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  • Corporate Strategy, Module Note

    This note provides an overview of strategies for multi-business firms. The note describes (i) what is meant by "corporate advantage", (ii) the different approaches that multi-business firms can pursue in order to create corporate advantage, (iii) the specific corporate level choices (portfolio, ownership, and organizational choices) that firms make, (iv) certain principles that characterize effective corporate level strategy, and (v) reasons why corporate strategies can fail. In its treatment and coverage of these issues, the note emphasizes similarities between the core principles of business unit strategy and of corporate level strategy.
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  • How to Better Frame Problems

    Before managers can solve problems or take advantage of opportunities that may arise in their businesses, they must frame those problems or opportunities. Typically, leaders identify and frame problems intuitively and without much conscious deliberation. Framing problems is more an art than a science. It is also profoundly linked with the way our brains work, especially the intuitive processes we use to make sense of the world around us. This technical note illustrates how this process unfolds and how one can find a better frame, thus discovering actions that actually work to solve problems.
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  • Communicating in Organizations in the Digital Age

    Internal communication in organizations has been significantly changing under the influence of the latest advancements in the digital space. Recently published research suggests that the majority of companies use internal communication for a variety of purposes, including helping employees understand the business and providing performance information. This technical note examines the importance of social media used for internal purposes, provides relevant examples from companies taking leading positions in adopting social media technologies, and presents an overview of the existing internal social media tools that are commonly used in organizations.
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  • Note on Project Management

    Whether you are constructing a new building, installing a new computer, or introducing a new product to the market, you are using project management strategies to get from A to B. This note concentrates on the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT). By reading this note, students will find that these techniques have been designed to ensure high-quality projects are completed on time and on budget.
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  • Strategy and Strategic Decisions

    This note introduces a framework for formulating strategy that helps a manager identify which decisions are strategic-and thus which decisions to focus on (both when developing strategy and when executing it)-and that provides a practical test for whether a particular set of choices is a strategy. The framework is based on the definition of strategy as "the smallest set of choices to optimally guide the other choices."
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  • Practical Regression: Convincing Empirical Research in Ten Steps

    This is the first in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This technical note introduces students to the essential elements of convincing empirical research using regression. Students who read this note will be prepared to perform an unstructured research project. The note presents ten essential steps in research, starting with model development and ending with presentation of results. Coverage is given to important subjects such as identification and model robustness.
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  • Practical Regression: Regression Basics

    This is the second in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This technical note reviews the basic elements of regression analysis. Students who read this note will be able to explain the fundamental principals of regression, including (1) regression as an alegbraic equation; (2) dummy variables and nonlinear terms; (3) R-squared and goodness of fit; and (4) reporting the significance and economic importance of regression coefficients. Having completed this note, students will be prepared to study the special topics in regression that are covered in other notes in this series.
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  • Practical Regression: Fixed Effects Models

    This is the fifth in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This technical note discusses fixed effects models. Though a unified example, the note shows how omitted variable bias can plague estimates in cross-section regressions and how focusing attention on intragroup ("within") variation over time can allow for identification of regression coefficients that are free of potential bias. The note demontrates the mathematical principles behind fixed effects modeling and also explains why, in some cases, it may be preferable not to include fixed effects.
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  • Practical Regression: Noise, Heteroskedasticity, and Grouped Data

    This is the sixth in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This note begins by describing the problems that arise when variables are measured with noise. The note progresses to explain how to test for and correct heteroskedasticity. It also explains why it is necessary to adjust standard errors when working with grouped data.
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  • Practical Regression: Log vs. Linear Specification

    This is the seventh in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This note explains how to choose between log and linear specification. The note emphasizes the economic interpretation of a log model and how to interpret coefficients in a log regression. The note concludes by explaining how to choose between log and linear specifications on econometric grounds, including an explanation of the Box-Cox test.
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  • Practical Regression: Time Series and Autocorrelation

    This is the twelfth in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This technical note discusses time-series data. The note explains the concept of a time trend and how to capture the trend using regression. Most of the note is devoted to the problem of autocorrelation. The note concludes by discussing the use of leads and lags as predictor variables.
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  • Practical Regression: Causality and Instrumental Variables

    This is the tenth in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. This note uses the theory of "supplier-induced demand" from health economics to illustrate key issues including reverse causality, the role of instrumental variables in establishing causality, and the characteristics of good instruments.
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  • Practical Regression: From "Stylized Facts" to Benchmarking

    This is the eleventh in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice. Using an extended example on hospital lengths of stay, the note explains how to "deconstruct" a regression in order to parse out how each variable contributes to the overall result. Regression is viewed as an exercise in "benchmarking"-explaining why some observations in the data "outperform" or "underperform" others. The residual is viewed as a potential measure of managerial effectiveness, albeit one that must be treated with caution. The note provides step-by-step instructions for using regression for benchmarking.
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  • Frameworks for Dialogue and Research about Social Impact Investing

    Social Impact Investment is a rapidly expanding field, but terminology in the field is poorly defined and imprecise. This note suggests frameworks that help to clarify important dimensions of SII projects, distinguishing and clarifying key differences in approaches to social impact investments undertaken by different organizations and funders.
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  • Innovation Magic

    Why do certain product and service experiences seem like magic, making them all but destined for success, while other items languish on store shelves? For a better understanding of that, perhaps there's no better place to turn to than the world of magic. Consider that some professional magicians are constantly under pressure to come up with new "effects" that will wow the audience and ultimately result in a transformational customer experience. As such, these magicians can't just be innovative on a whim; they must have a systematic way of doing so on a regular basis. The note provides some practical insights into a process of creation that is common to both the "tricks" that awe a spellbound audience, and what companies need to do to give customers unforgettable product and service experiences.
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  • Managing Stakeholders with Corporate Social Responsibility, Course Overview

    The note articulates the ways in which strong stakeholder-company relationships developed through corporate social responsibility initiatives and other types of social strategies deliver bottom line benefits. The analysis follows stakeholder logic models connecting the impact of CSR initiatives on a stakeholder group (employees, customers, investors, government, the community, and suppliers) and its effects on company revenues, costs and market value.
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  • Practical Regression: Maximum Likelihood Estimation

    This is the eighth in a series of lecture notes which, if tied together into a textbook, might be entitled "Practical Regression." The purpose of the notes is to supplement the theoretical content of most statistics texts with practical advice based on nearly three decades of experience of the author, combined with over one hundred years of experience of colleagues who have offered guidance. As the title "Practical Regression" suggests, these notes are a guide to performing regression in practice.This technical note discusses maximum likelihood estimation (MLE). The note explains the concept of goodness of fit and why MLE is a powerful alternative to R-squared. The note follows a simple example that develops the intuition of MLE as well as the computation of the likelihood score and the algorithm used to estimate coefficients in MLE models.
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  • RC Strategy--Global Strategy Module Note

    Conceptual note that describes effective global strategy.
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  • Personal Charter Exercise

    This exercise provides a structure for creating a personal charter for personal use. Based on the "Personal and Organizational Charters" chapter from Level Three Leadership
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  • Credit Rating Agency Reform in the US and EU

    The purpose of this note is to explore reform options for the credit rating industry. The note examines the ways in which credit rating agencies contributed to the recent financial crisis, particularly through ratings of securitized products and sovereign debt. It further describes changes already enacted by the US and the EU, as well as other reform proposals considered by lawmakers.
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