Increasing customer purchase intention through product return policies: The pivotal impacts of retailer brand familiarity and product categories

Abstract This study gauges customer perspectives to investigate how return policy generosity (the degree to which a retailer imposes minimal restrictions on returns) influences customer-perceived value and customer purchase intention. It also examines two moderators, retailer brand familiarity (the extent to which the retailer brand is well-known) and product categories (the difference between products with respect to the magnitude of effort required to make a return). An experiment with a 2 × 2 × 2 factorial design was conducted. The results show that return policy generosity increases customer purchase intention by enhancing the perceived value of the policy. Lesser-known retailers benefit more from generous return policies than their well-known competitors, particularly when a product requires significant return effort. Well-known retailers benefit from offering generous return policies only for product categories that involve low levels of return effort. The findings of this study suggest that if a retailer formulates a return policy without considering the moderating effects of retailer brand familiarity and product category, then it will tend to over-invest if the return policy is generous.

[1]  Chris Pullig,et al.  Consumer Evaluation of Low Price Guarantees: The Moderating Role of Reference Price and Store Image , 2002 .

[2]  Glenn B. Voss,et al.  The Influence of Multiple Store Environment Cues on Perceived Merchandise Value and Patronage Intentions , 2002 .

[3]  R. Walters,et al.  Consumer perceptions of refund depth and competitive scope in price-matching guarantees: effects on store patronage , 2003 .

[4]  Dubravko Radic,et al.  Rating E-Tailers' Money-Back Guarantees , 2008 .

[5]  Randall L. Schultz,et al.  Product Returns on the Internet: A Case of Mixed Signals? , 2010 .

[6]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[7]  Dhruv Grewal,et al.  The influence of internet-retailing factors on price expectations , 2003 .

[8]  L. Harris Fraudulent consumer returns: exploiting retailers' return policies , 2010 .

[9]  Clay M. Voorhees,et al.  Conveying Trustworthiness to Online Consumers: Reactions to Consensus, Physical Store Presence, Brand Familiarity, and Generalized Suspicion , 2010 .

[10]  A. d’Astous,et al.  Effects of retailer post-purchase guarantee policies on consumer perceptions with the moderating influence of financial risk and product complexity , 2008 .

[11]  J. J. Cronin,et al.  Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments , 2000 .

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

[13]  Stacy L. Wood Remote Purchase Environments: The Influence of Return Policy Leniency on Two-Stage Decision Processes , 2001 .

[14]  Jens Hogreve,et al.  Understanding Money-Back Guarantees: Cognitive, Affective, and Behavioral Outcomes , 2011 .

[15]  David Zilberman,et al.  Demonstrations and money-back guarantees: market mechanisms to reduce uncertainty , 2001 .

[16]  Julie M. Hays,et al.  Service guarantee strength: The key to service quality , 2006 .

[17]  Stanley E. Griffis,et al.  The customer consequences of returns in online retailing: An empirical analysis , 2012 .

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

[19]  Gary A. Steiner,et al.  A Model for Predictive Measurements of Advertising Effectiveness , 1961 .

[20]  Elliot Rabinovich,et al.  Managing Internet Product Returns: A Focus on Effective Service Operations , 2007, Decis. Sci..

[21]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[22]  J. Petersen,et al.  Are Product Returns a Necessary Evil? Antecedents and Consequences , 2009 .

[23]  Eitan Gerstner,et al.  Offering low price guarantees to improve customer retention , 2006 .

[24]  David Zilberman,et al.  Valuation and management of money-back guarantee options , 2002 .

[25]  Chad W. Autry,et al.  Liquidity implications of reverse logistics for retailers: A Markov chain approach , 2005 .

[26]  Celina González Mieres,et al.  Antecedents of the difference in perceived risk between store brands and national brands , 2006 .

[27]  M. Laroche,et al.  Brand familiarity and confidence as determinants of purchase intention: An empirical test in a multiple brand context , 1996 .

[28]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

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

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

[31]  Ted Roselius Consumer Rankings of Risk Reduction Methods , 1971 .

[32]  Kevin Lane Keller,et al.  Brand Familiarity and Advertising Repetition Effects , 2003 .

[33]  Sukki Yoon,et al.  Shopping plans, buying motivations, and return policies: impacts on product returns and purchase likelihoods , 2016 .

[34]  Lisa D. Ordóñez,et al.  Effect of effort and deadlines on consumer product returns , 2012 .

[35]  M. Laroche,et al.  How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns , 2014 .

[36]  J. Swait,et al.  Brands as Signals: A Cross-Country Validation Study: , 2006 .

[37]  Karsten Hansen,et al.  The Option Value of Returns: Theory and Empirical Evidence , 2009, Mark. Sci..

[38]  R. J. Kent,et al.  Competitive Interference Effects in Consumer Memory for Advertising: The Role of Brand Familiarity , 1994 .

[39]  John O. Summers,et al.  Checking the Success of Manipulations in Marketing Experiments , 1986 .

[40]  Scott M. Davis,et al.  Money back guarantees in retailing: matching products to consumer tastes , 1995 .

[41]  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.

[42]  Dilip Chhajed,et al.  Production, Manufacturing and Logistics An integrated product returns model with logistics and marketing coordination , 2005 .

[43]  S. Ramaswami,et al.  Influence of Image and Familiarity on Consumer Response to Negative Word-of-Mouth Communication About Retail Entities , 2007 .

[44]  Holly A. Syrdal,et al.  The Effect of Return Policy Leniency on Consumer Purchase and Return Decisions: A Meta-analytic Review , 2016 .

[45]  Rodney W. Thomas When Student Samples Make Sense in Logistics Research , 2011 .

[46]  Zhi Pei,et al.  E-tailer׳s return policy, consumer׳s perception of return policy fairness and purchase intention , 2014 .

[47]  Kenneth D. Bahn,et al.  Information and its impact on consumers׳ reactions to restrictive return policies , 2014 .

[48]  Rosellina Ferraro,et al.  The Interplay among Category Characteristics, Customer Characteristics, and Customer Activities on in-Store Decision Making , 2009 .

[49]  Dhruv Grewal,et al.  Optimal Returns Policy under Demand Uncertainty , 2010 .