Analysis of Sales Promotion Effects on Household Purchase Behavior

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Narasimhan, C., Neslin, S.A. and Sen, S.K. (1996), “<strong>Promotion</strong>al elasticities and characteristics,” Journal <strong>of</strong> Marketing, 60, 2, 17-30. Neslin, S.A. and L.G. Schneider Stone (1996), “Consumer Inventory Sensitivity and the Postpromotion Dip,” Marketing Letters, 7, 1, 77-94. Neslin, S.A. and R.W. Shoemaker (1983), “A Model for Evaluating the Pr<strong>of</strong>itability <strong>of</strong> Coupon <strong>Promotion</strong>s”, Marketing Science, 4, 4, 361-388. Neslin, S.A., Henderson, A., and J. Quelch (1985), “Consumer <strong>Promotion</strong>s and the Acceleration <strong>of</strong> Product Purchases,” Marketing Science, 4, 2, 147-165. Neslin, S.A. and R.W. Shoemaker (1989), “An Alternative Explanation for Lower Repeat Rates After <strong>Promotion</strong> Purchases,” Journal <strong>of</strong> Marketing Research, 26, 2, 205-213. Neslin, S., Allenby, G., Ehrenberg, A., Hoch, S., Laurent, G., Leone, R., Little, J., Lodish, L., Shoemaker, R., and D.R. Wittink (1994), “A Research Agenda for Making Scanner Data More Useful to Managers,” Marketing Letters, 5, 4, 395-412. Nijs, V.R., Dekimpe, M.G., Steenkamp, J-B.E.M. and D.M. Hanssens (2001), “The Category- Demand Effect <strong>of</strong> Price <strong>Promotion</strong>s,” Marketing Science, 20, 1, 1-22. Norusis, M.J. (2000), SPSS 10.0 Guide to Data <strong>Analysis</strong>, New Jersey: Prentice Hall. Ortmeyer, G.K., 1985. A model <strong>of</strong> Consumer Response to <strong>Promotion</strong>s. Dissertation. Papatla, P. and L. Krishnamurthi (1996), “Measuring the Dynamic <strong>Effects</strong> <strong>of</strong> <strong>Promotion</strong>s on Brand Choice,” Journal <strong>of</strong> Marketing Research, 33, 1, 20-35. Pessemier, E. and M. Handelsman (1984), “Temporal Variety in Consumer Behavior,” Journal <strong>of</strong> Marketing Research, 21, 4, 435-444. 223
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Page 1 and 2:
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
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5.4.2.3.1 Inter Purchase Time .....
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1 INTRODUCTION AND OVERVIEW 1.1 Int
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generally generated from a smaller
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switching, purchase acceleration, c
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strategy change (decrease in promot
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of promotions, or
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characteristics are important in ex
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Chapter 5 are applied to study the
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2 THEORIES OF CONSUMER BUYING BEHAV
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systematically explored the decisio
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the part of the co
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As mentioned before, Figure 2.3 is
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product use coupled with the import
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2.3.2 Stimulus-Response Model Appli
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2.3.2.2 Operant Conditioning In ope
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X is very popular that it will brin
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But, in contrast, economic theory c
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compared to a perceived benchmark -
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High need-for-cognition (NFC) indiv
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2.3.4.2 Literature Overview Our rev
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The previously described research h
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has its deficiencies. Any purchase
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Chandon et al. 2000). But deal pron
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2.4 Concluding Remarks Regarding th
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stimulus-organism-response model) c
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Shoemaker 1987). Several factors ha
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such as display promotions. Althoug
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3.2.3 Type of resi
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3.2.5 Education Education links to
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these advantages therefore could be
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less likely to seek variety. More e
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3.3.1 Store Loyalty Store loyalty s
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more often (probab
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Table 3.12 continued Hypothesis H9a
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4.2.1 Brand Switching Brand switchi
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involvement purchases for most cons
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Neslin (1998), there is a great nee
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are called “attributions.” Attr
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and less than 2 percent by stockpil
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into a unit sales decomposition and
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4.3.4 Storability/Perishability Sto
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Economic theory ignores mental deci
