A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations
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 art...
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MDPI AG
2023-10-01
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| Online Access: | https://www.mdpi.com/2078-2489/14/10/578 |
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| author | Idrees Alsolbi Renu Agarwal Bhuvan Unhelkar Tareq Al-Jabri Mahendra Samarawickrama Siamak Tafavogh Mukesh Prasad |
| author_facet | Idrees Alsolbi Renu Agarwal Bhuvan Unhelkar Tareq Al-Jabri Mahendra Samarawickrama Siamak Tafavogh Mukesh Prasad |
| author_sort | Idrees Alsolbi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T21:10:49Z |
| format | Article |
| id | doaj.art-6b87e1b0a9cd448696c5c065786fad0c |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T21:10:49Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-6b87e1b0a9cd448696c5c065786fad0c2023-11-19T16:48:27ZengMDPI AGInformation2078-24892023-10-01141057810.3390/info14100578A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit OrganisationsIdrees Alsolbi0Renu Agarwal1Bhuvan Unhelkar2Tareq Al-Jabri3Mahendra Samarawickrama4Siamak Tafavogh5Mukesh Prasad6Department of Information Systems, Umm Al-Qura University, Makkah 21955, Saudi ArabiaUTS Business School, University of Technology Sydney, Sydney 2007, AustraliaMuma College of Business, University of South Florida Sarasota-Manatee, Sarasota, FL 34243, USASaudi Telecommunication Company, Riyadh 11564, Saudi ArabiaCentre for Sustainable AI, Sydney 2000, AustraliaDepartment of Finance, Commonwealth Bank Health Society, Sydney 2000, AustraliaAustralian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Sydney 2007, AustraliaAnalysing 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.https://www.mdpi.com/2078-2489/14/10/578decision support systemsdesign science researchdonor behaviournonprofit organisationsdata analysisartificial intelligence |
| spellingShingle | Idrees Alsolbi Renu Agarwal Bhuvan Unhelkar Tareq Al-Jabri Mahendra Samarawickrama Siamak Tafavogh Mukesh Prasad A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations Information decision support systems design science research donor behaviour nonprofit organisations data analysis artificial intelligence |
| title | A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations |
| title_full | A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations |
| title_fullStr | A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations |
| title_full_unstemmed | A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations |
| title_short | A Conceptual Design of an AI-Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations |
| title_sort | conceptual design of an ai enabled decision support system for analysing donor behaviour in nonprofit organisations |
| topic | decision support systems design science research donor behaviour nonprofit organisations data analysis artificial intelligence |
| url | https://www.mdpi.com/2078-2489/14/10/578 |
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