The pandemic caused by the SARS-CoV-2 virus (COVID-19) has significantly affected the tourism industry. Tourist destinations have adopted emergency measures and restrictions that have affected the mobility of individuals around the world. This study aims to analyze the effects of the COVID-19 pandemic on the tourism industry in Malaysia and its overall economic performance. This research used an extensive set of statistical tests, including a newly constructed Auto-Regressive Neural Network-ADF (ARNN-ADF) test, to determine if foreign visitor arrivals from 10 main source markets in Malaysia will revert to normal. Secondary data from various government published sources were used in this conceptual methodology technique for this study. Based on the research results and exploratory research of the literature, we listed in a synthesizing manner several measures to ensure the resilience of the tourism sector during the COVID-19 pandemic period. This research makes a significant contribution to the literature in terms of validating a new framework that emphasizes the effects of tourists that are largely transitory. In conclusion, this conceptual study will further help the authorities to take precautions and the best policy to be implemented in the future. Doi: 10.28991/esj-2021-SPER-10 Full Text: PDF
This study explores the depiction of local culture in the Indonesian websites of English and American companies operating in Indonesia. The objective is to evaluate if the websites have been adapted to the local culture of Indonesia. Content analysis was employed in the analysis utilising an instrument applied in many similar types of research on website content analysis. Results of the study suggest that more effort is needed by the foreign companies to adapt their websites to this local cultural environment, particularly with regards to the cultural dimensions of high context, collectivism and power distance.
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