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LINDA H. TEUNTER Analysis</
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Analysis o
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Voorwoord Soms valt de appel echt n
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Contents 1 INTRODUCTION AND OVERVIE
- Page 10 and 11: 5.4.2.3.1 Inter Purchase Time .....
- Page 12 and 13: 1 INTRODUCTION AND OVERVIEW 1.1 Int
- Page 14 and 15: generally generated from a smaller
- Page 16 and 17: switching, purchase acceleration, c
- Page 18 and 19: strategy change (decrease in promot
- Page 20 and 21: of promotions, or
- Page 22 and 23: characteristics are important in ex
- Page 24: Chapter 5 are applied to study the
- Page 28 and 29: 2 THEORIES OF CONSUMER BUYING BEHAV
- Page 30 and 31: systematically explored the decisio
- Page 32 and 33: the part of the co
- Page 34 and 35: As mentioned before, Figure 2.3 is
- Page 36 and 37: product use coupled with the import
- Page 38 and 39: 2.3.2 Stimulus-Response Model Appli
- Page 40 and 41: 2.3.2.2 Operant Conditioning In ope
- Page 42 and 43: X is very popular that it will brin
- Page 44 and 45: But, in contrast, economic theory c
- Page 46 and 47: compared to a perceived benchmark -
- Page 48 and 49: High need-for-cognition (NFC) indiv
- Page 50 and 51: 2.3.4.2 Literature Overview Our rev
- Page 52 and 53: The previously described research h
- Page 54 and 55: has its deficiencies. Any purchase
- Page 56 and 57: Chandon et al. 2000). But deal pron
- Page 58 and 59: 2.4 Concluding Remarks Regarding th
- Page 62 and 63: 3 HOUSEHOLD CHARACTERISTICS RELATED
- Page 64 and 65: (1978) did not find a significant l
- Page 66 and 67: 3.2.2 Household Size As mentioned i
- Page 68 and 69: Older shoppers are more likely to s
- Page 70 and 71: 3.2.6 Employment Situation Retired
- Page 72 and 73: 3.2.7 Presence of
- Page 74 and 75: considered brand loyalty to be the
- Page 76 and 77: Webster (1965) found that promotion
- Page 78 and 79: Table 3.12: Overview hypotheses der
- Page 80 and 81: 4 DECOMPOSING PROMOTION RESPONSE IN
- Page 82 and 83: Economic theory provides an explana
- Page 84 and 85: uying on deal at a lower price, the
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- Page 92 and 93: 4.3.2 Purchase Frequency The study
- Page 94 and 95: 4.3.6 Impulse Narasimhan et al. (19
- Page 96 and 97: 5 METHDOLOGY, MODEL, AND MEASURES 5
- Page 98 and 99: purchase behavior, taking interveni
- Page 100 and 101: The reaction mechanisms that can oc
- Page 102 and 103: Summarizing, binary logistic regres
- Page 104 and 105: more than one product category. In
- Page 106 and 107: ehavior from the favorite brand to
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to postponed post-promotional purch
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This household has bought 9 bottles
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6 DATA DESCRIPTION 6.1 Introduction
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With only purchase-record informati
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Household panel Households with pri
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epresentative for the bulk
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Table 6.3: Frequency distribution <
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Table 6.5: Promotion</stron
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promotional shopping trips during w
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Table 7.1 continued Variable Operat
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make n purchase decisions. But thos
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Table A7.1 ) are highly interrelate
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126 Similar results are found regar
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Table 7.2: Relationship promotion r
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7.5.2.2 Household Size As mentioned
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Table 7.5: Relationship promotion r
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Table 7.7: Relationship promotion r
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esulting residuals were incorporate
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Table 7.11: Relationship promotion
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households living on welfare would
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Table 7.14: Relationship promotion
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144 In addition, the results for th
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Table 7.18: Results interaction sto
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Table 7.21: Results interaction bas
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present for the favorite brand. The
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Table 7.22 continued Hypothesis Fin
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elation between store loyalty and p
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categories. But, this has to be emp
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8 EMPIRICAL ANALYSIS TWO: SALES PRO
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for the two indicators for each pro
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post-promotional estimates. The dif
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8.3 Testing the Hypotheses Relating
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The number of bran
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elationship between product categor
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guide purchases once consumers are
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8.4 Household Consistencies The pri
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a positive correlation between the
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promotional quantity are positively
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Table 8.7: Aggregated relative occu
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Table 8.7, and Table 8.8. But what
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promotional unit-sales across the c
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Table 8.10: Unit-sales decompositio
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Promotional unit s
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The first decomposition discussed a
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their purchases but also switched b
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9 CONCLUSIONS, DISCUSSION, AND SUGG
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drinks, fruit juice, cof</s
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Summarizing, the results are in acc
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to buy less than what it normally p
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favorite brands is about 40 percent
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(Van Heerde et al. 2001, 2002), the
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juice products. Thus, in general, a
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REFERENCES Abe, M. (1995), "A nonpa
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Bawa, K., Srinivasan, S.S. and R.K.
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Bucklin, R.E. and Sunil Gupta (1992
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Dekimpe, M.G. and D.M. Hanssens (19
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Foxall, G.R. and R.E. Goldsmith (19
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Huff, D. (1964), “Defining and Es
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Kim, B., Srinivasan, K. and R.T. Wi
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Lilien, G.L., Kotler, P. and K.S. M
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Narasimhan, C., Neslin, S.A. and Se
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Robertson, T.S., Zielinski, J. and
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Stewart, J. (1991), Econometrics, P
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Wedel, M., Kamakura, W.A., DeSarbo,
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APPENDIX A3: Operationalization Soc
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Table A4.1 continued Article Promot
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APPENDIX A6: Overview Variables Inv
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APPENDIX A7: Empirical Anal
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Table A7.1 continued Symbol Descrip
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Table A7.2 continued Variable B 1 S
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Table A7.3 continued Variable N1 N2
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Table A7.4 continued Variable B S.E
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Table A7.5 continued Variable B S.E
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APPENDIX A8: Empirical Anal
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Table A8.2: Product category rating
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Product Category 1 Product Category
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Table A8.3 continued Main effects Q
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Samenvatting Consumenten worden vee
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Deze gegevens worden gekoppeld aan
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Curriculum Vitae Linda H. Teunter w
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Title: Layout and Routing Methods f
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Title: The Business of</str
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Analysis o