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How To Help Restaurants Survive during COVID-19?

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COVID-19 occurred in early 2020 which led to social restrictions, physical distancing, and even large-scale social restrictions (PSBB) in Malang City. This impact has massively shattered the social and economic foundations of Indonesia. This research is aimed to investigate the impact of health surveillance trust, perceived safety and restaurant brand, solidarity with the food services towards revisiting intention, intention to visit other restaurants, and word of mouth through satisfaction in Malang restaurants. Two hundred and fifty respondents participated in this study. To achieve the aim of this study, SmartPLS3 software was used. The research method used is a survey through the distribution of questionnaires. Survey results through questionnaires were inputted, tabulated, and processed for later analysis using SmartPLS3 software. As predicted, health surveillance trust, perceived safety and restaurant brand, solidarity with the food services had a significant effect on satisfaction. In addition, the effect of satisfaction on revisit intention, intention to visit other restaurants, and word of mouth has been proven in this study. From a practical standpoint, it is obvious that to help restaurants survive, the government and the community can work together to build empathy and solidarity with the restaurants as well as comply with health and safety protocols.
Title: How To Help Restaurants Survive during COVID-19?
Description:
COVID-19 occurred in early 2020 which led to social restrictions, physical distancing, and even large-scale social restrictions (PSBB) in Malang City.
This impact has massively shattered the social and economic foundations of Indonesia.
This research is aimed to investigate the impact of health surveillance trust, perceived safety and restaurant brand, solidarity with the food services towards revisiting intention, intention to visit other restaurants, and word of mouth through satisfaction in Malang restaurants.
Two hundred and fifty respondents participated in this study.
To achieve the aim of this study, SmartPLS3 software was used.
The research method used is a survey through the distribution of questionnaires.
Survey results through questionnaires were inputted, tabulated, and processed for later analysis using SmartPLS3 software.
As predicted, health surveillance trust, perceived safety and restaurant brand, solidarity with the food services had a significant effect on satisfaction.
In addition, the effect of satisfaction on revisit intention, intention to visit other restaurants, and word of mouth has been proven in this study.
From a practical standpoint, it is obvious that to help restaurants survive, the government and the community can work together to build empathy and solidarity with the restaurants as well as comply with health and safety protocols.

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