CoChat
Sign Up
Cited by 53Big Data and Business IntelligenceBig Data Technologies and ApplicationsAI and HR Technologies

Influencing models and determinants in big data analytics research: A bibliometric analysis

Aboelmaged, Mohamed, Mouakket, Samar·2020·Information Processing & Management
DOI 10.1016/j.ipm.2020.102234
Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.ipm.2020.102234

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • In the context of AI adoption, absorptive capacity is manifested through a strong path dependency on existing infrastructure developed through previous e-government innovations, collaborations between organisations, and a network of external technical specialists.

    “In the context of AI adoption, absorptive capacity is manifested through a strong path dependency on existing infrastructure developed through previous e-government innovations, collaborations between organisations, and a network of external technical specialists”

    From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as Aboelmaged & Mouakket, 2020

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Aboelmaged, M., & Mouakket, S.
Affiliations
University of Sharjah (AE)
Corresponding author
Aboelmaged, Mohamed
ORCID
Venue
Information Processing & Management
Publisher
Elsevier BV
Published
2020-07
Volume
57
Issue
4
Pages
102234
ISSN
  • 0020-0271 (ISSN-L)
  • 0306-4573
DOI
10.1016/j.ipm.2020.102234
OpenAlex
W3016253719
Cited by
53
References
19
Citations by year
2026: 3 · 2025: 4 · 2024: 7 · 2023: 12 · 2022: 9 · 2021: 15 · 2020: 3
FWCI
11.08
Type
journal article
Language
en
Open access
closed
Licence
Locations
Information Processing & Management (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
Keywords
big data analytics adoption, technology adoption framework, dynamic capabilities, resource-based view, technology acceptance model, diffusion of innovations, firm-level analysis, organizational culture, research trends

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