Cited by 909Digital Transformation in IndustrySustainable Supply Chain ManagementImpact of AI and Big Data on Business and Society

Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies

Open access
Luthra, Sunil, Mangla, Sachin Kumar·2018·Process Safety and Environmental Protection

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.psep.2018.04.018

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

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?

  • Data security and liability risks are heightened within a highly interoperable ecosystem where one compromised node could impact many others.

    “Data security and liability risks are heightened within a highly interoperable ecosystem where one compromised node could impact many others (Allam and Dhunny 2019;Luthra and Mangla 2018), with the effects of security breaches especially damaging in these complex and interdependent systems involving multiple stakeholders.”

Self-check

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

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

Cites

Flagged first, then by citations

16 of the 92 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Kersten, W. et al. (Eds.) Digitalization in Supply Chain Management and Logistics, October 2017, Epubli, pp. 301-318. ISBN: 9783745043280.
  2. Nunnally, J. (1978). Psychometric methods. McGraw Hill, New York.
  3. Schröder, C. (2016). The challenges of industry 4.0 for small and medium-sized enterprises. A PROJECT BY THE FRIEDRICH-EBERT-STIFTUNG2015-2017. Online available at: https://www.researchgate.net/profile/ Christian_Schroeder10/publication/305789672_The_Challenges_of_Industry_40_for_Small_and_Medium- sized_Enterprises/links/57a1dfe808ae5f8b258a5e69.pdf (last accessed: September 11, 2017).

Cited by

Sorted by citations

Authors
Luthra, S., & Mangla, S. K.
Affiliations
University of Plymouth (GB)
Corresponding author
Luthra, Sunil
Venue
Process Safety and Environmental Protection
Publisher
Elsevier BV
Published
2018-07
Volume
117
Pages
168-179
ISSN
  • 0263-8762 (ISSN-L)
  • 0957-5820
OpenAlex
W2801978012
Cited by
909
References
92
Citations by year
2026: 59 · 2025: 98 · 2024: 146 · 2023: 135 · 2022: 164 · 2021: 149 · 2020: 105 · 2019: 43 · 2018: 9
FWCI
63.38
Type
journal article
Language
en
Open access
Locations
  • Process Safety and Environmental Protection (publishedVersion)
  • PEARL (University of Plymouth) (submittedVersion, cc-by-nc-sa)
  • PEARL (University of Plymouth) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
Industry 4.0, supply chain sustainability, emerging markets, Indian manufacturing, organizational challenges, technical challenges, strategic challenges, legal and ethical issues, process safety, environmental protection

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