Contemporaneous and Delayed Sales Impact of Location-Based Mobile Promotions

Published Online:https://doi.org/10.1287/isre.2015.0586

References

  • Ainslie G (1975) Specious reward: A behavioral theory of impulsiveness and impulse control. Psych. Bull. 82(4):463–509.CrossrefGoogle Scholar
  • Andrews M, Luo X, Fang Z, Ghose A (2015) Mobile ad effectiveness: Hyper-contextual targeting with crowdedness. Marketing Sci. ePub ahead of print April 16, http://dx.doi.org/10.1287/mksc.2015.0905.Google Scholar
  • Banerjee SS, Dholakia RR (2008) Mobile advertising: Does location-based advertising work? Internat. J. Mobile Marketing 3(2):68–75.Google Scholar
  • Brunner GC, Kumar A (2007) Attitude toward location-based advertising. J. Interactive Advertising 7(2):3–15.CrossrefGoogle Scholar
  • Butcher D (2011) HopStop CEO: Location-targeted mobile ads 20 times more effective than online. Mobile Marketer (March 4). http://www.mobilemarketer.com.Google Scholar
  • Carr T (2012) Mobile intelligence paves way for spontaneous commerce: Forrester analyst. Luxury Daily (June 28). http://www.luxurydaily.com/mobile-intelligence-paves-way-for-spontaneous-commerce-forrester-exec/.Google Scholar
  • Clemons E, Gao G, Hitt L (2006) When online review meets hyperdifferentiation: A study of craft beer industry. J. Management Inform. Systems 23(2):149–171.CrossrefGoogle Scholar
  • Cronin JJ, Brady MK, Hult GTM (2000) Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. J. Retailing 76(2):193–218.CrossrefGoogle Scholar
  • Deng C, Graz J (2002) Generating randomization schedules using SAS programming. Proc. 27th Annual SAS Users Group Internat. Conf., Orlando, FL, 267–270.Google Scholar
  • Engel JF, Kollat RD (1978) Consumer Behavior (Holt, Rinehart and Winston, New York).Google Scholar
  • Fan M, Kumar S, Whinston AB (2008) Selling or advertising: Strategies for providing digital media online. J. Management Inform. Systems 24(3):143–166.CrossrefGoogle Scholar
  • Finocchiaro P (2010) Shakey’s pizza parlor claims 10pc conversion in mobile coupon campaign. Mobile Commerce Daily (August 31). Accessed April 1, 2013, http://www.mobilecommercedaily.com/shakey%E2%80%99s-pizza-parlor-achieves-10pc-conversion-in-mobile-coupon-campaign.Google Scholar
  • Fong N, Fang Z, Luo X (2015) Competitive locational mobile promotions. J. Marketing Res. Forthcoming.CrossrefGoogle Scholar
  • Forman C, Ghose A, Goldfarb A (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47–57.LinkGoogle Scholar
  • Friedrich R, Grone F, Holbling K, Peterson M (2009) The march of mobile marketing: New chances for consumer companies, new opportunities for mobile operators. J. Advertising Res. 49(1):54–61.CrossrefGoogle Scholar
  • Gao G, Hitt LM (2012) Information technology and trademarks: Implications for product variety. Management Sci. 58(6):1211–1226.LinkGoogle Scholar
  • Ghose A, Han SP (2014) Estimating demand for mobile apps in the new economy. Management Sci. 60(6):1470–1488.LinkGoogle Scholar
  • Ghose A, Ipeirotis PG, Li B (2012) Designing ranking systems for hotels on travel search engines by mining user-generated and crowd-sourced content. Marketing Sci. 31(3):493–520.LinkGoogle Scholar
  • Ghose A, Li B, Liu S (2014) Mobile trajectory-based advertising: Evidence from a large-scale randomized field experiment. Working paper, Carnegie Mellon University, Pittsburgh.Google Scholar
  • Goh KY, Chu J, Soh SC (2009) Mobile advertising: An empirical study of advertising response and search behavior. Proc. 30th Internat. Conf. Information Systems, Phoenix, 883–898.Google Scholar
  • Goldfarb A, Tucker C (2011) Online display advertising: Targeting and obtrusiveness. Marketing Sci. 30(3):389–404.LinkGoogle Scholar
  • Hoch S, Loewenstein GF (1991) Time-inconsistent preferences and consumer self-control. J. Consumer Res. 17(3):492–507.CrossrefGoogle Scholar
  • Jasperson J, Carter PE, Zmud R (2005) A comprehensive conceptualization of post-adoptive behavior associated with information technology enabled work systems. MIS Quart. 29(3):525–557.CrossrefGoogle Scholar
  • Junglas IA, Watson RT (2006) The U-constructs: Four information drives. Comm. AIS 17(4):569–592.Google Scholar
