Adaptation of Small and Medium Enterprises (SMEs) affected by the outbreak of the novel Coronavirus infection disease 2019

Abstract

This article aims to study the adaptation potential of Small and Medium Enterprises (SMEs) to cope with the situation of the novel Coronavirus infection disease 2019. The research model is quantitative research, using Roy's adaptation theory as a research framework and the research area in Bangkok. A sample group consisted of 250 Small and Medium Enterprises (SMEs) using probability sampling. The research tool is a questionnaire analyzing data using descriptive statistics such as percentage, frequency, mean, standard deviation and inferential statistical analysis including Independent Sample (T-test) and One-Way ANOVA (F-test), and Person Correlation. The results of the research found that variables that are positively correlated with variables that can predict opinions about the business entrepreneurs' adaptation to cope with the situation of the novel Coronavirus infection disease 2019 is the adjustment in information and communication technology (X₃) was statistically significant at the 0.05 with a coefficient of 1.002, which means that if businesses (SMEs) have the potential to adjust increased by 1 unit of information and communication technology (X₃), they will adjust to cope with the situation of the novel Coronavirus infection disease 2019 increased by 1.002 units.