Evidence map›Paper›PMID 37319165›Full record

ReviewPloS one2023

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies.

Binoy Debnath, Md Shihab Shakur, A B M Mainul Bari, Joy Saha, Wazida Akter Porna, Mostarin Jahan Mishu, Abu Reza Md Towfiqul Islam, Muhommad Azizur Rahman

Abstract readReview
In one paragraph

Review in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trends analysis and future study of the pharmaceutical industry field: a scoping review.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Binoy DebnathDepartment of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.ORCID 0000-0001-9047-1428
Md Shihab ShakurDepartment of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.ORCID 0000-0001-8873-5877
A B M Mainul BariDepartment of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.ORCID 0000-0002-3075-4247
Joy SahaDepartment of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.
Wazida Akter PornaDepartment of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.ORCID 0009-0006-3251-9730
Mostarin Jahan MishuDepartment of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.
Abu Reza Md Towfiqul IslamDepartment of Disaster Management, Begum Rokeya University, Rangpur, Bangladesh.ORCID 0000-0001-5779-1382
Muhommad Azizur RahmanDepartment of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.ORCID 0000-0002-4299-3085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging technologies of Industry 4.0 (I4.0) are crucial to incorporating agility, sustainability, smartness, and competitiveness in the business model, enabling long-term sustainability practices in the pharmaceutical supply chain (PSC). By leveraging the latest technologies of I4.0, pharmaceutical companies can gain real-time visibility into their supply chain (SC) operations, allowing them to make data-driven decisions that improve SC performance, efficiency, resilience, and sustainability. However, to date, no research has examined the critical success factors (CSFs) that enable the pharmaceutical industry to adopt I4.0 successfully to enhance overall SC sustainability. This study, therefore, analyzed the potential CSFs for adopting I4.0 to increase all facets of sustainability in the PSC, especially from the perspective of an emerging economy like Bangladesh. Initially, sixteen CSFs were identified through a comprehensive literature review and expert validation. Later, the finalized CSFs were clustered into three relevant groups and analyzed using a Bayesian best-worst method (BWM)-based multi-criteria decision-making (MCDM) framework. The study findings revealed that "sufficient investment for technological advancement", "digitalized product monitoring and traceability", and "dedicated and robust research and development (R&D) team" are the top three CSFs to adopt I4.0 in the PSC. The study's findings can aid industrial practitioners, managers, and policymakers in creating effective action plans for efficiently adopting I4.0 in PSC to avail of its competitive benefits and ensure a sustainable future for the pharmaceutical industry.

Indexed as

CommerceDrug IndustryBayes TheoremInvestmentsPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID37319165
PMCPMC10270361

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.