Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps

Published Online:https://doi.org/10.1287/isre.2018.0792

References

  • Adam TC, Epel ES (2007) Stress, eating and the reward system. Physiol. Behav. 91(4):449–458.Google Scholar
  • Andrews M, Luo X, Fang Z, Ghose A (2016) Mobile ad effectiveness: Hyper-contextual targeting with crowdedness. Marketing Sci. 35(2):218–233.Google Scholar
  • Baron RA (1986) Behavior in Organizations (Allyn and Bacon, Boston).Google Scholar
  • Bell DE (1982) Regret in decision making under uncertainty. Oper. Res. 30(5):961–981.Google Scholar
  • Bettman JR, Luce MF, Payne JW (1998) Constructive consumer choice processes. J. Consumer Res. 25(3):187–217.Google Scholar
  • Cervero R, Wu K-L (1997) Polycentrism, commuting, and residential location in the San Francisco Bay Area. Environ. Planning A 29(5):865–886.Google Scholar
  • Che H, Chen X, Chen Y (2012) Investigating effects of out-of-stock on consumer stockkeeping unit choice. J. Marketing Res. 49(4):502–513.Google Scholar
  • Chen, S-FS, Monroe KB, Lou Y-C (1998) The effects of framing price promotion messages on consumers’ perceptions and purchase intentions. J. Retailing 74(3):353–372.Google Scholar
  • Cohen S, Kessler RC, Gordon LU (1995) Strategies for Measuring Stress in Studies of Psychiatric and Physical Disorders (Oxford University Press, New York).Google Scholar
  • Cutright KM, Samper A (2014) Doing it the hard way: How low control drives preferences for high-effort products and services. J. Consumer Res. 41(3):730–745.Google Scholar
  • Cutright KM, Bettman JR, Fitzsimons GJ (2013) Putting brands in their place: How a lack of control keeps brands contained. J. Marketing Res. 50(3):365–377.Google Scholar
  • Danaher PJ, Smith MS, Ranasinghe K, Danaher TS (2015) Where, when and how long: Factors that influence the redemption of mobile phone coupons. J. Marketing Res. 52(5):710–725.Google Scholar
  • De P, Hu Y, Rahman MS (2013) Product-oriented web technologies and product returns: An exploratory study. Inform. Systems Res. 24(4):998–1010.Google Scholar
  • Della Bitta AJ, Monroe KB, McGinnis JM (1981) Consumer perceptions of comparative price advertisements. J. Marketing Res. 18(4):416–427.Google Scholar
  • Durante KM, Laran J (2016) The effect of stress on consumer saving and spending. J. Marketing Res. 53(5):814–828.CrossrefGoogle Scholar
  • Eden R (2002) Traffic jams are “biggest cause of stress.” The Telegraph (August 20). http://www.telegraph.co.uk/news/uknews/1404881/Traffic-jams-are-biggest-cause-of-stress.html.Google Scholar
  • eMarketer (2013) Mobile spurs digital coupon user growth. Accessed January 31, 2013, http://www.emarketer.com/Article/Mobile-Spurs-Digital-Coupon-User-Growth/1009639.Google Scholar
  • Fang Z, Gu B, Luo X, Xu Y (2015) Contemporaneous and delayed sales impact of location-based mobile promotions. Inform. Systems Res. 26(3):552–564.Google Scholar
  • Fiske ST, Morling B, Stevens LE (1996) Controlling self and others: A theory of anxiety, mental control, and social control. Personality Soc. Psych. Bull. 22(2):115–123.Google Scholar
  • Fong NM, Fang Z, Luo X (2015) Geo-conquesting: Competitive locational targeting of mobile promotions. J. Marketing Res. 52(5):726–735.Google Scholar
  • Ghose A, Han SP (2011) An empirical analysis of user content generation and usage behavior on the mobile internet. Management Sci. 57(9):1671–1691.Google Scholar
  • Ghose A, Li B, Liu S (2019) Mobile targeting using customer trajectory patterns. Management Sci. Forthcoming. Google Scholar
  • Glass DC, Singer JE, Friedman LN (1969) Psychic cost of adaptation to an environmental stressor. J. Personality Soc. Psych. 12(3):200–210.Google Scholar
  • Gordon P, RichardsonHW Jun M-J (1991) The commuting paradox evidence from the top twenty. J. Amer. Planning Assoc. 57(4):416–420.Google Scholar
  • Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate Data Analysis (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • Hamer M, Chida Y (2008) Active commuting and cardiovascular risk: A meta-analytic review. Preventive Medicine 46(1):9–13.Google Scholar
  • Haviland A, Nagin DS, Rosenbaum PR (2007) Combining propensity score matching and group-based trajectory analysis in an observational study. Psych. Methods 12(3):247–267.Google Scholar
