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Exploring the switching intention of patients to e-health consultations platforms: blending inertia with push–pull–mooring framework

Nikita Dogra (School of Hospitality and Tourism Management, University of Jammu, Jammu, India)
Shuchita Bakshi (School of Hospitality and Tourism Management, University of Jammu, Jammu, India)
Anil Gupta (School of Hospitality and Tourism Management, University of Jammu, Jammu, India)

Journal of Asia Business Studies

ISSN: 1558-7894

Article publication date: 28 January 2022

Issue publication date: 17 January 2023

1087

Abstract

Purpose

Technology has revolutionized the delivery of health-care services, with e-consultations becoming popular mode of service delivery, especially during the pandemic. Extant research has examined the adoption of e-health consultation services, with little attention paid to examine the switching behavior. This study aims to identify factors affecting patients’ intentions to switch from conventional mode i.e. visiting hospitals/clinics to e-health consultations.

Design/methodology/approach

To understand this we use the push–pull–mooring (PPM) framework and integrate variables from status quo bias framework to the model. A cross-section research design was used, which rendered 413 valid responses which were obtained from the patients visiting a traditional hospital setup. The data was analyzed using partial least square – structural equation modeling using SmartPLS 3.0.

Findings

Findings suggest that push effects (inconvenience and perceived risk), pull effects (opportunity for alternatives and ubiquitous care), mooring effects (trust) and inertia significantly influence patients’ switching intentions from visiting hospitals/clinics to e-health consultations. Further, habit and switching cost positively influence inertia.

Practical implications

This study shall enable online health-care service providers and practitioners to understand patients’ intentions to switch to online health platforms and accordingly develop related marketing strategies, services and policies to encourage them to switch to the new offerings.

Originality/value

The current study enriches the previous research on e-health services by applying and extending PPM framework as the base model and showing its efficiency in predicting individuals switching intentions in the context of emerging economies. This study bridges the gap by focusing on switching behavior in context of health services.

Keywords

Citation

Dogra, N., Bakshi, S. and Gupta, A. (2023), "Exploring the switching intention of patients to e-health consultations platforms: blending inertia with push–pull–mooring framework", Journal of Asia Business Studies, Vol. 17 No. 1, pp. 15-37. https://doi.org/10.1108/JABS-02-2021-0066

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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