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The aim of the study is to explore the experience of eating disorder support group participants. The research question is “What is the experience of adults recovering from an eating disorder in a professionally-led monthly support group?”

This qualitative study explored the experience of adults recovering from an eating disorder in a professionally-led monthly support group. Participants were 18 adults recovering from an eating disorder who attended a monthly support group. The data were collected using an online anonymous survey and then analysed using a thematic analysis.

The main themes that emerged were: (1) sharing the pain and promise, (2) cautions and concerns and (3) facilitators have influence. The findings indicate that the support group provided a safe space to share their lived experience, that it reduced stigma and isolation, and improved participants' motivation and engagement. Moreover, the results revealed some challenges to the functioning of the group. These included management of discussions and dominant members, need for psycho-educational information and managing intense feelings, relating to body-related comparison and other mental disorder comorbidities.

This is the first study highlighting the valuable role of the facilitator in balancing content with compassion, in ensuring safety in the group, and potentially fulfilling a valuable education function in supporting participants in their eating disorder recovery journey.

Several inferential procedures are advocated in the literature. The most commonly used techniques are the frequentist and the Bayesian inferential procedures. Bayesian methods afford inferences based on small data sets and are especially useful in studies with limited data availability. Bayesian approaches also help incorporate prior knowledge, especially subjective knowledge, into predictions. Considering the increasing difficulty in data acquisition, the application of Bayesian techniques can be hugely beneficial to managers, especially in analysing limited data situations like a study of expert opinion. Another factor constraining the broader application of Bayesian statistics in business was computational power requirements and the availability of appropriate analytical tools. However, with the increase in computational power, connectivity and the development of appropriate software programmes, Bayesian applications have become more attractive. This chapter attempts to unravel the applications of the Bayesian inferential procedure in marketing management.

Developing an effective destination branding strategy in places that have a negative image is still a difficult challenge to overcome for place marketers. Therefore, the purpose of this paper is to analyze how developing and promoting a new cuisine can transform a negative destination image into a positive one. The main premise is that food can be an effective way of rebranding a destination.

The research method used for this exploratory study was the qualitative content analysis of 50 articles from newspapers and magazines in English and websites from the Mexican tourism boards websites.

The results of the qualitative content analysis showed that local chefs (who are proud of their city and aim to promote their cuisine through the use of local products and the organization of food events) are fundamental for the development of a new and successful cuisine able to change the negative image of a destination.

The paper provides an innovative approach to destination image restoration by analyzing local gastronomy as an important means to offset the negative media projection of a damaged destination image.