138E-<strong>Commerce</strong>Bellizzi J. A. & Hite R. E. (1992). Environmental Color, Consumer Feelings, and PurchaseLikelihood, Psychology and Marketing, 9, September-October, 347-64.Biers K. & Richards L. (2002). Web Page Background Color Evaluative Effect On SelectedProduct Attributes, Research paper, Utah State University.Boyatzis C. J. & Varghese, R. (1993). Children's emotional associations with colors, TheJournal of Genetic Psychology, 155, 77-85.Bucklin R. E. & Sismeiro C. (2003). A model of web site browsing behavior estimated onclickstream data, Journal of Marketing Research, 40, 249-267.Camgöz N., Yener N. & Güvenç D. (2002). Effects of hue, saturation, and brightness onpreference, Color Research & Application, 27, 3, 199-207.Cho J. (2004). Likelihood to abort an online transaction: influences from cognitiveevaluations, attitudes, and behavioral variables, Information & Management, 41, 827-838.Churchill G.A. Jr. (1979). A Paradigm for Developing Better Measures of MarketingConstructs, Journal of Marketing Research, 16, 1, 64-73.Cialdini, R.B., Darby B.L. & Vincent J.E. (1973). Transgression and Altruism: A Case forHedonism, Journal of Experimental Social Psychology, 9 (November), 502-516.Corah N. L. & Gross J. B. (1967). Hue, Brightness, and Saturation Variables in Color FormMatching, Child Development, Vol. 38, No. 1 (Mar., 1967), pp. 137-142, BlackwellPublishing.Cotter S. (2002). Taking the measure of e-marketing success, Journal of Business Strategy, 23(2), pp.30-37.Crimmins J.C. (1997). Inference and impact. In Measuring advertising effectiveness, W.D. Wells(ed.), Mahwah, NJ: Lawrence Erlbaum Associates.Danaher P. J., Mullarkey G. W. & Essegaier S. (2006). Factors affecting websites visitduration: a cross domain analysis, Journal of Marketing Research, 43, 2, 182-194.Darpy D. (1997). Une variable médiatrice du report d'achat : La procrastination, InProceedings of 13ème Congrès International de l'AFM, Toulouse.De Groot, A. (1965). Thought and choice in chess. The Hague, Netherlands: Mouton. (Originalwork published 1946).del Galdo E.M. (1996). Culture and Design, International user interfaces, del Galdo, E.M. &Nielsen, J. (Eds), New-York: Wiley, 74-87.Demers E. & Lev B. (2001). A rude awakening: internet shakeout in 2000, Review ofAccounting Studies, 6, 331–359.Derbaix C. & Poncin I. (2005). La mesure des réactions affectives en marketing : évaluationdes principaux outils, Recherche and Applications en Marketing, Numéro spécial surLa Mesure, 20, 2, 55-76.Divard R. & Urien B. (2001). The Consumer Lives in a Colored World, Recherche etApplications en Marketing, 3-24.Donovan R. J. & Rossiter J. R. (1982). Store atmosphere : an environmental psychology approach,Journal of Retailing, Spring, 58, 34-57.Dreze, X. & Zufryden F. (1997). Testing Web Site Design and Promotional Content, Journalof Advertising Research, 37 (2), 77-91.Drugeon-Lichtlé M.-C. (2002). Couleur d'une annonce publicitaire, gôuts des individus etperception des marque, Décisions Marketing, April/June, 26, abi/inform global, 29.
