Explaining Technology Adoption with Financial Motivation

  • Joseph BuduEmail author
  • Jefferson Seneadza
  • Edward Entee
  • Michael Fosu
  • Bismark Tei Asare
  • Charles Mensah
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 558)


Several theories and their variant extensions have been posited to explain or to suggest factors that influence technology adoption. However, these theories seem inadequate in certain scenarios. For instance, none of such technology adoption theories identify or account for the possible influence of external non-personal and non-technology incentives or rewards or compensation on persons faced with the choice to accept or use a technology. However, existing psychology research posits a positive correlation between the offer of financial motivation and the performance of tasks. Therefore, this paper purposes to explain the relationship between financial motivation and individuals’ technology adoption.


Technology adoption Financial motivation Developing country 


  1. Alotaibi, M.B.: Determinants of mobile service acceptance in Saudi Arabia: a revised UTAUT model. Int. J. E-Serv. Mobile Appl. 5(3), 43–61 (2013)CrossRefGoogle Scholar
  2. Bagozzi, R.P.: The legacy of the technology acceptance model and a proposal for a paradigm shift. J. AIS 8(4), 244–254 (2007)Google Scholar
  3. Becker, J.U., Clement, M., Schaedel, U.: The impact of network size and financial incentives on adoption and participation in new online communities. J. Media Econ. 23, 165–179 (2010)CrossRefGoogle Scholar
  4. Bowles, S.: Policies designed for self-interested citizens may undermine ‘the moral sentiments’: evidence from economic experiments. Science 320(5883), 1605–1609 (2008)CrossRefGoogle Scholar
  5. Cresswell, J.W.: Qualitative Inquiry and Research Design. Sage, Thousand Oaks (2007)Google Scholar
  6. Darrington, J.W., Howell, G.A.: Motivation and incentives in relational contracts. J. Financ. Manag. Property Constr. 16(1), 42–51 (2011)CrossRefGoogle Scholar
  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. Dwivedi, Y.K., Wade, M.R., Schneberger, S.L. (eds.): Information Systems Theory: Explaining and Predicting our Digital Society, vol. 1. Springer, Heidelberg (2011)Google Scholar
  9. Dwivedi, Y.K., Rana, N.P., Janssen, M., Lal, B., Williams, M.D., Clement, M.: An empirical validation of a unified model of electronic government adoption (UMEGA). Gov. Inf. Q. 34(2), 211–230 (2017a)CrossRefGoogle Scholar
  10. Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., Williams, M.D. Re-examining the unified theory of acceptance and use of technology (UTAUT): towards a revised theoretical model. Inf. Syst. Frontiers, 1–16 (2017b).
  11. Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behaviour: An Introduction to Theory and Research. Addison-Wesley, Reading, MA (1975)Google Scholar
  12. Garača, Z.: Factors related to the intended vuse of ERP systems. Management 16(2), 23–42 (2011)Google Scholar
  13. Govindarajulu, N., Daily, B.F.: Motivating employees for environmental improvement. Ind. Manag. Data Syst. 104(4), 364–372 (2004)CrossRefGoogle Scholar
  14. Kapoor, K.K., Dwivedi, Y.K., Williams, M.D.: Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Inf. Syst. Frontiers 17(5), 1039–1056 (2015)CrossRefGoogle Scholar
  15. Liu, F., Zhao, X., Chau, P.Y., Tang, Q.: Roles of perceived value and individual differences in the acceptance of mobile coupon applications. Internet Res. 25(3), 471–495 (2015)CrossRefGoogle Scholar
  16. Ozkan, S., Bindusara, G., Hackney, R.: Facilitating the adoption of e-payment systems: theoretical constructs and empirical analysis. J. Enterp. Inf. Manag. 23(3), 305–325 (2010)CrossRefGoogle Scholar
  17. Rana, N.P., Dwivedi, Y.K., Lal, B., Williams, M.D., Clement, M.: Citizens’ adoption of an electronic government system: towards a unified view. Inf. Syst. Frontiers 19(3), 549–568 (2017)CrossRefGoogle Scholar
  18. Rana, N.P., Dwivedi, Y.K., Williams, M.D., Weerakkody, V.: Adoption of online public grievance redressal system in India: toward developing a unified view. Comput. Hum. Behav. 59, 265–282 (2016)CrossRefGoogle Scholar
  19. Rondan-Cataluna, F.J., Arenas-Gaintan, J., Ramirez-Correa, P.E.: A comparison of the different versions of popular technology acceptance models. Kybernetes 44(5), 788–805 (2015)CrossRefGoogle Scholar
  20. Sheng, X., Zolfagharian, M.: Consumer participation in online product recommendation services: augmenting the technology acceptance model. J. Serv. Mark. 28(6), 460–470 (2014)CrossRefGoogle Scholar
  21. Slade, E.L., Dwivedi, Y.K., Piercy, N.C., Williams, M.D.: Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychol. Market. 32(8), 860–873 (2015a)CrossRefGoogle Scholar
  22. Slade, E., Williams, M., Dwivedi, Y., Piercy, N.: Exploring consumer adoption of proximity mobile payments. J. Strat. Market. 23(3), 209–223 (2015b)CrossRefGoogle Scholar
  23. Slade, E.L., Williams, M.D., Dwivedi, Y.K.: Devising a research model to examine adoption of mobile payments: an extension of UTAUT2. Market. Rev. 14(3), 310–335 (2014)CrossRefGoogle Scholar
  24. Tech Nation: About Tech Nation Ghana (2015). Accessed 2 Sept 2015
  25. Van de Ven, A.H.: Engaged Scholarship: A Guide for Organisational and Social Research. New York, Oxford (2007)Google Scholar
  26. Venkatesh, V., Davis, F.D., Morris, M.G.: Dead or alive? The development, trajectory and future of technology adoption research. J. AIS 8(4), 268–286 (2007)Google Scholar
  27. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)CrossRefGoogle Scholar
  28. Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)CrossRefGoogle Scholar
  29. Venkatesh, V., Thong, J.Y., Xu, X.: Unified theory of acceptance and use of technology: a synthesis and the road. J. Assoc. Inf. Syst. 17(5), 328–376 (2016)Google Scholar
  30. Walsham, G.: Doing interpretive research. Eur. J. Inf. Syst. 15(3), 320–330 (2006)CrossRefGoogle Scholar
  31. Wang, K., Lin, C.-L.: The adoption of mobile value-added services. Investigating the influence of IS quality and perceived playfulness. Managing Serv. Qual. 22(2), 184–208 (2012)CrossRefGoogle Scholar
  32. Williams, M.D., Rana, N.P., Dwivedi, Y.K.: The unified theory of acceptance and use of technology (UTAUT): a literature review. J. Enterp. Inf. Manag. 28(3), 443–488 (2015)CrossRefGoogle Scholar
  33. Williams, M.D., Dwivedi, Y.K., Lal, B., Schwarz, A.: Contemporary trends and issues in IT adoption and diffusion research. J. Inf. Technol. 24(1), 1–10 (2009)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Ghana Institute of Management and Public AdministrationAccraGhana
  2. 2.Tech Nation GhanaAccraGhana
  3. 3.University of Ghana Business SchoolAccraGhana
  4. 4.University of Cape CoastCape CoastGhana
  5. 5.Ghana Technology University CollegeAccraGhana
  6. 6.Withrow University CollegeKumasiGhana

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