Quality, value, satisfaction, trust, a

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the hedonic aspects of the online shopping experience and males should be more sensible to its utilitarian aspects. H 5 : The relationship between online shopping hedonic value and satisfaction will be stronger for females than males H 6 : The relationship between online shopping utilitarian value and satisfaction will be stronger for males than for females H 7 : Online shopping hedonic value should be stronger for females H 8 : Online shopping utilitarian value should be stronger for males Online shopping hedonic value Online shopping utilitarian value Research methods Experience Shopping orientation Gender Figure 2 – Conceptual framework Satisfaction An experiment manipulated the shopping purpose over two levels. 417 undergraduate and graduate business students participated in the study. Four electronic catalogs from online travel agencies were selected as stimuli for the study: online travel agencies were selected because travel is among the most successful product on the web. In order to test the links between online shopping values and consumer satisfaction, each subject had to visit two electronic catalogs and then respond to a questionnaire. To avoid any bias, subjects who had already visited the electronic catalog were excluded from the sample, the final sample is of 322 students, 142 females and 180 males. 62
Each subject experience both experimental conditions and visit an electronic catalog with a “shopping as work” scenario and another catalog with a “shopping as recreation” scenario. It guarantees that differences between the two scenarios are caused by the manipulation, and not by sampling differences. Confounding variables such as carryover effects were controlled by counterbalancing. Half the subjects visited first an electronic catalog with a “shopping as recreation” orientation and then another one with a “shopping as work” orientation and the other half visited first an electronic catalog with a “shopping as work” orientation and then another one with a “shopping as recreation” orientation. A scenario was developed for each orientation and for each electronic catalog. A pre-test was performed to check that the “shopping as work” scenario was perceived as work and that the “shopping as recreation” scenario was perceived as recreation. Additionally a manipulation check was introduced in the final questionnaire: “How did you consider the visit before visiting the web site: as work � as recreation”. Measures Literature on retailing, services marketing and environmental psychology was used to identify pre-existing measures. Measures were then adapted to the online retailing context. Two studies were realized in order to adapt and validate our measures. The first study evaluated each scale performance: 60 students had to visit two electronic catalogs and to respond to a questionnaire after each visit. Online shopping hedonic or utilitarian values were assessed by the Personal Shopping Value (PSV) scale (Babin, Darden and Griffin 1994). Four items measure hedonic value and three items measure utilitarian value. Responses are anchored on a 7 point scale from 1=strongly disagree to 7= strongly agree. Coefficient alpha is 0.8767 for online shopping hedonic value and 0.8411 for online shopping utilitarian value. Satisfaction is assessed by a scale by Llosa (1996). One item measure the cognitive dimension of 63
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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
Page 11 and 12: cumulative, or a combination of the
Page 13 and 14: trust4 -.68 commit1 .59 commit2 .51
Page 15 and 16: we observed that the least correlat
Page 17 and 18: outside of the consumption experien
Page 19 and 20: REFERENCES Anderson Eugene W., Forn
Page 21 and 22: Holbrook Morris B. Consumer Value:
Page 23 and 24: APPENDIX 1. DESCRIPTION OF THE ITEM
Page 25 and 26: An Empirical Examination of Retail
Page 27 and 28: This paper is organized in the foll
Page 29 and 30: Human and cognitive effort has been
Page 31 and 32: Seiders, Berry, and Gresham (2000)
Page 33 and 34: The four dimensions of retail conve
Page 35 and 36: 2000). In-store shoppers receive th
Page 37 and 38: process resulted in slightly differ
Page 39 and 40: examine the dimensionality of these
Page 41 and 42: Seiders, Berry, and Gresham’s (20
Page 43 and 44: used, and the respondents were all
Page 45 and 46: Enis BM, Roering KJ. Product classi
Page 47 and 48: Table 1 Dimensions of Convenience G
Page 49 and 50: Table 3 Retail Convenience Scale Re
Page 51 and 52: Table 5 Correlations, Means, and St
Page 53: Error! Figure 1 Retail Convenience
Page 56 and 57: and Novak, 1996; Hammond, McWilliam
Page 58 and 59: and Hirschman, 1982, p 132). These
Page 60 and 61: interpretations of, all factors par
Page 64 and 65: satisfaction (Oliver, 1980; Westbro
Page 66 and 67: H6). It involves performing a multi
Page 68 and 69: Differences between the “shopping
Page 70 and 71: (Hypothesis 5) and online shopping
Page 72 and 73: demonstrates the importance of meas
Page 74 and 75: Dabholkar, Pratibha A. Incorporatin
Page 76 and 77: Mano Haim Elliott Michael T. Smart
Page 78 and 79: Zeithaml V., Parasuraman A. Malhotr
Page 80 and 81: 1. Introduction Like inseparability
Page 82 and 83: specific attributes. Dealing with p
Page 84 and 85: 2.2. Perceived Difficulty of Evalua
Page 86 and 87: and mentally intangible a product/s
Page 88 and 89: 2.4.1. Knowledge and Intangibility
Page 90 and 91: category, we included both generic
Page 92 and 93: goods exhibit higher levels of phys
Page 94 and 95: 5.1. Intangibility: Brand and Gener
Page 96 and 97: greater involvement with the purcha
Page 98 and 99: with generality, may also affect co
Page 100 and 101: Berry LL, Clark T. Four ways to mak
Page 102 and 103: Laroche M, Bergeron J, Goutaland C.
Page 104 and 105: Questionnair es Questionnaire 1 Que
Page 106 and 107: Table 3 Results of factor analysis
Page 108 and 109: Table 4 Summary of results 108
Page 110 and 111: 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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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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