Do the Means and the Source Matter ? A Study on the Actual Usage of Digitally Disseminated Coupons

How to effectively distribute coupons digitally to consumers who may exercise them remains an enduring, yet important, issue to address. In this study, we seek to answer two questions. First, would the dissemination of product discount coupons through mobile technology, such as the mobile phone network via the short-message-service (SMS), yield different effects on consumers, compared to a more traditional communication technology such as e-mail? Second, does the source, that is, the merchant or referral from peers, matter to a consumer? We build on the theoretical lens of cognitive effort (technology) and social capital (source) to theorize and empirically validate the conjectures through a real-world field experiment spanning four weeks. In terms of technology, the results indicate no significant difference in terms of the usage rate of coupons between the two technological means through which the coupons were disseminated. However, in terms of the source, we observed a higher propensity of using coupons received from a peer as compared to coupons received from a merchant. Furthermore, the forwarding rate of the discount coupons was significantly higher via e-mail as compared to SMS. Implications for research and practice are discussed

[1]  Eyal Biyalogorsky,et al.  Customer Referral Management: Optimal Reward Programs , 2000 .

[2]  Tomás Bayón,et al.  The chain from customer satisfaction via word-of-mouth referrals to new customer acquisition , 2007 .

[3]  Izak Benbasat,et al.  Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice , 1999, MIS Q..

[4]  C. Narasimhan.  A Price Discrimination Theory of Coupons , 1984 .

[5]  Cynthia M. Webster,et al.  Word-Of-Mouth Communications: a Motivational Analysis , 1998 .

[6]  Arno Scharl,et al.  An investigation and conceptual model of SMS marketing , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[7]  Eric R. Spangenberg,et al.  Development of a Scale to Measure Consumer Skepticism Toward Advertising , 1998 .

[8]  Tim Mazzarol,et al.  Factors influencing word of mouth effectiveness: receiver perspectives , 2008 .

[9]  W. Shadish,et al.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference , 2001 .

[10]  R. Putnam.  Tuning In, Tuning Out: The Strange Disappearance of Social Capital in America , 1995, PS: Political Science & Politics.

[11]  Aradhna Krishna,et al.  Short- or Long-Duration Coupons: The Effect of the Expiration Date on the Profitability of Coupon Promotions , 1999 .

[12]  R. Rettie,et al.  Text message advertising: Response rates and branding effects , 2005 .

[13]  Sandeep Krishnamurthy,et al.  A Comprehensive Analysis of Permission Marketing , 2006, J. Comput. Mediat. Commun..

[14]  J. Jeffrey Inman,et al.  Do Shoppers Like Electronic Coupons?: A Panel Data Analysis , 2008 .

[15]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[16]  V. Swaminathan.  The Impact of Recommendation Agents on Consumer Evaluation and Choice: The Moderating Role of Category Risk, Product Complexity, and Consumer Knowledge , 2003 .

[17]  R. Westbrook.  Product/Consumption-Based Affective Responses and Postpurchase Processes , 1987 .

[18]  Michael Lewis.  The Influence of Loyalty Programs and Short-Term Promotions on Customer Retention , 2004 .

[19]  Rajendra K. Srivastava,et al.  Coupon Attractiveness and Coupon Proneness: A Framework for Modeling Coupon Redemption , 1997 .

[20]  Robert W. Shoemaker,et al.  The Coupon-Prone Consumer: Some Findings Based on Purchase Behavior across Product Classes , 1987 .

[21]  Emanuel Rosen,et al.  The Anatomy of Buzz: How to Create Word of Mouth Marketing , 2000 .

[22]  Scott A. Neslin,et al.  A Market Response Model for Coupon Promotions , 1990 .

[23]  Bert De Reyck,et al.  Broadcast Scheduling for Mobile Advertising , 2003, Oper. Res..

[24]  Z. John Zhang,et al.  Competitive Coupon Targeting , 1995 .

[25]  Peter H. Reingen,et al.  Social Ties and Word-of-Mouth Referral Behavior , 1987 .

[26]  Wesley R. Hartmann.  Intertemporal effects of consumption and their implications for demand elasticity estimates , 2006 .

[27]  Jeongwen Chiang,et al.  Competing Coupon Promotions and Category Sales , 1995 .

[28]  Scot Burton,et al.  Distinguishing Coupon Proneness from Value Consciousness: An Acquisition-Transaction Utility Theory Perspective , 1990 .

[29]  K. Bawa,et al.  Category-specific coupon proneness: The impact of individual characteristics and category-specific variables , 2005 .

[30]  Hsing Kenneth Cheng,et al.  Customer-centric marketing with Internet coupons , 2008, Decis. Support Syst..

[31]  Do-Hyung Park,et al.  eWOM overload and its effect on consumer behavioral intention depending on consumer involvement , 2008, Electron. Commer. Res. Appl..

[32]  Kent B. Monroe,et al.  Price communications in online and print coupons: An empirical investigation , 2004 .

[33]  Wynne W. Chin,et al.  Intention does not always Matter: The Contingent Role of Habit in IT Usage Behaviour , 2001, ECIS.

[34]  Petros Kavassalis,et al.  Mobile Permission Marketing: Framing the Market Inquiry , 2003, Int. J. Electron. Commer..

[35]  Robert W. Shoemaker,et al.  The Effects of a Direct Mail Coupon on Brand Choice Behavior , 1987 .

[36]  K. B. Monroe.  Pricing: Making Profitable Decisions , 1990 .

[37]  J. Knote.  Bowling alone: The collapse and revival of American community , 2004 .

[38]  Rajanish Dass,et al.  Dynamic pricing using e-coupons , 2005 .

[39]  Leigh McAlister,et al.  Do Coupon Expiration Dates Affect Consumer Behavior? , 1994 .

[40]  B. Dawn Medlin,et al.  The cost of electronic retailing: prevalent security threats and their results , 2008 .

[41]  M.H.P. Kleijnen,et al.  Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons , 2008 .

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

[43]  Gustavo S. Mesch,et al.  E-mail characteristics, work performance and distress , 2010, Comput. Hum. Behav..

[44]  Hock-Hai Teo,et al.  AIS Electronic , 2013 .

[45]  Mark Wallace,et al.  The Effects of the Social Structure of Digital Networks on Viral Marketing Performance , 2008 .

[46]  Jennifer Edson Escalas.  Self-Referencing and Persuasion: Narrative Transportation versus Analytical Elaboration , 2007 .

[47]  Mervyn A. Jack,et al.  A usability comparison of three alternative message formats for an SMS banking service , 2008, Int. J. Hum. Comput. Stud..

[48]  Ramayya Krishnan,et al.  Designing a Better Shopbot , 2004, Manag. Sci..

[49]  Scott D. Johnson,et al.  Influences on consumer use of word-of-mouth recommendation sources , 1997 .

[50]  T. Valente,et al.  Accelerating the Diffusion of Innovations Using Opinion Leaders , 1999 .

[51]  J. Coleman,et al.  Social Capital in the Creation of Human Capital , 1988, American Journal of Sociology.

[52]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[53]  E. Mao,et al.  UNDERSTANDING THE ACCEPTANCE OF MOBILE SMS ADVERTISING AMONG YOUNG CHINESE CONSUMERS , 2008 .

[54]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[55]  Mariko Morimoto,et al.  Consumers’ Attitudes Toward Unsolicited Commercial E-mail and Postal Direct Mail Marketing Methods , 2006 .

[56]  James R. Marsden,et al.  Consumer Search and Retailer Strategies in the Presence of Online Music Sharing , 2006, J. Manag. Inf. Syst..