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This study explores food delivery app users and technology acceptance model as a theoretical underpinning. This study thus investigated the determinants of usefulness, ease of use and intention to use for food delivery app service.

The variables of delivery time, diverse menu, quarantine, review quality and ease of use are employed as determinants of usefulness. The antecedents of ease of use are easy registration and easy payment. This study also examined the association between ease of use, usefulness and intention to use. This study collected data using Amazon Mechanical Turk, and the number of valid observations for statistical analysis was 484. A structural equation model was used to test the hypotheses.

Regarding the results, usefulness was positively affected by delivery time, quarantine, review quality and ease of use. Additionally, ease of use was positively impacted by easy registration and easy payment. Finally, this study showed that ease of use positively affects both usefulness and intention to use, and usefulness is positively associated with intention to use.

This study contributes to the literature by ensuring the explanatory power of technology acceptance model for food delivery app.

The purpose of this study is to identify the attributes that statistically affect reason intention. The triple bottom line, a theoretical framework of corporate social responsibility (CSR) consisting of economic, social and environmental subdimensions, is used as the theoretical foundation.

In this study, price fairness, quarantine and hygiene, and eco-friendliness represent economic, social and environmental CSR, respectively. Amazon Mechanical Turk is used for data collection. The valid number of observations is 474. Structural equation modeling is implemented to test the research hypotheses.

The results indicate that price fairness, quarantine and hygiene positively affect the reuse intention of coffee shops. However, eco-friendliness appears to be an attribute that does not significantly affect reuse intention.

This study theoretically contributes to the literature by demonstrating the explanatory power of triple bottom line theory for café customer intention.

This study aims to explore the structural relationship among food quality, usefulness, ease of use, convenience, brand trust and willingness to pay. The technology acceptance model was used as the theoretical foundation of this work.

Amazon Mechanical Turk was used to recruit survey participants, and 436 valid observations were ultimately used for the analysis. In the data analysis, the structural relationships between variables were explored through structural equation modeling.

The results of hypothesis testing show that ease of use positively affects the usefulness of the Starbucks mobile application. Usefulness also exerts positive impacts on both brand trust and convenience. Moreover, brand trust is positively associated with food quality. Finally, willingness to pay is positively influenced by both convenience and brand trust.

This study contributes to the literature by not only validating the technology acceptance model using the Starbucks mobile application but also proposing food quality-related attributes in the domain of the café business.