Leveraging Artificial Intelligence–Powered Chatbots for Nonprofit Organizations: Examining the Antecedents and Outcomes of Chatbot Trust and Social Media Engagement

ABSTRACT With the growing utilization of artificial intelligence–powered chatbot services in the realm of nonprofit communication and the increasing significance of public engagement on social media platforms, researchers are facing a pivotal question: How can nonprofit organizations effectively harness chatbot technologies to influence the public's social media engagement and foster donation intention? In this study, we explore this question by integrating theoretical insights from social exchange theory, the service robot acceptance model, and pertinent prior literature. A survey involving 591 chatbot users located in the United States was conducted to explore the interplay between the functional and emotional values attributed to chatbots and their impacts on users' trust in the World Health Organization's chatbot services, subsequently influencing social media engagement and donation intention. The findings of this study have valuable theoretical and practical implications for nonprofit organizations seeking to optimize their use of chatbot technologies, with the goals of enhancing user engagement and encouraging donation behavior.

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Publication Details

Journal
Journal of Philanthropy
Published
2025-02-01
DOI
https://doi.org/10.1002/nvsm.70013
Citations
5
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
12.40

Funders

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article

Leveraging Artificial Intelligence–Powered Chatbots for Nonprofit Organizations: Examining the Antecedents and Outcomes of Chatbot Trust and Social Media Engagement

Yuan Wang, Yang Cheng
5 citations
Journal of Philanthropy
AI in Service Interactions
12.40
article

Leveraging Artificial Intelligence–Powered Chatbots for Nonprofit Organizations: Examining the Antecedents and Outcomes of Chatbot Trust and Social Media Engagement

Yuan Wang, Yang Cheng
article en
5 citations

Abstract

ABSTRACT With the growing utilization of artificial intelligence–powered chatbot services in the realm of nonprofit communication and the increasing significance of public engagement on social media platforms, researchers are facing a pivotal question: How can nonprofit organizations effectively harness chatbot technologies to influence the public's social media engagement and foster donation intention? In this study, we explore this question by integrating theoretical insights from social exchange theory, the service robot acceptance model, and pertinent prior literature. A survey involving 591 chatbot users located in the United States was conducted to explore the interplay between the functional and emotional values attributed to chatbots and their impacts on users' trust in the World Health Organization's chatbot services, subsequently influencing social media engagement and donation intention. The findings of this study have valuable theoretical and practical implications for nonprofit organizations seeking to optimize their use of chatbot technologies, with the goals of enhancing user engagement and encouraging donation behavior.

Journal of PhilanthropyVol. 30(1)
North Carolina State University (US), Education University of Hong Kong (HK)
North Carolina State University
Openalex Percentile: Top 2%
AI in Service Interactions
12.40
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