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Contribution of Trust Factor Towards IOT Diffusion – An Empirical Study Using Acceptance Model

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Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation (TDIT 2020)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 617))

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Abstract

The Internet of Things (IoT) continues to evolve amongst the recent technologies which has a huge growth potential in terms of deployments and usage. The revenues on IoT is already nearing three trillion US dollars by 2020 despite COVID turbulences and the peak scale is expected to be touched by 2022. Literature says there would be 50 billion+ devices consuming 2 Zettabytes of data bandwidth. While more research is ongoing on the technical coverage of IoT and its features, less attention is paid to the behavioral aspects about the perception and usage of the IoT services. This paper makes an empirical study towards the influence of Trust on the acceptance of IoT and the adoption of IoT Services, with an update on UTAUT model. With the survey from 100+ IoT users applied with SEM reveals the significance on the Trust on IoT Provider.

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References

  1. Sharma, S.K., Sharma, M.: Examining the role of trust and quality dimensions in the actual usage of mobile banking services: an empirical investigation. Int. J. Inf. Manage. 44, 65–75 (2019)

    Article  Google Scholar 

  2. IDC: Worldwide Internet of Things (IoT) 2013–2020 Forecast, Billions of Things, Trillions of Dollars, Doc # 243661, October 2013

    Google Scholar 

  3. Asir, T.R.G., Anandaraj, W., Sivaranjani, K.N.: Internet of things and India’s readiness. In: International Conference on Computing Paradigms (ICCP2015), pp. 274–279, 24–25 July 2015

    Google Scholar 

  4. Ranasinghe, D.C., Harrison, M., Lopez, T.S., McFarlane, D.: Adding sense to the Internet of Things an architecture framework for smart objective systems. In: Conference on Pervasive Ubiquitous Computing 16, pp. 291–308 (2012)

    Google Scholar 

  5. Gao, L., Bai, X.: A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pac. J. Mark. Logistics 26(2), 211–231 (2014). http://doi.org/10.1108/APJML-06-2013-0061

  6. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)

    Article  Google Scholar 

  7. Alharbi, S.T.: Trust and acceptance of cloud computing: revised UTAUT model. In: 2014 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 131–134. IEEE (2014)

    Google Scholar 

  8. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model:our longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)

    Article  Google Scholar 

  9. Davis, F.D.: Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Google Scholar 

  10. Marchewka, J.T., Liu, C., Kostiwa, K.: An application of the UTAUT model for understanding student perceptions using course management software. Commun. IIMA 7(2), 93 (2007)

    Google Scholar 

  11. Nippie. https://commons.wikimedia.org/w/index.php?curid=14457270

  12. 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)

    Article  Google Scholar 

  13. Weerakkody, V., El-Haddadeh, R., Al-Sobhi, F., Shareef, M.A., Dwivedi, Y.K.: Examining the influence of intermediaries in facilitating e-government adoption: an empirical investigation. Int. J. Inf. Manage. 33(5), 716–725 (2013)

    Article  Google Scholar 

  14. Lian, J.W.: Critical factors for cloud based e-invoice service adoption in Taiwan: an empirical study. Int. J. Inf. Manage. 35(1), 98–109 (2015)

    Article  Google Scholar 

  15. Wang, W.: Interactive decision aids for consumer decision making in e-commerce: the influence of perceived strategy restrictiveness. MIS Q. 293–320 (2009)

    Google Scholar 

  16. Al-Momani, A.M., Mahmoud, M.A., Ahmad, M.S.: Modeling the adoption of internet of things services: a conceptual framework. Int. J. Appl. Res. 2(5), 361–367 (2016)

    Google Scholar 

  17. Gao, L., Bai, X.: A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pac. J. Mark. Logistics 26(2), 211–231. http://doi.org/10.1108/APJML-06-2013-0061 (2014)

  18. Acquity Group: The Internet of Things: the continuation of the internet, 8–9 (2014)

    Google Scholar 

  19. Alolayan, B.: Do i really have to accept smart fridges? an empirical study. In: ACHI 2014: The Seventh International Conference of Advances in Computer-Human Interactions, pp. 186–191 (2014). http://www.iaria.org/conferences2014/ACHI14.html

  20. Evans, H.I.: Barriers to successful implementation of the internet of things in marketing strategy. Int. J. Inf. Commun. Technol. Res. 5(9) (2015)

