Evidence map›Paper›PMID 39532946›Full record

ArticleScientific reports2024

Leveraging Industry 4.0 for marketing strategies in the medical device industry of emerging economies.

Irfan Ahmed, Bo Feng, Kyei Emmanuel Yeboah, Junwen Feng, Muhammad Saleh Jumani, Syed Amjad Ali

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Irfan AhmedSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China.
Bo FengSchool of Intellectual property, Nanjing University of Science and Technology, Nanjing, 210094, China.
Kyei Emmanuel YeboahSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China.
Junwen FengSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China. fengjunwen8@mail.njust.edu.cn.
Muhammad Saleh JumaniMehran University of Engineering and Technology, Indus Hwy, Jamshoro, 76062, Sindh, Pakistan.
Syed Amjad AliMehran University of Engineering and Technology, Indus Hwy, Jamshoro, 76062, Sindh, Pakistan.

Funding

Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX22_0561
6 · The paper itself

Abstract

This research investigates the impact of the technologies through an integrated Fuzzy Analytic Hierarchy Process (F-AHP) and VIKOR model to determine their viability as a marketing strategy for business growth in the Prosthetics and Orthotics (P&O) medical device industry. Based on expert data, the study evaluates the integration of Industry 4.0 technologies and ranks them by priority for marketing performance: "Artificial Intelligence & Machine Learning" (0.3295), "Internet of Things" (0.4325), "Virtual Reality & Augmented Reality" (0.5000), and "Big Data" (0.5704). The findings confirm that the proposed model effectively Leverage the industry 4.0 technologies to enhance marketing strategies, using Pakistan as a case study. This research serves as a blueprint for addressing the integration of next-generation marketing tools, technological advancements, and business growth challenges in the P&O industry. It contributes to the growing body of knowledge on the role of technology in improving healthcare marketing and business performance in emerging markets. Future research should explore the broader impact of Industry 4.0 technologies on healthcare marketing, focusing on strategic decision-making, efficient marketing resource allocation, and performance measurement to ensure sustained success in the P&O medical device sector. The study concludes that prioritizing Industry 4.0 technologies, however, limitations such as sample size, data collection constraints, and model complexity may Leverage the generalizability of the results. Future research should address these limitations by expanding the scope of expert involvement and exploring the application of this model in other emerging economies, to further validate the findings and assess the broader implications for healthcare marketing strategies globally.

Indexed as

Equipment and SuppliesMarketingArtificial IntelligenceFuzzy LogicHumansIndustryInternet of ThingsMachine LearningPakistanInformation technology, industry 4.0Marketing strategies, F-AHP, VIKORMedical devicesPakistan

Identifiers

PMID39532946
PMCPMC11557867

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.