Quality, value, satisfaction, trust, a

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Table…2 Tests of Between-Subjects Effects Dependent Variable: Incompatibility Reaction Type III Sum Mean η Factor of Squares Df Square F Sig. 2 (Eta Squared) Corrected Model 422.787(a) 13 32.522 83.840 .000 0.893 Intercept 3238.513 1 3238.513 8348.651 .000 0.954 Control over activities 13.612 1 1.612 35.092 .000 0.081 Control over outcome 125.000 1 125.000 322.241 .000 0.546 Expectations 115.200 1 115.200 296.977 .000 0.526 Personal Value System 21.012 1 21.12 54.169 .000 0.119 Mood 86.112 1 86.112 221.992 .000 0.457 Involvement 25.313 1 25.313 65.254 .000 0.140 Personal Value System * Mood 1.012 1 1.012 2.610 .107 0.002 Mood * Involvement .012 1 .012 .032 .858 0.000 Expectations * Mood 1.250 1 1.250 3.222 .074 0.002 Control over activities * Mood 6.612 1 6.612 17.047 .000 0.031 Expectations *Involvement 11.250 1 11.250 29.002 .000 0.068 Control over outcome * Involvement 16.200 1 16.200 41,762 .000 0.103 Control over activities * Expectations ,.00 1 .200 .516 .473 0.002 Error 118.700 306 .388 Total 3780.000 320 Corrected Total 541.488 319 R 2 =0.921 (Adjusted R 2 =0 .893) Table…3 Signal/Noise Ratio Results Outer Array 1 2 2 1 1 2 1 2 Inner Array 1 1 2 2 Mean SD S/N Ratio 1 1 1 4.95 2.70 3.15 4.05 3.71 0.99 -11.5 1 2 2 3.80 2.40 1.95 2.60 2.68 0.79 -8.8 2 1 2 3.70 3.10 2.70 1.85 2.83 0.77 -9.5 2 2 1 5.90 3.25 2.80 2.90 3.71 1.47 -12.0 304
Run Control Over Activities Figure…1 6 2 Design Matrix for 2 − iv Experiment Control Over Outcome Expectations Personal Value System Mood Involvement 1 Low Low No Conservative bad Low 2 High Low No Conservative Good Low 3 Low High No Conservative Good High 4 High High No Conservative bad High 5 Low Low Yes Conservative Good High 6 High Low Yes Conservative bad High 7 Low High Yes Conservative bad Low 8 High High Yes Conservative Good Low 9 Low Low No Progressive bad High 10 High Low No Progressive Good High 11 Low High No Progressive Good Low 12 High High No Progressive bad Low 13 Low Low Yes Progressive Good Low 14 High Low Yes Progressive bad Low 15 Low High Yes Progressive bad High 16 High High Yes Progressive Good High High, Yes, Good, Progressive = + in design Matrix Low, No, Bad, Conservative= - in design Matrix 305
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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
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Table 8 Stepwise multiple regressio
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114
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Intangibility Physical intangibilit
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net income of 94% and 119%, respect
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this, it is not surprising that eBa
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frequently referred to as feedback
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An auction participants’ feedback
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The objective of study one was to i
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excerpts that were selected and fus
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Consumers believed that sellers wit
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negative feedback could be me,” a
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idder should read the praises too b
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first study focused on one class of
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Rothkopf, Joydeep Srivastava, Rami
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Industrial Economics. 50:3. 337-349
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http://www.laxshopper.com/index.htm
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144
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Firstly, the consumer is supposed t
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For the psycho-sociology of environ
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To analyse appropriation strategies
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The second strategy is the most ela
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From the appropriation perspective
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To test these hypotheses we selecte
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Glace Glace Chart 4. Spatial config
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Chart 5b. Spatial configuration of
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No differences between the three di
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appropriation strategies adopted by
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A matrix of space management can th
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Holbrook M.B. (1999), Introduction
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Asymmetric Quality Tier Competition
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Wisniewski (1989) proposed a theory
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alternatives prior to the choice de
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decrease in tradeoff when L reduces
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As Bronnenberg and Wathieu (1996) u
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Those conceptually based utility fu
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ecent existing research (Sivakumar
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increased by 10% (conceptually the
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REFERENCES Allenby GM. A unified ap
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Table 1. Estimation Results _______
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Q U A L I T a H H’ x b PRICE 190
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MODELING THE IMPACT OF INTERNET ATM
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Eroglu et al (2001) proposed a typo
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playfulness (enjoy visiting Web sit
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H2: When consumers surf the Web, th
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significantly explain attitude towa
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Involvement toward an ad based on v
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usefulness and the resourcefulness
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3.2.2.2. Involvement The final comp
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environmental cues on purchase beha
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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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Page 260 and 261: Figure 1 about here ---------------
Page 262 and 263: the organization and design of the
Page 264 and 265: ehavior courses participated as bot
Page 266 and 267: convenience is different for the tw
Page 268 and 269: should seek to establish a similar
Page 270 and 271: obtained a small sample size of onl
Page 272 and 273: Dunn DT, Thomas CA, Lubawski JL. Pi
Page 274 and 275: Table 1 Dimensions of Convenience G
Page 276 and 277: Table 3 Retail Convenience Scale Re
Page 278 and 279: Table 5 Correlations, Means, and St
Page 280 and 281: Error! Figure 1 Retail Convenience
Page 282 and 283: Customer-to-customer interaction is
Page 284 and 285: Second, we need to find out the opt
Page 286 and 287: esponse to the behavior of other cu
Page 288 and 289: ewards (Swinyard 1993). A customer
Page 290 and 291: Values may be defined as beliefs th
Page 292 and 293: find out the optimal combination of
Page 294 and 295: Taguchi recommends the use of signa
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Page 298 and 299: estaurant where they can escape inc
Page 300 and 301: Three significant interaction terms
Page 302 and 303: McGrath, Mary Ann, Otnes, Cele, (19
Page 306 and 307: Figure…2 (a) Combination of L4 Ta
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