Consumer Responses to Colors of E-<strong>Commerce</strong> Websites: An Empirical Investigation 139Drugeon-Lichtlé M.-C. (1996). Les effets des couleurs d'une annonce magazine sur lesémotions du consumer: conceptualisation et résultats d'une étude exploratoire,Actes de l'Association Française de Marketing, 12, Poitiers, éd. Michel Kalika, 445-458.Dunn B. (1992). Choice of Color for Product Can Be Critical Factor, The Gazette, August 10, 6.Ekman P. & Friesen W. (1975). Unmasking the face, Prentice Hall.Eroglu S. A., Machleit K. A. & Davis L. M. (2001). Atmospheric qualities of online retailing :a conceptual model and implications, Journal of Business Research, special issue onRetail Strategy and Consumer Decision Research, 54, November, 177-184.Eroglu S. A., Machleit K. A. & Davis L. M. (2003). Empirical Testing of a Model of OnlineStore Atmospherics and Shopper Responses, Psychology & Marketing, 20, 2, 139-50.Fernandez-Maloigne C. (2004). Quelle métrique pour l'évaluation de la qualité couleur d'uneimage numérique? Application à la compression JPEG2000, In Proceedings of CAMConférence, Paris, October.Filser M. (1994). Le comportement du consommateur, Précis Dalloz, Paris.Filser M. (2003a). Le marketing sensoriel : la quête de l'intégration théorique et managériale,Revue Française du Marketing, 194, 4/5, Septembre, 5-11.Filser M., (2003b). Vingt ans de recherches en comportement du consumer. In: Sociétés,Consommation et Consommateurs, Rémy, I. Garabuau-Moussaoui, D. Desjeux & M.Filser, (eds), L'Harmattan, 15-20.Fleury P. & Imbert C. (1996). Couleur, Encyclopeadia Universalis, 6, 676-681.Forgeas J. P. (1999). Network theories and beyond, Handbook of Cognition and Emotion, T.Dalgleish & M. J. Power (eds), 591-612, Chichester, Wiley.Gardner M. P. (1985). Mood states and consumer behavior : a critical review, Journal ofConsumer Research, 12, 281-300.Gignac T. (2000). Breaking the online barrier: an estimated 95 percent of Web sites areinaccessible to disabled users ± not a smart business move, In Proceedings ofCalgary Herald, Computers Section, 17 August, p. V7/Front.Gorn G., Chattopadhyay A., Sengupta J. & Tripathi S. (2004). Waiting for the web: howscreen color affects time perception, Journal of Marketing Research, XLI, May, 215-225.Haley R.I., Staffaroni J. et Fox A. (1994). The missing measures of copy testing, Journal ofAdvertising Research, 34, 3, 46-61.Hall R.H. & Hanna P. (2004). The Impact of Web Page Text-Background ColorCombinations on Readability, Retention, Aesthetics, and Behavioral Intention,Behavior and Information Technology, 23(3), 183-195.Hanson, W. A. (2000). Principles of Internet Marketing, South-Western College Publishers,Cincinnati, Ohio.Hazlett R.L. & Hazlett S.Y. (1999). Emotional response to television commercials: facialEMG vs. self-report, Journal of Advertising Research, 39, 2, 7-23.Helme-Guizon A. (2001). Le comportement du consommateur sur un site web marchandest-il fondamentalement différent de son comportement en magasin ? Propositiond’un cadre d’appréhension de ses spécificités, Recherche et Applications en marketing.Herbig P. & Hale B. (1997). Internet: the marketing challenge of the Twentieth century,Internet research: Eletronic networking applications and policy, 7 (2), pp.95-100.
- Page 1:
IE-Commerce
- Page 4 and 5:
Published by In-TehIn-TehOlajnica 1
- Page 7 and 8:
VIIWe wish to thank the reviewers o
- Page 9:
IXContentsPrefaceV1. A Conceptual F
- Page 13 and 14:
A Conceptual Framework and an Exten
- Page 15 and 16:
A Conceptual Framework and an Exten
- Page 17 and 18:
A Conceptual Framework and an Exten
- Page 19:
A Conceptual Framework and an Exten
- Page 22 and 23:
