Quantitative Analysis In Marketing Management
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Author | : Luiz Moutinho |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2000-05-18 |
Genre | : Business & Economics |
ISBN | : 9780471964308 |
Quantitative marketing is not an easy subject to grasp. Quantitative Analysis in Marketing Management introduces a kinder, gentler approach to the various quantitative concepts and techniques in marketing management. This exciting new book examines techniques drawn from other management disciplines (e.g. financial management and operations management) and shows how these techniques can be applied to marketing management. To aid comprehension, a number of problems and case studies are included at the end of each chapter. The text is divided into three parts: * statistics, demand analysis and forecasting; * financial analysis, operations and control systems; and * future trends Quantitative Analysis in Marketing Management is suitable for undergraduate and MBA students enrolled in marketing management, market analysis and forecasting, strategic marketing, marketing research courses, together with MSc marketing courses.
Author | : Adamantios Diamantopoulos |
Publisher | : Springer Science & Business Media |
Total Pages | : 604 |
Release | : 2013-01-31 |
Genre | : Business & Economics |
ISBN | : 3834937223 |
Quantitative marketing has been gaining importance during the last decade. This is indicated by the growing number of model- and method-oriented studies published in leading journals as well as by the many successful applications of quantitative approaches in pricing, advertising, new product planning, and market segmentation decisions. In addition, market research has clearly benefitted from applying advanced quantitative models and methods in practice. Some 60 researchers – among them worldwide leading scholars – offer a broad overview of quantitative approaches in marketing. They not only highlight diverse mathematical and methodological perspectives, but also demonstrate the relevance and practical consequences of applying quantitative approaches to marketing problems.
Author | : Luiz Moutinho |
Publisher | : World Scientific |
Total Pages | : 569 |
Release | : 2015-11-06 |
Genre | : Business & Economics |
ISBN | : 9814696366 |
The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.The first edition of 'Quantitative Modelling in Marketing and Management' focused on the description and applications of many quantitative modelling approaches applied to marketing and management. The topics ranged from fuzzy logic and logical discriminant models to growth models and k-clique models.The second edition follows the thread of the first one by covering a myriad of techniques and applications in the areas of statistical, computer, mathematical as well as other novel nomothetic methods. It greatly reinforces the areas of computer, mathematical and other modeling tools that are designed to bring a level of awareness and knowledge among academics and researchers in marketing and management, so that there is an increase in the application of these new approaches that will be embedded in future scholarly output.
Author | : Mercedes Esteban-Bravo |
Publisher | : Cambridge University Press |
Total Pages | : 883 |
Release | : 2021-01-28 |
Genre | : Business & Economics |
ISBN | : 1108834981 |
Academically thorough and up-to-date quantitative and qualitative market research methods text for business and social science students.
Author | : Nunkoo, Robin |
Publisher | : Edward Elgar Publishing |
Total Pages | : 392 |
Release | : 2021-10-22 |
Genre | : Business & Economics |
ISBN | : 1788976959 |
Taking a multidisciplinary approach, this comprehensive Handbook comprises contributions from international researchers of diverse educational and research backgrounds. Chapters present methodological issues within marketing research, sharing the researchers’ experiences of what does and does not work, as well as discussing challenges and avenues for innovation.
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.
Author | : Charles Scherbaum |
Publisher | : SAGE |
Total Pages | : 296 |
Release | : 2015-02-12 |
Genre | : Business & Economics |
ISBN | : 1473917425 |
In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. 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.
Author | : Philip Hans Franses |
Publisher | : Cambridge University Press |
Total Pages | : 224 |
Release | : 2010-06-10 |
Genre | : Business & Economics |
ISBN | : 9780521143653 |
This book presents the most important and practically relevant quantitative models for marketing research. Each model includes a demonstration of the mechanics of the model, empirical analysis, real world examples, and an interpretation of results and findings. The reader will learn how to apply the techniques, as well as understand the latest methodological developments in the academic literature. Students and practitioners with differing numerical skills are guided through the book, although a knowledge of elementary numerical techniques is assumed.
Author | : Samuel E. Bodily |
Publisher | : Irwin Professional Publishing |
Total Pages | : 0 |
Release | : 1998 |
Genre | : Decision making |
ISBN | : 9780256147131 |
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.