Item Response Warehouse / Tables / okeke2025_ai_usefulness_preokeke2025_ai_usefulness_pre
600 responses from 200 respondents to 3 items.
About this table
Description Perceived Usefulness of AI Tools at baseline from a supply chain AI study (N=200, 3 items, 1-5). Reference Okeke, C. et al. (2025). Leveraging generative AI to enhance cognitive agility in supply chain decision-making [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28768874.v1 Licence CC BY 4.0 Source data https://figshare.com/articles/dataset/28768874
Size and shape
Responses 600 Respondents 200 Items 3 Response categories 5 Responses per respondent 3 Responses per item 200 Density 1 Longitudinal FALSE
Classification
sample Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response
Columns
cov_industry cov_role cov_years_sc_experience id item resp treat
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("okeke2025_ai_usefulness_pre")
# Python
pip install irw
import irw
df = irw.fetch("okeke2025_ai_usefulness_pre")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_2 v19.0 Redivis dataset DOI 10.57761/qtx5-4m80 Manifest pin for this IRW version v19.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_2 v19.0.