IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i6d10.1007_s10796-021-10174-0.html
   My bibliography  Save this article

Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain

Author

Listed:
  • Shivam Gupta

    (NEOMA Business School)

  • Shampy Kamboj

    (National Institute of Technology Hamirpur)

  • Surajit Bag

    (International University of Rabat)

Abstract

The use of artificial intelligence (AI) in the healthcare field is gaining popularity. However, it also raises some concerns related to privacy and ethical aspects that require the development of a responsible AI framework. The principle of responsible AI states that artificial intelligence-based systems should be considered a part of composite societal and technological systems. This study attempts to establish whether AI risks in digital healthcare are positively associated with responsible AI. The moderating effect of perceived trust and perceived privacy risks is also examined. The theoretical model was based on perceived risk theory. Perceived risk theory is important in the context of this study, as risks related to uneasiness and uncertainty can be expected in the development of responsible AI due to the volatile nature of intelligent applications. Our research provides some interesting findings which are presented in the discussion section.

Suggested Citation

  • Shivam Gupta & Shampy Kamboj & Surajit Bag, 2023. "Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain," Information Systems Frontiers, Springer, vol. 25(6), pages 2257-2274, December.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:6:d:10.1007_s10796-021-10174-0
    DOI: 10.1007/s10796-021-10174-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-021-10174-0
    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/s10796-021-10174-0?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. Shiwei He & Rui Song & Sohail S. Chaudhry, 2014. "Service-oriented intelligent group decision support system: Application in transportation management," Information Systems Frontiers, Springer, vol. 16(5), pages 939-951, November.
    2. Urvashi Tandon & Ravi Kiran & Ash N. Sah, 2016. "Understanding Online Shopping Adoption in India: Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) With Perceived Risk Application," Service Science, INFORMS, vol. 8(4), pages 420-437, December.
    3. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    4. Nepomuceno, Marcelo Vinhal & Laroche, Michel & Richard, Marie-Odile, 2014. "How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 619-629.
    5. Shih-Chia Huang & Suzanne McIntosh & Stanislav Sobolevsky & Patrick C. K. Hung, 2017. "Big Data Analytics and Business Intelligence in Industry," Information Systems Frontiers, Springer, vol. 19(6), pages 1229-1232, December.
    6. Prasanta Kr. Chopdar & V. J. Sivakumar, 2019. "Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(1), pages 42-64, January.
    7. Kutoma J. Wakunuma & Bernd Carsten Stahl, 2014. "Tomorrow’s ethics and today’s response: An investigation into the ways information systems professionals perceive and address emerging ethical issues," Information Systems Frontiers, Springer, vol. 16(3), pages 383-397, July.
    8. Bernd W. Wirtz & Jan C. Weyerer & Carolin Geyer, 2019. "Artificial Intelligence and the Public Sector—Applications and Challenges," International Journal of Public Administration, Taylor & Francis Journals, vol. 42(7), pages 596-615, May.
    9. Kar, Arpan Kumar & Dwivedi, Yogesh K., 2020. "Theory building with big data-driven research – Moving away from the “What” towards the “Why”," International Journal of Information Management, Elsevier, vol. 54(C).
    10. Jonas Foehr & Claas Christian Germelmann, 2020. "Alexa, Can I Trust You? Exploring Consumer Paths to Trust in Smart Voice-Interaction Technologies," Journal of the Association for Consumer Research, University of Chicago Press, vol. 5(2), pages 181-205.
    11. Satyen Mukherjee, 2020. "Emerging Frontiers in Smart Environment and Healthcare – A Vision," Information Systems Frontiers, Springer, vol. 22(1), pages 23-27, February.
    12. Ram Ramesh & H. Raghav Rao, 2003. "Foreword: Featured Sections—Business Applications of Uncertain Reasoning and Informatics Support for Medical Research," Information Systems Frontiers, Springer, vol. 5(4), pages 339-339, December.
    13. Jelena Lukić & Miloš Radenković & Marijana Despotović-Zrakić & Aleksandra Labus & Zorica Bogdanović, 2017. "Supply chain intelligence for electricity markets: A smart grid perspective," Information Systems Frontiers, Springer, vol. 19(1), pages 91-107, February.
    14. Dominik Eckstein & Matthias Goellner & Constantin Blome & Michael Henke, 2015. "The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity," International Journal of Production Research, Taylor & Francis Journals, vol. 53(10), pages 3028-3046, May.
    15. Wright, Scott A. & Schultz, Ainslie E., 2018. "The rising tide of artificial intelligence and business automation: Developing an ethical framework," Business Horizons, Elsevier, vol. 61(6), pages 823-832.
    16. Terje Aven & Ortwin Renn, 2009. "On risk defined as an event where the outcome is uncertain," Journal of Risk Research, Taylor & Francis Journals, vol. 12(1), pages 1-11, January.
    17. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    18. Federica Cena & Luca Console & Assunta Matassa & Ilaria Torre, 2019. "Multi-dimensional intelligence in smart physical objects," Information Systems Frontiers, Springer, vol. 21(2), pages 383-404, April.
    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. Uthayasankar Sivarajah & Yichuan Wang & Hossein Olya & Sherin Mathew, 2023. "Responsible Artificial Intelligence (AI) for Digital Health and Medical Analytics," Information Systems Frontiers, Springer, vol. 25(6), pages 2117-2122, December.
    2. Samuel Fosso Wamba & Maciel M. Queiroz & Ilias O. Pappas & Yulia Sullivan, 2024. "Artificial Intelligence Capability and Firm Performance: A Sustainable Development Perspective by the Mediating Role of Data-Driven Culture," Information Systems Frontiers, Springer, vol. 26(6), pages 2189-2203, December.

