Quality, value, satisfaction, trust, a

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No differences between the three different women’s clothing areas studied were found on the following control variables (see tables 6 and 7): shopping motives, shopping enjoyment, time pressure, involvement, crowding, grocery shopping trip before the visit to the studied space. For the remaining control variables, significant differences appeared. The results part of the paper therefore includes tests to check the influence of these variables on the results. Variables Utilitarian Hedonic Time pressure Crowding Involvement Involvement Shopping shopping shopping (interest and (sign) enjoyement motive motive pleasure) Signification ,224 ,360 ,381 ,468 ,089 ,226 ,532 Table 6. Means comparison of the three women’s clothing areas for the control variables Variables Signification Contingency coefficient Grocery shopping before the visit 0.44 NV Grocery shopping after 0.000 0.28 Visit to another women’clothing area before 0.008 0.2 Visit to another women’s clothing area after 0.001 O.24 Planning of the purchase 0.003 0.22 Table 7. Comparison of the three women’s clothing areas. Khi-2 for the control variable (conditions fulfilled) II.2. Results Conditions of Khi-2 test are fulfilled for the comparison between spatial configuration and strategies. The differences are statistically significant (see table 8). The association is quite strong (contingence coefficient is 0.38). Spatial configuration Appropriation strategies Total Functional Active ludic Passive ludic Functional Number 43 11 21 75 Theoretical number 27,6 29,6 17,8 75,0 Passive ludic Number 24 28 16 68 Theoretical number 25,0 26,8 16,2 68,0 Active ludic Number 15 49 16 80 Theoretical number 29,4 31,6 19,0 80,0 Total Number 82 88 53 223 Theoretical number 82,0 88,0 53,0 223,0 Table 8.Khi-2 for appropriation strategies and spatial configuration (conditions fulfilled, Khi-2= 38.134 ; s =0.000 ; c = 0.382) - In the active ludic space, there are more active ludic strategies. H1 is accepted 162
- In the passive ludic space, no particular strategy stood out. H2 is rejected - In the functional space, there are more functional utilitarian strategies. H3 is accepted. As we noticed differences in certain control variables, we checked if the results were still valid, whilst controlling these variables. We tested the hypothesis for each of the <strong>value</strong>s of the control variables for which there was a difference between stores (table 9). Conditions of Khi-2 are not fulfilled in the case of planned purchase. In every other case, conditions are fulfilled. Significant differences are found for each <strong>value</strong> of every control variable. H1 and H3 are in all cases accepted. H2 is in all cases rejected. Variables Signification % theoretical number under 5 Grocery shopping after Yes 0.01
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Volume 2 Contents: A Global Examina
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A Global Examination Of Relationshi
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and to measure them simultaneously
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customers’ total consumption expe
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From product perceived quality towa
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cumulative, or a combination of the
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trust4 -.68 commit1 .59 commit2 .51
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we observed that the least correlat
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outside of the consumption experien
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REFERENCES Anderson Eugene W., Forn
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Holbrook Morris B. Consumer Value:
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APPENDIX 1. DESCRIPTION OF THE ITEM
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An Empirical Examination of Retail
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This paper is organized in the foll
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Human and cognitive effort has been
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Seiders, Berry, and Gresham (2000)
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The four dimensions of retail conve
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2000). In-store shoppers receive th
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process resulted in slightly differ
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examine the dimensionality of these
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Seiders, Berry, and Gresham’s (20
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used, and the respondents were all
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Enis BM, Roering KJ. Product classi
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Table 1 Dimensions of Convenience G
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Table 3 Retail Convenience Scale Re
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Table 5 Correlations, Means, and St
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Error! Figure 1 Retail Convenience
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and Novak, 1996; Hammond, McWilliam
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and Hirschman, 1982, p 132). These
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interpretations of, all factors par
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the hedonic aspects of the online s
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satisfaction (Oliver, 1980; Westbro
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H6). It involves performing a multi
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Differences between the “shopping
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(Hypothesis 5) and online shopping
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demonstrates the importance of meas
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Dabholkar, Pratibha A. Incorporatin
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Mano Haim Elliott Michael T. Smart
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Zeithaml V., Parasuraman A. Malhotr
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1. Introduction Like inseparability
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specific attributes. Dealing with p
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2.2. Perceived Difficulty of Evalua
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and mentally intangible a product/s
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2.4.1. Knowledge and Intangibility
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category, we included both generic
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goods exhibit higher levels of phys
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5.1. Intangibility: Brand and Gener
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greater involvement with the purcha
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with generality, may also affect co
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Berry LL, Clark T. Four ways to mak
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Laroche M, Bergeron J, Goutaland C.
