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Dimensions of Consumer's Perceived Risk in Online Shopping

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182Journal <strong>of</strong> Electronic Science and Technology <strong>of</strong> Ch<strong>in</strong>a Vol.2Our research has developed a structure model formeasur<strong>in</strong>g consumer’s perceived risk <strong>in</strong> onl<strong>in</strong>eshopp<strong>in</strong>g. The 24 variables are identified as measures<strong>of</strong> consumer’s perceived risk. In the structure model,we f<strong>in</strong>d out seven factors as dimensions <strong>of</strong> theconsumer’s perceived risk <strong>in</strong> Ch<strong>in</strong>a’s Internet shopp<strong>in</strong>gcontext. The factor one is e-store source risk, factortwo is delivery risk; the factor three is f<strong>in</strong>ancial risk;the factor four is purchas<strong>in</strong>g process and time loss risk;the factor five is product performance risk; the factorsix is privacy risk; and the factor seven is asymmetric<strong>in</strong>formation risk.Research draws attention to consumer’sperception <strong>of</strong> risk <strong>in</strong> Internet shopp<strong>in</strong>g and providesthe specifications about the dimensions <strong>of</strong> Ch<strong>in</strong>eseconsumer’s preserved risk <strong>in</strong> the onl<strong>in</strong>e context. It maymotivate managers take account <strong>in</strong>to consumer’sconcern and provide more chances for managers to useour f<strong>in</strong>d<strong>in</strong>gs for their managerial practice <strong>in</strong> ane-commerce market environment.AcknowledgementThis paper is supported by the National NaturalScience Foundation <strong>of</strong> Ch<strong>in</strong>a.References[1] Bauer R A. Consumer Behavior as <strong>Risk</strong> Tak<strong>in</strong>g. In D.F.Cox (ed.), <strong>Risk</strong> Tak<strong>in</strong>g and Information Handl<strong>in</strong>g <strong>in</strong>Consumer Behavior[M]. Cambridge: Harvard UniversityPress, 1960. 389-398[2] Cunn<strong>in</strong>gham S M. The Major <strong>Dimensions</strong> <strong>of</strong> <strong>Perceived</strong><strong>Risk</strong>. <strong>in</strong> Cox, D.F. (Ed.), <strong>Risk</strong> Tak<strong>in</strong>g and InformationHandl<strong>in</strong>g <strong>in</strong> Consumer Behavior[M]. Boston GraduateSchool <strong>of</strong> Bus<strong>in</strong>ess Adm<strong>in</strong>istration, Harvard UniversityPress, 1967. 82-108[3] Peter J P, Rayan N J. An <strong>in</strong>vestigation <strong>of</strong> perceived risk atthe brand level[J]. Journal <strong>of</strong> Market<strong>in</strong>g Research, 1976,13:184-188[4] Kaplan L B, Jacoby J, Szybillo G. Components <strong>of</strong>perceived risk <strong>in</strong> product purchase: a cross-validation[J].Journal <strong>of</strong> Applied Psychology, 1974, 59(3): 287-291[5] Fram E H, Grady D B. Internet shoppers: is there a surfergender gap[J]. Direct Market<strong>in</strong>g, 1997,59 (9): 46-50[6] Jarvenpaa S L, Todd P A. Consumer reactions to electronicshopp<strong>in</strong>g on the world wide web[J]. International Journal<strong>of</strong> Electronic Commerce, 1996, 1(2): 59-88[7] Nyshadham E A. Privacy policies <strong>of</strong> air travel web sites: asurvey and analysis[J]. Journal Air Transport Management,2000, 6: 143-152[8] McCorkle D E. The role <strong>of</strong> perceived risk <strong>in</strong> mail order–catalog shopp<strong>in</strong>g[J]. Journal <strong>of</strong> Direct Market<strong>in</strong>g, 1990, (4):26-35[9] Engel J F, Blackwell R D. <strong>Perceived</strong> risk <strong>in</strong> mail-order andretail store buy<strong>in</strong>g[J]. Journal <strong>of</strong> Market<strong>in</strong>g Research, 1970,7: 364-369[10] Nena L. Consumers’ perceived risk: sources versusconsequences[J]. Electronic Commerce Research andApplications, 2003, 2: 216-228[11] Sandra M, Shi F B. Consumer patronage and riskperceptions <strong>in</strong> Internet shopp<strong>in</strong>g[J]. Journal <strong>of</strong> Bus<strong>in</strong>essResearch, 2003, 56(11): 867[12] Hair J F, Anderson R E, Tathan R L, et al. MultivariateData Analysis[M]. EngleWood Cliffs, NJ: Prentice Hall,1998[13] Banabanis G, Vassileiou S. Some attitud<strong>in</strong>al predictors <strong>of</strong>home shopp<strong>in</strong>g through the Internet[J]. Journal <strong>of</strong>Market<strong>in</strong>g Management, 1999, (15): 361-385Brief Introduction to Author(s)YE Naiyi is an associate pr<strong>of</strong>essor <strong>in</strong> School <strong>of</strong> Economicsand Management, Southwest Jiaotong University, Ch<strong>in</strong>a. Hiscurrent research <strong>in</strong>terests <strong>in</strong>clude: electronic commerce,market<strong>in</strong>g, consumer behavior.

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