This study aims to explore the factors that affect consumers' behavior in adaptation and use of internet-based services (IBS) during the COVID-19 crisis. In this study, technology acceptance model (TAM) was applied to predict the behavioral intention of active social media users among the Pakistan population based on the revised model of the TAM model. And the data of external factors facilitating conditions (FC), social impact (SI), and task technology fit (TTF) were collected from active social media users of Pakistan by using structured questionnaires. After performing Pearson's correlation and linear regression on the collected data, findings have shown that the outcome variable, i.e., behavioral intention, exhibited significant correlation with all variables except for perceived ease of use (PEoU). Further analysis revealed mixed results wherein FC and TTF can make a significant influence on perceived usefulness (PU) and PEoU, respectively. In addition, PU can significantly affect attitude (ATT) towards the use of IBS while the use of IBS has been affected by behavioral INT during the outbreak of COVID-19 in Pakistan.

中文翻译：

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从技术接受模型的角度看 COVID-19 危机期间巴基斯坦基于互联网的服务 (IBS) 的消费者使用行为。

本研究旨在探讨在 COVID-19 危机期间影响消费者适应和使用基于互联网的服务 (IBS) 行为的因素。在本研究中，基于 TAM 模型的修正模型，应用技术接受模型 (TAM) 预测巴基斯坦人群中活跃社交媒体用户的行为意图。并通过结构化问卷从巴基斯坦活跃的社交媒体用户那里收集了外部因素促进条件 (FC)、社会影响 (SI) 和任务技术契合度 (TTF) 的数据。在对收集到的数据进行皮尔逊相关和线性回归后，研究结果表明，结果变量，即行为意图，与除感知易用性（PEoU）之外的所有变量都表现出显着相关性。进一步的分析揭示了混合结果，其中 FC 和 TTF 可以分别对感知有用性 (PU) 和 PEoU 产生重大影响。此外，PU 可以显着影响对使用 IBS 的态度 (ATT)，而在巴基斯坦爆发 COVID-19 期间，IBS 的使用受到行为 INT 的影响。