E-Book Overview
This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
E-Book Content
Miguel Ángel Canela · Inés Alegre · Alberto Ibarra Quantitative Methods for Management A Practical Approach Quantitative Methods for Management Miguel Ángel Canela • Inés Alegre Alberto Ibarra • Quantitative Methods for Management A Practical Approach 123 Miguel Ángel Canela IESE Business School Barcelona, Spain Inés Alegre IESE Business School Barcelona, Spain Alberto Ibarra IPADE Business School Mexico City, Mexico ISBN 978-3-030-17553-5 ISBN 978-3-030-17554-2 https://doi.org/10.1007/978-3-030-17554-2 (eBook) © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Preface More than ever, managers are expected to perform data-driven decision-making in their organizations. We intend to contribute to that trend with a short book which presents some quantitative methods which are frequently used in managerial settings. Recent developments in the software industry have greatly enlarged the computational capabilities for data analysis purposes. This has facilitated incorporating quantitative methods into all business areas in order to solve interesting questions such as do we have a gender pay-gap in our firm? Can we