What drives consumers to adopt a sharing platform: An integrated model of value-based and transaction cost theories
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Perceived value is commonly acknowledged as a robust predictor of technology acceptance.
“In the field of information system research, perceived value is commonly acknowledged as a robust predictor of technology acceptance [17,28,31,32,53,54].”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [32]
The citation lists haven’t been fetched yet
References 94 · Cited by 83
- Authors
- Liang, T.-P., Lin, Y.-L., & Hou, H.-C.
- Affiliations
- National Sun Yat-sen University (TW)
- National Chengchi University (TW)
- ORCID
- Liang, Ting-Peng
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 58
- Issue
- 4
- Pages
- 103471
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W3155892397
- Cited by
- 83
- References
- 94
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 23 · 2023: 14 · 2022: 15 · 2021: 3
- FWCI
- 12.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Information & Management (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (107-2410-H-004 -098 -MY3, TaiwanMOST 107-2410-H-004 -098 -MY3)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Sharing Economy and Platforms
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
- Keywords
- sharing economy, sharing platforms, consumer adoption, transaction cost economics, perceived value, perceived benefits, intention to use, location effects
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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