Author: Patrick J. RobinsonPublisher:
ISBN:
Category : Sales promotion
Languages : en
Pages : 360
Book Description
Promotional Decisions Using Mathematical Models
Author: Patrick J. RobinsonPublisher:
ISBN:
Category : Sales promotion
Languages : en
Pages : 360
Book Description
Mathematical Models in Marketing
Author: Ursula H. FunkePublisher: Springer Science & Business Media
ISBN: 3642515657
Category : Mathematics
Languages : en
Pages : 534
Book Description
Mathematical models can be classified in a number of ways, e.g., static and dynamic; deterministic and stochastic; linear and nonlinear; individual and aggregate; descriptive, predictive, and normative; according to the mathematical technique applied or according to the problem area in which they are used. In marketing, the level of sophistication of the mathe matical models varies considerably, so that a nurnber of models will be meaningful to a marketing specialist without an extensive mathematical background. To make it easier for the nontechnical user we have chosen to classify the models included in this collection according to the major marketing problem areas in which they are applied. Since the emphasis lies on mathematical models, we shall not as a rule present statistical models, flow chart models, computer models, or the empirical testing aspects of these theories. We have also excluded competitive bidding, inventory and transportation models since these areas do not form the core of ·the marketing field.
Market Response Models
Author: Dominique M. HanssensPublisher: Springer Science & Business Media
ISBN: 0306475944
Category : Business & Economics
Languages : en
Pages : 507
Book Description
From 1976 to the beginning of the millennium—covering the quarter-century life span of this book and its predecessor—something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It’s not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.
Perspectives on Promotion and Database Marketing
Author: Robert C. BlattbergPublisher: World Scientific
ISBN: 9814287067
Category : Business & Economics
Languages : en
Pages : 332
Book Description
Pt. 1. Early Bob-- contributions to econometrics and marketing-- pt. 2. Statistical Bob-- contributions to statistical analysis in marketing -- pt. 3. Promotion Bob-- contributions to sales promotions -- pt. 4. Big Bob-- Contributions that were industry-changing
Promotional Decision Making: Practice and Theory
Author: Patrick J. RobinsonPublisher:
ISBN:
Category : Market surveys
Languages : en
Pages : 296
Book Description
Mathematical Models for Decision Support
Author: Harvey J. GreenbergPublisher: Springer Science & Business Media
ISBN: 3642835554
Category : Computers
Languages : en
Pages : 740
Book Description
It is quite an onerous task to edit the proceedings of a two week long institute with learned contributors from many parts of the world. All the same, the editorial team has found the process of refereeing and reviewing the contributions worthwhile and completing the volume has proven to be a satisfying task. In setting up the institute we had considered models and methods taken from a number of different disciplines. As a result the whole institute - preparing for it, attending it and editing the proceedings - proved to be an intense learning experience for us. Here I speak on behalf of the committee and the editorial team. By the time the institute took place, the papers were delivered and the delegates exchanged their views, the structure of the topics covered and their relative positioning appeared in a different light. In editing the volume I felt compelled to introduce a new structure in grouping the papers. The contents of this volume are organised in eight main sections set out below: 1 . Abstracts. 2. Review Paper. 3. Models with Multiple Criteria and Single or Multiple Decision Makers. 4. Use of Optimisation Models as Decision Support Tools. 5. Role of Information Systems in Decision Making: Database and Model Management Issues. 6. Methods of Artificial Intelligence in Decision Making: Intelligent Knowledge Based Systems. 7. Representation of Uncertainty in Mathematical Models and Knowledge Based Systems. 8. Mathematical Basis for Constructing Models and Model Validation.
Marketing Information Guide
Author: Marketing Decision Models
Author: Randall L. SchultzPublisher: North-Holland
ISBN:
Category : Business & Economics
Languages : en
Pages : 318
Book Description
Includes bibliographical references and index.
Sales Promotion
Author: Robert C. BlattbergPublisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 536
Book Description
Handbook of Marketing Decision Models
Author: Berend WierengaPublisher: Springer Science & Business Media
ISBN: 0387782133
Category : Business & Economics
Languages : en
Pages : 621
Book Description
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.