Evidence map›Paper›PMID 38034816›Full record

ArticleHeliyon2023

The acceleration of blockchain technology adoption in Taiwan.

Hang Lee

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Hang LeeNational Kaohsiung University of Science and Technology, 58, Shenzhong Road, Kaohsiung 824, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the factors influencing the intention to adopt blockchain technology and the alignment between respondents' work characteristics and blockchain technology. It addresses the lack of attention from previous literature on these factors in the context of blockchain adoption, especially amidst the recent blockchain hype. By integrating Task-Technology Fit (TTF) and a modified version of the Unified Theory of Acceptance and Use of Technology (UTAUT), this study employs a questionnaire survey. The results demonstrate that the alignment between blockchain and work characteristics significantly impacts performance expectations and the recognition of opportunities, thereby influencing the intention to adopt blockchain. Furthermore, factors such as effort expectancy, social influence, facilitating conditions, and perceived policy uncertainty influence adoption intention by identifying opportunities. Exposure to blockchain-related knowledge reinforces the relationships mentioned above. Additionally, digital natives display greater confidence in blockchain's potential to enhance work performance than digital immigrants. These study findings offer valuable insights and strategies for blockchain technology providers and provide a comprehensive survey for individuals and professionals interested in embracing or understanding the dynamics of blockchain adoption.

Indexed as

Adoption intentionBlockchainDigital nativesTask-technology fitUTAUT

Identifiers

PMID38034816
PMCPMC10682616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.