Purpose The purpose of this study is to verify the existence of loyalty among fast-food customers and its dependence on fast-food service quality, comprising service quality, food quality and store atmosphere. This study also examines the direct and mediating role of constructs such as satisfaction and trust in creating loyalty in fast-food restaurants (FFRs). Design/methodology/approach A sample of 456 fast-food customers was collected using a structured questionnaire. This paper uses partial least squares path modeling to test and validate the study’s research model and hypotheses. Findings The results suggest that fast-food service quality has a positive influence on satisfaction, trust and loyalty among fast-food customers. The findings also reveal a mediating effect of trust (partial mediation), increasing the effect of satisfaction on loyalty. Practical implications This study reinforces the importance of considering the attributes that influence customer loyalty. Specifically, food quality is considered key to increasing loyalty among FFR customers. Originality/value This study proposes an integrated model influenced by three factors that contribute to fast-food service quality (i.e. food quality, service quality, atmosphere) along with classical variables used in the marketing literature (i.e. satisfaction, trust) in the creation of FFR loyalty. This study also follows modern procedures in PLS-SEM by challenging conventional methods.

No abstract

The development of information and communication technologies offers innovative opportunities to establish business strategies focused on customer value co-creation. This situation is especially notable in the banking industry. e-Banking activities can support competitive advantages. However, the adoption of e-banking is not yet well-established among consumers. In this sense, the technology acceptance model (TAM) is considered essential in studying consumer behavior applied to adopt a particular technology. According to the TAM model, this study analyses the factors which influence bank customers to adopt e-banking to facilitate their banking services and support the process of value co-creation. Consequently, the authors examine five main aspects of the technology adoption model to provide a broad understanding of bank customers’ consumption of e-banking. A partial least squares structural equation modeling (PLS-SEM) analysis is conducted to evaluate proposed relationships between factors and customers’ e-banking adoption.