2,000 responses from 500 respondents to 4 items.
One of 7 tables from the same source; this one measures Environmental performance. The others are listed under Related tables.
| Description | SME AI-capability questionnaire, EP block (environmental performance), 4 items, 1-6; N = 500 Indonesian SME respondents (one of seven blocks sharing ids). |
|---|---|
| Reference | Dharmawan, F., & Sumana, H. (2026). SME Research Questionnaire - AI Capability [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22146767 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/22146767 |
| Responses | 2,000 |
|---|---|
| Respondents | 500 |
| Items | 4 |
| Response categories | 6 |
| Responses per respondent | 4 |
| Responses per item | 500 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
| construct name | Environmental performance |
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 |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dharmawan_2026_ep")
# Python
pip install irw
import irw
df = irw.fetch("dharmawan_2026_ep")
@misc{https://doi.org/10.5281/zenodo.22146767,
doi = {10.5281/ZENODO.22146767},
url = {https://zenodo.org/doi/10.5281/zenodo.22146767},
author = {Dharmawan, Farhan and Sumana, Hatim},
title = {SME Research Questionnaire - AI Capability},
publisher = {Zenodo},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |