Conceptual Model for Cashless Society: A Literature Synthesis



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Submitted May 22, 2020
Published Jun 18, 2020
10.24018/ejbmr.2020.5.3.343

Abstract viewed = 4421 times

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This study provides a review of 50 number of papers, the synthesis and thus develops a comprehensive conceptual model for developing a cashless society in a country. Based on our analysis, factors such as performance expectancy, effort expectancy, facilitating conditions, perceived risk, price value, perceived security, habit, trust, and social influence, all are affecting the use behavior of a customers.  Future studies using quantitative and qualitative methods can be conducted based on the proposed conceptual model.

Keywords: Cashless Society Electronic Payment Conceptual Model Literature Synthesis

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References

  1. M. . Yaqub, J O;Bello, H.T; Adenuga, I.A;& Ogundeji, “The Cashless Policy in Nigeria : Prospects and Challenges,” Int. J. Humanit. Soc. Sci., vol. 3, no. 3, pp. 200–212, 2013.
     Google Scholar
  2. E. Aslinawati, D. Wulandari, and T. Soseco, “Public Perception of the Effectiveness of Less Cash Society,” Int. Rev. Soc. Sci., vol. 4, no. 1, pp. 7–12, 2016.
     Google Scholar
  3. H. Thomas, A. Jain, and M. Angus, “Exclusive insights from MasterCard Advisors Measuring progress toward a cashless society,” pp. 1–5, 2013.
     Google Scholar
  4. H. Patel and R. Connolly, “Challenges In Implementation And Promotion Of E-Government Services: A Developing Country Perspective.” 2007.
     Google Scholar
  5. Junadi and Sfenrianto, “A Model of Factors Influencing Consumer’s Intention To Use E-payment System in Indonesia,” Procedia Comput. Sci., vol. 59, pp. 214–220, 2015.
     Google Scholar
  6. O. Slozko and A. Pelo, “Problems and risks of digital technologies introduction into E-payments,” Transform. Bus. Econ., vol. 14, no. 1, pp. 225–235, 2015.
     Google Scholar
  7. M. A. Kabir, S. Z. Saidin, and A. Ahmi, “Adoption of e-Payment Systems: A Review of Literature,” Proc. Int. Conf. E-Commerce 2015, vol. 2012, pp. 112–120, 2015.
     Google Scholar
  8. D. Abrazhevich, Electronic Payment Systems : a User-Centered Perspective and Interaction Design. 2004.
     Google Scholar
  9. A. Tella, “Determinants of E-Payment Systems Success: A User’s Satisfaction Perspective,” Int. J. E-Adoption, vol. 4, no. 3, pp. 15–38, 2012.
     Google Scholar
  10. M. T. Wendy, C. C. Siong, L. Binshan, and W. C. Jiat, “Factors affecting consumers’ perception of electronic payment: an empirical analysis,” Internet Res., vol. 23, no. 4, pp. 465–485, Jan. 2013.
     Google Scholar
  11. J. Raja, M. S. Velmurgan, and A. Seetharaman, “E-payments: Problems and Prospects,” J. Internet Bank. Commer., 2008.
     Google Scholar
  12. T. H. Shon and P. M. C. Swatman, “Identifying effectiveness criteria for Internet payment systems,” Internet Res., vol. 8, no. 3, pp. 202–218, 1998.
     Google Scholar
  13. J. P. Caskey and G. H. Sellon, “Is The Debit Card Revolution Finally Here?,” Fed. Reserv. Bank Kansas City Econ. Rev., no. Q4, pp. 79–95, 1994.
     Google Scholar
  14. K. C. Laudon and J. P. Laudon, “Essentials of Management Information Systems Ford AutoXchange B2B Marketplace,” in Pearson Education, 2007, pp. 1–5.
     Google Scholar
  15. Z. Rahmani, A. Tahvildari, H. Honarmand, H. Yousefi, and M. S. Daghighi, “The definition of mobile banking ( mobile banking ),” Arab. J. Bus. Manag., vol. 2, no. 5, pp. 37–40, 2012.
     Google Scholar
  16. F. S. Keivani, M. Jouzbarkand, M. Khodadadi, and Z. K. Sourkouhi, “A General View on the E-banking,” Int. Proc. Econ. Dev. Res., no. 43, pp. 62–65, 2012.
     Google Scholar
  17. V. Jain and P. Jain, “A Journey Towards A Cashless Society,” in Banking Sector In Oman: Strategic Issues, Challenges And Future Scenarios, no. January, 2017, pp. 61–72.
     Google Scholar
  18. J. O. Yaqub, H. T. Bello, I. A. Adenuga, and M. O. Ogundeji, “The cashless policy in Nigeria: prospects and challenges,” Int. J. Humanit. Soc. Sci., vol. 3, no. 3, pp. 200–212, 2013.
     Google Scholar
  19. D. D. G. Swartz, R. W. Hahn, and A. Layne-Farrar, “The Economics of a Cashless Society : An Analysis of the Costs and Benefits of Payment Instruments,” in AEI-Brookings Joint Center For Regulatory Studies The, no. January 2006, 2004, pp. 221–222.
     Google Scholar
  20. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User Acceptance of Information Technology: Toward A Unified View,” MIS Q., vol. 27, no. 3, pp. 425–478, 2003.
     Google Scholar
  21. A. Kolsaker and C. Payne, “Engendering trust in ecommerce: a study of genderbased concerns,” Mark. Intell. Plan., vol. 20, no. 4, pp. 206–214, 2002.
     Google Scholar
  22. F. Carlos and G. Miguel, “Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site,” Ind. Manag. Data Syst., vol. 106, no. 5, pp. 601–620, Jan. 2006.
     Google Scholar
  23. Y. T. H. Chiu, W. I. Lee, C. C. Liu, and L. Y. Liu, “Internet Lottery Commerce: An Integrated View of Online Sport Lottery Adoption,” J. Internet Commer., vol. 11, no. 1, pp. 68–80, 2012.
     Google Scholar
  24. N. Catherine, K. M. Geofrey, M. B. Moya, and G. Aballo, “Effort expectancy, performance expectancy, social influence and facilitating conditions as predictors of behavioral intentions to use ATMS with fingerprint authentivation in Ugandan banks,” Glob. J. Comput. Sci. Technol. E Network, Web Secur., vol. 17, no. 5, 2017.
     Google Scholar
  25. V. P. Aggelidis and P. D. Chatzoglou, “Using a modified technology acceptance model in hospitals,” Int. J. Med. Inform., vol. 78, no. 2, pp. 115–126, 2009.
     Google Scholar
  26. M. J. Kim and C. M. Hall, “What drives visitor economy crowdfunding? The effect of digital storytelling on unified theory of acceptance and use of technology,” Tour. Manag. Perspect., vol. 34, no. January, p. 100638, 2020.
     Google Scholar
  27. H. R. D. Abadi, B. Ranjbarian, and F. K. Zade, “Investigate the Customers’ Behavioral Intention to Use Mobile Banking Based on TPB, TAM and Perceived Risk (A Case Study in Meli Bank),” Int. J. Acad. Res. Bus. Soc. Sci., vol. 2, no. 10, pp. 312–322, 2012.
     Google Scholar
  28. Z. Belkhamza and S. A. Wafa, “Journal of Internet Banking and Commerce,” J. Internet Bank. Commer., vol. 14, no. 1, pp. 1–11, 2009.
     Google Scholar
  29. K. M. S. Faqih, “Exploring the influence of perceived risk and internet self-efficacy on consumer online shopping intentions : Perspective of technology acceptance model,” Int. Manag. Rev., vol. 9, no. 1, pp. 67–78, 2013.
     Google Scholar
  30. M.-C. Lee, “Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit,” Electron. Commer. Res. Appl., vol. 8, no. 3, pp. 130–141, 2009.
     Google Scholar
  31. J. H. Lee and C. H. Song, “Effects of trust and perceived risk on user acceptance of a new technology service,” Soc. Behav. Pers., vol. 41, no. 4, pp. 587–597, 2013.
     Google Scholar
  32. S. Varki and M. Colgate, “The Role of Price Perceptions in an Integrated Model of Behavioral Intentions,” J. Serv. Res., vol. 3, no. 3, pp. 232–240, 2001.