12E-CommerceThe Application Layer c
- Page 24 and 25:
14E-CommerceService description. Th
- Page 26 and 27:
16E-Commerceunderstanding about the
- Page 28 and 29:
18E-CommerceThis chapter contribute
- Page 30 and 31:
20E-CommercePorter M (2001). Strate
- Page 32 and 33:
22E-CommerceTo evaluate the e-comme
- Page 34 and 35:
24E-CommerceAa 2a a4m1 m 2 m 3m (
- Page 36 and 37:
26E-CommerceV v ij , i 1,2,...,
- Page 38 and 39:
28E-CommerceIndexFuzzy numberAltern
- Page 40 and 41:
30E-CommerceS. Mabuchi (1988). An a
- Page 42 and 43:
32E-Commercetechnology implementati
- Page 44 and 45:
34E-Commerceapplied to study an ind
- Page 46 and 47:
36E-Commerce PEOU of the public sec
- Page 48 and 49:
38E-CommerceNITC (National Informat
- Page 50 and 51:
40E-Commercewill describe the mecha
- Page 52 and 53:
42E-Commerce(2) The manner of commu
- Page 54 and 55:
44E-CommerceIf ADS is employed in a
- Page 56 and 57:
46E-Commerce4.2 Case studyThe detai
- Page 58 and 59:
48E-CommerceAs a high-speed develop
- Page 60 and 61:
50E-Commerce4.3.2 The architecture
- Page 62 and 63:
52E-Commerceone conclusion is that
- Page 64 and 65:
54E-Commerce
- Page 66 and 67:
56E-Commerceorganizations expose de
- Page 68 and 69:
58E-Commercerules. Such adapters ne
- Page 70 and 71:
60E-CommerceThe third level of inve
- Page 72 and 73:
62E-Commercecommon “language” h
- Page 74 and 75:
64E-Commercewell described in (Mül
- Page 76 and 77:
66E-Commerce3.3 Organizational Comp
- Page 78 and 79:
68E-Commercethe interaction of defi
- Page 80 and 81:
70E-CommerceAs a first step towards
- Page 82 and 83:
72E-Commerce5. Conclusion and Outlo
- Page 84 and 85:
74E-CommerceSchmid, B. F., Schroth,
- Page 86 and 87:
76E-CommerceThe following section p
- Page 88 and 89:
78E-Commerce(a) G cooc(b) G overlap
- Page 90 and 91:
80E-CommerceBetweenness centrality
- Page 92 and 93:
82E-Commerce4.1.1 Generating Networ
- Page 94 and 95:
84E-CommerceThe resultant value som
- Page 96 and 97:
86E-CommerceG shareholdershareholdi
- Page 98 and 99: 88E-Commerce17: Murata Noda Screen
- Page 100 and 101: 90E-Commerceand testing data in the
- Page 102: 92E-Commerce(c) Centrality-based ra
- Page 105 and 106: Ranking Companies Based on Multiple
- Page 107 and 108: Ranking Companies Based on Multiple
- Page 109 and 110: Considering Culture in Designing We
- Page 111 and 112: Considering Culture in Designing We
- Page 113 and 114: Considering Culture in Designing We
- Page 115 and 116: Considering Culture in Designing We
- Page 117 and 118: Considering Culture in Designing We
- Page 119 and 120: Considering Culture in Designing We
- Page 121 and 122: Considering Culture in Designing We
- Page 123 and 124: Consumer Responses to Colors of E-C
- Page 125 and 126: Consumer Responses to Colors of E-C
- Page 127 and 128: Consumer Responses to Colors of E-C
- Page 130 and 131: 120E-Commerce4. Research methodOur
- Page 132 and 133: 122E-Commerceavailable information
- Page 134 and 135: 124E-CommerceNewsvine Green. Starti
- Page 136 and 137: 126E-CommerceProcedureRespondents w
- Page 138 and 139: 128E-Commerce6. Data analysis and r
- Page 140 and 141: 130E-CommerceHue 1Newsvine Green (d
- Page 142 and 143: 132E-CommerceEffects of graphic cha
- Page 144 and 145: 134E-Commercethe consumer retains w
- Page 146 and 147: 136E-Commercemaintain, load more ra
- Page 150 and 151: 140E-CommerceHill A. & Scharff L. V
- Page 152 and 153: 142E-CommerceSpool J. M., Scanlon T
- Page 154 and 155: 144E-CommerceConsequently, we concl
- Page 156 and 157: 146E-CommerceDimensionsSystems qual
- Page 158 and 159: 148E-Commercefunction deployment (Q
- Page 160 and 161: 150E-CommerceUseful help serviceEle
