Internet of Things Adoption: Empirical Evidence from an Emerging Country

  • Davoud NikbinEmail author
  • Ahmad Abushakra
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1027)


The purpose of this study was to investigate factors affecting entrepreneurs’ intention to adopt Internet of Things (IoT) in Oman using UTAUT2 theory. Data for this study were collected from Omani entrepreneurs in a time period of five months. Results indicated that all hypothesized relationships are supported except for the effects of price value and effort expectancy on intention to adopt IoT.


Internet of Things (IoT) UTAUT Entrepreneurs Oman 


  1. 1.
    Luthra, S., Garg, D., Mangla, S.K., Berwal, Y.P.S.: Analyzing challenges to Internet of Things (IoT) adoption and diffusion: an Indian context. Procedia Computer Sci. 125, 733–739 (2018)CrossRefGoogle Scholar
  2. 2.
    Hsu, C.-L., Lin, J.C.-C.: An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Comput. Hum. Behav. 62, 516–527 (2016)CrossRefGoogle Scholar
  3. 3.
    Medaglia, Carlo Maria, Serbanati, Alexandru: An overview of privacy and security issues in the Internet of Things. The Internet of Things, pp. 389–395. Springer, New York (2010). Scholar
  4. 4.
    Weber, R.H.: Internet of Things-new security and privacy challenges. Computer Law Secur. Rev. 26, 23–30 (2010)CrossRefGoogle Scholar
  5. 5.
    Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)CrossRefGoogle Scholar
  6. 6.
    Teo, A.-C., Tan, G.W.-H., Ooi, K.-B., Hew, T.-S., Yew, K.-T.: The effects of convenience and speed in m-payment. Ind. Manage. Data Syst. 115, 311–331 (2015)CrossRefGoogle Scholar
  7. 7.
    Dwivedi, Yogesh K., Rana, Nripendra P., Chen, Hsin, Williams, Michael D.: A Meta-analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT). In: Nüttgens, Markus, Gadatsch, Andreas, Kautz, Karlheinz, Schirmer, Ingrid, Blinn, Nadine (eds.) TDIT 2011. IAICT, vol. 366, pp. 155–170. Springer, Heidelberg (2011). Scholar
  8. 8.
    El-Masri, M., Tarhini, A.: Factors affecting the adoption of e-learning systems in Qatar and USA: extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educ. Technol. Res. Dev. 65, 743–763 (2017)CrossRefGoogle Scholar
  9. 9.
    Kamoun, F., Basel Almourad, M.: Accessibility as an integral factor in e-government web site evaluation: the case of Dubai e-government. Inf. Technol. People 27, 208–228 (2014)CrossRefGoogle Scholar
  10. 10.
    Alalwan, A.A., Dwivedi, Y.K., Rana, N.P., Lal, B., Williams, M.D.: Consumer adoption of Internet banking in Jordan: examining the role of hedonic motivation, habit, self-efficacy and trust. J. Financ. Serv. Mark. 20, 145–157 (2015)CrossRefGoogle Scholar
  11. 11.
    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. Manage. 28, 443–488 (2015)CrossRefGoogle Scholar
  12. 12.
    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, 157–178 (2012)CrossRefGoogle Scholar
  13. 13.
    Brown, S.A., Venkatesh, V.: A model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. Manage. Inf. Syst. Q. 29, 4 (2005)CrossRefGoogle Scholar
  14. 14.
    Ajzen, I.: The Theory of Planned Behavior. Organizational Behavior and Decision Processes. University of Massachusetts at Amhers, Academic Press. Inc. (1991)Google Scholar
  15. 15.
    Tarhini, A., El-Masri, M., Ali, M., Serrano, A.: Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon: a structural equation modeling approach. Inf. Technol. People 29, 830–849 (2016)CrossRefGoogle Scholar
  16. 16.
    Davis, F.D., Venkatesh, V.: Toward preprototype user acceptance testing of new information systems: implications for software project management. IEEE Trans. Eng. Manage. 51, 31–46 (2004)CrossRefGoogle Scholar
  17. 17.
    Damanpour, F., Wischnevsky, J.D.: Research on innovation in organizations: distinguishing innovation-generating from innovation-adopting organizations. J. Eng. Technol. Manage. 23, 269–291 (2006)CrossRefGoogle Scholar
  18. 18.
    Rogers, E.M.: Diffusion of innovations. Simon and Schuster (2010)Google Scholar
  19. 19.
    Thong, J.Y.: An integrated model of information systems adoption in small businesses. J. Manage. Inf. Syst. 15, 187–214 (1999)CrossRefGoogle Scholar
  20. 20.
    Hair, J.F., Ringle, C.M., Sarstedt, M.: Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Plan. 46, 1–12 (2013)CrossRefGoogle Scholar
  21. 21.
    Merhi, M.I.: Factors influencing higher education students to adopt podcast: an empirical study. Comput. Educ. 83, 32–43 (2015)CrossRefGoogle Scholar
  22. 22.
    Chu, T.-H., Chen, Y.-Y.: With good we become good: understanding e-learning adoption by theory of planned behavior and group influences. Comput. Educ. 92, 37–52 (2016)CrossRefGoogle Scholar
  23. 23.
    Venkatesh, V., Zhang, X.: Unified theory of acceptance and use of technology: US vs. China. J. Glob. Inf. technology Manage. 13, 5–27 (2010)Google Scholar
  24. 24.
    Sawang, S., Sun, Y., Salim, S.A.: It’s not only what I think but what they think! The moderating effect of social norms. Comput. Educ. 76, 182–189 (2014)CrossRefGoogle Scholar
  25. 25.
    Chen, Z., Xia, F., Huang, T., Bu, F., Wang, H.: A localization method for the Internet of Things. J. Supercomputing 63, 657–674 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of BusinessSohar UniversitySoharOman

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