Market Response Models: Econometric and Time Series Analysis:
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 technica...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1990
|
| Ausgabe: | 1st ed. 1990 |
| Schriftenreihe: | International Series in Quantitative Marketing
2 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-94-009-1073-7 https://doi.org/10.1007/978-94-009-1073-7 |
| Zusammenfassung: | 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 |
| Umfang: | 1 Online-Ressource (400 p) |
| ISBN: | 9789400910737 |
| DOI: | 10.1007/978-94-009-1073-7 |
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Datensatz im Suchindex
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| author | Hanssens, Dominique M. Parsons, Leonard J. Schultz, Randall L. |
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| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-94-009-1073-7 |
| edition | 1st ed. 1990 |
| format | Electronic eBook |
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| id | DE-604.BV046873298 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:03:23Z |
| institution | BVB |
| isbn | 9789400910737 |
| language | English |
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| publisher | Springer Netherlands |
| record_format | marc |
| series2 | International Series in Quantitative Marketing |
| spelling | Hanssens, Dominique M. Verfasser aut Market Response Models: Econometric and Time Series Analysis by Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz 1st ed. 1990 Dordrecht Springer Netherlands 1990 1 Online-Ressource (400 p) txt rdacontent c rdamedia cr rdacarrier International Series in Quantitative Marketing 2 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 Marketing Econometrics Operations Research/Decision Theory Operations research Decision making Ökonometrie (DE-588)4132280-0 gnd rswk-swf Marketing (DE-588)4037589-4 gnd rswk-swf Absatzprognose (DE-588)4252783-1 gnd rswk-swf Marketingmodell (DE-588)4168909-4 gnd rswk-swf Marktreaktionsfunktion (DE-588)4323157-3 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Marktforschung (DE-588)4037630-8 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 s Ökonometrie (DE-588)4132280-0 s Marketing (DE-588)4037589-4 s DE-604 Absatzprognose (DE-588)4252783-1 s Ökonometrisches Modell (DE-588)4043212-9 s Marktforschung (DE-588)4037630-8 s Modell (DE-588)4039798-1 s Marktreaktionsfunktion (DE-588)4323157-3 s Marketingmodell (DE-588)4168909-4 s Parsons, Leonard J. aut Schultz, Randall L. aut Erscheint auch als Druck-Ausgabe 9789401069724 Erscheint auch als Druck-Ausgabe 9780792390138 Erscheint auch als Druck-Ausgabe 9789400910744 https://doi.org/10.1007/978-94-009-1073-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Hanssens, Dominique M. Parsons, Leonard J. Schultz, Randall L. Market Response Models: Econometric and Time Series Analysis Marketing Econometrics Operations Research/Decision Theory Operations research Decision making Ökonometrie (DE-588)4132280-0 gnd Marketing (DE-588)4037589-4 gnd Absatzprognose (DE-588)4252783-1 gnd Marketingmodell (DE-588)4168909-4 gnd Marktreaktionsfunktion (DE-588)4323157-3 gnd Modell (DE-588)4039798-1 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Marktforschung (DE-588)4037630-8 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| subject_GND | (DE-588)4132280-0 (DE-588)4037589-4 (DE-588)4252783-1 (DE-588)4168909-4 (DE-588)4323157-3 (DE-588)4039798-1 (DE-588)4043212-9 (DE-588)4037630-8 (DE-588)4067486-1 |
| title | Market Response Models: Econometric and Time Series Analysis |
| title_auth | Market Response Models: Econometric and Time Series Analysis |
| title_exact_search | Market Response Models: Econometric and Time Series Analysis |
| title_full | Market Response Models: Econometric and Time Series Analysis by Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz |
| title_fullStr | Market Response Models: Econometric and Time Series Analysis by Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz |
| title_full_unstemmed | Market Response Models: Econometric and Time Series Analysis by Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz |
| title_short | Market Response Models: Econometric and Time Series Analysis |
| title_sort | market response models econometric and time series analysis |
| topic | Marketing Econometrics Operations Research/Decision Theory Operations research Decision making Ökonometrie (DE-588)4132280-0 gnd Marketing (DE-588)4037589-4 gnd Absatzprognose (DE-588)4252783-1 gnd Marketingmodell (DE-588)4168909-4 gnd Marktreaktionsfunktion (DE-588)4323157-3 gnd Modell (DE-588)4039798-1 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Marktforschung (DE-588)4037630-8 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd |
| topic_facet | Marketing Econometrics Operations Research/Decision Theory Operations research Decision making Ökonometrie Absatzprognose Marketingmodell Marktreaktionsfunktion Modell Ökonometrisches Modell Marktforschung Zeitreihenanalyse |
| url | https://doi.org/10.1007/978-94-009-1073-7 |
| work_keys_str_mv | AT hanssensdominiquem marketresponsemodelseconometricandtimeseriesanalysis AT parsonsleonardj marketresponsemodelseconometricandtimeseriesanalysis AT schultzrandalll marketresponsemodelseconometricandtimeseriesanalysis |