Endogenous Modeling of Late Entry Penalties for Packaged Goods Classic Reprint. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Forgotten Books, 2019
- Softcover
- Neu

Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in mit 5 Sternen
AbeBooks-Verkäufer/-in seit 11. Juni 1999
Nicht verfügbar
Softcover
Zustand: Neu
EUR 24,34
Artikelbeschreibung vom Verkäufer
New Book. Shipped from UK. Established seller since 2000.
Bestandsnummer des Verkäufers LW-9781330291825
- Titel
- Endogenous Modeling of Late Entry Penalties for Packaged Goods Classic Reprint
- Autor
- Kalyanaram, Gurumurthy
- Verlag
- Forgotten Books
- Veröffentlichungsjahr
- 2019
- Zustand
- New
- Einband
- PAP
- Sprache
- Englisch
- ISBN-10
- 1330291824
- ISBN-13
- 9781330291825
- Artikelgewicht
- 130 Gramm
Discover why timing matters in packaged goods growth. This study shows that late entrants face a real market penalty in share, even as firms adjust pricing, promotion, and distribution.
The book explains how order of entry interacts with marketing actions and product quality. It uses a recursive model to separate innate effects from strategic responses, drawing on store-level UPC data from 18 later entrants across several product categories and markets.
Ideal for readers of marketing science, product managers, and researchers exploring how timing influences market success.
The book explains how order of entry interacts with marketing actions and product quality. It uses a recursive model to separate innate effects from strategic responses, drawing on store-level UPC data from 18 later entrants across several product categories and markets.
- How order of entry and marketing choices shape share, price, promotion, and distribution
- Real-world data from UPC measures and advertising spend across multiple markets
- Evidence that the innate entry penalty persists even after modeling endogeneity
- Insights into forecasting share potential and how firm size and performance relate to entry timing
Ideal for readers of marketing science, product managers, and researchers exploring how timing influences market success.
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