2,100 responses from 210 respondents to 10 items.
One of 5 tables from the same source; this one measures Innovative work behavior. The others are listed under Related tables.
| Description | Innovative work behavior (IWB1-IWB10), 1-5; N = 210 Indonesian employees who use AI at work (2026 online survey); cov_age, cov_gender, cov_education, cov_industry, cov_position, cov_ai_use_frequency. |
|---|---|
| Reference | Fauziah, H. M., Ekowati, C. R., Nurani, A., & Setiawati, R. (2026). Fostering Innovative Work Behavior through Human-AI Collaboration Capability: The Roles of Humble Leadership, Psychological Safety, and Intrinsic Motivation among Indonesian Employees [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21963745 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/21963745 |
| Responses | 2,100 |
|---|---|
| Respondents | 210 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 210 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
| construct name | Innovative work behavior |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Innovative work behavior scale (Part E), 10 items |
|---|---|
| Mean words per item | 10.600 |
| Mean characters per item | 60.900 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 8.359 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fauziah_2026_human_ai.py. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Berapakah usia anda saat ini? |
cov_ai_use_frequency | Covariate | made in the build script |
cov_education | Covariate | Pendidikan Terakhir |
cov_gender | Covariate | Jenis Kelamin |
cov_industry | Covariate | Industri |
cov_position | Covariate | Posisi Saat Ini |
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("fauziah_2026_iwb")
# Python
pip install irw
import irw
df = irw.fetch("fauziah_2026_iwb")
@misc{https://doi.org/10.5281/zenodo.21963745,
doi = {10.5281/ZENODO.21963745},
url = {https://zenodo.org/doi/10.5281/zenodo.21963745},
author = {Fauziah, Hanna Maulani and Ekowati, Carolina Retno and Nurani, Asih and Setiawati, Rini},
keywords = {Human-AI Collaboration Capability; Innovative Work Behavior; Intrinsic Motivation; Humble Leadership; Psychological Safety; Self-Determination Theory.},
language = {en},
title = {Fostering Innovative Work Behavior through Human-AI Collaboration Capability: The Roles of Humble Leadership, Psychological Safety, and Intrinsic Motivation among Indonesian Employees},
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 |