Market Response Models: Econometric and Time Series Analysis (International Series in Quantitative Marketing, 12)

<p>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.</p>

Business & Money

Parsons, Leonard J.

Hanssens, Dominique M.

Schultz, Randall L.

Economics

Springer

<p>Marketing and Firm Value presents a conceptual framework and procedure to synthesize the marketing-finance literature. The authors identify marketing-finance metrics and methods used. For researchers, it provides an overview of metrics, methods, and findings and a practical roadmap for how to conduct marketing-finance research including an agenda for future research. For marketing executives, the monograph provides insights on the strongest drivers of firm value. Further it provides an understanding of the potential of marketing to reconcile the objectives of at least two stakeholders (customers and shareholders) and possibly more (employees and communities). For the investor community, it offers insights on how to incorporate information from various marketing signals in their investment decisions and shows how marketing-based valuation methods can be used to evaluate entire businesses.</p>

Marketing and Firm Value (Foundations and Trends(r) in Marketing)

Srinivasan, Shuba

Marketing & Sales

Now Publishers

This book reports over a decade's worth of research on the development of empirical response models that have important uses for generating marketing knowledge and improving marketing decisions. Some of its contributions to marketing are the following: 1. It integrates state-of-the art technical material with discussions of its relevance to management. 2. It provides continuity to a research stream over 20 years old. 3. It illustrates how marketing generalizations are the basis of marketing theory and marketing knowledge. 4. It shows how the research can be applied to marketing planning and forecasting. 5. It presents original research in marketing. The book addresses both marketing researchers and marketing managers. This can be done because empirical decision models are helpful in practice and are also based on theories of response. Econometric and time series analysis (ETS) is one of the few areas in marketing where there is little, if any, conflict between the academic sphere and the world of professional practice. Market Response Models is a sequel to Marketing Models and Econometric Research, published in 1976. It is rare for a research-oriented book in market ing to be updated or to have a sequel. Unlike many other methodologies, ETS research in marketing has stood the test of time. It remains the main method for discovering relations among marketing variables.

Market Response Models: Econometric and Time Series Analysis (International Series in Quantitative Marketing)

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