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Operations Management Research
Erschienen in: Operations Management Research 3-4/2019

09.08.2019

Modelling the barriers of Health 4.0–the fourth healthcare industrial revolution in India by TISM

verfasst von: Puneeta Ajmera, Vineet Jain

Erschienen in: Operations Management Research | Ausgabe 3-4/2019

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Abstract

In healthcare industry, the phenomenon of Industry 4.0 is popular as Health 4.0 where the modern technologies are integrated with available data along with the use of artificial intelligence. The main objective of this paper is to explore the barriers of Health 4.0 application in healthcare sector in India. Fifteen barriers which can affect the adoption of Health 4.0 in the Indian healthcare sector have been identified through extensive literature review and opinions of healthcare industry and academic experts. A TISM (Total Interpretive Structural Modelling) model has been developed to extract the key barriers influencing Health 4.0 adoption which will guide the healthcare managers and decision makers to explore the effect of each barrier on other barriers as well as the degree of relationships among them. The result shows that lack of top management support, exclusive and skilled workforce requirement, inadequate maintenance support systems and political support are the major barriers as they have strong driving power. Timely action taken by the management to remove these hurdles will not only reduce the cost of medical procedures but also improve the quality of treatment so that the true potential of Health 4.0 can be utilized.
Vorheriger Artikel Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view
Nächster Artikel The role of supplier collaboration and risk management capabilities in managing product complexity

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Metadaten
Titel
Modelling the barriers of Health 4.0–the fourth healthcare industrial revolution in India by TISM
verfasst von
Puneeta Ajmera
Vineet Jain
Publikationsdatum
09.08.2019
Verlag
Springer US
Erschienen in
Operations Management Research / Ausgabe 3-4/2019
Print ISSN: 1936-9735
Elektronische ISSN: 1936-9743
DOI
https://doi.org/10.1007/s12063-019-00143-x

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