Download or read book Choice Models in Marketing written by Sandeep R. Chandukala and published by Now Publishers Inc. This book was released on 2008 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choice Models in Marketing examines recent developments in the modeling of choice for marketing and reviews a large stream of research currently being developed by both quantitative and qualitative researches in marketing. Choice in marketing differs from other domains in that the choice context is typically very complex, and researchers' desire knowledge of the variables that ultimately lead to demand in marketplace. The marketing choice context is characterized by many choice alternatives. The aim of Choice Models in Marketing is to lay out the foundations of choice models and discuss recent advances. The authors focus on aspects of choice that can be quantitatively modeled and consider models related to a process of constrained utility maximization. By reviewing the basics of choice modeling and pointing to new developments, Choice Models in Marketing provides a platform for future research.

Download or read book The History of Marketing Science written by Russell S Winer and published by World Scientific. This book was released on 2014-06-27 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of marketing science has a rich history of modeling marketing phenomena using the disciplines of economics, statistics, operations research, and other related fields. Since it is roughly 50 years from its origins, The History of Marketing Science is a timely review of the accomplishments of marketing scientists in a number of research areas. Different research areas of marketing science, such as Pricing, Internet Marketing, Diffusion Models, and Advertising, are treated to a highly readable and easy-to-digest historical analysis by the contributing authors. Each chapter provides a chronological timeline of key historical developments in the area of marketing science covered. Readers of other disciplinary backgrounds outside of economics, statistics, and operations research will be more than able to appreciate the development of marketing science as a field of research and its pioneers through the book. Contents:The History of Marketing Science: Beginnings (Scott A Neslin and Russell S Winer)Methods:Brand Choice Models (Gary J Russell)Conjoint Analysis (Vithala R Rao)Innovation Diffusion (Eitan Muller)Econometric Models (Dominique M Hanssens)Market Structure Research (Steven M Shugan)Stochastic Models of Buyer Behavior (Peter S Fader, Bruce G S Hardie and Subrata Sen)Management:Advertising Effectiveness (Gerard J Tellis)Branding and Brand Equity Models (Tulin Edem and Joffre Swait)Distribution Channels (Richard Staelin and Eunkyu Lee)Customer Relationship Management (CRM) (Scott A Neslin)Digital and Internet Marketing (Wendy W Moe and David A Schweidel)New Products Research (Donald R Lehmann and Peter N Golder)Organizational Buying Behavior (Gary L Lilien)Pricing (Russell S Winer)Sales Force Productivity Models (Murali K Mantrala)Sales Promotions (Kusum L. Ailawadi and Sunil Gupta) Readership: Students of marketing science; researchers in the science of marketing; and general public interested in 50 years of marketing science history. Key Features:Provides a roadmap of the development of 16 areas of marketing science that is useful from a historical perspective and identifies the important gaps in the literature that can provide an impetus for future researchA great resource for the main consumers of the academic marketing research literature: doctoral students, faculty, and marketing science practitioners in consulting firms and companiesEmphasizes both the role and the importance that pioneers in marketing science have had in the rapid development of the field over the past 50 yearsKeywords:Marketing;Marketing Science;Marketing Models;Quantitative Analysis;History of Marketing

Download or read book Handbook of Marketing Decision Models written by Berend Wierenga and published by Springer Science & Business Media. This book was released on 2008-09-05 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.

Download or read book R for Marketing Research and Analytics written by Chris Chapman and published by Springer. This book was released on 2015-03-09 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.

Download or read book Discrete Choice Theory of Product Differentiation written by Simon P. Anderson and published by MIT Press. This book was released on 1992 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The discrete choice approach provides an ideal framework for describing the demands for differentiated products and can be used for studying most product differentiation models in the literature. By introducing extra dimensions of product heterogeneity, the framework also provides richer models of firm location and product selection."--BOOK JACKET.

Download or read book Choice Models in Marketing written by Sandeep R. Chandukala and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a review of choice models in marketing from the perspective of a utility maximizing consumer subject to budgetary restrictions. Marketing models of choice have undergone many transformations over the last 20 years, and the advent to hierarchical Bayes models indicate that simple, theoretically grounded models work well when applied to understanding individual choices. Thus, we use economic theory to provide the foundation from which future trends are discussed. We begin our discussion with descriptive models of choice that raises a number of debatable issues for model improvement. We then look to economic theory as a basis for guiding model development, and conclude with a discussion of promising areas for future work.

