sun_2021_blockchain_loan_adoption
4,440 responses from 296 respondents to 15 items.
About this table
| Description | SME managers' perceptions of a blockchain-based loan system: perceived risk / reward sensitivity / perceived fairness / complexity / usage intention (5 constructs x 3 items 7-pt Likert Strongly disagree-Strongly agree) N=296 Chinese SMEs |
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| Reference | Sun W, Dedahanov AT, Shin HY, Li WP (2021) Using extended complexity theory to test SMEs' adoption of Blockchain-based loan system. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0245964 |
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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.0245964.s002 |
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Size and shape
| Responses | 4,440 |
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| Respondents | 296 |
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| Items | 15 |
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| Response categories | 7 |
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| Responses per respondent | 15 |
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| Responses per item | 296 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | Internet-based, 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 | Using Extended Complexity Theory to Test SMEs' Adoption of Blockchain-based Loan System questionnaire (Sun, Dedahanov, Shin & Li 2021) |
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| Mean words per item | 11 |
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| Mean characters per item | 73.733 |
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| Mean characters per response | 5.857 |
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| Flesch-Kincaid grade level | 8.511 |
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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("sun_2021_blockchain_loan_adoption")
# Python
pip install irw
import irw
df = irw.fetch("sun_2021_blockchain_loan_adoption")
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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