  • Komiak SYX, Benbasat I (2006) The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quart. 30(4):941–960.CrossrefGoogle Scholar
  • Kotler P (2002) Marketing Management (Prentice-Hall, New York).Google Scholar
  • Lichtenstein DR, Burton S, Netemeyer RG (1997) An examination of deal proneness across sales promotion types: A consumer segmentation perspective. J. Retailing 73(2):283–297.CrossrefGoogle Scholar
  • Loewenstein G (1988) Frames of minding inter-temporal choice. Management Sci. 34(2):200–214.LinkGoogle Scholar
  • Luo X (2005) How does shopping with others matter to individual impulsive purchasing? J. Consumer Psych. 15(4):288–294.CrossrefGoogle Scholar
  • Luo X, Raithel SW, Michael A (2013) The impact of brand rating dispersion on firm value. J. Marketing Res. 50(3):399–415.CrossrefGoogle Scholar
  • Luo X, Andrews M, Fang Z, Phang CW (2014) Mobile targeting. Management Sci. 60(7):1738–1756.LinkGoogle Scholar
  • McKenna R (1999) Real-Time Marketing (Harvard Business School Press, Boston).Google Scholar
  • Merisavo M, Vesanen J, Arponen A, Kajalo S (2006) The effectiveness of targeted mobile advertising in selling mobile services: An empirical study. Internat. J. Mobile Comm. 4(2):119–127.CrossrefGoogle Scholar
  • Mirbagheri SA, Hejazinia M (2010) Mobile marketing communication: Learning from 45 popular cases for campaign design. Internat. J. Mobile Marketing 5(1):175–192.Google Scholar
  • Mischel W (1974) Processes in delay of gratification. Berkowitz L, ed. Advances in Experimental Social Psychology, Vol. 7 (Academic Press, New York), 249–292.CrossrefGoogle Scholar
  • Mishra A, Mishra H (2010) We are what we consume: The influence of food consumption on impulsive choice. J. Marketing Res. 47(11):1129–1137.CrossrefGoogle Scholar
  • Molitor D, Reichart P, Spann M (2012) Location-based advertising: What is the value of physical distance on the mobile Internet? Working paper, Ludwig—Maximilians Universitat, Munich, Germany.Google Scholar
  • Nysveen H, Pedersen PE, Thorbjornsen H (2005) Intentions to use mobile services: Antecedents and cross-service comparisons. J. Acad. Marketing Sci. 33(3):30–46.CrossrefGoogle Scholar
  • Oliver RW, Rust RT, Varki S (1998) Real-time marketing. Marketing Management 7(4):29–37.Google Scholar
  • Provost F (2011) Geo-social targeting for privacy-friendly mobile advertising. Working paper, New York University, New York. https://archive.nyu.edu/handle/2451/31279.Google Scholar
  • Scharl A, Dickinger A, Murphy J (2005) Diffusion and success factors of mobile marketing. Electronic Commerce Res. Appl. 4(2):159–173.CrossrefGoogle Scholar
  • Sengupta J, Zhou R (2007) Understanding impulsive eaters’ choice behaviors: The motivational influences of regulatory focus. J. Marketing Res. 44(2):297–308.CrossrefGoogle Scholar
  • Soroa-Koury S, Yang KCC (2010) Factors affecting consumers’ responses to mobile advertising from a social norm theoretical perspective. Telematics Informatics 27(1):103–113.CrossrefGoogle Scholar
  • Tambe P, Hitt LM (2012) The productivity of information technology investments: New evidence from IT labor data. Inform. Systems Res. 23(1):599–617.LinkGoogle Scholar
  • Ververidis CN, Polyzos GC (2002) Mobile marketing using a location based service. Proc. First Internat. Conf. Mobile Business, Athens, Greece.Google Scholar
  • Xu H, Oh L-B, Teo H-H (2009) Perceived effectiveness of text vs. multimedia location-based advertising messaging. Internat. J. Mobile Comm. 7(2):154–177.CrossrefGoogle Scholar
  • Xu H, Luo XB, Carroll JM, Rosson MB (2011) The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems 51(1):42–52.CrossrefGoogle Scholar
  • Xu H, Teo H-H, Tan BCY, Agarwal R (2009) The role of push-pull technology in privacy calculus: The case of location-based service. J. Management Inform. Systems 26(3):135–173.CrossrefGoogle Scholar
  • Zhang J, Mao E (2008) Understanding the acceptance of mobile SMS advertising among young Chinese consumers. Psych. Marketing 25(8):787–805.CrossrefGoogle Scholar
  • Zhang M, Hui K-L, Hou L (2011) Peer-induced social conformity: Evidence from a natural field experiment. Working paper, Hong Kong University of Science and Technology, Kowloon, Hong Kong.Google Scholar
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