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Both governments and the food industry are interested in plant-based products. New products are advertised as climate-friendly, with plant-based materials increasingly replacing animal-based content. In Finland, oat milk dominates the plant-based milk market. The authors studied what features young and urban users of plant-based and cow's milk value in oat milk for coffee and how the preferences of the users relate to ethical food-choice motives.

In total, 308 students filled in an e-questionnaire. The survey used best-worst scaling (BWS), a discrete choice approach, to measure the perceived values related to oat milk characteristics. The ethical motives were measured by a version of the Lindeman and Väänänen scale. Also the respondents' diets were asked. Preference clusters were identified and viewed with the ethical food-choice motives and diets.

The respondent group that exclusively used cow's milk attached more value to taste, added nutritional elements, discounts and recommendations by friends. The rest of the respondents attached more value to origin and sustainability-related features of oat milk. In the six-cluster solution, one extreme cluster was valuing taste and the other was valuing sustainability-related issues. All the ethical food-choice motives: ecological welfare, political values and religion were (roughly) the higher the cluster valued sustainability-related items. The respondents eating meat were more likely to belong to the clusters valuing taste than non-meat eaters that belong more likely to clusters valuing sustainability-related features.

Very few earlier studies have explored the heterogeneity of valuations of plant-based products and the products' relationship with ethical food-choice motives.

Consumer values increasingly favor sustainable development in products and services, thereby fostering the need to develop new operational and managerial practices that support sustainability in supply chain management. The purpose of this study is to identify relevant product features related to sustainable development in this context, and use the choice of mobile phone as an example in measuring their importance.

The study used two different methods (qualitative and quantitative) in two phases. First it organized focus‐group discussions in order to identify the features of sustainability that affect the choice of a mobile phone. The most significant features served as a starting point for the choice of attributes to be included in the final step, choice‐based conjoint analysis (CBC), which assesses respondents' value functions by means of latent class clustering. Between the two major phases it carried out two additional pre‐tests in order to reduce the number of attributes.

The results provide fundamental information concerning the relative importance of sustainability features in the selection of a mobile phone. The study identified four different clusters of purchasers: updaters, budgeters, environmentalists, and long‐life users. According to the findings, some consumers are willing to pay a premium for sustainability features. The authors discuss the potential implications of the results in the context of supply chain design.

The literature on supply chain management tends to see the consumers as a “black box”. This paper reports the first results of opening this box by linking the supply chain perspective to consumer choice behavior.

Health care integration is crucial in improving service equality and patient outcomes. However, measuring integration between the health and social care sectors remains challenging. This article aims to review existing systematic models to identify alternative health and social care integration measurement tools. The review focuses on models that involve systematic planning and long-term cooperation across different organizational sectors.

The study examines various dimensions and elements of integration, including process, outcome and structural measures. It compares different tools used to measure social and health care integration, such as the Rainbow model, Balanced Scorecard (BSC) Scorecard, PRISMA, SCIROCCO, integRATE, health-data simulation (HSIM) and the model developed by Åhgren and Axelsson. The analysis includes both empirical studies and theoretical frameworks.

The findings highlight the importance of standardized measurement methods to assess the impact of integration initiatives on patient outcomes, healthcare costs and the quality of care.

The review contributes to the ongoing discourse on social and health care integration, particularly in the Nordic context. The results can inform social and healthcare providers, policymakers and researchers in evaluating and improving integration initiatives.