3,860 responses from 386 respondents to 10 items.
| Description | Perceived AI benefit across 10 sectors (healthcare, insurance, agriculture, finance, military, law enforcement, environment, transport, manufacturing, HR); N=386 adults in Bosnia and Herzegovina; 1-5 Likert |
|---|---|
| Reference | Karajko, A., Slabić, E., & Krivić, S. (2025). Artificial Intelligence in Bosnia and Herzegovina: A Study on Awareness, Attitude, and Trust [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/IREEJJ |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/IREEJJ |
| Responses | 3,860 |
|---|---|
| Respondents | 386 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 386 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | bos |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Percepcije o vještačkoj inteligenciji (VI) građana BiH -- P7, procjena koliko se VI koristi po sektorima |
|---|---|
| Mean words per item | 8 |
| Mean characters per item | 68 |
| Mean characters per response | 7.200 |
| Flesch-Kincaid grade level | 14.659 |
cov_agecov_educationcov_gendercov_regioniditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("karajko2025_ai_benefit")
# Python
pip install irw
import irw
df = irw.fetch("karajko2025_ai_benefit")
| 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 |