Digital Receipts: Fostering Mobile Payment Adoption

  • Edward Ho
  • Silviu Apostu
  • Florian Michahelles
  • Alexander Ilic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8309)


Mobile payment adoption remains low. This paper presents a user-study that evaluates whether providing digital receipts in-store to customers could drive mobile payment adoption. Our results reveal that although our smart phone based payment and digital receipt processes took up to 60% longer than getting paper receipts and paying with cash, users perceived the digital receipt approach as fun, useful, and even time-saving. These insights may help drive adoption of mobile payment systems.


Mobile Payment Digital Receipt Usability Retail 


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  1. 1.
    Dahlberg, T., Mallat, N., Ondrus, J., Zmijewska, A.: Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications 7(2), 165–181 (2008)CrossRefGoogle Scholar
  2. 2.
    Kowatsch, T., Maass, W.: In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences. Computers in Human Behavior 26(4), 697–704 (2010)CrossRefGoogle Scholar
  3. 3.
    Krüger, A., Spassova, L., Jung, R.: Innovative Retail Laboratory — Investigating Future Shopping Technologies Innovative Retail Laboratory. i- Information Technology 52(2), 114–118 (2010)Google Scholar
  4. 4.
    Bhattacharya, S., Floreen, P., Forsblom, A., et al.: Ma$$iv€ – An Intelligent Mobile Grocery Assistant. In: Proceedings of the Eighth International Conference on Intelligent Environments (2012)Google Scholar
  5. 5.
    Mankoff, J., Hsieh, G., Hung, H.C., Lee, S., Nitao, E.: Using low-cost sensing to support nutritional awareness. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, pp. 371–376. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  6. 6.
    Chen, L.: A model of consumer acceptance of mobile payment. International Journal of Mobile Communications 6(1), 32–52 (2008)CrossRefGoogle Scholar
  7. 7.
    Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13(3), 319–340 (1989)CrossRefGoogle Scholar
  8. 8.
    Venkatesh, V.: Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11(4), 342–365 (2000)CrossRefGoogle Scholar
  9. 9.
    Katz, K.L., Larson, B.M., Larson, R.C.: Prescription for the waiting-in-line blues: Entertain, enlighten, and engage. Sloan Management Review, 44–53 (1991)Google Scholar
  10. 10.
    Allan, L.G.: The Perception of Time. Perception and Psychophysics 26(5), 340–354 (1979)CrossRefGoogle Scholar
  11. 11.
    Hornik, J.: Subjective vs. Objective Time Measures: A Note on the Perception of Time in Consumer Behavior. Journal of Consumer Research 11(1), 615–618 (1984)CrossRefGoogle Scholar
  12. 12.
    Raffelsieper, M., Ilic, A., Keller, T., Fleisch, E.: Efficient Encoding and Transmission of Digital Receipts for mobile Commerce. In: 12th International Conference on Mobile Business (ICMB), Berlin, GermanyGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Edward Ho
    • 1
  • Silviu Apostu
    • 1
  • Florian Michahelles
    • 1
  • Alexander Ilic
    • 2
  1. 1.ETH ZürichZürichSwitzerland
  2. 2.University of St. GallenSt. GallenSwitzerland

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