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Cited by 1Web and Library ServicesLibrary Science and InformationLibrary Science and Administration

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Digital Transformation: Reshaping Access and Engagement

Meesad, Phayung, Mingkhwan, Anirach·2024·Studies in Big Data
DOI 10.1007/978-3-031-69216-1_4
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Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-031-69216-1_4

Cites

92 of 92 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

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?

Citations

Cites

Research works printed but not linked: 8

  1. van Arnhem, J.P., Elliott, C., Rose, M. (eds.): Augmented and virtual reality in libraries. Rowman & Littlefield (2018)
  2. Chang, F., Dean, J., Ghemawat, S., Hsieh, W.C., Wallach, D.A., Burrows, M., Chandra, T., Fikes, A., Gruber, R.E.: Bigtable: A distributed storage system for structured data. In: Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’06), pp. 205–218. USENIX Association (2006)
  3. Hahn, J.: The internet of things: Mobile technology and location services in libraries. Libr. Technol. Rep. 53(1), 1–28 (2017). https://doi.org/10.5860/ltr.53n1 · DOI
  4. Kimball, R.: Is the data warehouse dead? Inf. Manage. 25(4), 8–10 (2015)
  5. King, D.L.: Mobile technology in libraries. Libr. Technol. Rep. 57(2), 1–36 (2021). https://doi.org/10.5860/ltr.57n2 · DOI
  6. Sadalage, P.J., Fowler, M.: NoSQL distilled: A brief guide to the emerging world of polyglot persistence. Addison-Wesley (2013)
  7. Stella, A.: Library automation in university: A literature review. Predestinasi 13(2), 115–134 (2020). https://ojs.unm.ac.id/predistinasi/article/download/21934/11343
  8. Uzwyshyn, R.: Technology enhanced libraries 2023+: Building on and developing new models integrating new technology & learning spaces. Trends and Issues in Library Technology 2024(1), 19–21 (2023). https://repository.ifla.org/handle/123456789/3145

Cited by

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Metadata

Authors
Meesad, P., & Mingkhwan, A.
Affiliations
King Mongkut's University of Technology North Bangkok (TH)
Corresponding author
Meesad, Phayung
ORCID
Venue
Studies in Big Data
Publisher
Springer Nature Switzerland
Published
2024
Pages
101-135
ISSN
  • 2197-6503 (ISSN-L)
  • 2197-6511
DOI
10.1007/978-3-031-69216-1_4
OpenAlex
W4404149499
Cited by
1
References
92
Citations by year
2025: 1
FWCI
0.73
Type
book chapter
Language
en
Open access
closed
Licence
Locations
Studies in big data (publishedVersion)
Topics
  • Social Sciences › Library and Information Sciences › Web and Library Services
  • Social Sciences › Library and Information Sciences › Library Science and Information
  • Social Sciences › Library and Information Sciences › Library Science and Administration
Keywords
digital transformation of libraries, library services, digital collections, library space, user expectations, operational efficiency, copyright and licensing, data privacy, digital divide, digital literacy, lifelong learning, community participation, artificial intelligence in libraries, big data, online information sources

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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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.