ni_2025_relationship_network

2,632 responses from 329 respondents to 8 items.

About this table

Description8-item relationship-network scale (1-5 Likert), raw items, from a survey of Chinese SMEs (West & Bogers-based)
ReferenceNi M, et al. (2025) Relationship network, knowledge transfer and open innovation behavior of SMEs from China. PLoS ONE.
DOI10.1371/journal.pone.0326490
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0326490.s001

Size and shape

Responses2,632
Respondents329
Items8
Response categories5
Responses per respondent8
Responses per item329
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ni_2025_relationship_network")
# Python
pip install irw

import irw
df = irw.fetch("ni_2025_relationship_network")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0