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The purpose of this paper is to introduce e-mindfulness as a tourism trend. Mindfulness meditation is becoming increasingly mainstream, which is reflected in a rapidly growing number of related technology applications. Such technology-assisted mindfulness is typically referred to as e-mindfulness. The e-mindfulness trend creates opportunities for the tourism industry but also implies changed consumer perspectives on tourist experiences.

The paper is based on a general review of academic literature, news reports and online resources regarding the offerings of related technologies.

Implications of e-mindfulness for consumers, tourism service providers and designers of future tourism experiences are outlined.

This is the first paper to conceptualize e-mindfulness as a tourism trend.

This paper aims to use systems mapping as a tool to develop an organisation-wide approach to public mental health to inform strategic direction within a national public health agency.

Two workshops were facilitated with internal staff from a wide range of public health policy teams working in small groups to produce paper-based maps. These were collated and refined by the project team and digitised.

The approach engaged a range of teams in forming a shared understanding and producing a complex system map of the influences on population mental health and well-being, where current policy initiatives were addressing them and what the gaps and priorities were. Participants valued the approach which led to further study and organisational commitment to the whole system working as part of national public mental health strategy.

The approach was limited to internal stakeholders and wider engagement with other sectors and community members would help further the application of complex system approaches to public mental health.

It was a valuable process for developing a whole-organisation approach and stimulating thinking and practice in complex system approaches. The paper provides a practical example of how to apply systems mapping and its benefits for organising public mental health practice.

The purpose of the study is to highlight the relevance of reactance theory for modeling consumer responses to COVID restrictions. The study also aims to critically evaluate the appropriateness of the most established reactance model (the intertwined model) for studying reactance specifically in relation to freedom threats arising from measures aimed at combatting the spread of the pandemic.

Following a conceptual analysis of the intertwined model of reactance, structural equation modeling is applied to Rain's (2013) meta-analytic data to compare the model to alternative model specifications.

The analysis reveals both conceptual and statistical shortcomings of the intertwined model of reactance in its current/traditional form. It also draws attention to other model specifications that provide just as good statistical fit and offer promising alternative ways of modeling reactance in a COVID context.

The study is the first attempt to explicitly discuss conceptual and statistical problems associated with the most widely accepted model of reactance, illustrate these issues with specific reference to consumer reactions to COVID restrictions, identify alternative promising model specifications and suggest a respecification of the intertwined model.