    Google Scholar 

  21. Abu, F., Yunus, A.R., Jabar, J.: Modified of UTAUT theory in adoption of technology for Malaysia small medium enterprises (SMEs) in food industry. Aust. J. Basic Appl. Sci. 9(4), 104–109 (2015)

    Google Scholar 

  22. Kim, K.J., Shin, D.H.: An acceptance model for smart watches: implications for the adoption of future wearable technology. Internet Res. 25(4), 527–541 (2015)

    Article  Google Scholar 

  23. Han, B., Andy, W.Y., Windsor, J.: User’s adoption of free third-party security apps. J. Comput. Inf. Syst. 54(3), 77–86 (2014)

    Google Scholar 

  24. Mayer, R.C., Davis, J.H., Schoorman, F.D.: An integrative model of organizational trust. Acad. Manage. Rev. 20(3), 709–734 (1995)

    Article  Google Scholar 

  25. Alharbi, S.T.: Trust and acceptance of cloud computing: a revised UTAUT model. In: 2014 International Conference on Computational Science and Computational Intelligence (CSCI), vol. 2, pp. 131–134. IEEE (2014)

    Google Scholar 

  26. Sharma, S.K., Al-Badi, A.H., Govindaluri, S.M., Al-Kharusi, M.H.: Predicting motivators of cloud computing adoption: a developing country perspective. Comput. Hum. Behav. 62 (2016). https://doi.org/10.1016/j.chb.2016.03.073

  27. Hair Jr, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis – A Global perspective. 7th ed. (2014)

    Google Scholar 

  28. Roca, J., Jose, J.: The Importance of Perceived Trust, Security and Privacy in Online Trading Systems, Information Management and Computer Security, vol. 17, pp 96–113. Emerald Group Publishing Limited, Bingley (2009)

    Google Scholar 

  29. https://telecom.economictimes.indiatimes.com/news/reliance-jio-builds-in-house-5g-iottech-to-reduce-dependence-on-foreign-gear-replaces-nokia-oracle-tech-with-owntech/74534777

  30. https://www.financialexpress.com/brandwagon/airtel-targets-zero-questions-with-newcampaign/1996084/

  31. 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 (2017)

    Article  Google Scholar 

  32. Queiroz, M.M., Wamba, S.F., De Bourmont, M., Telles, R.: Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy. Int. J. Prod. Res. (2020)

    Google Scholar 

  33. Asia Video Industry Association, 21 September 2020. https://advanced-television.com/2020/09/21/avia-covid-speeds-up-indias-move-to-digital-tv/

  34. TBR Research. https://bit.ly/2USKLMK

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Acknowledgement

We would like to thank Nokia, College of Engineering Guindy, for giving us such an opportunity to carry out this research work and for providing us the requisite resources and infrastructure for carrying out the research. Special thanks to Mr. Madhu Kumar Krishnan, Mr. Dinesh Birlasekaran, Mr. Wilson Anandaraj from Nokia for being a mentor towards the research on IoT and my friend Mr. Kirubaharan from College of Engineering Guindy, for his valuable review comments.

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Authors and Affiliations

  1. College of Engineering, Cloud Services PLM, Nokia, Guindy, Chennai, India

    Reuban Gnana Asir

  2. Department of Management Studies, College of Engineering, Guindy, Chennai, India

    Hansa Lysander Manohar

Authors
  1. Reuban Gnana Asir
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  2. Hansa Lysander Manohar
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Correspondence to Reuban Gnana Asir .

Editor information

Editors and Affiliations

  1. Indian Institute of Management Tiruchira, Tiruchirappalli, India

    Sujeet K. Sharma

  2. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  3. Indian Institute of Management Nagpur, Nagpur, India

    Bhimaraya Metri

  4. University of Bradford, Bradford, UK

    Nripendra P. Rana

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Asir, R.G., Manohar, H.L. (2020). Contribution of Trust Factor Towards IOT Diffusion – An Empirical Study Using Acceptance Model. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds) Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. TDIT 2020. IFIP Advances in Information and Communication Technology, vol 617. Springer, Cham. https://doi.org/10.1007/978-3-030-64849-7_61

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  • DOI: https://doi.org/10.1007/978-3-030-64849-7_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64848-0

  • Online ISBN: 978-3-030-64849-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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