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.

本数据集聚焦于孟加拉国后COVID-19时期消费者对电子商务态度的研究。该数据集通过定量调查方法，向299位参与者发放结构化问卷而收集。研究模型借鉴了计划行为理论（Theory of Planned Behaviour）和技术接受模型（Technology Acceptance Model），以探讨影响消费者对电子商务态度的因素。数据集涵盖了感知有用性、感知易用性、疫情认知和信任信念等变量，所有这些变量均采用五点李克特量表（5-point Likert scale）进行测量。对于致力于理解在线购物情境中消费者行为的学者而言，该数据集具有显著的再利用价值，尤其是在诸如COVID-19疫情等危机事件之后。它为塑造消费者在电子商务中的态度和意图的因素提供了宝贵的见解，有助于为在数字市场中运营的企业制定战略决策提供信息。本数据集丰富了关于消费者行为和技术采纳的知识体系，为电子商务研究领域的进一步研究和分析提供了机遇。