Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487

An Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 2 Issue 5
September-October 2024

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AI-Driven Strategies for Enhancing Non-Profit Organizational Impact

Author(s) Omar Faruq, Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed
Country United States
Abstract Throughout the last couple of years, Artificial Intelligence (AI) has come under consideration as a revolutionizer of numerous sectors in which the non-profit sector is involved is not an exception. AI intervention can be applied to the non-profit techniques in a way that this paper seeks to explain the extent of the success that can be realized. It discusses AI’s role in the non-profit organizations and pinpoints technologies like data analysis, AI-based fundraising solutions, program assessment, and chatbots to engage the donors. The paper also reviews general issues associated with the application of AI solutions including inadequate funds, dearth of specialists in AI and data privacy issues, and come up with measures to mitigate these challenges. It also elaborates on the evaluation indicators of the degree of AI impact in non-profits such as, efficiency increment indicators, fundraising indicators, changes in the programs, and indicators of stakeholders. The conclusions are that it is possible to achieve the positive impact on the function of distinctive non-profit organizations through the successful application of AI.
Keywords AI applications, non-profit sector, AI integration, implementation challenges, impact metrics
Discipline Other
Published In Volume 2, Issue 5, September-October 2024
Published On 2024-09-18
Cite This AI-Driven Strategies for Enhancing Non-Profit Organizational Impact - Omar Faruq, Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. DOI 10.62127/aijmr.2024.v02i05.1088
DOI https://doi.org/10.62127/aijmr.2024.v02i05.1088
Short DOI https://doi.org/g2hsq8
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