Download or read book Statistics for Marketing and Consumer Research written by Mario Mazzocchi and published by SAGE. This book was released on 2008-05-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots) - 136 multiple choice questions for tests This is augmented by in-depth discussion of topics including: - Sampling - Data management and statistical packages - Hypothesis testing - Cluster analysis - Structural equation modelling

Download or read book Building Models for Marketing Decisions written by Peter S.H. Leeflang and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual outcomes should be very attractive to (marketing) decision makers. Thus, appropriately constructed models can provide insights about structural relations between marketing variables. Since models explicate the relations, both the process of model building and the model that ultimately results can improve the quality of marketing decisions. Managers often use rules of thumb for decisions. For example, a brand manager will have defined a specific set of alternative brands as the competitive set within a product category. Usually this set is based on perceived similarities in brand characteristics, advertising messages, etc. If a new marketing initiative occurs for one of the other brands, the brand manager will have a strong inclination to react. The reaction is partly based on the manager's desire to maintain some competitive parity in the mar keting variables.

Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

Download or read book Discrete Choice Analysis written by Moshe Ben-Akiva and published by MIT Press. This book was released on 2018-04-20 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.

Download or read book Handbook of Marketing Decision Models written by Berend Wierenga and published by Springer. This book was released on 2017-07-12 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of this book presents the state of the art in this important field. Marketing decision models constitute a core component of the marketing discipline and the area is changing rapidly, not only due to fundamental advances in methodology and model building, but also because of the recent developments in information technology, the Internet and social media. This Handbook contains eighteen chapters that cover the most recent developments of marketing decision models in different domains of marketing. Compared to the previous edition, thirteen chapters are entirely new, while the remaining chapters represent complete updates and extensions of the previous edition. This new edition of the Handbook has chapters on models for substantive marketing problems, such as customer relationship management, customer loyalty management, website design, Internet advertising, social media, and social networks. In addition, it contains chapters on recent methodological developments that are gaining popularity in the area of marketing decision models, such as structural modeling, learning dynamics, choice modeling, eye-tracking and measurement. The introductory chapter discusses the main developments of the last decade and discusses perspectives for future developments.

Download or read book Discrete Choice Experiments in Marketing written by Klaus Zwerina and published by Physica. This book was released on 1997-10-14 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a general framework for the construction of statistically efficient choice designs. It reviews previous strategies researchers have used to generate reasonable choice designs, develops criteria for efficiency when one has prior information about the model parameters, specifies general search algorithms for generating efficient choice designs, and finally, uses this knowledge to develop and test individual-level choice models. The book is of interest to researchers and practitioners in marketing science, economics, and statistics.

Download or read book Modeling Markets written by Peter S.H. Leeflang and published by Springer. This book was released on 2014-11-12 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.

Download or read book Valuing Environmental Amenities Using Stated Choice Studies written by Barbara J. Kanninen and published by Springer Science & Business Media. This book was released on 2007-05-31 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides practical, research-based advice on how to conduct high-quality stated choice studies. It covers every aspect of the topic, from planning and writing the survey, to analyzing results, to evaluating quality. There is no other book on the market today that so thoroughly addresses the methodology of stated choice. Chapters are written by top-notch academics and practitioners in an accessible style, offering practical, tough advice.

Download or read book Choice Modelling written by Stephane Hess and published by Edward Elgar Publishing. This book was released on 2013-01-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'This collection of papers, by leading researchers in the field, provides an excellent view of the current state of research and applications. Exciting new techniques are presented, and realistic solutions are offered to issues that arise in applied work. It is an admirably rich volume, offering valuable insights for all readers of choice modeling.' Kenneth Train, University of California, Berkeley and NERA Economic Consulting, Inc., San Francisco, California, US 'I'm an enthusiastic fan of the ICMC, where researchers are friendly, genuinely interested in learning from and helping one another. There is much to learn because each discipline brings a different perspective to the field and to theoretical and applied problems in decision-making and choice behavior. The ICMC embodies the philosophy that most real choice problems are complex and require a cross-disciplinary approach. The papers in this volume represent an eclectic cross-section of the topics covered by key researchers in the field. I look forward to getting our PhD students and postdocs stuck into them.' Jordan Louviere, University of Technology Sydney, Australia Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference. Choice models explain the behaviour of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy. The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.

Download or read book Handbook of Choice Modelling written by Stephane Hess and published by Edward Elgar Publishing. This book was released on 2014-08-29 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for d

Download or read book Stated Choice Methods written by Jordan J. Louviere and published by Cambridge University Press. This book was released on 2000-09-28 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multidisciplinary graduate and practitioner guide, first published in 2000, which offers the theory and application of stated choice methods.