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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ruiz Conde, Enar Leeflang, Peter S.H. Wieringa, Jaap E. |
| Copyright Year | 2006 |
| Abstract | Macro-level diffusion models are developed for capturing the typical market sales pattern of a new product when it goes through the subsequent stages of the product life cycle. These models are commonly criticized for the implicit consideration of the effects of marketing variables (such as price and advertising) on the diffusion process. Explicit inclusion of marketing variables in diffusion models does not only provide a better description of reality but also has important managerial implications: potentially it may provide directions for how to alter the diffusion process by manipulation of the marketing variables. Robinson and Lakhani (1975) were the first to include marketing variables in a diffusion model. Since their paper, a considerable number of studies in this area has appeared in the literature. In this study we review this body of research and classify the studies according to the way the marketing instruments affect the diffusion process. We distinguish between studies that accommodate marketing effects via external, internal and mixed influence, and/or via potential market size. We conclude that questions on which marketing variables to include, where and how to include them in the diffusion model are now answered for some specific situations. However, it is still not viable to formulate generalizations on the effect of marketing variables on the diffusion process. Diffusionsmodelle auf der Makroebene bilden die typischen Absatzmuster eines neuen Produktes in den Phasen des Produktlebenszyklus ab. Diese Modelle werden häufig wegen der impliziten Berücksichtigung der Effekte von Marketingmix-Variablen (wie Preis und Werbung) auf den Diffusionsprozess kritisiert. Die explizite Einbeziehung von Marketingvariablen in Diffusionsmodelle führt nicht nur zu einer besseren Abbildung der Realität, sondern ermöglicht auch die Ableitung relevanter praktischer Implikationen: Die Modelle können Hinweise darauf geben, wie der Diffusionsprozess durch Marketingvariablen geändert werden kann. Robin und Lakhani (1975) haben als erste Marketingvariablen in einem Diffusionsmodell berücksichtigt. Seitdem ist eine beträchtliche Anzahl an Studien zu diesem Thema erschienen. In diesem Beitrag wird ein Überblick über diese Forschungsrichtung vermittelt, wobei die Studien danach klassifiziert werden, wie die Marketinginstrumente im Diffusionsprozess berücksichtigt werden. Es wird dabei zwischen Studien, die die Effekte der Marketinginstrumente über ihre externe und interne Wirkung einbeziehen, gemischte Studien und Studien, die die Wirkung über das Marktpotenzial abbilden, unterschieden. Daraus ist abzuleiten, dass die Frage, welche Marketingvariable wann und wie im Diffusionsmodell zu berücksichtigen ist, für einige, spezifische Situationen geklärt ist. Generalisierungen im Hinblick auf den Einfluss von Marketingvariablen im Diffusionsprozess sind allerdings immer noch nicht möglich. |
| Starting Page | 155 |
| Ending Page | 183 |
| Page Count | 29 |
| File Format | |
| ISSN | 03449327 |
| Journal | Journal für Betriebswirtschaft |
| Volume Number | 56 |
| Issue Number | 3 |
| e-ISSN | 1614631X |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2006-10-11 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | Marketingmixvariablen Diffusionsmodelle Business/Management Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | 1400/1401 Strategy and Management |
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