Search results

This study explores consumers' intentions to utilize online food delivery services (OFDS) in a shared economy beyond the COVID-19 pandemic, employing the protection motivation theory (PMT) as the underlying framework.

Utilizing a random sampling technique, a quantitative approach was employed to gather responses from 347 Australian consumers. The proposed model was tested through covariance-based structural equation modelling.

The findings of this study demonstrate significant positive relationships between restaurant credibility, food quality, e-service quality, price, online food delivery applications, consumer e-satisfaction and e-loyalty. It reveals that consumers satisfied with OFDS may continue exhibiting e-loyalty intentions in a shared economy beyond COVID-19. The relationship between consumer e-satisfaction and e-loyalty intention is moderated by consumer-perceived COVID-19 risk.

This study offers practical implications for online food delivery providers, restaurants, regulators, application developers and policymakers. These implications aim to enhance the e-service quality, price value, usefulness and security of OFDS, along with strategies to improve the online food delivery application.

This study contributes to the existing body of knowledge by examining a unique selection of antecedents, including the OFDS app, to determine consumer e-satisfaction and e-loyalty in the context of a shared economy beyond COVID-19. The utilization of the OFDS app as a second-order construct adds a meaningful contribution to the OFDS literature. Furthermore, this study investigates and contributes to the limited understanding of the moderation effect of consumer-perceived COVID-19 risk on consumer e-satisfaction and their intended continued use of OFDS.

This paper aims to identify factors that influence customers' panic buying behavior during the COVID-19 pandemic.

A self-administered questionnaire was distributed to 357 participants in Fiji, and structural equation modeling to analyze the collected data.

Results indicate that expected personal outcomes is positively associated with customers' attitudes while expected community-related outcomes negatively impact customers' attitudes. Factors such as attitude, subjective norms, scarcity, time pressure and perceived competition were found to positively influence customers' panic buying intention. Furthermore, scarcity and time pressure were confirmed to positively influence perceived competitiveness while perceived social detection risk negatively influences customer's panic buying intention.

The findings highlight the need for better measures to ensure that every customer has access to goods and services and is not deprived of such necessities in times of a crisis. These results will assist store managers and policymakers in introducing better management, social policies and resource utilization mechanisms to mitigate panic buying during the pandemic.

This study's findings contribute to the literature on customer's panic buying behavior during a global pandemic. Research in this area remain scarce, inconsistent and inconclusive. Novel insights are generated as this study is the first to combine the theory of planned behavior, privacy calculus theory and protection motivation theory. Applying these theories allows new relationships to be tested to better understand customer behavior during a global pandemic. With most studies on customer behavior during crises and disasters in developed countries, this study generates new insights by exploring customer behavior in a developing country.