Purpose This research describes and evaluates the co-creation of a programme called “A Healthy Choice”. Underpinned by design thinking (DT), this study aims to improve the healthfulness of food choices in supermarkets among consumers to promote their well-being. Design/methodology/approach The research features two studies. Study 1 included five co-design workshops with consumers and staff (n = 32) to develop a consumer-centred programme. The findings supported the design and implementation of a programme evaluated in Study 2 (an ecological trial). The programme modified a supermarket environment to increase the prominence of healthier products (shelf-talkers and no discount), ran positive food experiences (cooking and label reading workshops) and was supported by a community-wide information campaign in social and local print media. Findings A total of 15 new strategies were developed by consumers and staff to support health and well-being in supermarkets. Feasibility discussions and staff voting contributed to the development and storewide implementation of the programme. Evaluation showed that the programme was effective in increasing consumer knowledge of healthier food choices (measured via public survey). Sales analysis showed mixed results; sales increased for promoted products in some categories, but there was no effect in others. Research limitations/implications Given the real-world setting in which this programme and its evaluation were conducted, there were several innate limitations. The co-design process generated many more ideas than could be implemented, thus creating a healthy “pipe line” for the next iterations of the programme. Practical implications The key contribution of this work to supermarket intervention literature is the recommendation to change the paradigm of engagement between the key stakeholders who are typically involved in supermarket programs. Using the co-design and DT frameworks, the authors offer an example of stakeholders working together in close partnership to co-design and collaboratively implement a programme that promotes healthier choices. Originality/value This project contributes to the emerging body of empirical work using DT principles in the area of healthy food choices in supermarkets. A rigorously designed evaluation of a co-designed supermarket programme contributes to scholarly evidence on food well-being programs in supermarkets.

Some relatively simple strategies, such as 24-h discharge or discharge/relocation of long-staying patients, can significantly reduce overcrowding and improve hospital occupancy rates. Shortening administrative and/or some treatment processes have a smaller effect, although the latter could be easier to implement.

No abstract

No abstract

When purchasing packaged products within a supermarket, consumers choose between proprietary or private label brands. However, when purchasing fresh fruits and vegetables, non-branded produce is the dominant option—with proprietary and private label brands only recently becoming available. Previous fast-moving consumer goods (FMCG) research finds that proprietary and private label brands affect consumer loyalty—however, no research exists for fresh categories. This research is the first to determine the effect of emerging brands in fresh categories on consumer buying behavior. Our research examines consumers’ loyalty toward proprietary, private label, or non-branded fresh fruits and vegetables and the level of customer sharing between these options, using analytical approaches applicable to FMCG categories. The panel data contains nearly 46,000 households making over 8 million purchases in the United States during 2015. Results show that proprietary, private label, and now non-branded fresh produce have expected loyalty levels, for their size, and consumers share their purchases across the three options (i.e., consumers are not loyal to just one option). The study analyzes and interprets purchase data in fresh categories offering marketing academics and practitioners actionable advice for working with fresh produce purchase data.