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Engaging donors on crowdfunding platform in Disaster Relief Operations (DRO) using gamification: A Civic Voluntary Model (CVM) approach

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  • Behl, Abhishek
  • Dutta, Pankaj

Abstract

Natural disasters have caused significant financial and economic losses. One prominent way to combat these losses is crowdfunding. Donation-based crowdfunding platforms have been the backbone for disaster relief operations (DRO), but the engagement of donors with these platforms needs significant attention. This study aims to understand how gamification is used as a tool for understanding the behaviour of donors on crowdfunding platforms for DRO. The study uses the Civic Voluntary Model (CVM) to propose the conceptual framework and collects empirical data from 321 respondents to test the hypothesis. The study uses information quality and voluntariness as moderating variables and the model also controls for ownership of the crowdfunding platform and previous experience of donation. The results confirm that gamification positively impacts the behaviour of donors, which then leads to higher participation in crowdfunding channels. Both information quality and voluntary behaviour of donors have significant moderating effects that help in understanding the behaviour of donors and their participation in crowdfunding platforms. The results indicate that previous experience of making donations does not have a significant impact on the behaviour and actions of donors. The study thus brings a fresh perspective to using game mechanics along with understanding the quality of information on crowdfunding platforms to attract and sustain donations in DRO.

Suggested Citation

  • Behl, Abhishek & Dutta, Pankaj, 2020. "Engaging donors on crowdfunding platform in Disaster Relief Operations (DRO) using gamification: A Civic Voluntary Model (CVM) approach," International Journal of Information Management, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ininma:v:54:y:2020:i:c:s0268401219313039
    DOI: 10.1016/j.ijinfomgt.2020.102140
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    Citations

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    Cited by:

    1. Rabin K. Jana & Dinesh K. Sharma & Peeyush Mehta, 2022. "A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials," Annals of Operations Research, Springer, vol. 319(1), pages 149-172, December.
    2. Abhishek Behl & Pankaj Dutta & Zongwei Luo & Pratima Sheorey, 2022. "Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach," Annals of Operations Research, Springer, vol. 319(1), pages 761-789, December.
    3. Behl, Abhishek & Gaur, Jighyasu & Pereira, Vijay & Yadav, Rambalak & Laker, Benjamin, 2022. "Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach," Journal of Business Research, Elsevier, vol. 148(C), pages 378-389.
    4. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril, 2022. "Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. Xiaohang Wu & Hasan Dinçer & Serhat Yüksel, 2022. "Analysis of crowdfunding platforms for microgrid project investors via a q-rung orthopair fuzzy hybrid decision-making approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    6. Behl, Abhishek & Jayawardena, Nirma & Pereira, Vijay & Islam, Nazrul & Giudice, Manlio Del & Choudrie, Jyoti, 2022. "Gamification and e-learning for young learners: A systematic literature review, bibliometric analysis, and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.

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