Cited by 1,162Technology Adoption and User BehaviourInnovation Diffusion and ForecastingInformation Systems Theories and Implementation

The DOI matches its Crossref record; 43 of the 45 references it cites were found in a registry or an index.

A review of technology acceptance and adoption models and theories

Open access
Taherdoost, Hamed·2018·Procedia Manufacturing

Abstract

Recognition the needs and acceptance of individuals is the beginning stage of any businesses and this understanding would be helpful to find the way of future development, thus academicians are interested to realize the factors that drive users’ acceptance or rejection of technologies. A number of models and frameworks have been developed to explain user adoption of new technologies and these models introduce factors that can affect the user acceptance. In this paper, an overview of theories and models regarding user acceptance of technology has been provided. The existing review will emphasize literature that tries to show how developers and researchers presage the level of admission any information technology will attain.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.promfg.2018.03.137

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 45 references

Research works printed but not linked: 4

  1. Dillon, 1996, User Acceptance of Information Technology: Theories and Models. In: M. Williams (ed.) Annual Review of Information Science and Technology, Medford NJ: Information Today., 31, 3
  2. Taherdoost, 2011, Information Security and Ethics in Educational Context: Propose a Conceptual Framework to Examine Their Impact., International Journal of Computer Science and Information Security., 9, 134
  3. P.F. Wu, User Acceptance of Emergency Alert Technology: A Case Study, in Proceedings of the 6th International ISCRAM Conference 2009: Gothenburg, Sweden.
  4. I.M.Y. Woon, L.G. Pee, Behavioural factors affecting internet abuse in the workplace: An empirical investigation. in Proceedings of the Third Annual Workshop on HCI Research in MIS. 2004. Washington, D.C.

Cited by

Sorted by citations

Items 901–1,000 of 1,000

Metadata

Authors
Taherdoost, H.
Corresponding author
Taherdoost, Hamed
Venue
Procedia Manufacturing
Publisher
Elsevier BV
Published
2018
Volume
22
Pages
960-967
ISSN
2351-9789 (ISSN-L)
OpenAlex
W2796276470
Cited by
1,162
References
45
Citations by year
2026: 91 · 2025: 139 · 2024: 191 · 2023: 201 · 2022: 202 · 2021: 170 · 2020: 108 · 2019: 49 · 2018: 11
FWCI
119.74
Type
journal article
Language
en
Open access
Locations
  • Procedia Manufacturing (publishedVersion, cc-by-nc-nd)
  • SSRN Electronic Journal (submittedVersion)
  • HAL (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
Keywords
technology acceptance, technology adoption, technology adoption model, adoption theory

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 ›

Are you an author, or do you see a problem with this page? Request a review