Advertisement

Proposing a Framework for Citizen’s Adoption of Public-Sector Open IoT Data (OIoTD) Platform in Disaster Management

  • Muhammad Mahboob KhurshidEmail author
  • Nor Hidayati Zakaria
  • Ammar Rashid
  • Muhammad Noman Shafique
  • Ashish Khanna
  • Deepak Gupta
  • Yunis Ali Ahmed
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1059)

Abstract

Disaster management revolves around preparing, mitigating, responding, and recovering from a sudden disruption that has catastrophic effects on human lives, economy, and infrastructure. Data of Internet-connected things (termed as Internet of things) openly available in big quantities digitally by the government leverages data-driven innovations and efficient decision-making in disaster management. However, research on exploring the predictors affecting the usability and benefits of such platforms (i.e., Open IoT Data (OIoTD) platform) from the perspective of individual unit of adoption is currently lacking. Therefore, lack of research on predictors affecting the adoption of OIoTD platform from the citizen’s perspective stimulated us to conduct this research. A better understanding of these predictors can help policy-makers to determine the policy instrument to increase adoption of OIoTD platform for a wider community. In order to evaluate its adoption from citizen’s perspective in disaster management scenario, a framework has been proposed in this study.

Keywords

Internet of things Open data Big data Public sector Open Internet of things data Disaster management Technology adoption 

References

  1. 1.
  2. 2.
    Maqbool MY, Hussain S, Khan MB (2017) National framework of disaster risk management in Pakistan: issues, challenges & policy recommendations. Abasyn J Soc Sci 10:182–192Google Scholar
  3. 3.
    NDMA (2017) National Disaster Management Authority Annual Report 2017Google Scholar
  4. 4.
    Carcary M, Maccani G, Doherty E, Conway G (Year) Exploring the determinants of IoT adoption: findings from a systematic literature review. Springer International Publishing, pp 113–125Google Scholar
  5. 5.
    Rogers EM (2003) Diffusion of innovations. The Free Press, New YorkGoogle Scholar
  6. 6.
    Fishbein M, Ajzen I (1977) Belief, attitude, intention, and behavior: an introduction to theory and research. Addison-Wesley, ReadingGoogle Scholar
  7. 7.
    Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13:319–340CrossRefGoogle Scholar
  8. 8.
    Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27:425–478CrossRefGoogle Scholar
  9. 9.
    Dwivedi YK, Rana NP, Janssen M, Lal B, Williams MD, Clement M (2017) An empirical validation of a unified model of electronic government adoption (UMEGA). Gov Inf Q 34:211–230CrossRefGoogle Scholar
  10. 10.
    Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q 19:213–236CrossRefGoogle Scholar
  11. 11.
    William HD, Ephraim RM (2003) The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst 19:9–30CrossRefGoogle Scholar
  12. 12.
    Sinha A, Kumar P, Rana NP, Islam R, Dwivedi YK (2017) Impact of internet of things (IoT) in disaster management: a task-technology fit perspective. Ann Oper ResGoogle Scholar
  13. 13.
    Sun H (2013) A longitudinal study of herd behavior in the adoption and continued use of technology. MIS Q 37Google Scholar
  14. 14.
    Cheng Y-M (2018) A hybrid model for exploring the antecedents of cloud ERP continuance. Int J Web Inf SystGoogle Scholar
  15. 15.
    Ajzen I, Fishbein M (1980) Understanding attitudes and predicting social behaviour. Prentice-Hall, Engle-wood-CliffsGoogle Scholar
  16. 16.
    DPP (2018) Digital Pakistan Policy. In: Telecom, M.o.I.T. (ed)Google Scholar
  17. 17.
    NA (2017) Pakistan Right of Access to Information Act, 2017. Federal Government, National Assembly of PakistanGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Muhammad Mahboob Khurshid
    • 1
    Email author
  • Nor Hidayati Zakaria
    • 2
  • Ammar Rashid
    • 3
  • Muhammad Noman Shafique
    • 4
  • Ashish Khanna
    • 5
  • Deepak Gupta
    • 5
  • Yunis Ali Ahmed
    • 6
  1. 1.School of Computing, Faculty of EngineeringUniversiti Teknologi MalaysiaJohor BahruMalaysia
  2. 2.Azman Hashim International Business SchoolUniversiti Teknologi MalaysiaKuala LumpurMalaysia
  3. 3.College of Engineering and ITAjman UniversityAjmanUAE
  4. 4.Dongbei University of Finance and EconomicsDalianChina
  5. 5.Computer Science and EngineeringMaharaja Agrasen Institute of TechnologyDelhiIndia
  6. 6.Faculty of ComputingSIMAD UniversityMogadishuSomalia

Personalised recommendations