Evoking online consumer impulse buying through virtual layout schemes

Drawing upon the ‘stimulus-organism-response’ framework, this paper examines how the ease of navigation (EON) of a website affects consumers' online impulse buying. We also compared the effects of various virtual layouts (i.e. grid, freeform, racetrack, and mix grid–freeform) on consumers' perceptions of EON, emotional responses, and the urge to buy impulsively. Based on questionnaire responses from 216 participants in a stratified survey, we found that EON significantly influences consumers' emotional responses, pleasantness, and arousal, which subsequently affects their urge to buy impulsively. We also found that compared with the other three layouts, manifestations of navigability, freeform is the easiest to navigate, and is able to elicit the highest level of pleasantness and the strongest urge to buy impulsively. The findings of this study provide important implications for impulse buying research and practice.

[1]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[2]  Philip A. Titus,et al.  The consumer-environment interaction: An introduction to the special issue , 1994 .

[3]  C. Whissell,et al.  A Dictionary of Affect in Language: IV. Reliability, Validity, and Applications , 1986 .

[4]  Yong Jin Kim,et al.  Do visitors' interest level and perceived quantity of web page content matter in shaping the attitude toward a web site? , 2006, Decis. Support Syst..

[5]  K. Manjunatha,et al.  Retailing , 2011 .

[6]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory , 1982 .

[7]  Dennis W. Rook.  The Buying Impulse , 1987 .

[8]  Derek N. Hassay,et al.  Compulsive buying: An examination of the consumption motive , 1996 .

[9]  Debra A. Laverie,et al.  Exploring Impulse Purchasing on the Internet , 2004 .

[10]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[11]  N. Frijda.  The place of appraisal in emotion , 1993 .

[12]  Naveen Donthu,et al.  A Profile of the Internet Shopper: Evidence from Six Countries , 2009 .

[13]  Jane Webster,et al.  Enhancing the Design of Web Navigation Systems: The Influence of User Disorientation on Engagement and Performance , 2006, MIS Q..

[14]  C. Holahan.  Cognition and Environment: Functioning in an Uncertain World. , 1984 .

[15]  Maria Madlberger,et al.  The role of atmospheric cues in online impulse-buying behavior , 2013, Electron. Commer. Res. Appl..

[16]  Alexandre N. Tuch,et al.  Visual complexity of websites: Effects on users' experience, physiology, performance, and memory , 2009, Int. J. Hum. Comput. Stud..

[17]  Dennis W. Rook,et al.  Normative Influences on Impulsive Buying Behavior , 1995 .

[18]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[19]  M. Sobel.  Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .

[20]  Kristopher J Preacher,et al.  SPSS and SAS procedures for estimating indirect effects in simple mediation models , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[21]  Georgios I. Doukidis,et al.  Virtual store layout: an experimental comparison in the context of grocery retail , 2004 .

[22]  Marshall Scott Poole,et al.  Affect in Web Interfaces: A Study of the Impacts of Web Page Visual Complexity and Order , 2010, MIS Q..

[23]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[24]  A. Mathur,et al.  Store environment and consumer purchase behavior: Mediating role of consumer emotions , 1997 .

[25]  Prashanth U. Nyer,et al.  The role of emotions in marketing , 1999 .

[26]  Barton A. Weitz,et al.  When Should a Retailer Create an Exciting Store Environment , 2006 .

[27]  Talya Porat,et al.  It's a Pleasure Buying Here: The Effects of Web-Store Design on Consumers' Emotions and Attitudes , 2011, Hum. Comput. Interact..

[28]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

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

[30]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[31]  Janjaap Semeijn,et al.  E‐services and offline fulfilment: how e‐loyalty is created , 2005 .

[32]  Clifford Nass,et al.  Emotion in human-computer interaction , 2002 .

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

[34]  Xueming Luo.  How Does Shopping with Others Influence Impulsive Purchasing? , 2005 .

[35]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[36]  Mohamed Khalifa,et al.  System Design Effects on Online Impulse Buying , 2012, Internet Res..

[37]  Jochen Wirtz,et al.  Congruency of Scent and Music As a Driver of In-Store Evaluations and Behavior , 2001 .

[38]  Irini Rigopoulou,et al.  Virtual Store Layout Effects on Consumer Behaviour: Applying an Environmental Psychology Approach in the Online Travel Industry , 2011, Internet Res..

[39]  R. Yan,et al.  Application of the Stimulus-Organism-Response model to the retail environment: the role of hedonic motivation in impulse buying behavior , 2011 .

[40]  Shaohan Cai,et al.  Services quality dimensions of Internet retailing: an exploratory analysis , 2003 .

[41]  S. Beatty,et al.  Impulse buying: Modeling its precursors , 1998 .

[42]  Joseph S. Valacich,et al.  Online Impulse Buying: Understanding the Interplay between Consumer Impulsiveness and Website Quality , 2011, J. Assoc. Inf. Syst..

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

[44]  Francesco Massara,et al.  Investigating the consumer–environment interaction through image modelling technologies , 2006 .

[45]  David A. Griffith,et al.  An examination of the influences of store layout in online retailing , 2005 .

[46]  Víctor Padrón‐Robaina,et al.  Tangibility as a quality factor in electronic commerce b2c , 2006 .

[47]  J. Russell,et al.  Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant. , 1999, Journal of personality and social psychology.

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

[49]  Jakob Nielsen,et al.  Designing web usability , 1999 .

[50]  S. Baron.  Retailing Management , 1992 .

[51]  L. F. Barrett.  Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus , 1998 .

[52]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[53]  Tibert Verhagen,et al.  The influence of online store beliefs on consumer online impulse buying: A model and empirical application , 2011, Inf. Manag..

[54]  A. Hausman,et al.  A multi‐method investigation of consumer motivations in impulse buying behavior , 2000 .

[55]  S. Huettel,et al.  Males and females use different distal cues in a virtual environment navigation task. , 1998, Brain research. Cognitive brain research.

[56]  R. Belk.  Situational Variables and Consumer Behavior , 1975 .

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

[58]  P. Stenstrom,et al.  Online Hunting and Gathering: An Evolutionary Perspective on Sex Differences in Website Preferences and Navigation , 2008, IEEE Transactions on Professional Communication.

[59]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[60]  Andrea Groeppel-Klein.  Arousal and consumer in-store behavior , 2005, Brain Research Bulletin.

[61]  Daniel C. Smith,et al.  The Effects of Brand Extensions on Market Share and Advertising Efficiency , 1992 .

[62]  Edward A. Vessel,et al.  Perceptual Pleasure and the Brain , 2006 .

[63]  O. Byung Kwon,et al.  Impact of website information design factors on consumer ratings of web-based auction sites , 2002, Behav. Inf. Technol..

[64]  Fiona Fui-Hoon Nah,et al.  HCI Research Issues in Electronic Commerce , 2002, J. Electron. Commer. Res..

[65]  Helen Petrie,et al.  Tension, what tension?: Website accessibility and visual design , 2003, W4A '04.

[66]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[67]  John Michael Pearson,et al.  Integrating website usability with the electronic commerce acceptance model , 2011, Behav. Inf. Technol..

[68]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[69]  Mark P. Leach,et al.  Building customer relations over the Internet , 2002 .

[70]  B. Kahn,et al.  Cross-category effects of induced arousal and pleasure on the Internet shopping experience , 2002 .

[71]  R. E. Milliman,et al.  Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence , 2000 .

[72]  Joseph S. Valacich,et al.  The Influence of Website Characteristics on a Consumer's Urge to Buy Impulsively , 2009, Inf. Syst. Res..

[73]  Thomas Adelaar,et al.  Effects of media formats on emotions and impulse buying intent , 2003, J. Inf. Technol..

[74]  N. Frijda.  Impulsive action and motivation , 2010, Biological Psychology.

[75]  Kristopher J Preacher,et al.  Effect size measures for mediation models: quantitative strategies for communicating indirect effects. , 2011, Psychological methods.