A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations-Reference-Cited by-同舟云学术

A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations

Published:2023-10-20 Issue:10 Volume:14 Page:578
ISSN:2078-2489
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language:en
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Author:

Alsolbi Idrees¹,Agarwal Renu²^ORCID,Unhelkar Bhuvan³^ORCID,Al-Jabri Tareq⁴,Samarawickrama Mahendra⁵^ORCID,Tafavogh Siamak⁶,Prasad Mukesh⁷^ORCID

Affiliation:

1. Department of Information Systems, Umm Al-Qura University, Makkah 21955, Saudi Arabia

2. UTS Business School, University of Technology Sydney, Sydney 2007, Australia

3. Muma College of Business, University of South Florida Sarasota-Manatee, Sarasota, FL 34243, USA

4. Saudi Telecommunication Company, Riyadh 11564, Saudi Arabia

5. Centre for Sustainable AI, Sydney 2000, Australia

6. Department of Finance, Commonwealth Bank Health Society, Sydney 2000, Australia

7. Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Sydney 2007, Australia

Abstract

Analysing and understanding donor behaviour in nonprofit organisations (NPOs) is challenging due to the lack of human and technical resources. Machine learning (ML) techniques can analyse and understand donor behaviour at a certain level; however, it remains to be seen how to build and design an artificial-intelligence-enabled decision-support system (AI-enabled DSS) to analyse donor behaviour. Thus, this paper proposes an AI-enabled DSS conceptual design to analyse donor behaviour in NPOs. A conceptual design is created following a design science research approach to evaluate an AI-enabled DSS’s initial DPs and features to analyse donor behaviour in NPOs. The evaluation process of the conceptual design applied formative assessment by conducting interviews with stakeholders from NPOs. The interviews were conducted using the Appreciative Inquiry framework to facilitate the process of interviews. The evaluation of the conceptual design results led to the recommendation for efficiency, effectiveness, flexibility, and usability in the requirements of the AI-enabled DSS. This research contributes to the design knowledge base of AI-enabled DSSs for analysing donor behaviour in NPOs. Future research will combine theoretical components to introduce a practical AI-enabled DSS for analysing donor behaviour in NPOs. This research is limited to such an analysis of donors who donate money or volunteer time for NPOs.

Publisher

MDPI AG

Subject

Information Systems

Link

https://www.mdpi.com/2078-2489/14/10/578/pdf

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