2021
DOI: 10.1371/journal.pone.0245964
|View full text |Cite
|
Sign up to set email alerts
|

Using extended complexity theory to test SMEs’ adoption of Blockchain-based loan system

Abstract: Blockchain-based loan system can be summed up as: information exchange between various government departments; information exchange between enterprises and various financial institutions; detection of the actual use of loans in the form of encrypted currency. This technology is supposed to reduce a lot of financing costs for SMEs on average. Therefore, this research extends complexity theory to discover the factors that affect the use of Blockchain loan systems by SMEs. Complexity, perceived risk, perceived fa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
20
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8
1
1

Relationship

3
7

Authors

Journals

citations
Cited by 35 publications
(20 citation statements)
references
References 63 publications
(62 reference statements)
0
20
0
Order By: Relevance
“…Li and Ku 25 use PPM theory to explain factors affecting e-commerce to social commerce switching. Sun et al 26 apply PPM to test SMEs’ adoption of block-chain-based loan systems. PPM is a useful supplement to other theories, such as UTAUT, because pulling variables can explain factors that encourage users to adopt DCEP, pushing variables could explain the factors that hinder users' enthusiasm for using DCEP, and mooring variables may explain the factors that moderate these pulling and pushing effects.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Li and Ku 25 use PPM theory to explain factors affecting e-commerce to social commerce switching. Sun et al 26 apply PPM to test SMEs’ adoption of block-chain-based loan systems. PPM is a useful supplement to other theories, such as UTAUT, because pulling variables can explain factors that encourage users to adopt DCEP, pushing variables could explain the factors that hinder users' enthusiasm for using DCEP, and mooring variables may explain the factors that moderate these pulling and pushing effects.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The step proves the validity of the model (Sun, Dedahanov, Shin, & Kim, 2020). Therefore, all relevant tests have proved the reliability and effectiveness of the model for structural model evaluation (Sun, Dedahanov, Shin, & Li, 2021). 4 indicates that all of the four hypotheses are supported.…”
Section: Research Design and Analysismentioning
confidence: 84%
“…trust, regulatory support, social impact and token design experience) into the technology adoption theoretical framework based on the blockchain’s technical characteristics. By combining the complexity theory and traditional technology adoption theories, Sun et al (2021) further explored how technical complexity and task complexity affect MSMEs’ willingness to adopt blockchain-based loan systems.…”
Section: Further Analysis Based On the Content Of The Literaturementioning
confidence: 99%