Consumer online shopping and purchase intentions after the COVID-19 pandemic: the role of acquired online proficiency and technostress
Karina Adomavičiūtė et al.
Abstract
Purpose The COVID-19 pandemic, as a global challenge, disrupted daily routines and reshaped shoppers' behaviours toward online purchasing. Although the necessity to use technology has decreased, the confidence in online shopping gained during this period continues to influence the intention to purchase online. This influence becomes more complex when the role of technostress is considered. Based on the extended technology acceptance model (TAM) and stressor–strain–outcome (SSO) framework, this study analyzed the interplay between online proficiency and technostress in predicting perceptions about the ease of use of online shopping and intention to purchase online. Design/methodology/approach Data were collected via a representative survey (809 respondents) in Lithuania and analyzed with the help of a partial least squares structural equation modelling. Findings In addition to its direct effect on perceived ease of use of online shopping and the total effect on intention to purchase online, internet self-efficacy affected perceived ease of use indirectly via technostress and internet shopping anxiety. Originality/value This study provides a conceptually new model of the interplay between internet self-efficacy and technostress for predicting perceived ease of use and online purchasing intention in the post-pandemic period. Its contribution to the literature is twofold and includes: (1) application of the SSO framework for predicting relationships between technostress, internet shopping anxiety and perceived ease of use of online shopping and (2) elaboration of the impact of internet self-efficacy and technostress on intention to purchase online with the help of extended TAM.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.