Quality in Mobile Payment Service in India

  • Bhartendra Pratap SinghEmail author
  • Purva Grover
  • Arpan Kumar Kar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10595)


This study seeks to determine the dimensions of quality from the perspective of “voice of the consumer”. It uses the Total Interpretive Structural Modelling (TISM) with construct of Usefulness, Ease of Use, Security &Trust, Visual Appeal, Complementary Relationship and Customer Service. The general theoretical framework of the Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), SERVQUAL, WebQual and Quality Function Deployment have been used to develop a questionnaire for Mobile Payment Service (MPS) quality. Individual’s response to questions about the quality in MPS, they are using were collected and analysed with TISM. Though, the analysis confirms with the classical theory of TAM (i.e. Usefulness and Ease of Use), additionally the results also shows the consumers perceived concern about trust and security. There is also existence of significant relationship observed between demographics of the respondents and variables measured. The study intended to analyse the service quality in MPS in light of extant research on Technology Acceptance and Service Quality via construct of behavioural interaction to use and actual usage.


Mobile payments WebQual Quality Function Deployment (QFD) Total Interpretational Structural Model (TISM) 


  1. 1.
    Aizen, I., Fishbein, M.: Understanding Attitudes and Predicting Social Behaviour. Prentice-Hall, Englewood Cliffs (1980)Google Scholar
  2. 2.
    Au, Y.A., Kauffman, R.J.: The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electron. Commer. Res. Appl. 7(2), 141–164 (2007)CrossRefGoogle Scholar
  3. 3.
    Balasubramanian, S., Peterson, R.A., Janvenpaa, S.L.: Exploring the implications of m-commerce for markets and marketing. J. Acad. Mark. Sci. 30(4), 348–361 (2002)CrossRefGoogle Scholar
  4. 4.
    Barnes, S.J., Vidgen, R.: WebQual: An exploration of web-site quality. Int. J. Electron. Commer. 6(1), 11–30 (2001)CrossRefGoogle Scholar
  5. 5.
    Barnes, S.J., Vidgen, R.: Evaluating WAP news sites: The WEBQUAL/M approach. In: The 9th European Conference on Information Systems, vol. 17 (2001)Google Scholar
  6. 6.
    Cronin, J.J., Taylor, S.A.: Measuring service quality: a re-examination and extension. J. Mark. 56(3), 55–68 (1992)CrossRefGoogle Scholar
  7. 7.
    Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)CrossRefGoogle Scholar
  8. 8.
    Dahlberg, T., Mallat, N., Ondrus, J., Zmijewska, A.: Past, present and future of mobile payments research: A literature review. Electron. Commer. Res. Appl. 7(2), 165–181 (2008)CrossRefGoogle Scholar
  9. 9.
    Jayalakshmi, B., Pramod, V.R.: Total interpretive structural modelling (TISM) of the enablers of a flexible control system for industry. Glob. J. Flex. Syst. Manage. 16(1), 63–85 (2015)CrossRefGoogle Scholar
  10. 10.
    Kreyer, N., Pousttchi, K., Turowski, K.: Standardized payment procedures as key enabling factor for mobile commerce. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds.) EC-Web 2002. LNCS, vol. 2455, pp. 400–409. Springer, Heidelberg (2002). doi: 10.1007/3-540-45705-4_41 CrossRefzbMATHGoogle Scholar
  11. 11.
    Lin, H.-H., Wang, Y.-S.: An examination of the determinants of customer loyalty in mobile commerce contexts. Inf. Manage. 43(3), 271–282 (2006)CrossRefGoogle Scholar
  12. 12.
    Loiacono, E.T., Watson, R.T., Goodhue, D.L.: WebQual: A measure of website quality. Mark. Theory Appl. 13(3), 432–438 (2002)Google Scholar
  13. 13.
    Loiacono, E., Chen, D., Goodhue, D.: WebQual TM revisited: predicting the intent to reuse a Web site. In: AMCIS 2002 Proceedings, vol. 46 (2002)Google Scholar
  14. 14.