    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. Alrawad, Mahmaod & Lutfi, Abdalwali & Alyatama, Sundus & Al Khattab, Adel & Alsoboa, Sliman S. & Almaiah, Mohammed Amin & Ramadan, Mujtaba Hashim & Arafa, Hussin Mostafa & Ahmed, Nazar Ali & Alsyouf, , 2023. "Assessing customers perception of online shopping risks: A structural equation modeling–based multigroup analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    2. Rosillo-Díaz, Elena & Muñoz-Rosas, Juan Francisco & Blanco-Encomienda, Francisco Javier, 2024. "Impact of heuristic–systematic cues on the purchase intention of the electronic commerce consumer through the perception of product quality," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    3. Laxmi Gupta & Ravi Shankar, 2022. "Adoption of Battery Management System in Utility Grid: An Empirical Study Using Structural Equation Modeling," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 573-596, December.
    4. Richard, James E. & Purnell, Fruen, 2017. "Rethinking Catalogue and Online B2B Buyer Channel Preferences in the Education Supplies Market," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 1-15.
    5. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    6. Ying Guo, 2023. "External Knowledge Acquisition and Green Innovation in Chinese Firms: Unveiling the Impact of Green Dynamic Capabilities," SAGE Open, , vol. 13(3), pages 21582440231, July.
    7. Xu, Xun & Jackson, Jonathan E., 2019. "Examining customer channel selection intention in the omni-channel retail environment," International Journal of Production Economics, Elsevier, vol. 208(C), pages 434-445.
    8. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Tiwari, Manisha & Bryde, David J. & Stavropoulou, Foteini & Dubey, Rameshwar & Kumari, Sushma & Foropon, Cyril, 2024. "Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    10. Wong, David T.W. & Ngai, Eric W.T., 2023. "The impact of advanced manufacturing technology, sensing and analytics capabilities, and planning comprehensiveness on sustained competitive advantage: The moderating role of environmental uncertainty," International Journal of Production Economics, Elsevier, vol. 265(C).
    11. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Thanos Papadopoulos & Zongwei Luo & David Roubaud, 2020. "Upstream supply chain visibility and complexity effect on focal company’s sustainable performance: Indian manufacturers’ perspective," Annals of Operations Research, Springer, vol. 290(1), pages 343-367, July.
    12. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    13. Erkan Bayraktar & Ekrem Tatoglu & Arafat Salih Aydiner & Dursun Delen, 2024. "Business Analytics Adoption and Technological Intensity: An Efficiency Analysis," Information Systems Frontiers, Springer, vol. 26(4), pages 1509-1526, August.
    14. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    15. Subhajit Bhattacharya & Vijeta Anand, 2021. "What Makes the Indian Youths to Engage with Online Retail Brands: An Empirical Study," Global Business Review, International Management Institute, vol. 22(6), pages 1507-1529, December.
    16. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    17. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    18. Jordan Gašper & Leskovar Robert & Marič Miha, 2018. "Impact of Fear of Identity Theft and Perceived Risk on Online Purchase Intention," Organizacija, Sciendo, vol. 51(2), pages 146-155, May.
    19. Martin R. W. Hiebl & David I. Pielsticker, 2023. "Automation, organizational ambidexterity and the stability of employee relations: new tensions arising between corporate entrepreneurship, innovation management and stakeholder management," The Journal of Technology Transfer, Springer, vol. 48(6), pages 1978-2006, December.
    20. Chatterjee, Sheshadri & Chaudhuri, Ranjan & González, Vanessa Izquierdo & Kumar, Ajay & Singh, Sanjay Kumar, 2022. "Resource integration and dynamic capability of frontline employee during COVID-19 pandemic: From value creation and engineering management perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

    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:infosf:v:25:y:2023:i:6:d:10.1007_s10796-021-10174-0. 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.