IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v12y2019i3d10.1007_s12063-019-00143-x.html
   My bibliography  Save this article

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

Author

Listed:
  • Puneeta Ajmera

    (Amity University Haryana)

  • Vineet Jain

    (Mewat Engineering College)

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.

Suggested Citation

  • Puneeta Ajmera & Vineet Jain, 2019. "Modelling the barriers of Health 4.0–the fourth healthcare industrial revolution in India by TISM," Operations Management Research, Springer, vol. 12(3), pages 129-145, December.
    • Handle: RePEc:spr:opmare:v:12:y:2019:i:3:d:10.1007_s12063-019-00143-x
    DOI: 10.1007/s12063-019-00143-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-019-00143-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-019-00143-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    2. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    3. Jan Holmström & Matthias Holweg & Siavash H. Khajavi & Jouni Partanen, 2016. "The direct digital manufacturing (r)evolution: definition of a research agenda," Operations Management Research, Springer, vol. 9(1), pages 1-10, June.
    4. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    5. Jain, Vineet & Raj, Tilak, 2016. "Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 84-96.
    6. von Tunzelmann, Nick, 2003. "Historical coevolution of governance and technology in the industrial revolutions," Structural Change and Economic Dynamics, Elsevier, vol. 14(4), pages 365-384, December.
    7. Qing Cao & Dara G. Schniederjans & Marc Schniederjans, 2017. "Establishing the use of cloud computing in supply chain management," Operations Management Research, Springer, vol. 10(1), pages 47-63, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ciasullo, Maria Vincenza & Orciuoli, Francesco & Douglas, Alexander & Palumbo, Rocco, 2022. "Putting Health 4.0 at the service of Society 5.0: Exploratory insights from a pilot study," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    2. Karine Borges de Oliveira & Otávio José de Oliveira, 2022. "Making Hospitals Sustainable: Towards Greener, Fairer and More Prosperous Services," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    3. Kamalakanta Muduli & Simonov Kusi-Sarpong & Devendra K. Yadav & Himanshu Gupta & Charbel Jose Chiappetta Jabbour, 2021. "An original assessment of the influence of soft dimensions on implementation of sustainability practices: implications for the thermal energy sector in fast growing economies," Operations Management Research, Springer, vol. 14(3), pages 337-358, December.
    4. Sudatta Kar & Arpan Kumar Kar & Manmohan Prasad Gupta, 2021. "Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 217-238, October.
    5. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    2. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    3. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    5. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    6. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    7. repec:hal:spmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    8. Naude, Wim & Nagler, Paula, 2015. "Industrialisation, Innovation, Inclusion," MERIT Working Papers 2015-043, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Cheng, Can & Luo, Jiayu & Zhu, Chun & Zhang, Shangfeng, 2024. "Artificial intelligence and the skill premium: A numerical analysis of theoretical models," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    10. Filippo Pusterla & Ursula Renold, 2022. "Does ICT affect the demand for vocationally educated workers?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-22, December.
    11. Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
    12. Naude, Wim, 2019. "The race against the robots and the fallacy of the giant cheesecake: Immediate and imagined impacts of artificial intelligence," MERIT Working Papers 2019-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Graetz, Georg & Feng, Andy, 2014. "Rise of the Machines: The Effects of Labor-Saving Innovations on Jobs and Wages," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100401, Verein für Socialpolitik / German Economic Association.
    14. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    15. Georg Graetz, 2019. "Labor Demand in the Past, Present, and Future," European Economy - Discussion Papers 114, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Ghimire, Ramesh & Skinner, Jim & Carnathan, Mike, 2020. "Who perceived automation as a threat to their jobs in metro Atlanta: Results from the 2019 Metro Atlanta Speaks survey," Technology in Society, Elsevier, vol. 63(C).
    17. Kostøl, Fredrik B. & Svarstad, Elin, 2023. "Trade Unions and the Process of Technological Change," Labour Economics, Elsevier, vol. 84(C).
    18. André Cieplinski, 2017. "Employee Control, Work Content and Wages," Department of Economics University of Siena 775, Department of Economics, University of Siena.
    19. Genz Sabrina & Janser Markus & Lehmer Florian, 2019. "The Impact of Investments in New Digital Technologies on Wages – Worker-Level Evidence from Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(3), pages 483-521, June.
    20. Philippe Aghion & Céline Antonin & Simon Bunel, 2019. "Artificial Intelligence, Growth and Employment: The Role of Policy," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 510-511-5, pages 149-164.
    21. repec:spo:wpmain:info:hdl:2441/7n49nkmngd8448a5ts5gt5ade0 is not listed on IDEAS
    22. Antonios Garas & Sophie Guthmuller & Athanasios Lapatinas, 2021. "The development of nations conditions the disease space," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-35, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:12:y:2019:i:3:d:10.1007_s12063-019-00143-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.