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COVID-19 is bringing hardship and tragedy. Health workers are having to take appalling risks; loved ones are being lost; lockdown is causing great distress. And, as always in testing times, the disadvantaged are being hit worst. As we emerge from the shadows, the call from the vested interests, from the systems current winners, will be for a rapid return to business as usual. We must resist this; business as usual got us into this mess.

COVID-19 is trying to tell us something; we health educators and social marketers must listen, think and, above all, take action.

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.

This paper aims to present a description of the development and implementation of a combined school- and community-based intervention for the prevention of overweight among children, using the combined methods of social marketing (SMk) and intervention mapping (IM).

The SMk total process planning (TPP) framework was used, a simple but robust framework that consists of five stages: scoping, development, implementation, evaluation and follow-up. In addition, IM tools were embedded in the development stage to strengthen the development element of the campaign.

The use of the SMk TPP framework led to the selection of one specific target segment and behaviour. IM tools helped to select the most important and modifiable determinants and behaviours in the target segment, as well as to select and appropriately apply theoretical methods for influencing determinant and behaviour change. The resulting “Water Campaign” was aimed at Turkish and Moroccan mothers and their 6-12-year-old-children (target segment). This intervention addresses the consumption of sugar-sweetened beverages through the promotion of tap water drinking (target behaviour). The systematic involvement of key stakeholders resulted in capacity-building and co-creation.

A key finding of the present work is that the SMk TPP framework and IM tools can be successfully combined in intervention development, helping to develop enhanced interventions. Combining these methods led to a theory-based and client-oriented intervention, which was directed at multiple ecological levels and which systematically involved key stakeholders. With this detailed description of the intervention development, this paper aims to assist other researchers and practitioners in their quest to develop better interventions.