    Lu, Y., Zhang, L., Wang, B.: A multidimensional and hierarchical model of mobile service quality. Electron. Commer. Res. Appl. 8(5), 228–240 (2009)CrossRefGoogle Scholar
  15. 15.
    Mallat, N.: Exploring consumer adoption of mobile payments – A qualitative study. J. Strateg. Inf. Syst. 16(4), 413–432 (2007)CrossRefGoogle Scholar
  16. 16.
    Ozer, A., Argan, M.T., Argan, M.: The effect of mobile service quality dimensions on customer satisfaction. Procedia Soc. Behav. Sci. 99, 428–438 (2013)CrossRefGoogle Scholar
  17. 17.
    Parasuraman, A., Zeithaml, V.A., Berry, L.L.: SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. J. Retail. 64(1), 12–40 (1988)Google Scholar
  18. 18.
    Pousttchi, K., Selk, B., Turowski, K.: Enabling mobile commerce through mass customization. In: Proceedings of the EIS 2002 Workshop on Information Systems for Mass Customization, Malaga 2002, pp. 1–6 (2002)Google Scholar
  19. 19.
    Pousttchi, K.: Conditions for acceptance and usage of mobile payment procedures. In: Giaglis, G.M., Werthner, H., Tschammer, V., Foeschl. K. (eds.) mBusiness 2003 - The Second International Conference on Mobile Business, Vienna, pp. 201–210 (2003)Google Scholar
  20. 20.
    Shin, D.-H.: Towards an understanding of the consumer acceptance of mobile wallet. Comput. Hum. Behav. 25(6), 1343–1354 (2009)CrossRefGoogle Scholar
  21. 21.
    Sushil.: Interpretive matrix a tool to aid interpretation of management and social research. Glob. J. Flex. Syst. Manage. 6(2), 27–30 (2005)Google Scholar
  22. 22.
    Sushil.: Interpreting the interpretive structural model. Glob. J. Flex. Syst. Manage. 13(2), 87–106 (2012)Google Scholar
  23. 23.
    Venkatesh, V., Morris, M., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Q. 3, 425–478 (2003)CrossRefGoogle Scholar
  24. 24.
    Viehland, D., Leong, R.: Acceptance and use of mobile payments. In: 18th Australasian Conference on Information Systems Acceptance and Use of Mpayments, vol. 16, pp. 665– 671 (2007)Google Scholar
  25. 25.
    Warfield, J.N.: Intent structures. IEEE Trans. Syst. Man Cybern. SMC 3(2), 133–140 (1973)CrossRefGoogle Scholar
  26. 26.
    Wolfinbarger, M., Gilly, M.C.: eTailQ: Dimensionalizing, measuring and predicting etail quality. J. Retail. 79, 183–198 (2003)CrossRefGoogle Scholar
  27. 27.
    Wu, J.H., Wang, S.C.: What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf. Manage. 42(5), 719–729 (2005)CrossRefMathSciNetGoogle Scholar
  28. 28.
    Yadav, M., Rangnekar, S., Bamel, U.: Workplace flexibility dimensions as enablers of organizational citizenship behaviour. Glob. J. Flex. Syst. Manage. 17(1), 41–56 (2016)CrossRefGoogle Scholar
  29. 29.
    Zeithaml, V.A.: Defining and Relating Prices, Perceived Quality and Perceived Value. Marketing Science Institute, Cambridge (1987)Google Scholar
  30. 30.
    Anand, O., Mittal, A., Moolchandani, K., Kagzi, Munezasultana M., Kar, A.K.: Evaluating travel websites using WebQual: a group decision support approach. In: Buyya, R., Thampi, Sabu M. (eds.) Intelligent Distributed Computing. AISC, vol. 321, pp. 151–160. Springer, Cham (2015). doi: 10.1007/978-3-319-11227-5_14 CrossRefGoogle Scholar
  31. 31.
    Kalelkar, G.R., Kumbhare, G., Mehta, V., Kar, A.K.: Evaluating E-Commerce Portals from the Perspective of the End User – A Group Decision Support Approach. In: Thampi, Sabu M., Gelbukh, A., Mukhopadhyay, J. (eds.) Advances in Signal Processing and Intelligent Recognition Systems. AISC, vol. 264, pp. 107–117. Springer, Cham (2014). doi: 10.1007/978-3-319-04960-1_10 CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  • Bhartendra Pratap Singh
    • 1
    Email author
  • Purva Grover
    • 1
  • Arpan Kumar Kar
    • 1
  1. 1.Department of Management StudiesIndian Institute of Technology DelhiNew DelhiIndia

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