Paul W. Farris / Michael J. Moore (Hrsg.)Retrospect and Prospects
The Profit Impact of Marketing Strategy Project
Retrospect and Prospects
Herausgeber: Farris, Paul W.; Moore, Michael J.
Paul W. Farris / Michael J. Moore (Hrsg.)Retrospect and Prospects
The Profit Impact of Marketing Strategy Project
Retrospect and Prospects
Herausgeber: Farris, Paul W.; Moore, Michael J.
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The contribution of the PIMS project explored in the context of developments in business.
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The contribution of the PIMS project explored in the context of developments in business.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 328
- Erscheinungstermin: 30. September 2009
- Englisch
- Abmessung: 229mm x 152mm x 19mm
- Gewicht: 534g
- ISBN-13: 9780521123457
- ISBN-10: 0521123453
- Artikelnr.: 28111042
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Cambridge University Press
- Seitenzahl: 328
- Erscheinungstermin: 30. September 2009
- Englisch
- Abmessung: 229mm x 152mm x 19mm
- Gewicht: 534g
- ISBN-13: 9780521123457
- ISBN-10: 0521123453
- Artikelnr.: 28111042
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Foreword Paul Farris and Michael Moore; 1. The PIMS: project vision,
achievements and scope of the data Paul Farris with John U. Farley; 2.
Putting PIMS into perspective: enduring contributions to strategic
questions George Day; 3. PIMS and COMPUSTAT data: different horses for the
same courses? D. Eric Boyd, Paul Farris, and Lutz Hildebrandt; 4. Order of
market entry: empirical results from the PIMS data and future research
topics William Robinson and Mark Parry; 5. Marketing costs and prices David
Reibstein, D. Eric Boyd, and Paul Farris; 6. Does innovativeness enhance
new product success?: insights from a meta-analysis of the evidence David
M. Szymanski, Michael Kroff, and Lisa C. Troy; 7. The model by Phillips,
Chang, and Buzzell revisited: the effects of unobservable variables Lutz
Hildebrandt and Dirk Temme; 8. Causation and components in market
share-performance models: the role of identities Kusum Ailawadi and Paul
Farris; 9. Cargo cult econometrics: specification testing in simultaneous
equations marketing models Michael Moore, Ruskin Morgan, and Judith
Roberts; 10. PIMS and the market share effect: biased evidence versus fuzzy
evidence Marcus Christen and Hubert Gatignon; 11. PIMS in the new
millennium: How PIMS might be different tomorrow Paul Farris and Michael
Moore.
achievements and scope of the data Paul Farris with John U. Farley; 2.
Putting PIMS into perspective: enduring contributions to strategic
questions George Day; 3. PIMS and COMPUSTAT data: different horses for the
same courses? D. Eric Boyd, Paul Farris, and Lutz Hildebrandt; 4. Order of
market entry: empirical results from the PIMS data and future research
topics William Robinson and Mark Parry; 5. Marketing costs and prices David
Reibstein, D. Eric Boyd, and Paul Farris; 6. Does innovativeness enhance
new product success?: insights from a meta-analysis of the evidence David
M. Szymanski, Michael Kroff, and Lisa C. Troy; 7. The model by Phillips,
Chang, and Buzzell revisited: the effects of unobservable variables Lutz
Hildebrandt and Dirk Temme; 8. Causation and components in market
share-performance models: the role of identities Kusum Ailawadi and Paul
Farris; 9. Cargo cult econometrics: specification testing in simultaneous
equations marketing models Michael Moore, Ruskin Morgan, and Judith
Roberts; 10. PIMS and the market share effect: biased evidence versus fuzzy
evidence Marcus Christen and Hubert Gatignon; 11. PIMS in the new
millennium: How PIMS might be different tomorrow Paul Farris and Michael
Moore.
Foreword Paul Farris and Michael Moore; 1. The PIMS: project vision,
achievements and scope of the data Paul Farris with John U. Farley; 2.
Putting PIMS into perspective: enduring contributions to strategic
questions George Day; 3. PIMS and COMPUSTAT data: different horses for the
same courses? D. Eric Boyd, Paul Farris, and Lutz Hildebrandt; 4. Order of
market entry: empirical results from the PIMS data and future research
topics William Robinson and Mark Parry; 5. Marketing costs and prices David
Reibstein, D. Eric Boyd, and Paul Farris; 6. Does innovativeness enhance
new product success?: insights from a meta-analysis of the evidence David
M. Szymanski, Michael Kroff, and Lisa C. Troy; 7. The model by Phillips,
Chang, and Buzzell revisited: the effects of unobservable variables Lutz
Hildebrandt and Dirk Temme; 8. Causation and components in market
share-performance models: the role of identities Kusum Ailawadi and Paul
Farris; 9. Cargo cult econometrics: specification testing in simultaneous
equations marketing models Michael Moore, Ruskin Morgan, and Judith
Roberts; 10. PIMS and the market share effect: biased evidence versus fuzzy
evidence Marcus Christen and Hubert Gatignon; 11. PIMS in the new
millennium: How PIMS might be different tomorrow Paul Farris and Michael
Moore.
achievements and scope of the data Paul Farris with John U. Farley; 2.
Putting PIMS into perspective: enduring contributions to strategic
questions George Day; 3. PIMS and COMPUSTAT data: different horses for the
same courses? D. Eric Boyd, Paul Farris, and Lutz Hildebrandt; 4. Order of
market entry: empirical results from the PIMS data and future research
topics William Robinson and Mark Parry; 5. Marketing costs and prices David
Reibstein, D. Eric Boyd, and Paul Farris; 6. Does innovativeness enhance
new product success?: insights from a meta-analysis of the evidence David
M. Szymanski, Michael Kroff, and Lisa C. Troy; 7. The model by Phillips,
Chang, and Buzzell revisited: the effects of unobservable variables Lutz
Hildebrandt and Dirk Temme; 8. Causation and components in market
share-performance models: the role of identities Kusum Ailawadi and Paul
Farris; 9. Cargo cult econometrics: specification testing in simultaneous
equations marketing models Michael Moore, Ruskin Morgan, and Judith
Roberts; 10. PIMS and the market share effect: biased evidence versus fuzzy
evidence Marcus Christen and Hubert Gatignon; 11. PIMS in the new
millennium: How PIMS might be different tomorrow Paul Farris and Michael
Moore.