- Page 162 and 163: 152E-Commerceplanning, enacting and
- Page 164 and 165: 154E-Commercecomplete and measurabl
- Page 166 and 167: 156E-Commerce There is "About us" s
- Page 168 and 169: 158E-Commerce Validation testing -
- Page 170 and 171: 160E-Commercefor the Websites (Lohs
- Page 172 and 173: 162E-CommerceSinnappan S., Carlson
- Page 174 and 175: 164E-Commercerecommendations of a t
- Page 176 and 177: 166E-Commerce3.1 Neighborhood Based
- Page 178 and 179: 168E-Commerce3.3 Significance Weigh
- Page 180 and 181: 170E-Commerce , u1 0,fR5fuR1 u2else
- Page 182 and 183: 172E-CommerceFigure 6 shows the ste
- Page 184 and 185: 174E-CommerceMAE0.750.740.730.720.7
- Page 187 and 188: Improving performance in recommende
- Page 189 and 190: Improving performance in recommende
- Page 191 and 192: Improving performance in recommende
- Page 193 and 194: Attacks on Two Buyer-Seller Waterma
- Page 195 and 196: Attacks on Two Buyer-Seller Waterma
- Page 197 and 198: Attacks on Two Buyer-Seller Waterma
- Page 199 and 200:
Attacks on Two Buyer-Seller Waterma
- Page 201 and 202:
Attacks on Two Buyer-Seller Waterma
- Page 203 and 204:
Attacks on Two Buyer-Seller Waterma
- Page 205 and 206:
Attacks on Two Buyer-Seller Waterma
- Page 207 and 208:
Attacks on Two Buyer-Seller Waterma
- Page 209 and 210:
Attacks on Two Buyer-Seller Waterma
- Page 211 and 212:
Attacks on Two Buyer-Seller Waterma
- Page 213 and 214:
Electronic Commerce Readinessin Dev
- Page 215 and 216:
Electronic Commerce Readinessin Dev
- Page 217 and 218:
Electronic Commerce Readinessin Dev
- Page 219 and 220:
Electronic Commerce Readinessin Dev
- Page 221 and 222:
Electronic Commerce Readinessin Dev
- Page 223 and 224:
Electronic Commerce Readinessin Dev
- Page 225 and 226:
Electronic Commerce Readinessin Dev
- Page 227 and 228:
Electronic Commerce Readinessin Dev
- Page 229 and 230:
Electronic Commerce Readinessin Dev
- Page 231 and 232:
Electronic Commerce Readinessin Dev
- Page 233 and 234:
Electronic Commerce Readinessin Dev
- Page 235 and 236:
Electronic Commerce Readinessin Dev
- Page 237 and 238:
Electronic Commerce Readinessin Dev
- Page 239 and 240:
Can a Recommender System induce ser
- Page 241 and 242:
Can a Recommender System induce ser
- Page 243 and 244:
Can a Recommender System induce ser
- Page 245 and 246:
Can a Recommender System induce ser
- Page 247 and 248:
Can a Recommender System induce ser
- Page 249 and 250:
Can a Recommender System induce ser
- Page 251 and 252:
Can a Recommender System induce ser
- Page 253 and 254:
Can a Recommender System induce ser
- Page 255 and 256:
Can a Recommender System induce ser
- Page 257 and 258:
A Mobile Commerce Model for Automob
- Page 259 and 260:
A Mobile Commerce Model for Automob
- Page 261 and 262:
A Mobile Commerce Model for Automob
- Page 263 and 264:
A Mobile Commerce Model for Automob
- Page 265 and 266:
A Mobile Commerce Model for Automob
- Page 267 and 268:
A Mobile Commerce Model for Automob
- Page 269 and 270:
A Mobile Commerce Model for Automob
- Page 271 and 272:
A Mobile Commerce Model for Automob
- Page 273 and 274:
A Mobile Commerce Model for Automob
- Page 275 and 276:
A Mobile Commerce Model for Automob
- Page 277 and 278:
The Automatic Attaching Function Ba
- Page 279 and 280:
The Automatic Attaching Function Ba
- Page 281 and 282:
The Automatic Attaching Function Ba
- Page 283 and 284:
The Automatic Attaching Function Ba
- Page 285 and 286:
The Automatic Attaching Function Ba
- Page 287 and 288:
The Automatic Attaching Function Ba
- Page 289 and 290:
The Automatic Attaching Function Ba
- Page 291 and 292:
The Automatic Attaching Function Ba
- Page 293 and 294:
The Automatic Attaching Function Ba