ni_2025_open_innovation
2,961 responses from 329 respondents to 9 items.
About this table
| Description | 9-item open innovation behavior scale (1-5 Likert), raw items, from a survey of Chinese SMEs (Lichtenthaler-based) |
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| Reference | Ni M, et al. (2025) Relationship network, knowledge transfer and open innovation behavior of SMEs from China. PLoS ONE. |
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| DOI | 10.1371/journal.pone.0326490 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0326490.s001 |
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Size and shape
| Responses | 2,961 |
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| Respondents | 329 |
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| Items | 9 |
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| Response categories | 5 |
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| Responses per respondent | 9 |
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| Responses per item | 329 |
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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) | chi |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Open Innovation Behavior of SMEs (9-item scale adapted from Lichtenthaler, 2009) |
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| Mean words per item | 18.111 |
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| Mean characters per item | 137.222 |
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| Mean characters per response | 2 |
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| Flesch-Kincaid grade level | 17.777 |
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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("ni_2025_open_innovation")
# Python
pip install irw
import irw
df = irw.fetch("ni_2025_open_innovation")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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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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