Dataset of Consumers’ Attitude Towards E-commerce Business During Post-Pandemic Era: Bangladesh Perspective

This dataset concerning consumers' attitudes toward e-commerce during the post COVID-19 in Bangladesh. The dataset was collected using a quantitative survey approach with a structured questionnaire distributed to 299 participants. The research model drew upon the Theory of Planned Behaviour and the Technology Acceptance Model to explore factors influencing consumer attitudes toward e-commerce. The dataset includes variables related to perceived usefulness, perceived ease of use, pandemic awareness, and trusting belief, all of which were measured using 5-point Likert scale items. The dataset has significant reuse potential for researchers interested in understanding consumer behaviour in online shopping contexts, particularly post crisis such as the COVID-19 pandemic. It provides valuable insights into the factors shaping consumer attitudes and intentions in e-commerce, which can inform strategic decision-making for businesses operating in the digital marketplace. This dataset contributes to the existing knowledge base on consumer behaviour and technology adoption, offering opportunities for further research and analysis in the field of e-commerce studies.