Organizing Products with Complements versus Substitutes: Effects on Store Preferences as a Function of Effort and Assortment Perceptions

Retailers often organize at least part of their assortment by displaying complementary products from different product categories together (e.g., a pair of pants with a shirt) rather than grouping items by product type (e.g., a pair of pants with other pants). However, little is known about how retailers should choose between complement-based and substitute-based organizations. The present paper shows that consumers’ preferences for such store organizations are a function of the effort and assortment perceptions cued by these organizational formats. Holding the underlying assortment constant, complement-based organizations are always more effortful than substitute-based organizations. This difference in effort can create downward pressure on complement-based store choice. Moreover, the effects of organization format on assortment perception depend on whether consumers hold a hedonic or utilitarian focus. When consumers have a highly hedonic focus, complement-based based stores create more positive assortment perceptions than substitute-based stores. Such positive assortment perceptions can, in turn, raise complement-based store choice. However, as consumers’ utilitarian focus increases, substitute-based assortments are seen as both easier and more attractive, leading to a strong advantage in store choice. Our findings provide actionable guidance for retailers considering various store organizations and suggest opportunities for future research.

[1]  Avinandan Mukherjee,et al.  The Effects of Merchandise Coordination and Juxtaposition on Consumers’ Product Evaluation and Purchase Intention in Store-Based Retailing , 2005 .

[2]  Katherine N. Lemon,et al.  The Effect of Local Consideration Sets on Global Choice Between Lower Price and Higher Quality , 1993 .

[3]  R. Pieters,et al.  Anticipated identification costs: Improving assortment evaluation by diagnostic attributes , 2007 .

[4]  John G. Lynch,et al.  Toward a Reconciliation of Market Power and Information Theories of Advertising Effects on Price Elasticity , 1995 .

[5]  Leslie Davis Burns,et al.  Gender Differences in the Dimensional Structure of Apparel Shopping Satisfaction Among Korean Consumers: The Role of Hedonic Shopping Value , 2004 .

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

[7]  Dan Ariely,et al.  Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences , 2000 .

[8]  Peter Boatwright,et al.  Reducing Assortment: An Attribute-Based Approach , 2001 .

[9]  Kristin Diehl,et al.  When Two Rights Make a Wrong: Searching Too Much in Ordered Environments , 2005 .

[10]  E. Okada Justification Effects on Consumer Choice of Hedonic and Utilitarian Goods , 2005 .

[11]  Michael H. Birnbaum,et al.  How to show that 9 > 221 : Collect judgments in a between-subjects design , 1999 .

[12]  B. Kahn,et al.  The Influence of Assortment Structure on Perceived Variety and Consumption Quantities , 2004 .

[13]  Kirk L. Wakefield,et al.  Situational price sensitivity: the role of consumption occasion, social context and income , 2003 .

[14]  R. Dhar The Effect of Decision Strategy on Deciding to Defer Choice , 1996 .

[15]  Wayne D. Hoyer,et al.  Consumers’ Perceptions of the Assortment Offered in a Grocery Category: The Impact of Item Reduction , 1998 .

[16]  F. Kardes,et al.  The Role of Direction of Comparison, Attribute-Based Processing, and Attitude-Based Processing in Consumer Preference , 1999 .

[17]  R. Batra,et al.  Measuring the hedonic and utilitarian sources of consumer attitudes , 1991 .

[18]  Elizabeth Cooper-Martin,et al.  Effects of information format and similarity among alternatives on consumer choice processes , 1993 .

[19]  M. Bravo,et al.  Object recognition in dense clutter , 2006, Perception & psychophysics.

[20]  Eric T. Bradlow,et al.  The Variety of an Assortment , 1999 .

[21]  Wendy W. Moe,et al.  The Influence of Goal‐Directed and Experiential Activities on Online Flow Experiences , 2003 .

[22]  Girish N. Punj,et al.  The effects of attribute concreteness and prominence on selective processing, choice, and search experience , 2010 .

[23]  Peter H. Bloch,et al.  Shopping Without Purchase: an Investigation of Consumer Browsing Behavior , 1983 .

[24]  R. Dhar,et al.  Consumer Choice between Hedonic and Utilitarian Goods , 2000 .

[25]  Arnaud Rey,et al.  Do distractors interfere with memory for study pairs in associative recognition? , 2006, Memory & cognition.

[26]  Basil G. Englis,et al.  Using consumption constellations to develop integrated communications strategies , 1996 .

[27]  Joseph C. Nunes,et al.  The Effect of Product Assortment Changes on Customer Retention , 2005 .

[28]  Chris Janiszewski,et al.  The Influence of Display Characteristics on Visual Exploratory Search Behavior , 1998 .

[29]  Kenneth D. Bahn,et al.  When Do Large Product Assortments Benefit Consumers? An Information-Processing Perspective , 2009 .

[30]  Michael H. Birnbaum,et al.  How to show that 9 > 221 : Collect judgments in a between-subjects design , 1999 .

[31]  Leigh McAlister,et al.  Consumers’ Perceptions of the Assortment Offered in a Grocery Category: The Impact of Item Reduction: , 1998 .

[32]  John G. Lynch,et al.  Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity , 2003 .

[33]  Michael R. Solomon,et al.  A role-theoretic approach to product symbolism: Mapping a consumption constellation , 1991 .

[34]  K. Diehl,et al.  Retail Choice Architecture: The Effects of Benefit- and Attribute-Based Assortment Organization on Consumer Perceptions and Choice , 2013 .

[35]  Gary J. Russell,et al.  Multiple-Category Decision-Making: Review and Synthesis , 1999 .

[36]  Yoram Wind,et al.  Toward a Change in the Focus of Marketing Analysis: From a Single Brand to an Assortment Jerry Wind , 1977 .

[37]  A. Chernev Decision Focus and Consumer Choice Among Assortments , 2006 .

[38]  R. Belk,et al.  Culture and Consumption: New Approaches to the Symbolic Character of Consumer Goods and Activities , 1989 .

[39]  G. Zauberman The Intertemporal Dynamics of Consumer Lock-in , 2003 .

[40]  Ivan Jeliazkov,et al.  Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior , 2013, Mark. Sci..

[41]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[42]  Barbara E. Kahn,et al.  Perceptions of assortment variety: The effects of congruency between consumers’ internal and retailers’ external organization , 2005 .

[43]  Steven M. Shugan The Cost Of Thinking , 1980 .

[44]  A. Chernev Product Assortment and Consumer Choice: An Interdisciplinary Review , 2012 .

[45]  M. R. Solomon The Forest or the Trees? A Gestalt Approach to Symbolic Consumption , 1987 .

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

[47]  J. Bettman,et al.  Effects of Information Presentation Format on Consumer Information Acquisition Strategies , 1977 .

[48]  Stephen J. Hoch,et al.  Shelf management and space elasticity , 1994 .

[49]  P. Todd,et al.  Can There Ever Be Too Many Options? A Meta-Analytic Review of Choice Overload , 2010 .

[50]  M. Lepper,et al.  The Construction of Preference: When Choice Is Demotivating: Can One Desire Too Much of a Good Thing? , 2006 .

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

[52]  B. Kahn,et al.  Variety for sale: Mass customization or mass confusion? , 1998 .