3,860 responses from 386 respondents to 10 items.
One of 4 tables from the same source; this one is the benefit table. The others are listed under Related tables.
| 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 |
These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.
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 | 15.913 |
This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_education | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_region | Covariate | not traced |
What item codes and covariate values stand for is in the source’s documentation, ESM_4.pdf.
Respondent uniqueness. 7% of this table’s respondents are alone in their combination of the 4 covariates above — no one else in the table shares it. That is a necessary condition for re-identification and not re-identification itself, and on a sample this size it is largely arithmetic. The IRW republishes the demographics its sources published and never at finer granularity: see the data standard.
Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("irw")
library(irw)
df <- irw_fetch("karajko2025_ai_benefit")
# Python
pip install irw
import irw
df = irw.fetch("karajko2025_ai_benefit")
Or in Stata, which reads the same no-account CSV as the button above:
* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")
irw_fetch karajko2025_ai_benefit, clear
@misc{https://doi.org/10.7910/dvn/ireejj,
doi = {10.7910/DVN/IREEJJ},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/IREEJJ},
author = {Karajko, Ajla and Slabić, Elma and Krivić, Senka},
keywords = {Social Sciences, AI Awareness, AI Trust, AI Attitude, AI Governance, Public Perception of AI, Bosnia and Herzegovina},
title = {Artificial Intelligence in Bosnia and Herzegovina: A Study on Awareness, Attitude, and Trust},
publisher = {Harvard Dataverse},
year = {2025}
}
| IRW version | v674 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v35.0 |
| Redivis dataset DOI | 10.57761/kpjk-f829 |
| Manifest pin for this IRW version | v35.0 |
| Metadata source | irw_meta v59.0 |