Quantitative Methods for Management

Quantitative Methods for Management
Author: Miguel Ángel Canela
Publisher: Springer
Total Pages: 142
Release: 2019-07-03
Genre: Business & Economics
ISBN: 3030175545

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.

Quantitative Techniques in Business, Management and Finance

Quantitative Techniques in Business, Management and Finance
Author: Umeshkumar Dubey
Publisher: CRC Press
Total Pages: 573
Release: 2016-11-25
Genre: Mathematics
ISBN: 1315350076

This book is especially relevant to undergraduates, postgraduates and researchers studying quantitative techniques as part of business, management and finance. It is an interdisciplinary book that covers all major topics involved at the interface between business and management on the one hand and mathematics and statistics on the other. Managers and others in industry and commerce who wish to obtain a working knowledge of quantitative techniques will also find this book useful.

Quantitative Analysis for Management

Quantitative Analysis for Management
Author: Barry Render
Publisher: Allyn & Bacon
Total Pages: 920
Release: 1991
Genre: Business & Economics
ISBN:

Fully integrated with the personal computer, this easy-to-use book provides readers with the skills to necessary to apply the techniques of quantitative analysis in all kinds of organizational decision-making situations. It covers every major topic in the quantitative analysis/management science field, showing how each technique works, discussing the assumptions and limitations of the models, and illustrating the real-world usefulness of each technique with many applications and case studies in both profit-making and nonprofit organizations. A FREE CD-ROM readers can use to solve the examples presented in the book is conveniently packaged with the book providing Excel QM, Crystal Ball, TreePlan, QM for Windows and data files for examples. Probability Concepts and Applications, Decision Theory, Decision Trees with Utility Theory, Forecasting, Inventory Control Models, Linear Programming Models, Linear Programming: The Simplex Method. Transportation and Assignment Models, Integer Programming, Goal Programming, Non Linear Programming, and Branch and Bound Models, Analytic Hierarchy Process, Network Models, Project Management, Waiting Lines and Queuing Theory Models, Simulation Modeling, Markov Analysis, Using QM for Windows, Using Excel OM. Appropriate for business managers and analysts.

Analysing Quantitative Survey Data for Business and Management Students

Analysing Quantitative Survey Data for Business and Management Students
Author: Jeremy Dawson
Publisher: SAGE
Total Pages: 128
Release: 2016-11-10
Genre: Business & Economics
ISBN: 1473952832

In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.