  • Hinkle DE, Wiersma W, Jurs SG (2003) Applied Statistics for the Behavioral Sciences (Houghton Mifflin, Boston).Google Scholar
  • Inman JJ, McAlister L (1994) Do coupon expiration dates affect consumer behavior?. J. Marketing Res. 31(3):423–428.Google Scholar
  • Kahneman D, Krueger AB, Schkade DA, Schwarz N, Stone AA (2004) A survey method for characterizing daily life experience: The day reconstruction method. Science 306(5702):1776–1780.Google Scholar
  • Koslowsky M, Kluger AN, Reich M (1995) Commuting Stress: Causes, Effects, and Methods of Coping (Springer, New York).CrossrefGoogle Scholar
  • Krishna A, Zhang ZJ (1999) Short-or long-duration coupons: The effect of the expiration date on the profitability of coupon promotions. Management Sci. 45(8):1041–1056.Google Scholar
  • Lazarus RS (1966) Psychological Stress and the Coping Process (McGraw-Hill, New York).Google Scholar
  • Lazarus RS, Folkman S (1984) Stress, Appraisal, and Coping (Springer, New York).Google Scholar
  • Lee M, Orenstein M, Richardson M (2008) Systematic review of active commuting to school and children’s physical activity and weight. J. Phys. Activity Health 5(6):930–949.Google Scholar
  • Lefcourt HM (1973) The function of the illusions of control and freedom. Amer. Psych. 28(5):417–425.Google Scholar
  • Levav J, Zhu R (2009) Seeking freedom through variety. J. Consumer Res. 36(4):600–610.Google Scholar
  • Luo X, Andrews M, Fang Z, Phang CW (2014) Mobile targeting. Management Sci. 60(7):1738–1756.Google Scholar
  • Melumad S, Pham M (2017) Understanding the Psychology of Smartphone Usage: The Adult Pacifier Hypothesis (Association for Consumer Research, Duluth, MN).Google Scholar
  • Mobile Marketing Association (2013) The current state & promise of mobile couponing. Accessed January 2018, http://www.mmaglobal.com/files/whitepapers/The%20Current%20State%20and%20Promise%20of%20Mobile%20Couponing%20Jan2013-Final.pdf. June 28, 2018. Google Scholar
  • Moustafa AA, Tindle R, Frydecka D, Misiak B (2017) Impulsivity and its relationship with anxiety, depression and stress. Comprehensive Psychiatry 74:173–179.CrossrefGoogle Scholar
  • Morgan SL, Winship C (2015) Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2nd ed. (Cambridge University Press, New York).Google Scholar
  • Novaco RW, Stokols D, Milanesi L (1990) Objective and subjective dimensions of travel impedance as determinants of commuting stress. Amer. J. Community Psych. 18(2):231–257.Google Scholar
  • Pearl J (2009) Causal inference in statistics: An overview. Stat. Surv. 3:96–146.CrossrefGoogle Scholar
  • Peng Z-R (1997) The jobs-housing balance and urban commuting. Urban Stud. 34(8):1215–1235.Google Scholar
  • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55.Google Scholar
  • Rubin DB (2006) Matched Sampling for Causal Effects (Cambridge University Press, New York).CrossrefGoogle Scholar
  • Salz PA (2015) The arms race is on to power hyper-contextual, holistic mobile advertising, Forbes (October 8), http://www.forbes.com/sites/peggyannesalz/2015/10/08/the-arms-race-is-on-to-power-hyper-contextual-holistic-mobile-advertising/#425a47f25d33.Google Scholar
  • Schaeffer MH, Street SW, Singer JE, Baum A (1988) Effects of control on the stress reactions of commuters. J. Appl. Social Psych. 18(11):944–957.Google Scholar
  • Simpson W (1992) Urban Structure and the Labour Market. Worker Mobility, Commuting and Underemployment in Cities (Oxford University Press, New York).Google Scholar
  • Stutzer A, Frey BS (2008) Stress that doesn't pay: The commuting paradox. Scand. J. Econom. 110(2):339–366.Google Scholar
  • Takeda E, Terao J, Nakaya Y, Miyamoto K-I, Baba Y, Chuman H, Kaji R, Ohmori T, Rokutan K (2004) Stress control and human nutrition. J. Medical Invest. 51(3–4):139–145.Google Scholar
  • Terza JV, Basu A, Rathouz PJ (2008) Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. J. Health Econom. 27(3):531–543.Google Scholar
  • Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
  • Xu K, Chan J, Ghose A, Han S (2016) Battle of the channels: The impact of tablets on digital commerce. Management Sci. 63(5):1469–1492.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.