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seeking (cf. Assael 1987, Desphande
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there another factor that is relate
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Pr(event) 90 = 1+ 1 z e − Here Z
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5.4.2 Sales <stron
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It represents the fraction
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96 We measure possible time acceler
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promotional post-promotional purcha
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( 12) CategoryExpansion effect : 10
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PART II EMPIRICAL ANALYSIS 103
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more persons living together and di
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6.4 Linking Household and Store Dat
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Table 6.1 contains the results <str
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The age of the sho
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Table 6.4: Frequency distribution <
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7 EMPIRICAL ANALYSIS ONE: DRIVERS O
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Table 7.1: Operationalization <stro
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during 435 shopping trips more than
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The variables size, age, and cycle
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7.5 Results Drivers of</str
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esponsive the households within tha
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Table 7.3: Relationship promotion r
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indication that decreasing marginal
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Table 7.10: Relationship promotion
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7.5.2.8 Variety Seeking Two intrins
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anymore. Therefore it is concluded
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Thus, store loyalty and promotion r
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dummies add up to one. This implies
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Table 7.22: Overview empirical test
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enacting-on-impulse hypothesis and
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Table 7.23: Summary of</str
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Table 7.24: Correlation error coeff
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another category? Or do households
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and unweighted. With respect to the
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164 In general, the average quantit
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Purchase frequency is defined as th
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Table 8.3: Product category rating
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Table 8.4: Pearson correlation betw
Page 183 and 184: We hypothesized that within impulse
Page 185 and 186: measure (PU). Referring to Figure A
Page 187 and 188: Table 8.6: Significant within categ
Page 189 and 190: looked at this promotional bump dec
Page 191 and 192: Table 8.8: Differences in promotion
Page 193 and 194: approach (about one third) are much
Page 195 and 196: promotions lead to large purchase t
Page 197 and 198: studies. Promotion
Page 199 and 200: Promotional extra
Page 201 and 202: categories revealed that the strong
Page 203 and 204: degree. When households switch bran
Page 205 and 206: specific sales promotion reaction m
Page 207 and 208: increasing (Inman and Winer 1998),
Page 209 and 210: indirectly from promotional purchas
Page 211 and 212: quantity downward for potato chips.
Page 213 and 214: 9.2.2.3 Deal Proneness With respect
Page 215 and 216: 204 related to promotion response.
Page 217 and 218: influenced by out-of</stron
Page 219 and 220: Andrews, K.Z. (1997), “Do Marketi
Page 221 and 222: Blattberg, R.C., Eppen, G.D. and J.
Page 223 and 224: Chintagunta, P. (1993), “Investig
Page 225 and 226: East, R. and K. Hammond (1996), “
Page 227 and 228: Gupta, Sachin and P.K. Chintagunta
Page 229 and 230: Kahn, B.E., Morrison, D.G.and G.P.
Page 231 and 232: Lattin, J.M. and R.E. Bucklin (1989
Page 233: McAlister, L. and E. Pessemier (198
Page 237 and 238: Shimp, T.A. (1990). Promoti
Page 239 and 240: Van Trijp, H.C.M. and J.B.E.M. Stee
Page 241 and 242: Winer, R.S., Bucklin, R.E., Deighto
Page 244 and 245: APPENDIX A4: Research Overview Tabl
Page 246: Table A4.1 continued Article Promot
Page 249 and 250: � Size of munici
Page 251 and 252: Table A7.1 continued Symbol Descrip
Page 253 and 254: Table A7.2: Data legitimacy check (
Page 255 and 256: Table A7.3: Results binary logistic
Page 257 and 258: Table A7.4: Results interacting wit
Page 259 and 260: Table A7.5: Results age and size no
Page 261 and 262: Table A7.5 continued Variable B S.E
Page 263 and 264: Table A8.1 continued Impulse BS TA
Page 265 and 266: Table A8.2 continued Number <strong
Page 267 and 268: Table A8.3: Relative occurrence and
Page 269 and 270: Figure A8.2: Decomposing total prom
Page 271 and 272: interessante aanbieding is. Combina
Page 273 and 274: aantalmerken in een categorie en im
Page 276 and 277: ERASMUS RESEARCH INSTITUTE OF MANAG
Page 278 and 279: Title: Beyond Generics;A closer loo
Page 280 and 281: Title: Planning and Control Concept
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