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Questionnair es Questionnaire 1 Que
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Table 3 Results of factor analysis
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Table 4 Summary of results 108
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Table 5 Stepwise multiple regressio
Page 112 and 113: Table 8 Stepwise multiple regressio
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Page 116 and 117: Intangibility Physical intangibilit
Page 118 and 119: net income of 94% and 119%, respect
Page 120 and 121: this, it is not surprising that eBa
Page 122 and 123: frequently referred to as feedback
Page 124 and 125: An auction participants’ feedback
Page 126 and 127: The objective of study one was to i
Page 128 and 129: excerpts that were selected and fus
Page 130 and 131: Consumers believed that sellers wit
Page 132 and 133: negative feedback could be me,” a
Page 134 and 135: idder should read the praises too b
Page 136 and 137: first study focused on one class of
Page 138 and 139: Rothkopf, Joydeep Srivastava, Rami
Page 140 and 141: Industrial Economics. 50:3. 337-349
Page 142 and 143: http://www.laxshopper.com/index.htm
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Page 146 and 147: Firstly, the consumer is supposed t
Page 148 and 149: For the psycho-sociology of environ
Page 150 and 151: To analyse appropriation strategies
Page 152 and 153: The second strategy is the most ela
Page 154 and 155: From the appropriation perspective
Page 156 and 157: To test these hypotheses we selecte
Page 158 and 159: Glace Glace Chart 4. Spatial config
Page 160 and 161: Chart 5b. Spatial configuration of
Page 164 and 165: appropriation strategies adopted by
Page 166 and 167: A matrix of space management can th
Page 168 and 169: Holbrook M.B. (1999), Introduction
Page 170 and 171: Asymmetric Quality Tier Competition
Page 172 and 173: Wisniewski (1989) proposed a theory
Page 174 and 175: alternatives prior to the choice de
Page 176 and 177: decrease in tradeoff when L reduces
Page 178 and 179: As Bronnenberg and Wathieu (1996) u
Page 180 and 181: Those conceptually based utility fu
Page 182 and 183: ecent existing research (Sivakumar
Page 184 and 185: increased by 10% (conceptually the
Page 186 and 187: REFERENCES Allenby GM. A unified ap
Page 188 and 189: Table 1. Estimation Results _______
Page 190 and 191: Q U A L I T a H H’ x b PRICE 190
Page 192 and 193: MODELING THE IMPACT OF INTERNET ATM
Page 194 and 195: Eroglu et al (2001) proposed a typo
Page 196 and 197: playfulness (enjoy visiting Web sit
Page 198 and 199: H2: When consumers surf the Web, th
Page 200 and 201: significantly explain attitude towa
Page 202 and 203: Involvement toward an ad based on v
Page 204 and 205: usefulness and the resourcefulness
Page 206 and 207: 3.2.2.2. Involvement The final comp
Page 208 and 209: environmental cues on purchase beha
Page 210 and 211: 6. Test of Hypotheses [Insert table
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Cacioppo, Schumann, 1983; Petty and
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Pelsmacker et al, 1998). ATTI is li
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improvements are brought into navig
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Cho, C.H.: How Advertising Works on
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Liu, C. and Arnett, K.P. Exploring
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Rose, G., Khoo, H. and Straub, D.W.
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Table 1: Results of Confirmatory Fa
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Table 2: Full Structural Model Fit
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EXPB� INV H7b NS 0.080 0.062 0.00
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230
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MAPPING RETAILING ENTREPRENEUR DECI
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Attempts to use a framework to find
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attempts resulting in failure are n
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included in this sentence would be
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Detailed causal maps are needed in
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Start-up. Details of the stream of
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more successful when they avoid big
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Axelrod, Robert (1976), "The Cognit
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1. Brian Shore starts several + 2.
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+ 1. B.S. ‘Maximizes use of fryin
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degree of importance consumers plac
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initial use of the word “convenie
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In the decision-making process, tim
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at home 24 hr/7 days a week (Hofack
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Figure 1 about here ---------------
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the organization and design of the
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ehavior courses participated as bot
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convenience is different for the tw
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should seek to establish a similar
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obtained a small sample size of onl
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Dunn DT, Thomas CA, Lubawski JL. Pi
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Table 1 Dimensions of Convenience G
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Table 3 Retail Convenience Scale Re
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Table 5 Correlations, Means, and St
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Error! Figure 1 Retail Convenience
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Customer-to-customer interaction is
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Second, we need to find out the opt
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esponse to the behavior of other cu
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ewards (Swinyard 1993). A customer
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Values may be defined as beliefs th
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find out the optimal combination of
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Taguchi recommends the use of signa
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epresent higher tolerance of incomp
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estaurant where they can escape inc
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Three significant interaction terms
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McGrath, Mary Ann, Otnes, Cele, (19
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Table…2 Tests of Between-Subjects
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Figure…2 (a) Combination of L4 Ta
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