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Food is important for patients with chronic diseases. Food choice is a multiple-criteria decision problem because there are so many options and factors to consider. The number of chronic disease patients continues to increase. People with chronic diseases eat a lot of healthy food groups, such as vegetarian foods, because it can help prevent, treat, and lower the risk of chronic diseases. People with chronic diseases should eat vegetarian food. From previous research studies, no research has been done to prioritize the appropriate vegetarian food menus for people with chronic diseases. Therefore, the objective of this research is to prioritize the appropriate vegetarian food menu for patients with three chronic diseases as appropriate for each disease by using the analytic network process. The results show that the model for prioritizing food menus in patients with chronic disease is appropriate and nutritionally correct. The benefits of this research can help support food decisions for consumers with chronic diseases. This model encourages people who suffer from chronic diseases to eat nutritious foods that are appropriate for their condition. Vegetarian food that is appropriate for an individual is referred to as being a part of a sustainable food system.

Based on tourist expenditure, food and beverages are a crucial market and healthy beverages are a dominant product developed to serve customer needs. At present, elderly tourist groups emerge with purchasing power in the tourism industry and related businesses. However, market and academic research on healthy beverages still need further knowledge and only a few decision support models exist. The objectives of this research are (1) to investigate major influential factors of consumer behavior (CB) of elderly Chinese tourists on healthy beverages; and (2) to structure a decision support system for CB. The research methodology employs qualitative and quantitative approaches. In-depth interviews are conducted by including 120 experts with 410 survey samples collected from Chinese tourists. Content analysis and structural equation modelling (SEM) are employed to analyze the data, including the sensitivity analysis for testing model robustness. The results show that marketing stimuli affect CB and product innovation at a significant level of 0.05. On the other hand, product innovation slightly affects CB at a significant level. The sensitivity analysis reveals that decreasing price and trial usage are influential CB. Also, the increasing and decreasing of attitude, relative advantage, and compatibility affect CB. This research aims to design an applicable decision support system of CB for Chinese tourists, which can identify influential factors of CB on healthy beverages when an entrepreneur launches a new product and be a guideline for SMEs to assess customer satisfaction by responding directly to customer needs. Moreover, the DSS model can also enable sustainable development and engage the right business strategies that resonate with customer needs.

The objective of this research was to develop a decision support framework (DSF) to assess quantitative risk in multimodal green logistics. This risk assessment is the combination of a number of models, the failure mode and effects analysis, the risk contour plot, the quantitative risk assessment, the analytic hierarchy process and the data envelopment analysis which can support a user to perform risk assessment in various decisions. The contribution of this research is that the risk assessment model can generate an optimal green logistics route in accordance with weight from the user. The highlight of this DSF is that the quantitative assessment model can reduce bias on risk assessment of logistics route. An in-depth case study, recommendations, limitations and further research are also provided. [ABSTRACT FROM PUBLISHER]

The objectives of this research were 1) to analyze factors that influence consumer behavior on healthy beverages for an aging society and 2) to develop a consumer behavior model and decision support framework on healthy beverages for an aging society. Qualitative and quantitative approaches were used to collect data. The research tools were interview questions and questionnaires. The consultants for the in- depth interview were experts in healthcare and the beverage industry. The participants who answered the questionnaires were seniors who live in city and urban areas around Thailand. The data were analyzed using structural equation modeling. The results showed that the influential factors of consumer behavior on healthy beverages were composed of personal factors and psychological factors. Personal factors have a direct influence on psychological factors with a coefficient of 0.93 at a significance level of 0.05. Psychological factors have a coefficient to consumer behavior on healthy beverages of 0.84 at a significance level of 0.05. [ABSTRACT FROM AUTHOR]