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This study aims to examine the role of the tourism marketing mix (TMM) and the perceived quality of tourism services on tourist satisfaction and loyalty intention in marine tourism in East Java, i.e. beaches. In addition, this study also examines the impact of financial literacy on loyalty intention.

The sample consists of 320 tourists who were visiting the beach. Data was collected using the accidental sampling technique. Moderated structural equation modelling (MSEM) was registered as the analytical tool used in this study.

The results of the study show that the innovation and renovation carried out on beach tourism during the rejuvenation stage had an impact on increasing tourist visits. The TMM and the perceived quality of tourism services provided significantly increased tourist satisfaction and loyalty intention. In addition, financial literacy is found to be an important factor in promoting tourists’ loyalty intention.

As mentioned in the conclusion, there are just a dim number of prior research that are able to back up the argument of the role of financial literacy in instigating suboptimal financial behaviour and performance in the context of tourism behaviour, especially highlighting the loyalty intention. Not to mention that prior research is not specifically intended in the tourism field, which makes it hard to extend the argument while structuring the literature review and developing the hypothesis.

This study is mainly important due to its emphasis on financial literacy on its role in promoting tourists’ loyalty intentions, as it found that financial literacy holds a critical role while there is barely any existing literature that focuses on this topic.

This research aims to provide a predictive model assessment on the effect of information sharing on fresh produce supply chain (FPSC) performance during the COVID-19 pandemic by incorporating information quality as an important part of information sharing, as well as cognitive and affective appraisals as part of a social learning process (mediators) into the model.

An online survey was conducted on 197 small fresh produce (fruits and vegetables) retailers in Indonesia during the COVID-19 pandemic. The data were analysed using Partial Least Squares Structural Equation Modeling (PLS-SEM) particularly PLSpredict supported by SmartPLS 4 software.

This research reveals that information sharing is positively and significantly associated with information quality and that the two constructs are not directly associated with FPSC performance. The path analysis suggests that the effect of information sharing on FPSC performance is fully mediated by cognitive and affective appraisals to the information-sharing activity. It also suggests that the effect of information quality on FPSC performance is fully mediated by affective rather than cognitive appraisal. This model shows a high predictive power and highlights the pivotal role of the learning process during the COVID-19 pandemic.

This research is the first to employ a predictive model assessment in PLS-SEM to empirically predict the effect of information sharing on FPSC performance using a social learning perspective, particularly in the context of the COVID-19 pandemic.