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This study aims to develop a conceptual model to understand how customer knowledge management (CKM) affects fitness club membership renewal through the mediation of relationship quality.

Data were collected outside of fitness clubs using a systematic sampling method. A total of 224 valid responses were collected. Structural equation modelling was used to evaluate the relationship between the constructs of the research model.

The results indicate that both knowledge from customers and knowledge for customers have a positive influence on customer satisfaction and customer trust. Among them, knowledge for customers has a stronger influence on customer satisfaction while knowledge from customers has a greater influence on customer trust. Additionally, three dimensions of relationship quality (customer satisfaction, customer trust and customer commitment) positively influence membership renewal intention with customer commitment exhibiting the greatest influence on it.

This study combines the theories of CKM and relationship quality management to explain why members will renew their service contracts. By using fitness clubs as an example, this research extends the authors' understanding of how knowledge from and for customers can influence customers' attitudes and behavioural intentions towards service companies.

Food delivery apps (FDAs), as a well-known technology, have been widely adopted by restaurants and customers. Different from existing studies in this field that mainly focused on the technical (internal) parts, the study aims to introduce a new framework by linking up technical (internal) factors and service-related (external) factors in the context of FDAs. This study also empirically analyzes a comprehensive model that identifies the impacts of internal and external factors in FDAs on the continuous use intention.

This study proposes a comprehensive model integrating internal and external factors with a sample of 498 respondents who had ordered or purchased food through delivery apps for the partial least squares structural equation modeling (PLS-SEM) analysis.

The results of the study show that time-saving is the most significant factor on customers' perceptions, and various food choices and usefulness have also direct positive impacts on perceived value and satisfaction. In addition, perceived value shows a stronger effect than satisfaction on customers' continuous usage.

These findings provide a new perspective on FDAs, which not only simplify the elements of FDAs but also classify internal and external factors to foster the theoretical and practical development. Ultimately, the model proposed and validated in this study can serve as the basis for future FDAs and other service apps development.

This study aims to empirically testify an integrated model, including the attributes of smart tourism technologies (STTs) (user interface [UI] design, informativeness, accessibility, personalization and interactivity), satisfaction, loyalty and word of mouth (WOM), and further investigate the potential moderating effect of switching costs (SCs) on the satisfaction–loyalty/WOM relationships.

Systematic sampling was used to collect data in Macau. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze valid data collected from 332 tourists who have recently used STTs.

The results indicate that informativeness has a stronger effect on satisfaction, loyalty and WOM than UI design, accessibility and personalization; interactivity shows no significant influence on satisfaction, loyalty and WOM; satisfaction positively influences loyalty and WOM. Furthermore, procedural SCs negatively moderate the effects of satisfaction on loyalty and WOM.

The present study extends the knowledge about information technology and tourism (ITT) by introducing a new attribute, UI design into STT structure and confirming that UI design is an effective predictor of user satisfaction. This paper is also a pioneer study that integrates customer satisfaction with STTs with SCs to explore the mechanism of how customer loyalty and WOM are generated. Practical recommendations are provided for STT designers and destination managers to improve the overall quality of STTs and to consider carefully setting procedural SCs as a retention strategy.