The purpose of this study is to investigate the antecedent attributes of customer satisfaction in the coffee shop business domain. Based on the literature, this research examines “atmosphere,” “employee attitudes,” “information technology service (IT service),” and “coffee quality” in relation to “satisfaction” and “loyalty.” A total of 277 observations were obtained from data collected using Amazon Mechanical Turk. For the data analysis, confirmatory factor analysis and structural equation modeling were conducted to examine the validity of the measurements and to understand the structural relationship. The results showed that the hypothesized antecedent variables were statistically significant to account for satisfaction. In particular, taste was identified as the most influential attribute accounting for satisfaction. Moreover, a significant relationship between “satisfaction” and “loyalty” was identified.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Originality/value: This study contributes to the literature by ensuring the explanatory power of technology acceptance model for food delivery app.

The purpose of this research is to examine the determinants of coffee shop purchase intention. The research domain is Starbucks, which is the brand ranked first in the coffee shop market. This study selects healthiness, hygiene, quarantine, ease of app use, and environmental responsibility as candidates for the antecedents of purchase intention. For hypothesis testing, this research used a survey and recruited survey participants using Amazon Mechanical Turk, and carried out multiple linear regressions to test research hypotheses. The number of valid observations for the data analysis is 474. It was found that purchase intention is positively influenced by healthiness, hygiene, quarantine, and ease of app use. However, environmental responsibility was identified as a nonsignificant attribute to account for purchase intention. Practical implications are presented for coffee shop management. The outcomes contribute to the literature by scrutinizing café customers’ purchase intention with various attributes.