Applying an Extended Protection Motivation Theory Model to Predict Resident Hospitality During the COVID-19 Crisis

Author:

Li Shuhao1ORCID,Chen Mimi1,Ma Xiao1,Sun Zhongfeng2

Affiliation:

1. School of Tourism and Geography Science, Qingdao University, Qingdao, Shandong, China

2. School of Business, Putian University, Putian, Fujian, China

Abstract

This study integrates trust in government, fear of COVID-19, and economic dependence on tourism into the protection motivation theory (PMT) framework to predict resident hospitality during the COVID-19 crisis. Structural equation modeling is utilized to analyze 281 questionnaires from destination residents. Findings show that threat severity and threat vulnerability can indirectly reduce resident hospitality through fear of COVID-19, whereas response efficacy and self-efficacy can directly promote resident hospitality. Trust in government can change the levels of threat severity, threat vulnerability, response efficacy, and self-efficacy, which in turn influences fear of COVID-19 and resident hospitality in different ways. Additionally, economic dependence on tourism is found as the most influential predictor of resident hospitality. Theoretically, this study contributes to the literature by developing a comprehensive and novel extended PMT model to understand the formation mechanism of residents’ attitudes during the COVID-19 crisis. Practical implications can help better improve resident hospitality.

Funder

Scientific Research Start-Up Project for Talent Introduction in Qingdao University

Publisher

SAGE Publications

Subject

Tourism, Leisure and Hospitality Management,Transportation,Geography, Planning and Development

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