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The purpose of this paper is to describe the Kansei engineering toolkit that has been developed to provide a set of tools and techniques to support better packaging design.

The toolkit has its foundations in Kansei engineering but the work has extended the scope and increased reliability of results by: including structured linkages to designers; replacing “highest level Kansei” from Kansei type 1 with brand values; introducing a more structured process for the elicitation of type 2 selection of pack physical properties; reducing the complexity of the semantic differential survey used to elicit consumer perceptions; and structuring a process for selection of the Kansei words.

The work has shown that the proposed toolkit is able to support the design of packaging by illustrating the process with industrial case studies.

Kansei engineering and the techniques presented in this toolkit are inevitably simplifications of the real situation, since many more variables affect the consumers purchase decision than is tested in this process. There is still a need to test the insights gained by the toolkit into a wider investigation.

This paper offers the packaging industry a robust and repeatable method to develop better packaging.

The paper presents an overall description of the Kansei engineering toolkit for packaging design and is a structured process that provides quantitative results for the relationship between branding, consumer perception and design variables.

Food Loss and Waste (FLW), a result of non-sustainable consumption and production, has significant socio-environmental impacts and is addressed in the United Nation's Sustainable Development Goal (SDG) 12.3. To address current research on FLW and SDG 12.3, the authors aim to evidence the current state of knowledge on drivers and barriers to SDG 12.3 through a comprehensive literature review.

The authors employed a multi-step systematic literature review process and retrieved 171 studies addressing SDGs, with 83 explicitly addressing SDG 12.3. The analysis involved a qualitative content analysis of studies retrieved by analyzing key findings and relationships between drivers and barriers to FLW.

While academic research focuses on SDG 12.3 by stressing the necessity of FLW reduction, it fails to explain the drivers and barriers to minimizing FLW. The authors developed a conceptual framework to demonstrate how barriers and drivers can inhibit or stimulate the dynamics that will achieve SDG 12.3 through effective planning and management.

This study addressed the theoretical limitations of existing studies and clarified the critical gaps in the current literature, thereby guiding future researchers in the food supply chain (FSC) context.

The research to date focused on high-income countries, and future empirical studies should focus on consumption patterns, the associated drivers and barriers of food waste in low-income countries and its social impact.

The purpose of this study was to assess the relationship between quality of life (QOL) and willingness to pay (WTP) for in vitro fertilization (IVF) in patients undergoing treatment for infertility. Adult women (N = 86) in treatment for infertility completed a self-administered mail survey. The Short-Form 36 was used to measure QOL and the contingent valuation method was used to measure WTP. Mean WTP for IVF was $10,277 (SD = $13,210, median $8,000) and mean total QOL was 574.6 (SD = 145.7). There was no significant difference in QOL (p = 0.70) or WTP (p = 0.20) among patients in Stages 1, 2, and 3 of infertility treatment. QOL and WTP were negatively (r = −0.05), but not significantly (p = 0.65) correlated.