The perceptual fluency effect on pleasurable online shopping experience

HyunjooIm1, Sharron J.Lennon2, LeslieStoel3
1California State Polytechnic University, Pomona, California, USA
2University of Delaware, Newark, Delaware, USA
3The Ohio State University, Columbus, Ohio. USA

Tóm tắt

PurposeVisual information quality is one of the most important elements that determines online shoppers' experience on a web site. Yet, currently many e‐tailers use poor quality visual information such as small and blurry images. Therefore, the purpose of this paper is to investigate the impact of visual information quality on online shoppers' affective responses and behavioral intent toward the web site. The theoretical framework of perceptual fluency, the ease with which perceptual forms (i.e. objects) are processed, guided the research.Design/methodology/approachA theoretical model was developed based on the literature and tested using multivariate analysis of variance (MANOVA) and structural equation modeling (SEM). The model proposed a mediating effect of pleasure in creating positive aesthetic evaluations and behavioral outcomes of the perceptual fluency effect. An online experiment (n=1,999) was employed with two levels of perceptual fluency.FindingsMANOVA results confirmed the perceptual fluency effect on aesthetic evaluation and pleasure. SEM analysis supported the proposed model. Pleasure had a stronger impact on behavioral intent than aesthetic evaluation. Theoretical and managerial implications of the perceptual fluency effect on online consumer behavior are discussed.Originality/valuePrevious research has not addressed perceptual fluency from a strong theoretical framework. The paper empirically tested and extended the perceptual fluency hypothesis. Although previous researchers observed the fluency effect on preference choices without testing the mediating effect of affect, this paper examined the mediating role of affect and confirmed the importance of pleasure in aesthetic evaluation. Also, this paper extends the scope of the perceptual fluency effect beyond aesthetic preference/evaluations to behavioral intent.

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Tài liệu tham khảo

Adaval, R. (2001), “Sometimes it just feels right: the differential weighting of affect‐consistent and affect‐inconsistent product information”, Journal of Consumer Research, Vol. 28, pp. 1‐17.

Aladwani, A.M. and Palvia, P.C. (2002), “Developing and validating an instrument for measuring user‐perceived web quality”, Information & Management, Vol. 39, pp. 467‐76.

Berlyne, D.E. (Ed.) (1974), Studies in the New Experimental Aesthetics, Hemisphere, Washington, DC.

Biddle, S.J.H. (2000), “Emotion, mood and physical activity”, in Biddle, S.J.H., Fox, K.R. and Boutcher, S.H. (Eds), Physical Activity and Psychological Well‐being, Routledge, London, pp. 63‐87.

Browne, H. (2000), “Accessibility and usability of information technology by the elderly”, available at: http://otal.umd.edu/UUGuide/hbrowne/ (accessed 24 January 2007).

Browne, M.W. and Cudeck, R. (1992), “Alternative ways of assessing model fit”, Sociological Methods & Research, Vol. 21, pp. 230‐58.

Carver, C.S. and Scheier, M.F. (1990), “Origins and functions of positive and negative affect: a control‐process view”, Psychological Review, Vol. 97, pp. 19‐35.

Chitturi, R., Raghunathan, R. and Mahajan, V. (2008), “Delight by design: the role of hedonic versus utilitarian benefits”, Journal of Marketing, Vol. 72, pp. 48‐63.

Daugherty, T., Li, H. and Biocca, F. (2008), “Consumer learning and the effects of virtual experience relative to indirect and direct product experience”, Psychology & Marketing, Vol. 25 No. 7, pp. 568‐86.

De Wulf, K., Schillewaert, N., Muylle, S. and Rangarajan, D. (2006), “The role of pleasure in web site success”, Information & Management, Vol. 43, pp. 434‐46.

Dodds, W.B., Monroe, K.B. and Grewal, D. (1991), “Effects of price, brand, and store information on buyers' product evaluations”, Journal of Marketing Research, Vol. 28 No. 3, pp. 307‐19.

Eisenberg, B. (2003), “Layout and visual clarity: not a matter of taste”, available at: http://clickz.com/showpage.html (accessed 24 January 2007).

Eroglu, S.A., Machleit, K.A. and Davis, L.M. (2003), “Empirical testing of a model of online store atmospherics and shopper responses”, Psychology & Marketing, Vol. 20 No. 2, pp. 139‐50.

Garbarino, E.C. and Edell, J.A. (1997), “Cognitive effort, affect, and choice”, Journal of Consumer Research, Vol. 24, pp. 147‐58.

