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AI Unlocking the Potential of NGOs

Author

Listed:
  • Dr. Chris Daniel Wong

    (Senior Fellow of Chartered Institute of Digital Economy)

  • Dr. Nicole Foo

    (Fellow of Chartered Institute of Digital Economy)

  • Dr. Stephen T. Homer

    (Director, Yunus Social Business Certre, Sunway University)

  • Dr. Chua Keng Soon

    (Fellow of Chartered Institute of Digital Economy)

  • Dr. Soon Ee Hooi

    (District Membership Chair of Rotary Club Malaysia)

Abstract

In an era characterized by rapid technological advances, complex global challenges, and evolving societal needs, Non-Governmental Organizations (NGOs) find themselves at a pivotal crossroads. They are tasked with tackling an expansive array of issues from alleviating poverty and expanding educational access to combating climate change and responding to natural disasters. These organizations, driven by a mission to serve marginalized populations and promote social good, are often constrained by limited resources, operational challenges, and an increasing demand for transparency and accountability. Despite their vital role, many NGOs face persistent hurdles that hinder their ability to maximize impact. These include limited funding streams, insufficient staffing, difficulties in data management, and barriers in effectively engaging with diverse communities across the globe. As the volume of data continues to soar exponentially—with digital transformations and connectivity reaching more regions—NGOs are seeking innovative solutions to better understand, respond to, and measure the needs of the populations they serve.

Suggested Citation

  • Dr. Chris Daniel Wong & Dr. Nicole Foo & Dr. Stephen T. Homer & Dr. Chua Keng Soon & Dr. Soon Ee Hooi, 2025. "AI Unlocking the Potential of NGOs," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 5184-5197, July.
  • Handle: RePEc:bcp:journl:v:9:y:2025:issue-7:p:5184-5197
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    References listed on IDEAS

    as
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