Affective and Cognitive Online Shopping Experience

The objective of this study was to examine the effects of image interactivity technology (IIT) features and an individual difference, experimenting with appearance (EA), on consumers’ shopping enjoyment, risk perception, and attitude toward an online retailer. We conducted a between-participant experimental study using a convenience sample of college students. A total of 206 participants provided usable responses for structural equation modeling analysis. The results showed that the level of IIT and EA positively affected shopping enjoyment as well as decreased perceived risk toward the online retailer. In turn, shopping enjoyment and perceived risk significantly influenced the consumers’ attitude toward the online retailer, as hypothesized. The findings of the study suggest that e-commerce business for online apparel retailers may continuously need to develop richer IIT features (innovative yet playful) to meet consumers’ demand and secure consumers’ loyalty.

[1]  S. Forsythe,et al.  Adoption of Virtual Try-on technology for online apparel shopping , 2008 .

[2]  Sharron J. Lennon,et al.  Information components of apparel retail web sites: task relevance approach , 2007 .

[3]  S. Forsythe,et al.  Hedonic usage of product virtualization technologies in online apparel shopping , 2007 .

[4]  A. Fiore,et al.  Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer☆ , 2007 .

[5]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[6]  Jihyun Kim,et al.  The Importance of Perceived Consumption Delay in Internet Shopping , 2007 .

[7]  Tibert Verhagen,et al.  Perceived risk and trust associated with purchasing at electronic marketplaces , 2006, Eur. J. Inf. Syst..

[8]  A. Fiore,et al.  The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses , 2006 .

[9]  L. Stoel,et al.  On-line product presentation: Effects on mood, perceived risk, and purchase intention , 2005 .

[10]  A. Fiore,et al.  For fun and profit: Hedonic value from image interactivity and responses toward an online store , 2005 .

[11]  A. Fiore,et al.  Effect of image interactivity technology on consumer responses toward the online retailer , 2005 .

[12]  Jihyun Kim,et al.  A consumer shopping channel extension model: attitude shift toward the online store , 2005 .

[13]  Arvind Rangaswamy,et al.  Opportunities and challenges in multichannel marketing: An introduction to the special issue , 2005 .

[14]  Barry J. Babin,et al.  Perceived appropriateness and its effect on quality, affect and behavior , 2004 .

[15]  Grace I. Kunz,et al.  Individual differences, motivations, and willingness to use a mass customization option for fashion products , 2004 .

[16]  Lisa R. Klein.  Creating virtual product experiences: The role of telepresence , 2003 .

[17]  Ann Marie Fiore,et al.  Influence of image interactivity on approach responses towards an online retailer , 2003, Internet Res..

[18]  Lenita M. Davis,et al.  Empirical testing of a model of online store atmospherics and shopper responses , 2003 .

[19]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[20]  Ann Marie Fiore,et al.  Psychographic Variables Affecting Willingness to Use Body-Scanning , 2003 .

[21]  Frank Biocca,et al.  The Role of Virtual Experience in Consumer Learning , 2003 .

[22]  Elizabeth H. Cox.  Changing channels , 2002, Nature Structural Biology.

[23]  S. Stashevsky,et al.  Perceived risks as barriers to Internet and e‐commerce usage , 2002 .

[24]  R. Goldsmith.  Explaining and Predicting Consumer Intention to Purchase Over the Internet: An Exploratory Study , 2002 .

[25]  Godwin J. Udo,et al.  Factors Affecting E-Commerce Web Site Effectiveness , 2002, J. Comput. Inf. Syst..

[26]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[27]  Ajit Kambil,et al.  Consumer Behavior in Web-Based Commerce: An Empirical Study , 2001, Int. J. Electron. Commer..

[28]  R. Zajonc.  Mere Exposure: A Gateway to the Subliminal , 2001 .

[29]  Lenita M. Davis,et al.  Atmospheric qualities of online retailing: A conceptual model and implications , 2001 .

[30]  Sarah Cosbey,et al.  Clothing interest, clothing satisfaction and self perceptions of sociability, emotional stability, and dominance , 2001 .

[31]  Hairong Li,et al.  Characteristics of virtual experience in electronic commerce: A protocol analysis , 2001 .

[32]  H. Raghav Rao,et al.  On risk, convenience, and Internet shopping behavior , 2000, CACM.

[33]  Joseph M. Jones,et al.  Print and Internet catalog shopping: assessing attitudes and intentions , 2000, Internet Res..

[34]  M. Fisher,et al.  Rocket-Science Retailing Is Almost Here: Are You Ready? , 2000 .

[35]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[36]  Laku Chidambaram,et al.  A test of the technology acceptance model: the case of cellular telephone adoption , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[37]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[38]  Efraim Turban,et al.  Determinants of successful Website design: relative importance and recommendations for effectiveness , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[39]  G. Wu,et al.  Perceived Interactivity and Attitude toward Web Sites, In Proceedings of the Conference of the American Academy of Advertising: . , 1999 .

[40]  B. Byrne.  Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming , 1998 .

[41]  Lisa R. Klein.  Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods , 1998 .

[42]  Sandra Forsythe,et al.  Shopping Enjoyment, Perceived Time Poverty, and Time Spent Shopping , 1996 .

[43]  William R. Darden,et al.  Good and bad shopping vibes: Spending and patronage satisfaction , 1996 .

[44]  D. Lehmann,et al.  Reasons for Substantial Delay in Consumer Decision Making , 1995 .

[45]  R. Donovan.  Store atmosphere and purchasing behavior , 1994 .

[46]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[47]  Paul Kline,et al.  An easy guide to factor analysis , 1993 .

[48]  Mary Jo Bitner,et al.  Servicescapes: The Impact of Physical Surroundings on Customers and Employees: , 1992 .

[49]  Molly Eckman,et al.  Toward a Model of the In-Store Purchase Decision Process: Consumer Use of Criteria for Evaluating Women's Apparel , 1990 .

[50]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[51]  Edward F. McQuarrie,et al.  The Zaichkowsky Personal Involvement Inventory: Modification and Extension , 1987 .

[52]  L. Hayduk.  Structural equation modeling with LISREL , 1987 .

[53]  J. Rossiter,et al.  Store atmosphere: an environmental psychology approach , 1982 .

[54]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[55]  Lois M. Gurel,et al.  Clothing Interest: Conceptualization and Measurement , 1979 .

[56]  J. Russell,et al.  An approach to environmental psychology , 1974 .

[57]  G. Balabanis,et al.  Consumer Attitudes Towards Multi-Channel Retailers' Web Sites: The Role of Involvement, Brand Attitude, Internet Knowledge, and Visit Duration , 1970, Journal of Business Strategies.

[58]  L. Cronbach,et al.  Construct validity in psychological tests. , 1955, Psychological bulletin.

[59]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .