How Product–Environment Brightness Contrast and Product Disarray Impact Consumer Choice in Retail Environments

A conceptual model is developed to predict how consumers respond to in-store displays as a function of the extent to which a product’s brightness level (i.e., its perceived light-emitting quality) contrasts with that of its background environment and the product’s level of disarray. We show that products whose brightness levels contrast more with those of the retail environment are more preferred because they visually “pop out” (e.g., a dark product in a brightly lit store environment). However, this preference reverses when the products that pop out appear in disarray (i.e., are perceived to have been previously touched by other shoppers). Because most stores are bright environments, darker (vs. lighter) products in disarray are more likely to be perceived as contaminated and less pleasant, leading to avoidance behaviors, evident in reduced sales and preference. Theoretical and managerial implications are discussed.

[1]  I. Vermeir,et al.  Altering speed of locomotion , 2016 .

[2]  Teresa A. Summers,et al.  Shedding some light on store atmospherics: influence of illumination on consumer behavior , 2001 .

[3]  N. Scott-Samuel,et al.  Luminosity—A perceptual “feature” of light-emitting objects? , 2006, Vision Research.

[4]  H. Nothdurft Salience from feature contrast: additivity across dimensions , 2000, Vision Research.

[5]  Karol Myszkowski,et al.  Apparent Greyscale: A Simple and Fast Conversion to Perceptually Accurate Images and Video , 2008, Comput. Graph. Forum.

[6]  H. Helson,et al.  The role of spectral energy of source and background color in the pleasantness of object colors. , 1970, Applied optics.

[7]  P. Valdez,et al.  Effects of color on emotions. , 1994, Journal of experimental psychology. General.

[8]  J. Theeuwes Top-down and bottom-up control of visual selection. , 2010, Acta psychologica.

[9]  M. Carrasco Visual attention: The past 25 years , 2011, Vision Research.

[10]  Ryan Rahinel,et al.  Physical Order Produces Healthy Choices, Generosity, and Conventionality, Whereas Disorder Produces Creativity , 2013, Psychological science.

[11]  Jennifer J. Argo,et al.  Consumer Contamination: How Consumers React to Products Touched by Others , 2006 .

[12]  Zsuzsa Kaldy,et al.  A new method for calibrating perceptual salience across dimensions in infants: the case of color vs. luminance. , 2006, Developmental science.

[13]  Stephen M. Nowlis,et al.  The Influence of Disorganized Shelf Displays and Limited Product Quantity on Consumer Purchase , 2013 .

[14]  Jacob L. Orquin,et al.  Attention and choice: a review on eye movements in decision making. , 2013, Acta psychologica.

[15]  Ann E. Schlosser Applying the Functional Theory of Attitudes to Understanding the Influence of Store Atmosphere on Store Inferences , 1998 .

[16]  Richard F. Yalch,et al.  Effects of Store Music on Shopping Behavior , 1990 .

[17]  K. Murray,et al.  The Effect of Weather on Consumer Spending , 2010 .

[18]  Michael B. Lewis,et al.  Searching for faces in scrambled scenes , 2005 .

[19]  R. Pieters,et al.  Visual attention during brand choice : The impact of time pressure and task motivation , 1999 .

[20]  C. Koch,et al.  Relative visual saliency differences induce sizable bias in consumer choice , 2012 .

[21]  A. Hayes Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[22]  H. Nothdurft Attention shifts to salient targets , 2002, Vision Research.

[23]  Michael H. Brill,et al.  Color appearance models , 1998 .

[24]  Kristopher J Preacher,et al.  Statistical mediation analysis with a multicategorical independent variable. , 2014, The British journal of mathematical and statistical psychology.

[25]  A. Parasuraman,et al.  The influence of store environment on quality inferences and store image , 1994 .

[26]  A. E. Crowley,et al.  The effects of color in store design. , 1983 .

[27]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[28]  D. Jameson,et al.  Theory of brightness and color contrast in human vision. , 1964, Vision research.

[29]  W. Janssens,et al.  The Presence of a Pleasant Ambient Scent in a Fashion Store , 2013 .

[30]  Judgment is not color blind: The impact of automatic color preference on product and advertising preferences , 2014 .

[31]  D. Polzella,et al.  Dimensions of color harmony , 1993 .

[32]  A. Parsons The Association between Daily Weather and Daily Shopping Patterns , 2001 .

[33]  Jennifer J. Argo,et al.  Positive Consumer Contagion: Responses to Attractive Others in a Retail Context , 2008 .

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

[35]  Charles Spence,et al.  Store Atmospherics: A Multisensory Perspective , 2014 .

[36]  Y. Nayatani Simple estimation methods for the Helmholtz—Kohlrausch effect , 1997 .

[37]  P. Kotler Atmospherics as a Marketing Tool , 1974 .

[38]  H. Nothdurft Focal attention in visual search , 1999, Vision Research.

[39]  Mark Stanley Rea,et al.  The IESNA lighting handbook : reference & application , 2000 .

[40]  Svetlana Bialkova,et al.  An efficient methodology for assessing attention to and effect of nutrition information displayed front-of-pack , 2011 .

[41]  Dale F. Duhan,et al.  Point-of-purchase displays, product organization, and brand purchase likelihoods , 1999 .

[42]  Strength of feature contrast mediates interaction among feature domains. , 2003, Spatial vision.

[43]  Boyoun Chae,et al.  Environmental Disorder Leads to Self-Regulatory Failure , 2014 .

[44]  Markus A. Maier,et al.  Color psychology: effects of perceiving color on psychological functioning in humans. , 2014, Annual review of psychology.

[45]  Gavan J. Fitzsimons,et al.  Product Contagion: Changing Consumer Evaluations through Physical Contact with “Disgusting” Products , 2007 .

[46]  Erik Hunter,et al.  Exploring the relationship between nature sounds, connectedness to nature, mood and willingness to buy sustainable food: A retail field experiment , 2016, Appetite.

[47]  Paul Bloom,et al.  Celebrity Contagion and the Value of Objects , 2011 .

[48]  Mario Pandelaere,et al.  When colors backfire: The impact of color cues on moral judgment , 2013 .

[49]  D. Lamy,et al.  Task-irrelevant stimulus salience affects visual search , 2009, Vision Research.

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

[51]  Richard M Shiffrin,et al.  Salience, Perceptual Dimensions, and the Diversion of Attention. , 2015, The American journal of psychology.

[52]  Terry L. Childers,et al.  Measurement of Individual Differences in Visual Versus Verbal Information Processing , 1985 .

[53]  M. Bradley,et al.  Emotion and motivation I: defensive and appetitive reactions in picture processing. , 2001, Emotion.

[54]  J. E. Russo,et al.  An Eye-Fixation Analysis of Choice Processes for Consumer Nondurables , 1994 .

[55]  Mary Jo Bitner,et al.  Evaluating service encounters: The effects of physical surroundings and employee responses. , 1990 .

[56]  Charles S. Areni,et al.  The influence of in-store lighting on consumers' examination of merchandise in a wine store , 1994 .

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