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Impact of internet of things (IoT) in disaster management: a task-technology fit perspective

Author

Listed:
  • Akash Sinha

    (National Institute of Technology Patna)

  • Prabhat Kumar

    (National Institute of Technology Patna)

  • Nripendra P. Rana

    (Swansea University)

  • Rubina Islam

    (The University of Salford)

  • Yogesh K. Dwivedi

    (Swansea University Bay campus)

Abstract

Disaster management aims to mitigate the potential damage from the disasters, ensure immediate and suitable assistance to the victims, and attain effective and rapid recovery. These objectives require a planned and effective rescue operation post such disasters. Different types of information about the impact of the disaster are, hence, required for planning an effective and immediate relief operation. The IoT technology available today is quite mature and has the potential to be very useful in disaster situations. This paper analyzes the requirements for planning rescue operation for such natural disasters and proposes an IoT based solution to cater the identified requirements. The proposed solution is further validated using the task-technology fit (TTF) approach for analyzing the significance of the adoption of IoT technology for disaster management. Results from the exploratory study established the core dimensions of the task requirements and the TTF constructs. Results from the confirmatory factor analysis using PLS path modelling, further, suggest that both task requirements and IoT technology have significant impact on the IoT TTF in the disaster management scenario. This paper makes significant contributions in the development of appropriate constructs for modeling TTF for IoT Technology in the context of disaster management.

Suggested Citation

  • Akash Sinha & Prabhat Kumar & Nripendra P. Rana & Rubina Islam & Yogesh K. Dwivedi, 2019. "Impact of internet of things (IoT) in disaster management: a task-technology fit perspective," Annals of Operations Research, Springer, vol. 283(1), pages 759-794, December.
    • Handle: RePEc:spr:annopr:v:283:y:2019:i:1:d:10.1007_s10479-017-2658-1
    DOI: 10.1007/s10479-017-2658-1
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    1. Linet Özdamar & Ediz Ekinci & Beste Küçükyazici, 2004. "Emergency Logistics Planning in Natural Disasters," Annals of Operations Research, Springer, vol. 129(1), pages 217-245, July.
    2. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    3. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task‐technology fit model to structure and evaluate the adoption of E‐books by Academics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    4. A. Anaya-Arenas & J. Renaud & A. Ruiz, 2014. "Relief distribution networks: a systematic review," Annals of Operations Research, Springer, vol. 223(1), pages 53-79, December.
    5. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    6. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    7. Mark T. Dishaw & Diane M. Strong, 2003. "The Effect of Task and Tool Experience on Maintenance CASE Tool Usage," Information Resources Management Journal (IRMJ), IGI Global, vol. 16(3), pages 1-16, July.
    8. Suhong Li & John K. Visich, 2006. "Radio frequency identification: supply chain impact and implementation challenges," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 2(4), pages 407-424.
    9. John D'Ambra & Concepción S. Wilson, 2004. "Use of the World Wide Web for international travel: Integrating the construct of uncertainty in information seeking and the task‐technology fit (TTF) model," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(8), pages 731-742, June.
    10. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    11. Christian Burkart & Pamela C. Nolz & Walter J. Gutjahr, 2017. "Modelling beneficiaries’ choice in disaster relief logistics," Annals of Operations Research, Springer, vol. 256(1), pages 41-61, September.
    12. France Belanger & Rosann Webb Collins & Paul H. Cheney, 2001. "Technology Requirements and Work Group Communication for Telecommuters," Information Systems Research, INFORMS, vol. 12(2), pages 155-176, June.
    13. Yang, L. & Yang, S.H. & Plotnick, L., 2013. "How the internet of things technology enhances emergency response operations," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1854-1867.
    14. Xihui Wang & Yunfei Wu & Liang Liang & Zhimin Huang, 2016. "Service outsourcing and disaster response methods in a relief supply chain," Annals of Operations Research, Springer, vol. 240(2), pages 471-487, May.
    15. Herbert Simon, 1997. "The future of information systems," Annals of Operations Research, Springer, vol. 71(0), pages 3-14, January.
    16. Kuo-Yu Huang & Yea-Ru Chuang, 2016. "A task–technology fit view of job search website impact on performance effects: An empirical analysis from Taiwan," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1253943-125, December.
    17. Feng Yang & Qianqian Yuan & Shaofu Du & Liang Liang, 2016. "Reserving relief supplies for earthquake: a multi-attribute decision making of China Red Cross," Annals of Operations Research, Springer, vol. 247(2), pages 759-785, December.
    18. Dale Goodhue & Russell Littlefield & Detmar W. Straub, 1997. "The measurement of the impacts of the IIC on the end‐users: The survey," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(5), pages 454-465, May.
    19. Lei Lei & Michael Pinedo & Lian Qi & Shengbin Wang & Jian Yang, 2015. "Personnel scheduling and supplies provisioning in emergency relief operations," Annals of Operations Research, Springer, vol. 235(1), pages 487-515, December.
    20. Eva Lee & Siddhartha Maheshwary & Jacquelyn Mason & William Glisson, 2006. "Decision support system for mass dispensing of medications for infectious disease outbreaks and bioterrorist attacks," Annals of Operations Research, Springer, vol. 148(1), pages 25-53, November.
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