     Google Scholar
  33. H. Oh, “The Effect of Brand Class, Brand Awareness, and Price on Customer Value and Behavioral Intentions,” J. Hosp. Tour. Res., vol. 24, no. 2, pp. 136–162, 2000.
     Google Scholar
  34. P. A. Vlachos and A. P. Vrechopoulos, “Determinants of behavioral intentions in the mobile internet services market,” J. Serv. Mark., vol. 22, no. 4, pp. 280–291, 2008.
     Google Scholar
  35. C. H. Lien, M. J. Wen, and C. C. Wu, “Investigating the relationships among E-service quality, perceived value, satisfaction, and behavioral intentions in Taiwanese online shopping,” Asia Pacific Manag. Rev., vol. 16, no. 3, pp. 211–223, 2011.
     Google Scholar
  36. S. Y. Park, M.-W. Nam, and S.-B. Cha, “University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model,” Br. J. Educ. Technol., vol. 43, no. 4, pp. 592–605, Jul. 2012.
     Google Scholar
  37. G. Polites, “Counterintentional Habit as an Inhibitor of Technology Acceptance,” in Proceedings of the 2005 Southern Association for Information Systems Conference, 2005, p. 47.
     Google Scholar
  38. H. Khatimah, P. Susanto, and N. L. Abdullah, “Hedonic motivation and social influence on behavioral intention of e-money: The role of payment habit as a mediator,” Int. J. Entrep., vol. 23, no. 1, pp. 1–9, 2019.
     Google Scholar
  39. Y. Lu, Y. Cao, B. Wang, and S. Yang, “A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel,” Comput. Human Behav., vol. 27, no. 1, pp. 355–364, 2011.
     Google Scholar
  40. C. J. Lim, B. N. C., and C. C. Lim, “Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines,” Asia Pacific J. Innov. Entrep., vol. 11, no. 2, pp. 246–278, Jan. 2017.
     Google Scholar
  41. K. S. Namahoot and T. Laohavichien, “An analysis of behavioral intention to use Thai internet banking with quality management and trust,” J. Internet Bank. Commer., vol. 20, no. 3, 2015.
     Google Scholar
  42. T. H. Lan Ho and Y. Chen, “Vietnamese Consumers’ Intention to Use Online Shopping: The Role of Trust,” Int. J. Bus. Manag., vol. 9, no. 5, pp. 145–159, 2014.
     Google Scholar
  43. S. Dimitriadis and N. Kyrezis, “Linking trust to use intention for technology-enabled bank channels: The role of trusting intentions,” Psychol. Mark., vol. 27, no. 8, pp. 799–820, Aug. 2010.
     Google Scholar
  44. M. Fishbein and I. Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-We. 1977.
     Google Scholar
  45. I. Ajzen, “The theory of planned behavior,” Organ. Behav. Hum. decission Process, vol. 50, pp. 179–211, 1991.
     Google Scholar
  46. V. Venkatesh and F. D. Davis, “A Model of the Antecedents of Perceived Ease of Use: Development and Test,” Decis. Sci., vol. 27, no. 3, pp. 451–481, 1996.
     Google Scholar
  47. S. Mouakket, “Factors influencing continuance intention to use social network sites: The Facebook case,” Comput. Human Behav., vol. 53, pp. 102–110, 2015, doi.
     Google Scholar
  48. G. Dağhan and B. Akkoyunlu, “Modeling the continuance usage intention of online learning environments,” Comput. Human Behav., vol. 60, pp. 198–211, 2016.
     Google Scholar
  49. G. S. Weng, S. Zailani, M. Iranmanesh, and S. S. Hyun, “Mobile taxi booking application service’s continuance usage intention by users,” Transp. Res. Part D Transp. Environ., vol. 57, pp. 207–216, 2017.
     Google Scholar
  50. T. Zhou, “Understanding continuance usage intention of mobile internet sites,” Univers. Access Inf. Soc., vol. 13, no. 3, pp. 329–337, 2014.
     Google Scholar


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