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goods exhibit higher levels of physical intangibility than the generic ones. Across the board, the branded goods also display higher levels of mental intangibility and generality. Unlike the branded goods, the branded services display lower levels of generality, physical and mental intangibility. The one exception, the Royal Bank checking account, exhibits higher levels of generality than the generic option. [Tables 2 to 4 about here] 4.3.2. Regression analysis: H4 to H13 We used multiple regressions to test the remaining hypotheses, applying the stepwise method in order to minimize multicollinearity effects. A summary of the results follows: INTANGIBILITY, KNOWLEDGE, AND INVOLVEMENT WITH DIFFICULTY OF EVALUATION (TABLE 5). Supporting H4a, H5a, H6a, H9a, and H12a, the results showed the three dimensions of intangibility, knowledge, and involvement, to be significantly related to difficulty of evaluation. INTANGIBILITY, KNOWLEDGE, AND INVOLVEMENT WITH PERCEIVED RISK (TABLE 6). We found support for H4b in that mental intangibility was positively related to all five types of risk, but only partial support for H5b since generality was only related to social and psychological risk. Contrary to H6b, physical intangibility was negatively related to social risk. The hypothesized relationship between knowledge and perceived risk also held for all types of risk, except social risk, providing strong support for H9b. Likewise for H12b, which was partially supported by virtue of the positive relationship between involvement and social and financial risk. For time risk, the relationship was found to be negative, in the opposite direction of what was hypothesized. MODERATING EFFECTS OF KNOWLEDGE AND INVOLVEMENT: INTANGIBILITY AND DIFFICULTY OF EVALUATION (TABLE 7). While knowledge interacted with mental intangibility to reduce difficulty of evaluation, involvement did not interact with any of the three dimensions of intangibility. Hence, H8a was partially supported, whereas H11a was not. MODERATING EFFECTS OF KNOWLEDGE AND INVOLVEMENT: INTANGIBILITY AND PERCEIVED RISK (TABLE 8). Overall, we found partial support for H8b and H11b. Knowledge moderates the relationship between mental intangibility and social and psychological risk; generality and time risk; physical intangibility and social risk. Likewise, involvement moderates the relationship between mental intangibility and social and psychological risk but, the moderating effect follows a different pattern when 92
it comes to generality and physical intangibility. There, involvement moderates the relationship between generality and time and social risk; physical intangibility and four types of risk, except time risk. INTANGIBILITY AND DIFFICULTY OF EVALUATION: BRAND AND GENERIC PRODUCT CATEGORIES (TABLE 9). Since generality and physical intangibility have a greater effect on difficulty of evaluation in the generic context, as opposed to the branded one, H7a is partially supported. INTANGIBILITY AND PERCEIVED RISK: BRAND AND GENERIC PRODUCT CATEGORIES (TABLE 10). Looking at the magnitude of the standardized coefficients, we find that physical intangibility has a greater effect on social, financial, and performance risk at the generic level as opposed to the branded one. For generality, the coefficients at the generic level are all greater than those at the brand level, with the pattern repeated for all five types of risk. For mental intangibility, the effect is opposite to what had been hypothesized in H7b, as it appears to have a greater impact at the brand level as opposed to the generic one, with the exception of social risk where the comparison between generic and brand contexts is consistent with the hypothesis. Based on these findings, H7b is partially supported. MODERATING EFFECTS OF KNOWLEDGE AND INVOLVEMENT ON DIFFICULTY OF EVALUATION: BRAND AND GENERIC PRODUCT CATEGORIES (TABLE 11). Although we hypothesized that the moderating effects of knowledge and involvement would be greater in the generic context, this only held true for the moderating effect of involvement on the relationship between physical intangibility and difficulty of evaluation. Hence, we found no support for H10a and only partial support for H13a. MODERATING EFFECTS OF KNOWLEDGE AND INVOLVEMENT ON PERCEIVED RISK: BRAND AND GENERIC PRODUCT CATEGORIES (TABLE 12). We found partial support for H10b and H13b in that the moderating effects of knowledge were evident between physical intangibility/generality and social risk; generality and psychological risk; and physical/mental intangibility and performance risk. Moreover, we found the hypothesized moderating effects of involvement between physical/mental intangibility and time risk; mental intangibility and social risk; mental/physical intangibility and psychological risk; and mental/physical intangibility and financial risk. 5. Discussion [Tables 5 to 12 about here] 93
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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
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 62 and 63: the hedonic aspects of the online s
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 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
Page 112 and 113: Table 8 Stepwise multiple regressio
Page 114 and 115: 114
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
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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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