Trade-offs in online purchase decisions: Two empirical studies in Europe

European Management Journal

Volumn 21, Issue 6, 2003, Pages 731-739

  Odekerken Schröder, Gaby ^a   Wetzels, Martin ^b  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Choice; Conjoint analysis; Convenience; Online consumers

Indexed keywords

EID: 0344513258     PISSN: 02632373     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.emj.2003.09.017     Document Type: Article

References (37)

1. Addelman S. Orthogonal main-effect plans for asymmetrical factorial experiments Technometrics 4 1962 21-58
2. Ahn, J., Park, J., Lee, D., 2001. Risk-focused e-Commerce adoption model-a cross-country Study. Working paper, 1-34.
3. Aldenderfer M.S. Blashfield R.K. Cluster Analysis 1984 Sage Publications Newbury Park, CA
4. Anderberg M.R. Cluster Analysis for Applications 1973 New York Academic Press, Inc
5. Bakos J.Y. Reducing buyer search costs: implications for electronic marketplaces Management Science 43 1997 1676-1708
6. Calinski R.B. Harabasz J. A dendrite method for cluster analysis Communications in Statistics 3 1974 1-27
7. Childers T.L. Carr C.L. Peck J. Carson S. Hedonic and utilitarian motivations for online retail shopping behavior Journal of Retailing 77 2001 511-535
8. Culnan M.J. Armstrong P.K. Information privacy concerns, procedural fairness and impersonal trust: an empirical investigation Organization Science 10 1999 104-115
9. Donthu N. Garcia A. The internet shopper Journal of Advertising Research 1999 52-58
10. Duda R.O. Hart P.E. Pattern Classification and Scene Analysis 1973 Wiley New York
11. Games P.A. Howell J.F. Pairwise multiple comparison procedures with unequal n's and/or variances Journal of Educational Statistics 1 1976 113-125
12. Green P.E. Krieger A.M. Choice rules and sensitivity analysis in conjoint simulators Journal of the Academy of Marketing Science 16 1 1988 114-128
13. Green P.E. Krieger A.M. Segmenting markets with conjoint analysis Journal of Marketing 55 1991 20-31
14. Green P.E. Srinivasan V. Conjoint Analysis in Consumer Research: Issues and Outlook Journal of Consumer Research 5 1978 103-123
15. Green P.E. Srinivasan V. Conjoint analysis in marketing: new developments with implications for research and practice Journal of Marketing 4 1990 3-19
16. Hirschman E.C. Holbrook M.B. Hedonic consumption: emerging concepts, methods and propositions Journal of Marketing 46 1982 92-101
17. Hoffman D.L. Novak T.P. Peralta M. Building consumer trust online Communications of the ACM 42 1999 80-85
18. Jarvenpaa S.L. Tractinsky N. Vitale M. Consumer trust in an internet store Information Technology and Management 1 2000 45-71
19. Jelassi T. Leenen S. An e-commerce sales model for manufacturing companies: a conceptual framework and a European example European Management Journal 21 2003 38-47
20. Khattree R. Naik D.N. Multivariate data reduction and discrimination 2000 SAS Institute, Inc Cary, NC
21. Korgaonkar, P.K. and Wolin, L.D. (1999) A multi-variate analysis of web usage. Journal of Advertising Research 53-68.
22. Kuhfeld, W.F. (2000) Conjoint analysis examples. SAS Technical Note TS-650F, Cary, NC: SAS Institute, Inc (Retrieved from: http://www.sas.com/techsup/download/technote/ts650f.pdf).
23. Messinger P.R. Narasimhan C. A model of retail formats based on consumer's economizing on shopping time Marketing Science 16 1997 1-23
24. Mild A. Reutterer T. An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data Journal of Retailing and Consumer Services 10 2003 123-133
25. Milligan G.W. Cooper M.C. An examination of procedures for determining the number of clusters in a data set Psychometrika 50 1985 159-179
26. Miyazaki A.D. Fernandez A. Consumer perceptions of privacy and security risks for online shopping The Journal of Consumer Affairs 35 2001 27-44
27. Peterson R.A. Balasubramanian S. Bronnenberg B.J. Exploring the implications of the internet for consumer marketing Journal of the Academy of Marketing Science 25 1997 329-346
28. Punj G. Stewart D.W. Cluster analysis in marketing research: review and suggestions for application Journal of Marketing Research 20 May 1983 134-148
29. Raijas A. Tuunainen V.K. Critical factors in electronic grocery shopping International Review of Retail, Distribution and Consumer Research 11 2001 255-265
30. Slater A. Specification for a dynamic vehicle routing and scheduling system International Journal of Transport Management 1 29-40 2002
31. Srinivasan S.S. Anderson R. Ponnavolu K. Customer loyalty in e-commerce: an exploration of its antecedents and consequences Journal of Retailing 78 2002 41-50
32. Toothaker L.E. Multiple Comparison Procedures Sage University Paper Series on Quantitative Applications in the Social Sciences (07-089) 1992 Sage Publications Newbury Park, CA
33. Van den Poel D. Leunis J. Consumer acceptance of the internet as a channel of distribution Journal of Business Research 45 1999 249-256
34. Ward J.H. Hierarchical grouping to optimize an objective function Journal of the American Statistical Association 58 1963 236-244
35. Wittink D.R. Krishnamurthi L. Reibstein D.J. The effect of differences in the number of attribute levels in conjoint results Marketing Letters 1 1989 113-123
36. Yoon S.J. The antecedents and consequences of trust in online-purchase decisions Journal of Interactive Marketing 16 2002 47-63
37. Zeithaml V. Parasuraman A. Malhotra A. Service quality delivery through web sites: a critical review of extant knowledge Journal of the Academy of Marketing Science 30 2002 362-375