.1 on a touch device

    If it takes a book to get it across, I hope this book will do it. It ought to.”—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).

    But he didn't stay there for long. By believing in himself enough to take a chance, he became a winner who today heads his own muti-million dollar invidual life insurance company. And in this bestselling, plain-speaking, up-beat book he coaches you to the top with his winning system, which includes: a remarkable six-step plan to visualize and achieve your goals; four proven principles to help you become everytihng you ever thought you could be; proven techniques to short-circuit frustrating failure messages; frontline advice from someone whose been in your shoes, PLUS, the ultimate secret ingredient to winning. This is not a get-rich-quick scheme, or a pie-in-the-sky promise, but a phenomenal program that proves it's never too late to start again, with powerful tools and a revolutionary belief in your own unlimited potential.

    John Naisbitt gives away the keys to the kingdom, opening the door to the insights that let him understand today's world and see the opportunities of tomorrow. He selects his most effective tools, 11 Mindsets, and applies them by guiding the reader through the five forces that will dominate the next decades of the twenty-first century.Illustrated by stories about Galileo and Einstein to today's icons and rebels in business, science, and sports, Mind Set! opens your eyes to see beyond media headlines, political slogans, and personal opinions to select and judge what will form the pictures of the future.

    Now revised and updated to include expanded coverage of monetary policy, this volume traces the history of macroeconomics and the evolution of macroeconomic thought and the resulting theory and policy.

    The text offers a strong finance foundation focusing on Internet resources and sample number problems, cases, and calculator solutions using a Microsoft Excel appendix. The text introduces the time value of money using three approaches to reinforce the concept--interest tables, financial calculator keystrokes, and investment analysis calculator software created specifically for the Mayo books.

    Across the nation cities and metropolitan areas, and the networks of pragmatic leaders who govern them, are taking on the big issues that Washington won't, or can't, solve. They are reshaping our economy and fixing our broken political system."The Metropolitan Revolution" is a national movement, and the book describes how it is taking root in New York City, where efforts are under way to diversify the city's vast economy; in Portland, Oregon, which is selling the sustainability solutions it has perfected to other cities around the world; in Northeast Ohio, where groups are using industrial-age skills to invent new twenty-first-century materials, tools, and processes; in Houston, where a modern settlement house helps immigrants climb the employment ladder; in Miami, where innovators are forging strong ties with Brazil and other nations; in Denver and Los Angeles, where leaders are breaking political barriers and building world-class metropolises; and in Boston and Detroit, where innovation districts are hatching ideas to power these economies for the next century.Bruce Katz and Jennifer Bradley highlight these success stories and the people behind them in order to share lessons and catalyze action. This revolution is happening, and every community in the country can benefit.

    Why doesn’t the government simply print more money so that everyone has enough? Who decides that seventy Indian rupees equal one American dollar? How do you figure out what to price a glass of lemonade at the Diwali mela? Are economists really as boring as they look? For answers to these and other mystifying questions, look no further than this fun book! (Psst! You may even catch your adults sneaking a peek inside!).

    Or sunflowers. (Though it does wax lyrical about some stunning Alpine scenery . . . and, with the race starting in Yorkshire, even some stunning scenery not far from Bradford).From Leeds to Paris (how often do you say that?), Ned details the minutiae of his encounters with the likes of Vincenzo Nibali, David Millar, Chris Froome, Chris Boardman (or ‘Broadman’ as some would have it), Marcel Kittel, Mrs Cavendish (Mark’s wife), Peter Sagan and the rest. Their endeavours, achievements, humour and occasional rancour, sit alongside his own decade-long quest for the ideal end-of-race T-shirt.Ned weaves together the interesting, amusing and unheralded threads of the race itself, and reflects on his own perennial struggle to get round, get on and get by. 101 Damnations encapsulates all that is incredible – and incredibly ordinary – about the greatest race on earth.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.