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Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry

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  • Gupta, Shivam
  • Modgil, Sachin
  • Bhatt, Priyanka C.
  • Chiappetta Jabbour, Charbel Jose
  • Kamble, Sachin

Abstract

Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, insurance agents, healthcare providers and medicine supplier etc., a classical computing approach is not enough. Therefore, this study aims to identify the role of quantum computing in disrupting the healthcare sector with the lens of organizational information processing theory (OIPT), creating a more sustainable (less strained) healthcare system. A semi-structured interview approach is adopted to gauge the expectations of professionals from healthcare industry regarding quantum computing. A structured approach of coding, using open, axial and selective approach is adopted to map the themes under quantum computing for healthcare industry. The findings indicate the potential applications of quantum computing for pharmaceutical, hospital, health insurance organizations along with patients to have precise and quick solutions to the problems, where greater accuracy and speed can be achieved. Existing research focuses on the technological background of quantum computing, whereas this study makes an effort to mark the beginning of quantum computing research with respect to organizational management theory.

Suggested Citation

  • Gupta, Shivam & Modgil, Sachin & Bhatt, Priyanka C. & Chiappetta Jabbour, Charbel Jose & Kamble, Sachin, 2023. "Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry," Technovation, Elsevier, vol. 120(C).
  • Handle: RePEc:eee:techno:v:120:y:2023:i:c:s0166497222000918
    DOI: 10.1016/j.technovation.2022.102544
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    as
    1. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    2. Frank Arute & Kunal Arya & Ryan Babbush & Dave Bacon & Joseph C. Bardin & Rami Barends & Rupak Biswas & Sergio Boixo & Fernando G. S. L. Brandao & David A. Buell & Brian Burkett & Yu Chen & Zijun Chen, 2019. "Quantum supremacy using a programmable superconducting processor," Nature, Nature, vol. 574(7779), pages 505-510, October.
    3. Neetu Singh & Upkar Varshney, 2020. "IT-based reminders for medication adherence: systematic review, taxonomy, framework and research directions," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(1), pages 84-108, January.
    4. M. M. Malik & S. Abdallah & M. Ala’raj, 2018. "Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review," Annals of Operations Research, Springer, vol. 270(1), pages 287-312, November.
    5. Winkler, Jens & Kuklinski, Christian Paul Jian-Wei & Moser, Roger, 2015. "Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality," Journal of Business Research, Elsevier, vol. 68(5), pages 1118-1126.
    6. Sestino, Andrea & Prete, Maria Irene & Piper, Luigi & Guido, Gianluigi, 2020. "Internet of Things and Big Data as enablers for business digitalization strategies," Technovation, Elsevier, vol. 98(C).
    7. Mohan V. Tatikonda & Mitzi M. Montoya-Weiss, 2001. "Integrating Operations and Marketing Perspectives of Product Innovation: The Influence of Organizational Process Factors and Capabilities on Development Performance," Management Science, INFORMS, vol. 47(1), pages 151-172, January.
    8. Adamuthe, Amol C. & Thampi, Gopakumaran T., 2019. "Technology forecasting: A case study of computational technologies," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 181-189.
    9. Elizabeth Gibney, 2019. "Hello quantum world! Google publishes landmark quantum supremacy claim," Nature, Nature, vol. 574(7779), pages 461-462, October.
    10. Jie Mein Goh & Alvaro E. Arenas, 2020. "IT value creation in public sector: how IT-enabled capabilities mitigate tradeoffs in public organisations," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(1), pages 25-43, January.
    11. Montes, Gabriel Axel & Goertzel, Ben, 2019. "Distributed, decentralized, and democratized artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 354-358.
    12. Kull, Thomas & Closs, David, 2008. "The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1158-1174, May.
    13. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
    14. Stephanie, Lena & Sharma, Ravi S., 2020. "Digital health eco-systems: An epochal review of practice-oriented research," International Journal of Information Management, Elsevier, vol. 53(C).
    15. Frederik Dahlmann & Jens K. Roehrich, 2019. "Sustainable supply chain management and partner engagement to manage climate change information," Business Strategy and the Environment, Wiley Blackwell, vol. 28(8), pages 1632-1647, December.
    16. Vasiliki Mantzana & Marinos Themistocleous & Zahir Irani & Vincenzo Morabito, 2007. "Identifying healthcare actors involved in the adoption of information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(1), pages 91-102, February.
    17. Martínez-Román, Juan A. & Gamero, Javier & Tamayo, Juan A. & Delgado-González, Loreto, 2020. "Empirical analysis of organizational archetypes based on generation and adoption of knowledge and technologies," Technovation, Elsevier, vol. 96.
    18. Albert Boonstra & U. Yeliz Eseryel & Marjolein A. G. van Offenbeek & Frantz Rowe & Régis Meissonier, 2018. "Stakeholders’ enactment of competing logics in IT governance: polarization, compromise or synthesis?," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(4), pages 415-433, July.
    19. Vinod, Dasari Naga & Prabaharan, S.R.S., 2020. "Data science and the role of Artificial Intelligence in achieving the fast diagnosis of Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    20. Ana Beatriz Lopes de Sousa Jabbour & Charbel Jose Chiappetta Jabbour & Moacir Godinho Filho & David Roubaud, 2018. "Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations," Annals of Operations Research, Springer, vol. 270(1), pages 273-286, November.
    21. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    22. Rajabion, Lila & Shaltooki, Abdusalam Abdulla & Taghikhah, Masoud & Ghasemi, Amirhossein & Badfar, Arshad, 2019. "Healthcare big data processing mechanisms: The role of cloud computing," International Journal of Information Management, Elsevier, vol. 49(C), pages 271-289.
    23. Rippa, Pierluigi & Secundo, Giustina, 2019. "Digital academic entrepreneurship: The potential of digital technologies on academic entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 900-911.
    24. Cuijpers, Maarten & Guenter, Hannes & Hussinger, Katrin, 2011. "Costs and benefits of inter-departmental innovation collaboration," Research Policy, Elsevier, vol. 40(4), pages 565-575, May.
    25. Miloslava Plachkinova & Au Vo & Brian Hilton & Rahul Bhaskar, 2018. "Response to Delamater’s Comment on “A Conceptual Framework for Quality Healthcare Accessibility: A Scalable Approach for Big Data Technologies”," Information Systems Frontiers, Springer, vol. 20(2), pages 311-314, April.
    26. Woodson, Thomas & Alcantara, Julia Torres & do Nascimento, Milena Silva, 2019. "Is 3D printing an inclusive innovation?: An examination of 3D printing in Brazil," Technovation, Elsevier, vol. 80, pages 54-62.
    27. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
    28. Urbinati, Andrea & Bogers, Marcel & Chiesa, Vittorio & Frattini, Federico, 2019. "Creating and capturing value from Big Data: A multiple-case study analysis of provider companies," Technovation, Elsevier, vol. 84, pages 21-36.
    29. Y. Nakamura & Yu. A. Pashkin & J. S. Tsai, 1999. "Coherent control of macroscopic quantum states in a single-Cooper-pair box," Nature, Nature, vol. 398(6730), pages 786-788, April.
    30. Miloslava Plachkinova & Au Vo & Rahul Bhaskar & Brian Hilton, 2018. "A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies," Information Systems Frontiers, Springer, vol. 20(2), pages 289-302, April.
    31. Thune, Taran & Mina, Andrea, 2016. "Hospitals as innovators in the health-care system: A literature review and research agenda," Research Policy, Elsevier, vol. 45(8), pages 1545-1557.
    32. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    33. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
    34. Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
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