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Modeling The Impact Of Internet Atmospherics On Surfer Behavior Marie-Odile Richard, École des Hautes Études Commerciales Abstract The goal of this study was to examine the impact of atmospherics cues concerning Internet advertising on the behavior of consumers and its impact on several variables such as attitudes, involvement, exploratory behavior, pre-purchase and purchase intentions. Atmospherics cues were central (structure, informativeness, effectiveness and navigational characteristics) and peripheral (entertainment). A conceptual model is developed based on a review of existing findings and tested with a random sample of real consumers who responded to a questionnaire after navigating through an existing pharmaceutical web site. Structural equations modeling was used to test nine major hypotheses. Among key findings, all atmospherics cues were impacting the other constructs, with the central cues mostly affecting involvement and exploratory behavior, while entertainment affected involvement and attitude. These findings contribute to theoretical and managerial understanding of the role of Internet atmospherics on the web navigation behavior of visitors. 191
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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
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 162 and 163: No differences between the three di
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 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
Page 212 and 213: Cacioppo, Schumann, 1983; Petty and
Page 214 and 215: Pelsmacker et al, 1998). ATTI is li
Page 216 and 217: improvements are brought into navig
Page 218 and 219: Cho, C.H.: How Advertising Works on
Page 220 and 221: Liu, C. and Arnett, K.P. Exploring
Page 222 and 223: Rose, G., Khoo, H. and Straub, D.W.
Page 224 and 225: Table 1: Results of Confirmatory Fa
Page 226 and 227: Table 2: Full Structural Model Fit
Page 228 and 229: EXPB� INV H7b NS 0.080 0.062 0.00
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Page 232 and 233: MAPPING RETAILING ENTREPRENEUR DECI
Page 234 and 235: Attempts to use a framework to find
Page 236 and 237: attempts resulting in failure are n
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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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