{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-01-22","version":"1"},"project_desc":{"authoring_entity":[{"name":"Mahvish Shaukat","affiliation":"World Bank","email":"mshaukat@worldbank.org"},{"name":"Andreas Stegmann","affiliation":"University of Warwick","email":"andreas.stegmann@warwick.ac.uk"},{"name":"Mattie Toma","affiliation":"Warwick Business School","email":"mattie.toma@warwick.ac.uk"}],"title_statement":{"title":"Reproducibility package for How Do Organizations Learn? The Diffusion Of Scientific Evidence On Generative AI","idno":"RR_USA_2025_499"},"data_statement":"Data is forthcoming in the World Bank Microdata Library.","software":[{"name":"Stata","version":"18 MP"}],"scripts":[{"title":"Reproducibility package for How Do Organizations Learn? The Diffusion Of Scientific Evidence On Generative Ai","date":"2026-01","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"RR_USA_2025_499","zip_package":"RR_USA_2025_499.zip","dependencies":"Stata dependencies are listed in the ado folder."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-01-22","abstract":"We study information diffusion in a large organization through a field experiment at the World Bank. We focus on transmission of scientific evidence on the impacts of generative AI by experimentally varying whether research findings are shared with senior or junior staff, and varying beliefs about peer adoption and evidence credibility. Providing evidence to senior staff significantly increases transmission and diffusion as measured by engagement with study materials and colleagues' recall of study details. In contrast, changing beliefs about peer adoption or credibility has no detectable effects. The results highlight the importance of organizational hierarchy in shaping informal information flows.","geographic_units":[{"name":"United States of America","code":"USA"}],"keywords":[{"name":"Information Diffusion"},{"name":"Organizational Learning"},{"name":"Evidence Use"}],"topics":[{"id":"D83","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Search \u2022 Learning \u2022 Information and Knowledge \u2022 Communication \u2022 Belief \u2022 Unawareness","parent_id":"D8"},{"id":" D73","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Bureaucracy \u2022 Administrative Processes in Public Organizations \u2022 Corruption","parent_id":"D7"},{"id":" M50","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"General","parent_id":"M5"},{"id":" C93","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Field Experiments","parent_id":"C9"}],"output":[{"type":"Working Paper","description":"Policy Research Working Papers (PRWP)","title":"How Do Organizations Learn? The Diffusion Of Scientific Evidence On Generative Ai"}],"language":[{"name":"English","code":"EN"}],"disclaimer":"The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development\/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Mahvish Shaukat","affiliation":"World Bank","email":"mshaukat@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"How Do Organizations Learn Survey Data","note":"Dataset names: `Wave 1 Seed.dta`, `Wave 2 Seed.dta`, `Wave 1 Contact.dta`, `Wave 2 Contact.dta`, `Wave 1 Treatment.dta`, `Wave 2 Treatment.dta`. `Wave1_article_clicks.csv`, `wave1_infographic clicks.csv`, `wave2_article clicks.csv`, `wave2_infographic clicks.csv`, `Wave 1 Seed_batch.dta`, `Wave 2 Seed_batch.dta`, `Wave 1 Links_withNewID.dta`, `Wave 2 Links_withNewID.dta`, `Evidence Transmission_SSPP.xls`, `Evidence Transmission_WP.xls`. These datasets will be made available at the World Bank Microdata Library in the future.\nFor Wave1_URL_links and Wave2_URL_links datasets users can reach out to mshaukat@worldbank.org. \nAccess date: 2025.","access_type":"Data is forthcoming on the World Bank Microdata Library.","citation":"Shaukat, M., Stegmann, A., Tome, M. (2025). \"How Do Organizations Learn? The Diffusion of Scientific Evidence on Generative AI [Dataset]\". World Bank."},{"name":"World Bank Administrative Data ","note":"Dataset names: `Position data.dta`, `Base Dataset.dta`\nThese are restricted data sets, to require access please reach out to mshaukat@worldbank.org. `Base dataset.dta` contains anonymized division IDs and anonymized PMU IDs. `Position data.dta` contains binary indicators for managerial and administrative positions.  Both datasets were sourced from World Bank HR, and kept secure and anonymized in line with the World Bank Group Personal Data Privacy Policy.\nAccess date: 2025.","access_type":"Data access was granted directly to the study authors by the data owners\/managers and it is not included in the reproducibility package.","citation":"World Bank. (n.d.). Administrative Data [Dataset]. World Bank."}],"technology_requirements":"~1 minute runtime.","reproduction_instructions":"To reproduce the findings in this study, please follow the steps below:\n1. **Acquire the Data**. Please refer to the *Datasets* subsection of this documentation. \n2. **Change main directory**. Update the global macro $mainFolder to the root directory where your data and output folders reside. \n3. **Run the master do file**.","technology_environment":"OS: MacBook-Pro (13 inch, M2,  2022)\nProcessor: Apple M2\nMemory available: 8 GB "},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Restricted Data"}],"schematype":"script"}