Grace, D. and O'Cass, A. (2005), “An examination of the antecedents of repatronage intentions across different retail store formats”, Journal of Retailing and Consumer Services, Vol. 12, pp. 227‐43.

Green, S.B. and Thompson, M.S. (2006), “Structural equation modeling for conducting tests of differences in multiple means”, Psychosomatic Medicine, Vol. 68, pp. 706‐17.

Ha, Y. and Lennon, S.J. (2010), “Online visual merchandising (VMD) cues and consumer pleasure and arousal: purchasing versus browsing situation”, Psychology & Marketing, Vol. 27 No. 2, pp. 141‐65.

Hair, J., Black, B., Babin, B., Anderson, R. and Tatham, R. (2006), Multivariate Data Analysis, 6th ed., Prentice‐Hall, Upper Saddle River, NJ.

Hart, T.A. (2004), “Evaluation of web sites for older adults: how ‘senior‐friendly’ are they?”, available at: http://psychology.wichita.edu/surl/usabilitynews/61/older_adults.htm (accessed 3 February 2007).

Holbrook, M. and Hirschman, E. (1982), “The experiential aspects of consumption: consumer fantasies, feelings, and fun”, Journal of Consumer Research, Vol. 9, pp. 132‐40.

Hornik, J. (1993), “The role of affect in consumers' temporal judgments”, Psychology & Marketing, Vol. 1 No. 3, pp. 239‐55.

Internet Retailer (2005), “2005 top retail websites”, pp. 28‐30.

Jacoby, L.L. (1983), “Perceptual enhancement: persistent effects of an experience”, Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol. 9, pp. 21‐38.

Jacoby, L.L. and Dallas, M. (1981), “On the relationship between autobiographical memory and perceptual learning”, Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol. 9, pp. 21‐38.

Janiszewski, C. (1993), “Preattentive mere exposure effect”, Journal of Consumer Research, Vol. 20, pp. 376‐92.

Jones, M.A., Reynolds, K.E. and Arnold, M.J. (2006), “Hedonic and utilitarian shopping value: investigating differential effects on retail outcomes”, Journal of Business Research, Vol. 59 No. 9, pp. 974‐81.

Jupiter Research (2006), “Worldwide online population forecast, 2006 to 2010”, available at: http://jupiterresearch.com/bin/item.pl/research:concept/75/id=99411/ (accessed 1 February 2007).

Kaufman, P., Jayachadra, S. and Rose, R.L. (2006), “The role of relational embeddedness in retail buyers' selection of new products”, Journal of Marketing Research, Vol. 43 No. 4, pp. 580‐7.

Kelloway, E.K. (1998), Using LISREL for Structural Equation Modeling, Sage, London.

Labroo, A.A., Dhar, R. and Schwarz, N. (2008), “Of frog wines and frowning watches: semantic priming, perceptual fluency, and brand evaluation”, Journal of Consumer Research, Vol. 34, pp. 819‐31.

Leder, H. (2003), “Familiar and fluent! Style‐related processing hypotheses in aesthetic appreciation”, Empirical Studies of the Arts, Vol. 2 No. 2, pp. 165‐75.

Lee, A.Y. and Labroo, A.A. (2004), “The effect of conceptual and perceptual fluency on brand evaluation”, Journal of Marketing Research, Vol. 49, pp. 151‐65.

Lindgaard, G., Fernandes, G., Dudek, C. and Brown, J. (2006), “Attention web designers: you have 50 milliseconds to make a good first impression”, Behavior & Information Technology, Vol. 25 No. 2, pp. 115‐26.

McAlexander, J.H., Kim, S.K. and Roberts, S.D. (2003), “Loyalty: the influence of satisfaction and brand community integration”, Journal of Marketing Theory and Practice, Vol. 11 No. 4, pp. 1‐11.

MacCallum, R.C. (1995), “Model specification: procedures, strategies, and related issues”, in Hoyle, R. (Ed.), Structural Equation Modeling: Concepts, Issues, and Application, Sage, Thousand Oaks, CA.

MacCallum, R.C., Roznowski, M. and Necowitz, L.B. (1992), “Model modification in covariance structure analysis: the problem of capitalization on chance”, Psychological Bulletin, Vol. 111, pp. 490‐504.

Martindale, C., Moore, K. and Borkum, J. (1990), “Aesthetic preference: anomalous findings for Berlyne's psychobiological theory”, The American Journal of Psychology, Vol. 103 No. 1, pp. 53‐80.

