No abstract

Belanja online saat ini menjadi fenomena yang menarik di Indonesia. Data menunjukkan perkembangan yang sangat pesat terjadi dari segi konsumen online, apalagi ketika masa pandemi covid-19. Dengan banyaknya jumlah konsumen yang tidak bisa melakukan aktifitas sehari-hari atau karantina dirumah, menjadikan peningkatan yang signifikan pada belanja online. Mempelajari perilaku konsumen perlu dilakukan karena berkaitan dengan keputusan pembelian. Tentunya hal ini menjadi penting untuk mengetahui perilaku pembeli online selama masa pandemi COVID-19. Penelitian ini menggunakan teknik analisis structure equational model – Partial least square. Jumlah sampel dalam penelitian ini adalah 300 sampel.  Hasil penelitian ini menunjukan bahwa perilaku belanja online pada masa Pandemi COVID-19 dipengaruhi oleh factor persepsi pribadi seperti kepercayaan, kenyamanan, kemudahan, dan keamanan. Penelitian ini dapat memberikan manfaat bagi perusahaan atau toko online dalam menarik konsumen untuk berbelanja selama pandemic Covid-19

No abstract

A survey by Katadata shows that during the COVID-19 Pandemic, the e-commerce sector of Indonesia showed a significant rise of visitors. In addition, the number of visits to e-commerce websites is very high in the third Quarter of 2020. Additionally, the e-commerce sector is one of the highest contributors towards Indonesia’s gross domestic product (GDP). Thus, increasing consumer satisfaction and repurchase intention is essential for companies, especially in fashion products. This study aims to measure website quality on repurchase intention through the role of consumer satisfaction in the context of e-commerce in Indonesia.Furthermore, website quality has dimensions such as information quality, system quality, and e-service quality. This study uses a descriptive quantitative approach that focuses on e-commerce in Indonesia. The data is collected through online questionnaire which is distributed to 333 consumers who used e-commerce to buy fashion products and used for further analysis. To analyze each variable,  partial least squares structural equation modelling (PLS-SEM) is used to test the hypotheses. This study found that all dimensions of website quality and customer satisfaction are determining factors in repurchase intention. Lastly, this research provides guidelines in providing strategies for companies in the context of e-commerce websites in Indonesia

The pandemic has changed almost all of the ways people do their activities. One of the changes felt was a change in learning activities that were forced to be held online. For approximately 2 years the implementation of knowledge transfer is carried out remotely using certain applications with the support of existing technology and the internet. Transformed learning is not only formal learning in schools but also informal learning such as online courses or training. The pandemic has indirectly catalyzed the growth of 2 new business sectors, namely the health sector and the education sector / Education Technology. Indonesia is a country with a very large population and is very attractive to foreign business players, including those in the Education Technology sector. Therefore, research to analyze the adoption of online training is important to help local startups in the Education Technology sector develop products that are suitable for the Indonesian market. This study aims to examine the factors that influence the behavior of online course/training adoption. The proposed model is a development of the TAM model which is given several additional variables. This research used a set of questionnaire and valid data gathered from 161 samples. Data were analyzed by using Partial Least Square. The result shows that the model has a strong predictive power for measuring future use behavior.