Item Response Warehouse / Tables / li_2025_marketing_operationli_2025_marketing_operation
1,760 responses from 352 respondents to 5 items.
About this table
Description Marketing operation scale (5 items 7-pt Likert) rated by managers/employees at Chinese time-honored (heritage) enterprises Reference Li X, et al (2025) Breaking the deadlock: A study on the pathway and effects of reshaping the sustainable marketing capability of Chinese time-honored brands. PLoS ONE 20(6): e0326329 DOI 10.1371/journal.pone.0326329 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0326329
Size and shape
Responses 1,760 Respondents 352 Items 5 Response categories 5 Responses per respondent 5 Responses per item 352 Density 1 Longitudinal FALSE
Classification
sample Workplace measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Marketing Operations (MO) scale, Li et al. (2025) sustainable marketing capability questionnaire Mean words per item 13 Mean characters per item 93.400 Mean characters per response 13 Flesch-Kincaid grade level 13.873
Columns
cov_firm_size cov_firm_type cov_gender cov_industry cov_location cov_position id item resp
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("li_2025_marketing_operation")
# Python
pip install irw
import irw
df = irw.fetch("li_2025_marketing_operation")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.