SCHOOL TEACHERS’ BEHAVIOR IN REMOTE LEARNING DURING COVID-19 PANDEMIC: INDONESIA PERSPECTIVE

This study aims to uncover the extension of the Technology Acceptance Model (TAM) in understanding, explaining, and predicting elementary school teachers’ behavior in Indonesia to use online learning technology during the covid-19 pandemic. The TAM model in this study is extended by accounting for four additional variables, which are subjective norms, and job relevance as a predictor of perceived usefulness, also, computer self-efficacy and computer anxiety to predict perceived ease of use. This study uses an online survey method with a purposive sampling technique involving 475 elementary school teachers located in Jakarta, Palu, and Sorong (some of the big cities in Indonesia). The data analysis technique is Structural Equation Modeling (SEM) with the help of IBM SPSS AMOS 21 software. The results of this study show that the TAM model developed in this study can explain and predict the intentions of elementary school teachers in using online learning technology during the covid-19 pandemic as indicated by the support of the hypotheses tested in this study. Overall, TAM is a very popular model for understanding, explaining, and predicting the use of new technology systems. The implications and limitations of this study are also discussed in this article. © 2022, Turkish Online Journal of Distance Education. All Rights Reserved.

Panic-Buying Behavior During The Covid-19 Pandemic in Indonesia: A Social Cognitive Theoretical Model

Currently, there are limited studies on the application of the social cognitive theory in social psychology, particularly in explaining and predicting panic-buying behavior during the COVID-19 pandemic in Indonesia. This study is primarily aimed at acknowledging the role of the social cognitive theory's development in explaining and predicting the panic-buying behavior of Indonesian citizens during the COVID-19 pandemic. The development of the theory is attained by combining emotions and subjective norms to predict the panic-buying behavior intention in Indonesia. Using a purposive sampling technique, the sample size consists of 350 respondents from various areas, such as Jakarta, Tangerang, and Banten. An online survey was performed as the data collection method. Social desirabilit response (SDR) test was also conducted by this study to guarantee the naturality of the replies from the respondents. Data were then analyzed using structural equation modeling (SEM) with a two-stage approach. The result demonstrated that emotions have the highest impact on the panic-buying behavioral intention. Further, subjective norms, self-efficacy, and social outcome expectancies have the second, third, and fourth highest impacts on panic-buying behavior, respectively. In general, the social cognitive theory model developed in this study can understand, explain, and predict panic-buying behavior during the COVID-19 pandemic outbreak in Indonesia. Overall, the results of this study may serve as basic information for practitioners and business persons by providing insights regarding the factors that form consumers' intentions and behavior during the pandemic, relating to their buying decisions.