Artikel

Determinants of intention to continue usage of online shopping under a pandemic: COVID-19

Although numerous reports predict huge growth potential for online shopping under COVID-19 pandemic, many do not know about determinants of user intention to continue using online shopping under such a pandemic. Given that how to motivate continuousness and retain consumers under a pandemic is critical to the online retailers and relevant stakeholders' success, research on the determinants of intention to continuance using online shopping has attracted widespread attentiveness. The determinants of intention to continue using online shopping under COVID-19 pandemic, especially in India, have not yet been researched. Therefore, this study proposes a model combining the expectation-confirmation model (ECM) with task-technology fit (TTF) model and the trust factor to examine intention to continue using online shopping under COVID-19. Based on data gathered from 222 online participants during the period of social distancing due to COVID-19, the findings revealed that perceived TTF is much significant factor; satisfaction, perceived usefulness, and trust have positive impacts on consumers' intention to continue usage of online shopping under COVID-19. Additionally, confirmation directly affects satisfaction, perceived usefulness, and indirectly affects consumers' intention to continuance usage. The study's findings provide online retailers and related stakeholders with significant managerial implications.

Language
Englisch

Bibliographic citation
Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 8 ; Year: 2021 ; Issue: 1 ; Pages: 1-16 ; Abingdon: Taylor & Francis

Classification
Management
Subject
Online shopping
continuous usage
ECM
TTF
trust
pandemic
COVID-19

Event
Geistige Schöpfung
(who)
Al-Hattami, Hamood Mohammed
Event
Veröffentlichung
(who)
Taylor & Francis
(where)
Abingdon
(when)
2021

DOI
doi:10.1080/23311975.2021.1936368
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Al-Hattami, Hamood Mohammed
  • Taylor & Francis

Time of origin

  • 2021

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