Morrison, S. and Noyes, J. (2003), “A comparison of two computer fonts: serif vs. ornate sans serif”, Usability News, Vol. 5 No. 2, available at: http://surl.org/usabilitynews/52/UK_font.asp (accessed 30 September 2009).

North, A.C. and Hargreaves, D.J. (2000), “Collative variables versus prototypicality”, Empirical Studies of the Arts, Vol. 8 No. 1, pp. 13‐17.

Oliver, R.L., Rust, R.T. and Varki, S. (1997), “Customer delight: foundations, findings, and managerial insight”, Journal of Retailing, Vol. 73 No. 3, pp. 311‐36.

Promomagazine.com (2004), “Soft goods propel hard drives”, available at: http://promomagazine.com//mag//marketing_soft_goods_propel/ (accessed 6 February 2006).

Rajani, R. and Rosenberg, D. (1999), “Usable?… or not?… factors affecting the usability of websites”, available at: http://december.com/cmc/mag/1999/jam/rakros.html (accessed 24 January 2007).

Reber, R., Schwarz, N. and Winkielman, P. (2004), “Processing fluency and aesthetic pleasure: is beauty in the perceiver's processing experience?”, Personality and Social Psychology Review, Vol. 8 No. 4, pp. 364‐82.

Reber, R., Winkielman, P. and Schwarz, N. (1998), “Effects of perceptual fluency on affective judgments”, Psychological Science, Vol. 9 No. 1, pp. 45‐8.

Scarpi, D. (2006), “Fashion store between fun and usefulness”, Journal of Fashion Marketing & Management, Vol. 10 No. 1, pp. 7‐24.

Schenkman, B.N. and Jonsson, F.U. (2000), “Aesthetics and preferences of webpages”, Behavior & Information Technology, Vol. 19 No. 5, pp. 367‐77.

Schumacker, R.E. and Lomax, R.G. (2004), A Beginner's Guide to Structural Equation Modeling, 2nd ed., Lawrence Erlbawn Associates, Mahwah, NJ.

Schwarz, N. and Clore, G.L. (1983), “Mood, misattribution, and judgments of well‐being: information and directive functions of affective states”, Journal of Personality and Social Psychology, Vol. 45, pp. 513‐23.

Schwarz, N., Strack, F., Bless, H., Klumpp, G., Rittenauer‐Schatka, H. and Simons, A. (1991), “Ease of retrieval as information: another look at the availability heuristic”, Journal of Personality and Social Psychology, Vol. 61 No. 2, pp. 195‐202.

Shapiro, S. (1999), “When an ad's influence is beyond our conscious control: perceptual and conceptual fluency effects caused by incidental ad exposure”, Journal of Consumer Research, Vol. 26, pp. 16‐36.

Sheikh, H.R. and Bovik, A. (2005), “Information theoretic approaches to image quality assessment”, in Bovik, A.C. (Ed.), Handbook of Image and Video Processing, Elsevier Academic Press, Burlington, MA, pp. 975‐92.

Silvia, P.J. (2005), “Cognitive appraisals and interest in visual art: exploring an appraisal theory of aesthetic emotions”, Empirical Studies of the Arts, Vol. 23 No. 2, pp. 119‐33.

Veryzer, R.W. and Hutchinson, J.W. (1998), “The influence of unity and prototypicality on aesthetic responses to new product designs”, Journal of Consumer Research, Vol. 24 No. 4, pp. 374‐95.

Wang, C., Chen, Z., Chan, A. and Zheng, Z. (2000), “The influence of hedonic values on consumer behaviors”, Journal of Global Marketing, Vol. 14 No. 1, pp. 169‐86.

Whittlesea, B.W.A. (1993), “Illusions of familiarity”, Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol. 19, pp. 1235‐53.

Winkielman, P., Schwarz, N., Fazendeiro, T.A. and Reber, R. (2003), “The hedonic marking of processing fluency: implications for evaluative judgment”, in Musch, J. and Klauer, K.C. (Eds), The Psychology of Evaluation: Affective Processes in Cognition and Emotion, Lawrence Erlbaum Associates, Mahwah, NJ.

Wu, C.‐S., Cheng, F.‐F. and Yen, D.C. (2008), “The atmospheric factors of online storefront environment design: an empirical experiment in Taiwan”, Information & Management, Vol. 45, pp. 493‐8.

Zajonc, R.B. (1980), “Feeling and thinking: preferences need no inferences”, American Psychologist, Vol. 35, pp. 151‐75.