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dc.contributor.authorThapa, Sarita
dc.date.accessioned2022-06-02T14:16:56Z
dc.date.available2022-06-02T14:16:56Z
dc.date.issued2022-05
dc.identifier.urihttp://hdl.handle.net/1951/81298
dc.description.abstractThis paper analyzes the customer perception of corporate workers towards adopting eCommerce (online shopping and e-banking) in Kathmandu Valley, considering age, gender, education, and birthplace as demographic variables in the post-outbreak COVID-19 pandemic. The study shows that COVID-19 highlights the need for digital transformation due to the change in customer needs. The pandemic world strongly enforces the enhanced digital transformation, which benefits businesses or organizations. This study integrates the Technology Acceptance Model (TAM), Theory of Reasoned Action (TRA), Diffusion of Innovation (DOI) and Unified Theory of Acceptance and Use of Technology (UTAUT) as a practical implication for the analysis of the study. Descriptive and causal research designs are adopted for this study. A total of 60 respondents (corporate workers) of the Kathmandu Valley were selected for study purposes. Likert scale questionnaires were used to gather information about their perception of e-commerce. Reliability is measured using Cronbach’s Alpha Test. The statistical tool computed descriptive analysis, independent t-test/ANOVA, correlation, and linear regression analysis. The study explains the customer perception of adopting e-commerce services based on perceived usefulness, ease of use, and risk. The analysis indicates that perceived usefulness and ease of use influence and has a statistically significant relationship with the adoption of e-commerce. In contrast, perceived risk is statistically non-significant and does not influence the adoption of e-commerceen_US
dc.subjectdigital transformation, perceived risk, perceived ease of use, perceived risksen_US
dc.titleStudy of Consumer’s Perception towards Adoption of eCommerce (online shopping and e­banking) in Kathmandu Valley among corporate workers in the post­pandemic.en_US
dc.typeArticleen_US


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