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Trusting AI to increase productivity? Perspectives Across the Global North and South

SLR_data.xlsxThis file contains the data collected during the systematic literature review. It includes Google Scholar search results and four separate sheets documenting the different screening and selection rounds. Survey_questions.pdfThis file c

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CreatorAnonymous
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Published2026-05-28
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DOI10.5281/zenodo.20431971
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Downloads141
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Licensecc-by-4.0
File Size7.6 MB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views66
Total Downloads141

SLR_data.xlsx
This file contains the data collected during the systematic literature review. It includes Google Scholar search results and four separate sheets documenting the different screening and selection rounds.

Survey_questions.pdf
This file contains the full set of survey questions used in the study. The survey was designed to collect responses from academics and software developers about their use of AI tools, trust in AI, perceived productivity effects, and contextual access conditions.

Survey_data.xlsx
This file contains the anonymized survey responses collected for the study. The data includes respondents’ demographic information, AI usage patterns, trust-related responses, productivity-related responses, and answers to open-ended questions.

Grey_literature_data.xlsx
This file contains the grey literature review data. It includes the results of each Google Search query, the collected sources, the filtering process, and a summary of the selected grey literature used to support the study.

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Trusting AI to increase productivity? Perspectives Across the… (Full Dataset)7.6 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Anonymous (2026). Trusting AI to increase productivity? Perspectives Across the Global North and South. https://doi.org/10.5281/zenodo.20431971