IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04292614.html
   My bibliography  Save this paper

Artificial Intelligence (AI)-Enabled CRM Capability in Healthcare: The Impact on Service Innovation

Author

Listed:
  • P. Kumar

    (L2C - Laboratoire Charles Coulomb - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier)

  • S.K. Sharma

    (HIGP - Hawaii Institute of Geophysics and Planetology - UHM - University of Hawai‘i [Mānoa])

  • Vincent Dutot

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

Abstract

Although AI-enabled customer relationship management (CRM) systems have gained momentum in healthcare to enhance performance, there is a striking dearth of knowledge on how such capabilities are formed and affect service innovation. The study adopted a mixed-method approach to investigate the underlying phenomena. This research infused resource-based theory, dynamic capability theory, and theory of productivity paradox to investigate how healthcare in India acquires AI-enabled CRM capabilities and enhances service innovation. We identified the facets of AI-enabled CRM capabilities using a case study and developed a framework for AI-enabled CRM capability and service innovation. This study noticed that customer service flexibility (CSF) is a missing link in this relationship. The findings of the quantitative study employing PLS-SEM reveal the linear relationships between AI-enabled CRM capability, CSF, and service innovation. This study explains the formation of AI-enabled CRM capabilities to fill the research gap and direct innovative performance in healthcare, which is an immediate need to sustain in a volatile environment. This study provides theoretical implications to enhance the research stream and practical implications for decision-makers. \textcopyright 2022 Elsevier Ltd

Suggested Citation

  • P. Kumar & S.K. Sharma & Vincent Dutot, 2023. "Artificial Intelligence (AI)-Enabled CRM Capability in Healthcare: The Impact on Service Innovation," Post-Print hal-04292614, HAL.
    • Handle: RePEc:hal:journl:hal-04292614
    DOI: 10.1016/j.ijinfomgt.2022.102598
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Nitin Upadhyay & Aakash Kamble, 2024. "Why can’t we help but love mobile banking chatbots? Perspective of stimulus-organism-response," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 855-872, September.
    2. Zhou, Shuai & Yi, Ni & Rasiah, Rajah & Zhao, Haipeng & Mo, Zile, 2024. "An empirical study on the dark side of service employees’ AI awareness: Behavioral responses, emotional mechanisms, and mitigating factors," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    3. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(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:hal:journl:hal-04292614. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.