quinello_2026_ai_maturity_technology
728 responses from 104 respondents to 7 items.
About this table
| Description | AI technology adoption in facilities management (104 participants, 7 items, 0-6 scale) |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/32714616 |
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Size and shape
| Responses | 728 |
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| Respondents | 104 |
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| Items | 7 |
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| Response categories | 7 |
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| Responses per respondent | 7 |
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| Responses per item | 104 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Workplace |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | por |
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Columns
cov_company_sizecov_educationcov_experiencecov_origincov_positioncov_sectoriditemresp
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("quinello_2026_ai_maturity_technology")
# Python
pip install irw
import irw
df = irw.fetch("quinello_2026_ai_maturity_technology")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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