This nonexperimental survey-based online quantitative study measures how technical training for nonprofit managers affects their use of big data technology. The research employs the Unified Theory of Acceptance and Use of Technology as a theoretical framework to evaluate whether nonprofit managers receive adequate training on big data technology. By adopting a quantitative approach, this study aims to address the knowledge gap regarding the technical training that nonprofit managers receive in utilizing big data technology. Data is one of the most valuable resources available today, and nonprofits need to keep pace with advancements in big data technology. To make informed decisions that maximize their societal impact, nonprofits must leverage big data technology to monitor and evaluate their program activities. Nonprofit managers can enhance their effectiveness by using big data technology to gain insights into solving issues related to education, unemployment, poverty, and social exclusion. The study seeks to determine how technical training (facilitating conditions) for nonprofit managers who utilize big data technology differs from that of managers who do not. This research may help close existing gaps in knowledge regarding the use of big data technology and the technical training necessary for managers. The study is centered exclusively on nonprofits in the United States, which would restrict the generalizability of the findings in other organizational settings by potentially limiting its broader applicability.
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