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Sustainability challenges are omnipresent. This study aims to identify consumer segments based on food consumption practices from purchasing to disposal. A priori work identified quality attributes, food responsibility, dietary choices and food organisation and management within the home as key influences. Each represents an opportunity for consumers to employ more sustainable food behaviours. A priori work identified several indicators for each of these influences. This study explored the suitability of these indicators for measuring the identified key influences.

The authors used an online survey of 324 Irish food consumers in January 2021 to address online food interests, purchasing preferences and purchase behaviour linked to food sustainability.

The authors identify four consumer segments – food dabblers, food appreciators, pro-sus and pressured – which present a holistic view of the sustainable behaviours practiced by food consumers. The findings provide insight into the range of sustainability-related food behaviours actioned by consumers – from interest in meat-free products, organics and local produce to having an organised stock at home and minimising waste. The findings shed light on how consumers integrate elements of sustainability into their food lifestyles.

This study captures sustainability-related food behaviours from the point of purchase through to consumption and disposal and identifies four new consumer segments based on interests, preferences and behaviours.

The purpose of this study is to explore the support needs surrounding intimate relationships and sexuality of autistic adults accessing funded social care in England.

Semi-structured interviews with 15 autistic adults who were accessing funded social care examined their support needs surrounding intimate relationships and sexuality, with subsequent data analysis using reflexive thematic analysis.

Four themes were generated: Help at hand, but not too close for comfort, No “cookie-cutter rules”: personalised, inclusive approaches, Playing it safe, not leaving it too late, and Autism-informed education and support.

The authors produced an online learning module for social care staff in England on best practice in supporting autistic adults without learning disabilities with relationships and sexuality.

To the best of the authors' knowledge, there has been no other UK-based research published to date on the social care support needs of autistic adults without learning disabilities surrounding relationships, gender and sexuality.

We argue that a fundamental issue regarding how to search and how to switch between different cognitive modes lies in the decision rules that influence the dynamics of learning and exploration. We examine the search logics underlying these decision rules and propose conceptual prompts that can be applied mentally or computationally to aid managers’ decision-making.

By applying Multi-Armed Bandit (MAB) modeling to simulate agents’ interaction with dynamic environments, we compared the patterns and performance of selected MAB algorithms under different configurations of environmental conditions.

We develop three conceptual prompts. First, the simple heuristic-based exploration strategy works well in conditions of low environmental variability and few alternatives. Second, an exploration strategy that combines simple and de-biasing heuristics is suitable for most dynamic and complex decision environments. Third, the uncertainty-based exploration strategy is more applicable in the condition of high environmental unpredictability as it can more effectively recognize deviated patterns.

This study contributes to emerging research on using algorithms to develop novel concepts and combining heuristics and algorithmic intelligence in strategic decision-making.

This study offers insights that there are different possibilities for exploration strategies for managers to apply conceptually and that the adaptability of cognitive-distant search may be underestimated in turbulent environments.

Drawing on insights from machine learning and cognitive psychology research, we demonstrate the fitness of different exploration strategies in different dynamic environmental configurations by comparing the different search logics that underlie the three MAB algorithms.